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This generalizable immunotherapy approach to cancer seems compelling:
Unlike many other immunotherapies, this one does not require pre-defining antigens.
Based on research from the Levy lab at Stanford, this method introduces a non-specific technique to attack cancers by injecting immunoenhancing agents (TLR9 and OX40) locally into the tumor site. In mouse models, these agents activated a robust, targeted anti-tumoral response.
Clinical trials were launched in 2019/2020.
What's the best way to track the clinical trials and see how this therapy work on humans?
Thanks!
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Because older adults are under-represented in clinical trials, doctors can’t be certain that approved cancer drugs will work as intended in this age group. In the absence of high-quality evidence, researchers are looking for ways to improve medical decision-making and better predict outcomes based on age...
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Dear all,
I am starting working with E0771 cell line since I have to establish an orthotopic breast tumor model in c57 mice but I have no experience with this cell line so I would really appreciate any advice that you can give me.
In particular, I saw the ATCC website and they say that it is better to culture these cells in a t-75 corning flask, maintaining cultures at a cell concentration between 6 x 10^4 and 8 x 10^4 cells/cm2, is this true also for your experience? How many cells do you plate in a 75 cm2 flask?
Do they grow fast? How many times per week do you subculture them?
Sorry for all of these questions but I am new with these cells and so I would really be very grateful for all your advice,
Thanks a lot,
Giulia
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Hi,
It doesn't matter what you culture the cells in, I culture mine in 10cm plates and they are perfectly happy. They do grow quite fast, if you use them regularly, splitting them 1:10 usually means splitting them 2-3 times a week. They are fine with being split more harshly if you don't need them as much and want to reduce the number of splits. Be careful that you don't leave them confluent for too long, as with most cells, they're not happy like that, especially since they use the nutrients in the media quite quickly.
Good luck with them!
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Cancer incidence is increasing globally. It is widely believed that increased life span is the main reason cancer risk overall is rising. A paper published in the Lancet reports that delays in screening, diagnosis, and treatment due to the COVID-19 pandemic could lead to excess cancer deaths, and slow or even reverse the declining trend in mortality projected for some cancers. https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(22)00111-6/fulltext
Furthermore, the report by Harvard Medical School researchers at Dana-Farber Cancer Institute and colleagues from other institutions, suggests that COVID-19 has complicated the treatment for patients with cancer. "In patients with cancer, COVID-19 can be especially harsh. This is likely because many of these patients have a weakened immune system—either as a result of the cancer itself or the therapies used to treat it—and are therefore less able to fight off infection by the new coronavirus". https://hms.harvard.edu/news/covid-19/cancer-interplay#:~:text=In%20patients%20with%20cancer%2C%20COVID,infection%20by%20the%20new%20coronavirus
In 2021, a research team led by Zhou highlighted the clinical and molecular similarities between cancer and COVID-19 and summarized the four major signaling pathways at the intersection of COVID-19 and cancer, namely, cytokine, type I interferon (IFN-I), androgen receptor (AR), and immune checkpoint signaling. They also discussed the advantages and disadvantages of repurposing anticancer treatment for the treatment of COVID-19. However, Professor Abdollah Jafarzadeh and his research team, in their paper "Review SARS-CoV-2 Infection: A Possible Risk Factor for Incidence and Recurrence of Cancers" explored another aspect of the interplays of COVID and cancer. Their findings which are published in the International Journal of Hematology-Oncology and Stem Cell Research might shed some light on the dark corners of the potential interactions of COVID-19 and cancer development. https://ijhoscr.tums.ac.ir/index.php/ijhoscr/article/view/1408
Jafarzadeh et al. reported that the patients with some types of cancers may be more vulnerable to SARS-CoV-2 infection compared with the non-cancerous individuals, due to their immunocompromised state resulted from malignancy, chemotherapy, and other concomitant abnormalities as well as perhaps greater expression of angiotensin-converting enzyme 2. Moreover, they reported that clinically recovered COVID-19 individuals display immune abnormalities that persist several months after discharge.
The lymphopenia-related immunosuppression, functional exhaustion of cytotoxic lymphocytes (such as CD8+ cytotoxic T-cells and natural killer cells), hyperinflammatory responses, oxidative stress, downregulation of interferon response, development of the myeloid-derived suppressor cells, downregulation of tumor suppressor proteins and perhaps reactivation of the latent oncogenic viruses may directly and/or indirectly play a role in the cancer development and recurrence in severe COVID-19 patients. https://ijhoscr.tums.ac.ir/index.php/ijhoscr/article/view/1408
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It is increased due to alter body immune system by virus and drugs taken during infection
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Dormancy leads to solid tumour Minimal Residual Disease. Awakening from dormancy leads to early or late metastatic disease.
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I have a trouble need to solve for my experiment. I work in breast cancer cells. In my research, I want to check the adipocytic stimulation after treatment of Docetaxel and docxorubicin. As you know, cells will die after docetaxel and doxorubicin treatment. 72hours after anticancer drug treatment, I did Oil Red O staining for adipocytes stain. After that, i measured for OD at 500nm. But I want to normalize how many cells in each sample after staining. It means that I want to check how many cells were stained for Oil Red O stain. Does anyone have a suggestion?
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Haley Overby I would also be very interested in your protocol
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Current search engines for MS/MS protein identifications such as: Mascot, MS Amanda, Sequest, etc., currently rely on the creation of a search library composed of computationally generated potential peptides through the cleavage by proteases (e.g., trypsin) of proteins from a given database. Different PTMs can be added to these computationally generated peptides, so that the search could be extended to address specific scientific questions, but this leads to significantly higher computational costs.
I have recently come across a case, where a highly enriched short protein could not be identified by a standard search, given that it was only generating a single peptide that had 2 fixed modifications. The modifications were not the most common there were and finding the right combination to use was time and computationally expensive.
I would like to open a discussion on the fact that pre-made peptidome libraries are a much better alternative to de-novo generated libraries of proteomes. Let’s get into the details!
As an example, I will use the ACE2 receptor, now infamously known to be the entry gate of Covid-19 into human cells.
The human ACE2 receptor undergoes a series of post translational event, such as: proteolytic cleavage by ADAM17 resulting in a soluble proteoform, glycosylation and phosphorylation of tyrosine-781 and serine 783.
In current search engines, the tryptic peptides generated would be generated from the first Methionine to the next positively charged residue and so on until the very last residue of the protein. If one would like to detect this protein in a sample and asses the presence of the mentioned PTMS, you would need to look for at least 2 phosphorylation sites per peptide and also check for S and Y phosphorylation. The search engine will then generate all possible combinations of SY single and double phosphorylate tryptic peptides to search for, which leads to exponentially increasing computational costs.
Since the protein is also cleaved by another protease in vivo, the 2 peptides before and after this site will not be accounted for as they do not end/begin after a positive residue. Since this is not a small protein, other peptides will probably still be detected, and the protein will eventually be identified.
I imagine a tool which would be used to generate the tryptic peptides as before, only accounting for the known PTM sites. In case of the ACE2 2 almost adjacent phosphorylation sites, this would lead to only 3 additional peptides (pY, pS, and pYpS). If the research question being asked is to identify novel phosphorylation sites, then only 1 phospho-site per peptide while looking for STY phosphorylation might already suffice, since the known ones will have already been accounted for. This can be applied to any combination of PTMs, massively reducing computational requirements. It is of course counterproductive to looking for PTMs in sterically inaccessible regions for example (e.g., hydrophobic core of the fold)
Databases of know annotated PTM sites of entire proteomes of many organisms are readily available. The tool could have a modular design in allowing the user to create a customized peptidome having any or all the following characteristics: trypsin/other enzyme used and/or accounting for known endogenous cleavage sites and/or accounting for known PTMs sites and/or accounting for natural variants.
I see a long list of advantages using this method and I would like to list the most important ones:
1. Identification of additional hits that could have been missed due to several reasons (e.g., tryptic peptides contain fixed modifications while not searching for these specific modifications due to computational resource limitation, or worse, small protein that would normally only yield in a single peptide that has 2 fixed modifications, one of which might be exotic)
2. Reduced computational time when trying to identify novel PTM sites
3. Lower false discovery rate since the peptidome used will be a much more closely related dataset to the actual sample composition than just a simple tryptic proteome and as a result newly identified spectra of interest can be more confidently assigned as the risk of artefacts is lower.
4. Single nucleotide polymorphisms can be analyzed analogously to PTM sites and would not result in exponentially larger search database.
5. More unique peptides could be assigned: If 2 proteins share a tryptic peptide, but one is known to be phosphorylated in this peptide but not the other, one could distinguish the phosphorylated peptide as having come only from one of the 2. In case of glycosylation this makes even more sense since some types of glycosylation only appear in a limited number of proteins, depending on their cellular localization
As the human proteoform project is taking on, maybe this would be the way of MS based proteomics to quickly catch up and help this project while advancing itself.
What are you thought on this? Are there any ongoing projects that would aim to do just that?
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To me, this debate seems somewhat reminiscent of the peptide-centric vs the spectrum-centric approaches.
Limiting the search space is generally a good idea for reducing FDR. Of course, if your peptide is not in your “limited” library you have no chance of identifying it. I see this as the biggest issue with this type of approach.
X!Tandem (and now other search tools) takes the approach that you do a broad initial search with few PTMs specified, then you broaden the PTMs once you have a smaller list of proteins to search. A neat approach in my view.
I’d be very careful with this source of information; “Databases of known annotated PTM sites of entire proteomes of many organisms are readily available.” I know of someone with a lot of de novo MS/MS experience who has undertaken an extensive manual review of phosphopeptides in the databases. The estimate (unpublished) is that around 30% are wrong. As tools progress and the amount of data increases, we look less at the raw MS/MS data. This is for very practical reasons, no one can manually verify 10,000 phosphopeptides, but we still need care when using this type of data.
Here are some papers that may be of relevance for you;
Lu, Yang Young, Jeff Bilmes, Ricard A Rodriguez-Mias, Judit Villén, and William Stafford Noble. “DIAmeter: Matching Peptides to Data-Independent Acquisition Mass Spectrometry Data.” Bioinformatics 37, no. Supplement_1 (July 1, 2021): i434–42. https://doi.org/10.1093/bioinformatics/btab284.
Searle, Brian C., Lindsay K. Pino, Jarrett D. Egertson, Ying S. Ting, Robert T. Lawrence, Brendan X. MacLean, Judit Villén, and Michael J. MacCoss. “Chromatogram Libraries Improve Peptide Detection and Quantification by Data Independent Acquisition Mass Spectrometry.” Nature Communications 9, no. 1 (December 3, 2018): 5128. https://doi.org/10.1038/s41467-018-07454-w.
Ludwig, Christina, Ludovic Gillet, George Rosenberger, Sabine Amon, Ben C. Collins, and Ruedi Aebersold. “Data‐independent Acquisition‐based SWATH‐MS for Quantitative Proteomics: A Tutorial.” Molecular Systems Biology 14, no. 8 (August 1, 2018): e8126. https://doi.org/10.15252/msb.20178126.
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I want to know:
  1. if microbes play any role in increasing cancer stemness and metastasis.
  2. do they increase cross-talk in the tumor microenviroment
  3. any other way microbes increases lethality of cancer
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Microbiota influence many aspects of our health including our cancer risk. Since both microbes and cancer cells rely on incoming resources for their survival and replication, excess energy and nutrient input from the host can play a role in cancer initiation and progression.
Metastasis, in this view, is a secondary disease that affects the initial tumor cell. The original cell's cell cycle is disrupted, yet it has no desire to leave its source. According to the fusion theory, a healthy migratory leukocyte merges with a primary tumor cell, resulting in the acquisition of a metastatic phenotype. The resulting hybrid, like the original cancer cell, has the ability to travel across the body of a white blood cell while dividing uncontrollably
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All tumors have DNA mutations, and a predictive understanding of those mutations could inform clinical treatments. However, 40% of the mutations are variants of unknown significance (VUS). So the challenge is to objectively predict whether a VUS is pathogenic and supports the tumor or whether it is benign. We are working on this problem and would welcome feedback on our efforts (see doi: 10.3389/fmolb.2021.791792 ) and also alternative ideas and insight.
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I am very interested in this because of the multiple mutations in Papillary Ca of Thyroid which are VUS and how best to discern if they are more likely to be pathogenic. So far I look at Clin Var and a few other sources so I will take a look at your paper- thank you!
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I am doing my research on Cancer biology.
I need your suggestions in order to perform GWAS of autoghapy related gene in homo sapiens.
Kindly please suggest me some information about tools for the same.
Thank you all in advance.
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Maybe the following website will help you! http://www.autophagy.lu/
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I should use the BCH for inhibition experiment for LAT1. I saw that BCH is soluble in 1M NH4OH but I cannot use this solution with cells.
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The following attachment may be relevant to this query
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Could someone kindly clarify why aerobic glycolysis is required for cancer cells? That is, if tumor cells used OXPHOS, would they be unable to grow and metastasize as well?
The most commonly cited benefit of aerobic glycolysis seems to be accelerated glucose uptake, but why is this required for long-term growth as opposed to short-term spurts? The timeline for cancer progression is normally months or years, not hours or days.
Moreover, despite consuming glucose faster, total ATP production from aerobic glycolysis is lower. That is, during the time OXPHOS consumes 1 glucose molecule, aerobic glycolysis may consume 13 glucose molecules -- yet this yields fewer ATP molecules.
If correct, total energy production inadequately explains the relationship between cancer cells and aerobic glycolysis.
Is the timing of ATP essential? Perhaps cancer cells need fewer shots of ATP molecules but at a higher frequency rather than wait for one large batch from OXPHOS?
Or what are the other benefits of aerobic glycolysis over OXPHOS?
Ultimately, why would cancer cells be less successful with OXPHOS?
Thanks in advance for your help.
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Aerobic glycolysis creates an acidic micro environment that compromises the TEJ of the normal native vasculature creating vasogenic edema which increases the glucose concentration in the tumor micro environment, favoring unregulated cellular proliferation. MREPT can detect vasogenic edema enabling minimally invasive ablation of cancer before cellular mass inhibits diffusion, and much before the formation of tumor vasculature can create “washout “.
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Metabolic rewiring and epigenetic remodeling, which are closely linked and reciprocally regulate each other, are among the well-known cancer hallmarks. Studies have reported use of Onco-metabolites to metabolically reprogram the epigenetic of cancer. I was wondering what might be major limitations of such techniques?
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Hello. This topic is not exactly my field, so I cannot give you a satisfactory answer. I will be happy to follow all the news and discussions in this field.
Regards, Zlata Felc.
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There is incremental bone loss in postmenopausel women with ER+ breast cancer treated with aromatase inhibitots
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It really depends how you mean by long-term . The trial/paper which is “respectable” which has the longest follow-up i know of is about 5 years. That might not be long enough for you but that’s the best one available.
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In the attached image, it shows the cleaved PARP densitometry analysis from western blot. Cleaved PARP is commonly used for apoptosis. Treatments (A and B) were tested along with control and the two time points were used 8h and 24h.
I'm trying to run qPCR experiment looking at mRNA levels of apoptosis markers such as BCL2 and PUMA. My question is do I choose 8h for qPCR assuming that mRNA comes before protein so looking at an earlier timepoint is better? Or do I choose 24h since I see the significance in cleaved PARP at 24h in western blot?
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Why not both?
qPCR is pretty cheap, and you'll get more information about what's going on if you look at both 8hr and 24hr timepoints.
Ideally you'd have more timepoints, even. 0, 2, 4, 8, 24, for example.
Plus be aware that you'll only be measuring transcriptional responses: any apoptotic responses using existing, already translated BCL2 protein (for example) will not be reflected in your qPCR assay.
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Is transfection technique is best in the field of cancer biology or any other technique is there instead of gene transfection for generation of modified cell line?
any othe simple or cost effective technique is there apart from gene transfection?
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There are many methods for transfection, physical and chemical. Electroporation, magnetoporation, sonoporation which permeates cells these are physical methods. In chemical you can use lipofectamine or PEI.
Even you can make surface functionalized or modified nanoparticles for receptor mediated endocytosis into the cells.
It's all depends on you what u want to do and accordingly u have to choose the methods. I hope it Will help you.
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Iam interested in both Diversity and Cancer Genetics related Work... could u Please Suggest some research topic...it helps a lot...
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For doing project in Masters, you need not do elaborate research work as thesis and in this regard I would suggest you to survey the entomofauna of a particular area.
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I am trying to grow Kasumi-1 cell line. I use RPMI 1640 and 20 % FBS but cells never seem to be growing. They keep on shrinking in size and eventually die off.
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have you tried heat inactivating your FBS? I have found that this really helps Kasumi cells grow better.
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This seminal paper by Paul Mischel rediscovered the relationship between extrachromosal DNA (ecDNA) and cancer:
1. How much would it cost to replicate the part of the experiment that generated subcutaneous tumors from seeds containing 200/2000/20000 cells of FACS-sorted EGFRvIII High/EGFRvIII Low subpopulations?
2. How much would it cost to sequence these tumor cells?
Thanks for your help!
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Shalini Sanyal Thanks for your answe.
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The prevailing theory is that cancerous tumors reflect a form of cellular natural selection, where random mutations confer evolutionary advantages to tumor cells. These survival benefits accumulate over time, eventually empowering tumor cells to outcompete healthy cells and defeat the immune system.
Given this theory, one expects a correlation between cell division rate and cancer rate -- tissues with the highest number of cell divisions should show the highest incidence of cancer (environmental and hereditary factors notwithstanding).
However, few papers seem to verify this assumption, or even document cell division rates and lifetime cell divisions among different tissues.
These are the two best papers so far:
However, the same senior author leads both papers, and the papers seem to omit the most common cancer types, breast and prostrate. Furthermore, the methodology seems fragile as they conducted an analysis across different studies that may not have employed uniform methods.
Could anyone recommend more robust or authoritative papers on the subject of cell division rates?
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I wish you Mr Clarence Hu to be a doctor very soon . Best regards.
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I am looking for papers, reviews or books in cancer biology and molecular pharmacology esp in HCC or NSCLC
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This is a big picture summary on: Hallmarks of Cancer: The Next Generation
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Mitochondria can sense and control nutrient catabolism and anabolism and they are becoming ever so important in cancer biology.
Apart from the in vitro techniques involving FACS, TEM, metabolomics, enzyme assays and Seahorse what are some other ways to show mitochondrial dysfunction. More importantly, how do we show this in animal models.
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Hello,
SV40 is not considered an oncogenic virus in this review:
Why is SV40 not considered an oncogenic virus when it produces the large T antigen, which is used to immortalize mammalian cell lines?
Additionally, SV40 proteins have been found in human tumors.
Could this lack of coverage possibly have something to do with the fact that the polio vaccine introduced SV40 into the human population in the late 1950’s? How many people are actually positive for SV40 proteins? How many of these people develop cancer? Why are SV40 proteins not tested for regularly, given that they are an indicator of cancer?
Thanks!
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Please have a look at the following RG link.
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AF2 may most strongly impact experimental determination of protein structure by multiple methods with possible benefits and negative impacts over time.
Some areas may need to quickly pivot or become obsolescent, whereas other may thrive.
Structures of large macromolecular machines should be enabled by having accurate computational structures for subunits and components.
The already great value of sequence data (which is doubling every 8 months) is likely to become far greater by being more directly connected to spatial information.
Overall the pace of biology and biophysical advances can be expected in increase by the ability to better harness the flood of sequence data.
What do you think?
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X-ray people might be impacted more than NMR and cryo-EM people by AF2. It may replace all biophysical techniques for structural determination someday, IMHO, they advertise much better than academic groups for the things they've achieved and still a long way to go (like when Rosetta first introduced). Not to mention the missing pieces like non-natural amino acids, binding partners, dynamics, different circumstances in the cell, more or less scientists would like to validate the prediction experimentally. However, it is hard to argue with its valuable inputs and insights before wet bench works that cost a lot.
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I am culturing U266, a suspension cell line and run out of the untreated flask. Can I culture the suspension cells in treated flask?
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It will depend on the future study that you have to conduct with your cells.
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Hello
Recently, I am curious to know about mechanisms of endometriosis and signaling pathways.
I have a question about the difference between signaling pathways in benign tumors and malignant tumors.
Since I studied, I noticed that the signaling pathway involved in benign and cancerous cells is similar, like MAPK signaling, Wnt Signaling, Apoptosis, Cell adhesion and angiogenesis.
So, what is the difference between endometriosis and ovary cancer in terms of pathway ?
Thank you in advance.
Kimiya
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It would be better to compare benign and malignant conditions in the same organ/tissue: endometriosis vs endometrial cancer, for example, instead of uterus compared with ovary tissue.
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A study by Peeters et al. (2017) suggests that sugar traps cancer in a 'vicious cycle' which make it more aggressive and harder to treat (1). On the question-and-answer site Quora, Ray Schilling, MD, concludes: "there is a connection between the consumption of sugar and starchy foods and various cancers in man. Animal experiments are useful in suggesting these connections, but many clinical trials including the Women’s Health Initiative have shown that these findings are also true in humans. It is insulin resistance due to sugar and starch overconsumption that is causing cancer" (2).
References
1. Peeters K, Van Leemputte F, Fischer B, Bonini BM, Quezada H, Tsytlonok M, Haesen D, Vanthienen W, Bernardes N, Gonzalez-Blas CB, Janssens V, Tompa P, Versées W, Thevelein JM. Fructose-1,6-bisphosphate couples glycolytic flux to activation of Ras. Nat Commun 2017; 8: 922. doi: 10.1038/s41467-017-01019-z. https://www.nature.com/articles/s41467-017-01019-z.pdf
2. Schilling R. Why isn't sugar portrayed as bad like cigarettes? https://www.quora.com/Why-isnt-sugar-portrayed-as-bad-like-cigarettes
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The fact that cancer cells use more sugar than non-cancer cells, known as the Warburg effect, appears to form the basis of the current question. Nevertheless, it is not yet known if this effect is merely a symptom of cancer or whether it is the cause of cells becoming cancerous. Evidence indicating the way cancer cells metabolize sugar is not conclusive, either. Considering refined or added sugar, the bulk of the available evidence indicates that sugar is not a carcinogen. There is no evidence that eating sugar causes cancer or speeds up its growth. There is also no evidence that eliminating dietary sugar causes cancer to shrink or disappear. However, it is known that eating excess sugar, especially added sugars, can contribute to many chronic diseases such as obesity and diabetes, which are potential risk factors for several types of cancer.
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There are several EMT markers in cancer, such as vimentin, n-cadherin, SNAIL, TWIST, ZEB etc. How do you decide which one to use?
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Dear adity,
I think that you cannot decide to use only one instead of another. given that EMT is a pretty complex event you should decide according combinations of them.
for example: Twist-1 and Zeb-1 are two of the main four transcription factors therefore if you choose them. I would include also E-cadherin ( epithelial) and N-cadherin (mesenchymal) in order to verify the cadherins switch typical of this event.
moreover, assuming that tumors with increased activated pAKT and pERK together with decreased E-cadherin expression are destined to undergo EMT I would also include pAKT and pERK to have a more complete and wide view of the process.
last but not least: vimentin and cytokeratin in order to control if you'll have modifications of the intermediate filaments. please first verify which type of keratin your tumor specifically express in order to be more precise.
hope this can help
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I am staining patient blood sample slides for identifying CTCs and I use the epithelial marker pan cytokeratin and mesenchymal marker Vimentin. I stain WBCs for CD45 marker. And I have seen that almost a big chunk (~60%) of my WBCs stain positive for vimentin . I am using the technique of immunofluorescence. Can someone please tell me the reason for this?
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" Vimentin is a cytoskeleton intermediate filament protein present in cells of mesenchymal origin; this includes leukocytes, endothelial cells, and smooth muscle cells."
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Guanine-rich DNA sequences can fold into four-stranded, noncanonical secondary structures called G-quadruplexes (G4s). G4s were initially considered a structural curiosity, but recent evidence suggests their involvement in key genome functions such as transcription, replication, genome stability, and epigenetic regulation, together with numerous connections to cancer biology.
The capacity for guanylic acid derivatives to self-aggregate was noted over a century ago. Some 50 years later, fibre diffraction revealed that guanylic acids form four-stranded, righthanded helices leading to a proposed model in which the strands are stabilised via Hoogsteen hydrogen-bonded guanines to form co-planar G-quartets.
However, why guanine specifically? Why not adenine, thymine, or cytosine quadruplex?
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Interesting question. Following the discussion.
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(For survival tests and probit analysis)
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Dear Mr. Kapoor,
you will have to email Dr. Ehab Mostafa Bakr the registration number of your Ldp line software to get the key number. the registration number can be found on the registration window when you open ldp line on trial verson. his email address is Ehab@ehabbakr.com. I got mine for free.
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cancer biology researchers, those do western blotting frequently.
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Here it is the stock recipe.
I always make the reagent from stock promptly before detection. 1 ml Tris, 9 ml steril UP water in sterile tube, mix, add 22.5 microL p-coumaric acid, mix, then add 50 microL luminol, mix, then add 3-6 microL H2O2. Pipette it in a laminar hood, a sterile way.
This is for one blot. Do not use ethanol for washing. It kills the reaction in a minute amount even.
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What happens when we culture cancer epithelial cells in TCPS?. Is the cell present as epithelial or differentiate into mesenchymal cells?.
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Aug 2, 2016 - Three-dimensional (3-D) cultures of cancer cells can potentially bridge the gap ... alternative to 2-D cell culture [3] as they can reproduce many aspects of the tumor ... to cells grown on 2-D tissue culture polystyrene plates (TCPS). ... If you allow us to do so, we also inform our social media, advertising and ...
by SP Lamichhane - ‎2016 - ‎Cited by 32 - ‎Related articles
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Hi all,
Does eosin stains collagen in IHCs in typical H&E staining? Please share your thoughts below as comments. Please add a reference if possible (much appreciated).
Best,
J.
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Thank you..!!
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For example CD44 is a stem cell marker, whereas Vimentin is an EMT marker. Mesenchymal cells are called MSCs (Mesenchymal Stem Cells), then why are there different markers for stem cells and mesenchymal cells?
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A mesenchymal stem cells (MSCs) is one of the types of stem cells. It is mainly tissue-specific which means it has been isolated from different tissues mainly adult tissues. CD44 is one of the most prominent positive markers for MSCs while others are CD70, CD105, CD90, while negative markers are CD34, HLA-DR. However, the same CD44 is also considered as markers for breast cancer stem cells also.
The difference in markers of stem cells is because of their origin or site of isolation. For example, embryonic stem cells, Induced pluripotent stem cells, etc have different promising markers so those markers are being used for identification.
Now, Vimentin is an EMT marker that describes process within the cells, not cell types while CD surface markers are for cell-type identification markers here more specifically for stem cell identifications.
Yes, vimentin expression also has been analyzed in MSCs but it mostly to understand its characteristics that are fibroblastic nature which determines the EMT process let say cells migration ability which any cell will gain after they leave epithelium and start moving like mesenchymal cells. Vimentin use is not only for MSCs, it can be looked into any cell type, very common in cancer cells study purpose.
The whole concept is moving around the cell identification, characteristics, and processes carried out by any cells. Now, there are specific markers also there as well as overlapping markers are also there. This is because of origin and lineage memory. Please find a few attachments.
I hope it will help you. If I went wrong please do let me know.
Regards
Saurabh
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Hello Everyone,
I have some questions related to a drug called Cobalt 2 chloride hexahydrate.
I am currently preparing an experiment related to Hypoxia. I bought a drug called " Cobalt 2 chloride hexahydrate" (from Sigma Aldrich) with the molecular weight of 237.9 g/mol and the total weight is 5g.
I want to know what is the best stock concentration should we make for this drug? Plus, how much H20 should we add to the drug ? and the optimal condition to store this stock concentration?
Furthermore, can you recommend me the best final concentration of this drug to mimic the Hypoxia environment? any ideas?
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Dear Sv Mg, you're very welcome. Normally, cobalt(II) chloride itself is rather stable under normal conditions. However, you can't do anything wrong when ypu store the stock solution at 4 °C in the refrigerator.
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I have ordered KSFM media kit but the supplier forgot to send the BPE with the package. I need to run an experiment using NP69 as normal panel cells for anticancer drug test. I have FBS laying around, is it advisable to use FBS while waiting for the BPE delivery? The media KSFM has supplement growth factor and human recombinant EGF added.
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Dear researchers, I'm trying to find the NP69 cell line, but ATCC and Sigma Aldrich don't have it anymore.
Can you suggest where I can buy them, please?
Thanks in advance Raffaele
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Oncology is a branch of medicine that deals with the prevention, diagnosis, and treatment of cancer. A medical professional who practices oncology is an oncologist. The name's etymological origin is the Greek word ὄγκος (óngkos), meaning 1. "burden, volume, mass" and 2. "barb", and the Greek word λόγος (logos), meaning "study".
Cancer survival has improved due to three main components: improved prevention efforts to reduce exposure to risk factors (e.g., tobacco smoking and alcohol consumption), improved screening of several cancers (allowing for earlier diagnosis), and improvements in treatment.
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Lauren Pecorino
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics
3rd Edición
ISBN-13: 978-0199577170, ISBN-10: 019957717X
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Molecular and Biochemical methods
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Thank you Mr Kiss for your comprehensive answers. Appreciate it very much
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I'm interested in the required knowledge,skills and branches of science that I may need to study in order to make a research in nano-medicine for cancer therapy. A list of references or something similar would be of great help to me. Thanks for all your kind responses.
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I am new in this field but my understanding that someone need knowledge and skill for extraction of reducing agent, synthesis of nano-particle and characterization of nanoparticle by different types of microscopy ( SEM, TEM, XRD ... etc) and studying applications ( antimicrobial activity, anti cancer activity, etc)
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I would like to know the mechanisms by which the bacteria induce cancer?
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Please take a look at the following RG links.
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I 'm doing my final pg...and now want to do a project. could anyone help me to get a relevent topic of current interest
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Dear Uma, maybe our paper can bring you an answer:
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Is it because we are trying to target these cells before they have a chance to divide??? I guess I don't understand the logic behind this.
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"Low" confluence (30-50%) should be used for evaluating cytostatic effects. In other words, how effectively a drug will be able to stop actively proliferating cells from dividing (cell cycle arrest). We use this confluence so that the cells will have space to grow and divide. For example: if you want to test the cytostatic effect of a drug and you seed cells at a confluence of 70%. Chances are that by tomorrow (exactly prior drug treatment), you will have a confluence close to or equal to 100%. You won't be able to see differences between treatment groups since the drug will only affect proliferation, but they have already reached confluence (they cant proliferate further from the physical limit of the monolayer and the well of the plate). The lower range of confluence will be determined by the sensitivity of the assay used to detect the cells and the higher range of confluence by the proliferation rate of your cells. (e.g. MDAMB231 cells are highly proliferative, i will opt for seeding them at 20% confluence, SKBR3 proliferate slowly, i will seed them at 50% confluence for addressing a cytostatic effect of a drug)
High confluence (70-90%) for a cytotoxic effect. In other words, how effectively a compound will be able to induce cell death in your cell population. In this case, initial confluence is more flexible, but it will always start from a determined amount of cells and after the treatment, you will have the same amount of cells (if the treatment has no cytotoxic effect) or less.
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I'm focusing on the Ras/Raf/MapK/Erk pathway and I'm expecting to see both when I treat with a MEK inhibitor in pancreatic cell cancer line. While I dramatically reduced levels of pERK, there's VERY little cell death. Does this mean that apoptotic pathways aren't necessarily rescued in this case or it is a technical issue where I should leave my cells in the treatment for longer than my current timepoint?
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6 could be indeed quite a short time to see apoptosis. I would also suggest you to start with a time-lapse experiment rather than an end point experiment. It is sufficient to have a nuclear marker to recognize apoptosis, or even in white-field illumination. With a time lapse experiment you can immediately realize when apoptosis occurs and the later to do an end-point experiment with the time that you learned from time-lapse.
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Our lab is currently testing the NTA (Nanoparticle Tracking Analysis) technique with the ZetaView from Particle Metrix. However we are really surprised how variable measurements are and how easy it is to get the results you are expecting just by changing the parameters randomly. It seems to have a lot of limitations. Nevertheless NTA is used widely in the EV field. 
I tried to measure the fractions of an Optiprep density gradient to get an idea how many particles are present in each fraction. Is it possible to measure all fractions with the same settings and to compare the absolute particle numbers? Particle Metrix told us that different subpopulations might require different settings. That is why I was asking myself how I should adjust the settings to the different EV populations that I find in my gradient fractions. 
Thank you very much for your help.
Best, Kathrin
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Dear Kathrin Any updates? We saw the same limitations with ZetaView
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Picrosirius red staining for collagen can be used to distinguish between type I and III collagen under polarized light. But under regular light of a bright-field microscrope, does the red staining include all collagen types? Thank you!
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Based on Junquera et al 1979, a lot of works distinguish between collagen III and collagen I by their color after the use of picrosirius red F3BA dye and observation under polarized light. Red/yelow is associated to collagen type I and green to collagen type III, several authors such as Pierrard (1989), Rich and Withaker (2005) or Collins (2011) do not agree with this method of distinction between collagen types. Here is the arguments put forward by “Lattouf et al 2014”
(a) The first article of Junquera and its colleagues has been published before elucidation of heterotypic collagen fiber organization by Fleischmajer et al (1990) and Slepecky et al (1992). Thus, all collagen fibers are constituted by different types of collagens such as collagen type I, III, and V in vessels, skin, bone or gingiva or collagen type II and IX in cartilage. So, it seems to be difficult to distinguish, in the same fibers, between collagen type I or collagen type III after interaction with picrosirius dye. It also be noticed that the proportion of the different collagen types constituting collagen fiber regulate its diameter.
(b) Vascular Ehlers Danlos (vEDS) syndrome is characterized by COL3A1 mutations and lack of collagen type III in extracellular matrix. We use skin of patients suffering from this syndrome to show, as well as in skin of healthy subjects, the presence of greenish fibers after picrosirius red dying under polarized light. Lack of collagen type III in vEDS dermal extracellular matrix was checked by specific immunochemistry.
(c) After picrosirius red dying, we change by rotation of the microscopic stage, the angle between collagen fibers and the polarized light to demonstrated subsequent change of collagen fiber colors using normal healthy skins or collagen lattice sections.
So, if we concluded that Picrosirius red staining (under polarized light) should not be use to determine fibrillar collagen phenotypes, we remember that this dye is a powerful mean to measure physiopathological variations of collagen network in tissue sections associated to histomorphological analysis.
With my Best regards
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I have been imaging many z stacks of Drosophila mid/hindgut tumors using a leica confocal microscope. I'm wondering what the best way to quantify these tumors would be. They are GFP+.
I know both leica and image J have quantification programs. Any preference? Any recommendations would be greatly appreciated!
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Are you looking for 3D information like volume and surface area? If so, you need to analyze them as a volume with 3D Objects Counter. If you are looking for 2D information, then you don't need the 3D Objects Counter plugin and you can do standard 2D measurements. If the projection isn't too filled with structures (which can happen in large z stacks filled with dense structures), then I prefer to measure in the sum intensity projection rather than the maximum intensity projection. A max projection is only selectively displaying some brightest pixels from the volume and skews the measurements. The Sum projection shows the integrated value of all pixels, so especially if you are quantifying intensity this is important. or, if the information you need is contained within individual planes then you can measure a representative plane or planes.
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I am currently doing senesecence-related beta-gal staining. The problem is I have to spend a lot of time to count the cells, which was indeed countless.
Does any one have an idea about how many cell counts are considered "enough"? How many different scopes should be taken in consideration of repitition?
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In case this helps anyone else, I have noticed that the brightfield "blue" beta gal staining shows up very nicely using a generic far red excitation/emission channel.
This makes it very easy to quantify with DAPI staining using software like QuPath to automatically generate percent positive cells, or positive cells/mm^2. That should let you quantify as many cells as you can take images of, provided your image file format is compatible with BioFormats or Openslide (most of them are these days!).
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There are a lot of published data that showed association between vitD deficiency and many disorders e.g. diabetes, metabolic syndrome, CVD, cancer,...
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Please see the following PDF attachment.
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Hello everyone,
I have two questions, please shed some light on this. I am new to in vivo studies and some may find my questions are trivial. TIA.
My first question is,
I wanted to develop the MCF7 mouse xenografts. I did a search and came to know that the injection of estradiol is recommended to develop tumours prior to injecting the MCF7 cells. Also, I have seen some papers without estradiol. Can you tell me the role of estradiol in tumour formation? Can the mice form tumour without estradiol?
Lastly,
Once the tumour reaches a definite volume, I wanted to inject my compound of interest. Here is the question, which is a simple way to inject? I have found the following ways related to my studies.
1. Trochar
2. Microosmotic pump
3. Intraperitoneal
4. Oral gavage
Please recommend me a simple way to introduce my compound to the mice. If you have a better option also welcome.
Many thanks in advance,
Arun.
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Thank you, everyone, for your valuable suggestions. I have seen in a few research papers that people developed tumours without using estradiol supplements. Is it possible to do so? TIA.
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I want to know whether tumor cells share their information by time passing. I were wondering if anybody could answer my question and introduce some good resources in this regard?
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The answer is "Yes". Please see the following PDF attachments.
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I once had a colleague in a university, he was a professor of postgrad studies. About three years ago he suffered a bladder cancer, see for example: http://www.cancer.org/cancer/bladdercancer/. Then he took a surgery abroad, but it seemed that the cancer was spreading. So he decided to take herbal remedies besides taking chemotherapy.
I am not sure what happened then, except the fact that two years ago he passed away. I dont know exactly if his condition worsened because of cancer grew or not. But this story makes me ask about the safety and effectiveness of herbal remedies. Some people think that herbal remedies have better credibility over other alternative medicines.
So do you agree that herbal remedies are safe for cancer treatment? Do you have experience. Thank you.
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Kindly see the following PDF attachments.
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Hi,
i am currently looking for an experiment alternative to southern blot. I heard that pcr based assays give results quickly ( let's say within few hours). I want to perform sybr green relied pcr to detect copy number of my interested gene in the human genome like in southern blot. however, I couldn't find a proper protocol. If you address a protocol or share your experience, I will appreciate.
Thanks.
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Agree with the author above. If there are multiple copies of GOI scattered around genome, Southern blot may not resolve all of them, and qPCR may also be inconclusive. You may need to do NGS using long read platform to convulsively determine the copy number. qPCR is handy for an estimate.
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I need to find out if my protein has binding sites available for intermolecular interaction with other proteins. 
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Hello
CASTp, Autodock vina, Swissmodel, Qsite, Chimera, RasMol or JMOL, MOE, BIOVIA Discovery Studio.
Check in these links. It might help you.
Good Luck.
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Look for ISI journal in cell biology, cancer
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Annals of Oncology
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Tumors in animal models, mostly mice, are usually very “young” and immature. We inject cancerous cells in matrigell and start administering nanoparticles within the next few days or a week. In the case of human, cancer grows sometimes for many years, so cancer vascular system is much more developed and matured. Can we then compare passive (EPR) targeting in mice and humans? Are there any indisputable published data which proves EPR (based on nano size only) effect in humans?
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The EPR effect is extremely heterogeneous in humans and it works in rodents but not in humans! We cannot expect to find a “one size fits all” answer. It seems to me fighting against cancer should be as a multidisciplinary approach, first having data from personalized medicine (P7), individually, for of each patient , then using nano targeting therapy techniques ( passive or active) accompanied by enhancing the own body immune system within the treatment i.e.a combination treatment might be more effective.
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Virtosomes isolation and DNA extraction.
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Hmmm that might be difficult. Are you trying to separate and purify virtosomes from cell cultures or tissue, or are you trying to actually separate the DNA from the complex? Virtosomes are notoriously fragile, so physically separating the DNA from the complex will be difficult. These problems of extraction are compounded by the highly heterogenous composition of virtosomes and fragmented nature of the DNA (especially when from cancer cells). I'm curious about this too and I've found a few papers that might interest you ...
contains an ultracentrifugation protocol for virtosome extraction from both tissue and cultured cells here...
Isolation of Lysosomes from Mammalian Tissues and Cultured Cells
10.1007/978-1-4939-3756-1_19
This paper did not specify the type of cfDNA being extracted from serum, but likely included virtosomes
Fong, S. L., Zhang, J. T., Lim, C. K., Eu, K. W., & Liu, Y. (2009). Comparison of 7 Methods for Extracting Cell-Free DNA from Serum Samples of Colorectal Cancer Patients. Clinical Chemistry, 55(3), 587–589. doi:10.1373/clinchem.2008.110122
This paper attempted to identify and characterize circulating nucleic acids (CNAs) differences in serum of pregnant/non-pregnant cows by tagging CNAs (Interestingly, some of the CNAs had were identified as retrotransposons)
Analysis of Circulating DNA Distribution in Pregnant and Nonpregnant Dairy Cowshttps://doi.org/10.1095/biolreprod.112.103168
These papers were involved in the sequencing of random cfDNA molecules from plasma and serum and have methods sections that may by useful to you, but they do not distinguish what type of cfDNA was isolated
Fan, H. C., Blumenfeld, Y. J., Chitkara, U., Hudgins, L., & Quake, S. R. (2008). Noninvasive diagnosis of fetal aneuploidy by shotgun sequencing DNA from maternal blood. Proceedings of the National Academy of Sciences, 105(42), 16266–16271.
Beck J, Urnovitz HB, Riggert J, Clerici M, Schutz E. Profile of the circulating DNA in apparently healthy individuals. Clin Chem2009;55:730-738.
Hope that helps
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I need some good cancer biology book recommendations, preferably both dealing with fundamentals and the books that would help me for my masters research course in cancer biology.... I would like a book that deals with both basics and other advanced topics in cancer.. Thanks in Advance...
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@ Vishnu Balamurugan sent me your e-mail
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In this article fig. 1. The Author has made a decision tree with 24 nodes. Each node is specified for a specific cancer tissue of origin and the couple of MicroRNA which can identify these cancer tissues of origin. My question is, if I isolate miRNAs at the node14(hsa-miR-21, let-7e), node21(hsa-miR-205, 152), node24 (hsa-miR182, 34a, 148), node10(hsa-miR-194, 382, 210), will it be enough to identify cancerous tissue originated from the lung.
Why am I asking this question, because, I want to identify cancerous tissue, which has migrated to different region but originated in the lung. So if I take miRNAs from those specified nodes, will it be enough to identify lung cancer tissue, which has migrated to different region but originated in the lung.
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microRNAs have to provide potential signature model for various cancers and other diseases. While miRNA in terms of sequencing is difficult , though being done provides huge number of miRNA in a specific cancer as you have exemplified some in your discussion. Few important learning points:
1- Specific sets of miRNAs usually express or otherwise together and they are termed miRNA families.
2-Some miRNA have the potential to act as pan cancer biomarkers but still no specificity is provided.
3-Some biomarkers are like positive or negative acute phase reactant and may rise or fall with non-cancerous disease.
4-There is some but as i experienced little correlation between blood and tissue based miRNAs
5- The science of miRNAs is still emerging and a lot more has to be learnt i guess before they are available, if available for clinical use.
6-Also need to have complete data about pre, pri and miRNA and he cleaving proteins like DROSHA, DICER and factors incorporated in RISC complex.
The whole picture is yet to appear and but hope is there that someday they may be appearing as both for diagnostic use and therapeutic targets like Riversin (spelling ?) for treating hepatitis C.
So potential is there but more research is needed to quantify and deal associated aspects of miRNA
Sorry, that I could not help you straight as i interpret the knowledge about this subject is still evolving.
Kind regards
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I am looking for somebody, who is interesting in tumor markes cancer of head and neck.
Can you contact me?
Hi
David
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I would be interested in using electric fields to identify if it was cancerous.
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Qiagen launched their NGS platform GeneReader in Nov 2015, i am curious if anyone can allready comment on it.
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Hi, we are using Gene Reader for FFPE samples sequencing with very good results.
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I've been trying to isolate extracellular vesicles on an optiprep gradient in 5-ml tubes. I've tried 2 and 12 h centrifugation and in both cases, the fractions seemed to be mixed after centrifugation and the vesicles mostly remained on top of the gradient. I never have this problem when I use 38-ml tubes (SW32 Ti rotor) for 2 h but for a particular experiment I need to run this in small volume. What factors should I change in my protocol when using smaller centrifuge tubes? 
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I have been the same problem. One thing that is important an can help to solve the problem is calculating the time of centrifugation based on K-Factor of rotors.
For exemple: supposing that factor K of some rotor is 44.4 and the time of centrifugation is 2 hours, if you use another one that K factor is 88.4, you have to centrifuge for 4 hours at same conditions of rpm or xg. This have helped me for while.
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The War on Cancer refers to the effort to find a cure for cancer by increased research to improve the understanding of cancer biology and the development of more effective cancer treatments, such as targeted drug therapies.. The signing of the National Cancer Act of 1971 by United States president Richard Nixon is generally viewed as the beginning of this effort, though it was not described as a "war" in the legislation itself.
War stated as “a state of usually open and declared armed hostile conflict between states or nations” in Merriam-Webster dictionary. War indicated attack of foreign army.
On the other hand meaning of rebel is opposing or taking arms against a government or ruler. Something has to cause rebellion. There are complaints. These complaints have usually been ignored over so long a period of time that people have become impatient with the slow pace of change; they begin to feel that conditions are unbearable. These complaints are most important causes of rebellion.
I think that cancer cells are rebels (cells live in bad conditions) and they try to live .
We must change our philosophy. We must accept cancer cells as rebels not enemy and we must try to correct bad environment to calm rebels.
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War against cancers will continue just as long as the war against human poverty will never end. I think war against cancers is part of nature motivation for humans to increase their knowledge about themselves as a vast collection of tiny biosystems.
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Please suggest me best software program for designing allele specific primers.
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I am using gastric cancer cell line for my research, i used Lipofectamine 2000 for transfection, could any one recommend me the good concentration of G418 and Puromycin?
regards
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Hi Farhan, I agree with Rachel that the appropriate concentrations depend on the cell lines you are working on. And a kill curve is usually recommended to determine the best working conc. However, if you would not like the trivials, I may advise that you search the published papers for your cell lines to get an idea, for example, to just Google it..
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Dear Researchers,
I am working with a PDCL cancer cells and I want to transfect GFP in the cells. I am using lipofectamine 2000 and I incubated it with the cells for 6 hour and seems to be good but after 6 hours they start to show some death due to Lipofectamine toxicity.
So I only incubated cells with the Lipofactamine and the vectors for 6 hours and then changed the medium to the normal medium that I am using for the cells.
I used in this experiment 10.000 cells and they showed some positive cells after 72 hour however they all died when I tranfered them to a larger T25 Flask,
Any suggestions ?
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Hi Sandra,
Thank you very much for your valuable input and looking forward to using Viromer in our cell line setups
Best Regards,
Mohammed.
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I am using MDA-MB-231 and MCF7 for doing experiment. We have CO2 independent medium. Could you tell me how should I add other components (FBS, Glutamin/max, Penicillin, Insulin..). If I need 1ml medium, how should I dilute these components?
For FBS, Glutamin.. should I store in refrigerator (2-8 degree) for long time or I have to freeze them?
I look forward to hearing from you.
Thank you so much for your help.
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You must add the additive based on the final amount of the material in the culture medium. For example, the 1. The serum concentration at the final concentration should be 10%, it is easy to calculate the serum required by a simple mathematical procedure (10 cc for 90 cc and 50 cc for 450 cc, volume Your initial culture is 500 cc, so you need to add 5 cc to 50 cc, so you need to add 55 cc of the serum to your crop for the 500 cc medium. Note that in solutions of grams / volume, the amount of material is dissolved in 100 cc of solvent, for example 10% glucose, 10 g glugose per 100 cc solvent, but in volume / volume solutions such as 30% alcohol 30 cc of alcohol is dissolved in 70 cc distilled water. You should filter the additive material in the addition of materials to the cell culture medium; besides antibiotics .
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Could someone tell me any specific cation which have a role to kill the tumor cells, without magnetic or photo-thermal use?
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Also in researchgate you can find my article fundamentals of the double edged approach...
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For example, breast cancer cells in mice models. Can transfected cells be used (assuming the transfection efficiency is high)?
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When we use transfected cell lines for xenografts (such as for GFP-tagging) we make sure that they are stably-transfected (https://altogen.com/services/generation-stably-expressing-cell-lines-28-days/). Transient transfection is not sufficient for xenografting as the study runs sometimes for more than a month, at which point the initial changes in gene expression are no longer present.
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I can not use the estrodial pellet, because of the price, so I have a plan to maeke MCF-7 xenograft model w/o estrodial pellet.
If I inject directly or O/A 17beta-estrodial in DMSO to mice, will that stimulate MCF-7 growth in mice? Or is there some other method to make estrodial pellet?
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MCF-7 xenografts with estradiol supplements are very quick to grow (we do them commercially: http://altogenlabs.com/xenograft-models/breast-cancer-xenograft/mcf7-xenograft-model/) and studies can be completed in less than 3 weeks. Without such supplementation, you'll end up paying more for continuing the study to reach sufficient growth. Supplements in water are acceptable, but pellets have more stable release rates and are hence better for overall results.
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Genes transient transfected into cells will only be stable for several days. However, xenograft tumors formation need more time about 3 weeks. Whether or not we chould use transient transfected cells for xenograft tumors
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Transient transfection of a cell line usually doesn't last for more than a few days, which is not enough for a xenograft study. Our xenografts (http://altogenlabs.com/xenograft-models/) are done with established cell lines, but if you have a given genetic modification you need in a cell line, we can also make a stable cell line (https://altogen.com/services/generation-stably-expressing-cell-lines-28-days/) and use that in a xenograft. The result will be that you have a given genetic characteristic that will not disappear as the tumor grows.
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We have created MDA-MB-231 stable knockdowns vs controls for our gene of interest. To finish off the in vitro data and publish our work we wish to use a xenograft mouse model to look at metastasis and tumor growth differences etc in vivo.
Does anyone know a service provider that can do this work to complete our project?
Most services appear to use xenografts for drug testing using their own in house cell lines, where as we wish them to test our knockdown and control cell lines.
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We've done MDA-MB-231 xenografts commercially for some years now (http://altogenlabs.com/xenograft-models/breast-cancer-xenograft/mda-mb-231-xenograft-model/) and you can find some example growth curves on our website. We can accommodate most research needs, and we can test custom knockout cell lines as well, just contact us directly with your experimental details and we'll gladly assist.
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I want to inoculate MCF7 or T47D cell lines after female albino mice irradiation. I read that it requires E2 pellet and that cell lines should be injected with Matrigel. Could you send me your recommendations about these points and the time needed for tumor to appear for these cell lines (both subcutaneous and orthotopic)?
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We've published our general procedures for xenografts with MCF-7 (http://altogenlabs.com/xenograft-models/breast-cancer-xenograft/mcf7-xenograft-model/) and T-47D (http://altogenlabs.com/xenograft-models/breast-cancer-xenograft/t-47d-xenograft-model/). Estrogen pellets and matrigel are often necessary, and I haven't heard of researchers being able to record decent growth curves without them. Tumor growth is pretty stable, and rises quickly to the point where studies last only around a month.
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Can the 4T1 metastatic breast cancer model - which is a syngeneic xenograft model based on 4T1-12B - be used as a model to study the anticancer effects of plant based compounds without injecting into a balb/c mice?
Can one culture it directly in flasks, apply plant based extracts and study the effects of plants on the cells?
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I'm not sure which thread is the original one, but I'll re-emphasize my answer here; in vitro cell lines of murine origin will be better for compatibility purposes when translating in vitro cytotoxicity results into drug dosages for 4T1 xenografts (see our examples here: http://altogenlabs.com/xenograft-models/breast-cancer-xenograft/4t1-xenograft-model/). However, because 4T1 is of murine origin, the in vivo results may differ significantly from a study done on a human cell line like MCF-7.
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Can anybody suggest about cell number/animal as well as time consumption to grow tumors up to palpable limit?
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We use athymic nu/nu mice for our SKOV-3 xenografts (http://altogenlabs.com/xenograft-models/ovarian-cancer-xenograft/sk-ov-3-xenograft-model/). Using matrigel is a plus, and our initial dosage and general procedures are published on our website. Usually the tumors take a few days to grow to a sufficient size to begin drug dosages, and another few weeks (just over a month) for the study to complete (based on the tumor size).
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Recently we tried to transfect a plasmid into MDA-MB-231 and MCF-7 cell lines. After transfection we found that its transfection efficiency is different from other cell lines. MDA-MB-231 cell line is difficult to transfect with lipofectamin2000, after optimized transfection condition we only reached about 1% transfection efficiency. Has anyone performed transfection to this cell line with lipofectamin2000? Can anyone offer suggestions?
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MDA-MB-231 can be unresponsive to generic transfection reagents, and given that the cell line is significantly different than MCF-7, it isn't that surprising that you're getting different results. MDA-MB-231 belongs in the MDA-MB family, so directed transfection reagents (https://altogen.com/product/mda-mb-transfection-reagent-breast-adenocarcinoma/) should work for all of the cell line members. 1% efficiency is not acceptable, so you'll need to look at established protocols and follow them to get better results.