Questions related to Cancer
I am a biomedical engineer with experience in deep learning applications for classifying and predicting various diseases. Recently, I have been working on projects involving disease classification and prediction through deep learning, with a particular focus on CNNs and advanced image processing techniques. Currently, I am preparing for a master’s degree in data science to deepen my expertise in this field. I am open to collaborating on research articles and can assist as an editor or peer reviewer for relevant journals. Additionally, I am available to work as a volunteer researcher at universities, contributing my skills in biomedical engineering, bioprinting, and microbiology.
If you are interested in collaboration or if I can assist with your research, please feel free to contact me at biomedical.emr@gmail.com.
I encountered an unusual observation while constructing a nomogram using the rms package with the Cox proportional hazards model. Specifically, when Karnofsky Performance Status (KPS) is used as a alone predictor, the nomogram points for KPS decrease from high to low. However, when KPS is combined with other variables in a multivariable model, the points for KPS increase from low to high. Additionally, I've noticed that the total points vary from low to high for all variables, while the 1-year survival probability shifts from high to low.
Could anyone help clarify why this directional shift in points occurs? Are there known factors, such as interactions, scaling differences, or confounding effects, that might explain this pattern?
Using A375 to stimulate NK cells to release CD107a and IFN - γ in a 1:1 ratio, but the experimental results show that NK cells have a lower ability to release CD107a and IFN-γ under A375 stimulation. How should I change the ratio of NK cells co cultured with A375 cells to evaluate the expression of CD107a and IFN-γ in NK cells? Should more target cells be inserted? In what proportion?
As it is a crucial part of my project and me being an undergraduate student, I am interested in learning better and cost efficient method for analysing Anti-Cancer property of my desired phytochemical.
Cure of cancer?, respectfully to whom it may concern:
If I found a cure of cancer, I’m wondering what I should do with it? I’m just coming out of a 40 days fast of only drinking maple syrup and pure lemon juice plus a little cinnamon powder and nothing else since I had unimaginable pain in my colon end. I figured out that although we humans can last for weeks on this diet /fast, cancer has no food on that and just goes away and the pain is gone too. I received this prescription by tuning in into the HeilstrOm and I figured out that it also enhances the reception of the HeilstrOm greatly, which brings great happiness too, as I describe in my book
Book yogapsychologie
Best regards, hope this helps someone
Chris K. Frueh
Independent Researcher
I am using knockout MIAPaCa-2 and ASPC-1 pancreatic cancer cell lines and intend to develop an in vivo tumor model. However, my study involves CD8 T-cell expression analysis, so I cannot use nude mice.
Additionally, if I inject the knockout cell lines directly, will the resulting tumor maintain the knockout status of the cells, and what would the efficiency be in terms of tumor formation and maintaining the gene knockout in vivo?
Any recommendations for the best variant of mice to evaluate both tumor growth and immune response.
Hello everyone. I am addressing the cancer researchers here who have worked on oral cancer cells or cell culture using OSCC cell lines. Which cell viability assay do you recommend for drug assays on OSCC cells? What are the benefits and limitations of your chosen assays?
Hello everyone
i plan to do atovaquone oral dose in mice . I plan to use castor oil as diluent. Does anyone have experience in working with atovaquone or how to prepare one ?
I am now taking a course in the SEER database. I want to know how to get ideas to work on. If anyone with relative experience tell me.
I have no idea why my orthotopic mouse models have failed.
I have used gastric cancer cell lines, and I injected the cells into a mouse stomach.
Here is my procedure and a result photo as a failed example.
1. Detach gastric cancer cells with 0.25% trypsin, then wash the cells with PBS
2. Centrifuge for 3 min, 1200 rpm at room temperature
3. Suction the trypsin and PBS, then put 1 mL of PBS
4. Get 1 x 10^8 cells in 1 mL of PBS, which is an example, counted by a cell counter
5. Transfer 100 uL of cell suspension to get 5 x 10^6 cells for 2 mice
4. Centrifuge for 0.5 min
5. Remove the PBS and put 15 uL of Matrigel and 15 uL of PBS
6. Suspend the 30 uL of gastric cancer cells and put it into a 0.5 mL insulin syringe
7. Keep the cells in the ice
8. Anesthetize a syngeneic mouse (4-6 weeks old) with 2% Isoflurane
9. Open the abdominal cavity
10. Take out the stomach then inject the cells, and try to inject them into the serosa; however, I sometimes inject the cells into the muscle layer.
11. If bleeding occurs after cell injection, the injection has failed
12. Suture the peritoneal cavity
13. Remove the stomach after a month, and dissect the stomach
Mice have never died, and they do not have any cancer organs even if I injected gastric cancer cell lines in their stomach.
Metastasis has also never been discovered.
This experiment has been conducted with the naked eye without a microscope.
I have been frustrated. What is my problem? Would you do me a favor, please?
Hi guys,
I'm working on the tumor mouse model. In general, I prepared tumor cells and injected cells into the flank of mice subcutaneously.
After around 3 weeks, I found, in the same group, there's a variation in the tumor weight. For instance, some tumor were around 1.2g, some 0.6g.
Could you give me some suggections or tips about how do tumor inejction?
Which type of needle do you need for injection? or How to prepare tumor cells suspension? or whatever something you think is important to do that successfully
Many thanks :)
I have cultured PBMC and some RBC contaminant for 2 weeks in suspension and low attachment plate. From the very first day, I noticed that there are many cells that have already turned all black-ish or grey-ish color. I don't know why and I keep continuing my culture process because the sample is very limited and I don't want to waste any samples. This is very confusing as because I will do viability assay using trypan blue, but the cells were already black. So I can't see the blue-ish color that supposed to appear. For additional information, my medium is DMEM F12, EGF, FGF, CoCl2, ITS, Penstrep, and Amphotericin.
How can personalized lifestyle modifications, including diet, exercise, stress management, and sleep hygiene, be integrated into conventional medical treatments to optimize health outcomes and potentially reverse or manage chronic diseases or any other diseases in the past, present or in the future?
Hello everyone, I need help to understand how I can "co-cultivate" human platelets (derived from whole blood) with cancer cells. I have specific questions:
-How can I avoid platelets from clumping?
-How can I avoid platelets from stick to the bottom of the transwell plates I am using fot this co-culture system?
-Have someone worked already with apheresis platelets?
Thank you for your help!!
Giulia
I am interested in analyzing the correlation between the expression of a set of genes and transposable elements (TEs) in cancer. However, despite there are multiple online databases for gene expression in cancer, including TCGA, they do not include repetitive elements. Despite I've found some papers analyzing transposable elements and quantifying their expression in different cancer using TCGA data, supplemental tables only provide the fold change end p-values for differentially expressed TEs. Also, to identify and quantify TEs, the raw sequencing data, which have controlled access, would be necessary. Therefore, I was wondering if there is some database or published resource where I could find information regarding TE expression per sample in TCGA database. Does someone know something like that? Alternatively, if someone have analyzed this type of data and have some worksheet with pre-processed data that could be shared, I would be deeply grateful.
I am not entirely sure if there are standard practices for tumour immunohistochemical preparation seeing as tumours aren't usually the most organized structures, but I may be wrong.
Does anyone know an institute/research facility in Europe running research in the field of cancer therapy and willing to accept a student of Micro- and Nanotechnoligies in Biophysics for Erasmus+ holiday traineeship?
Relationship between exercise, the gut microbiome, and cancer is complex and multifaceted. Factors such as the type and intensity of exercise, individual differences in gut microbiota, and genetic factors all play a role. What your views? Do share specific researches for the same.
Dear scientists, clinicians, and researchers on the ResearchGate platform,
I am planning to assess the molecular mechanisms of developing drug resistance in cancer cells. However, I lack knowledge regarding the bystander effect. Can you kindly assist me with the following questions:
1. What is the fundamental understanding of the bystander effect in the development of drug resistance in cells?
2. Why is it important to measure gene mutations that cause drug resistance, whether through direct or bystander effects?
3. What is the most effective in vitro setting to demonstrate this bystander effect and resistance development?
4. How can we measure the direct and bystander effects of gene mutations causing chemotherapy resistance in cancer cell lines? What parameters should we assess?
5. Lastly, what are the clinical implications of measuring this bystander effect?
Thank you very much for your assistance.
A very Emergency case, The Mother of my best friend, the results of her MRI said that she had nodular peritoneal thickening that suggested peritoneal serosal carcinoma, and ovarian cancer, also she has ascites, what is the source of ascites in case of high CA-125? We are suggesting a surgery to remove the ovarian, peritoneal biopsy and taking different samples to histology laboratory for culture and characterization, Any Informations would be helpful and well Appreciated, Many Thanks
Ali
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
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!
Q1. What is the difference between the HeLa-derived new strain cell line and the HeLa cell cross-contamination cell line?
Most contaminating cell lines are discarded, but occasionally contaminating cells acquire new properties (e.g., by mutation or viral transfection, e.g., by the HeLa derivative Det98) and eventually constitute a new line and are therefore not discarded. Thus In the case of KB (CVCL_0372) cells, I would like to know which type of cell line it is.
Q2. HeLa cell derivative KB cells are described as 'oral carcinoma' or 'cervical carcinoma' in some research.
Currently, I am conducting an anti-cancer experiment using KB cells. I wonder if there is any problem in writing a thesis by treating KB cells as cervical cancer and accurately defining them as HeLa derivatives.
:
Related reference
1) Vaughan, L., Glänzel, W., Korch, C., & Capes-Davis, A. (2017). Widespread Use of Misidentified Cell Line KB (HeLa): Incorrect Attribution and Its Impact Revealed through Mining the Scientific LiteratureWidespread Use of Misidentified Cell Lines. Cancer research, 77(11), 2784-2788. https://doi.org/10.1158/0008-5472.CAN-16-2258
Currently, I am looking for a solution to develop chemotherapeutic drug resistance in a primary cancer cell line. But after a quick look at the literature, it is indicated that the management of acquirement of drug resistance takes plenty of time, more than eight months! Is there any convenient method to subculture chemoresistant cell lines in a short time? Or any other suggestions rather than eight months interval with an increasing dose of chemotherapeutic agent?
Best regards.
I want to isolate the macrophage cell membrane and then coated it on nanoparticles. There are many protocols for the isolation of cell membrane vesicles, but I want to separate the macrophage cell membrane and next prepare cell membrane cracks. In addition, protocols suggest different hypotonic lysis buffers for macrophage cell membrane isolation (20 mM Tris-HCl, 10 mM KCl, 2 mM MgCl2, and 1 EDTA-free mini protease inhibitor tablet or 1 mmol L −1 NaHCO3, 0.2 mmol L −1 EDTA and 1 mmol L −1 PMSF or Tris-magnesium buffer (TM buffer, pH 7.4, 0.01 M Tris and 0.001 M MgCl2), which I don’t know the best one. After cell lysis, the protocols are followed by sucrose gradient or differential centrifugation, or sonication. I am worried about confirming the cell membrane after isolation and the best protocol for membrane isolation and saving them besides coating the nanoparticles with macrophage cell membrane cracks.
Any help is appreciated!
Hi All, I am working with A549 cell line and trying to culture spheroids using low attachment 96 well plates. So far I have attempted some different seeding densities from 2000 to 10,000 cells and can either form very large spheroids (700-900um), which are more compact and have a spherical defined shape, or alternatively smaller spheroids (still fairly big though around 500um) are less compact and not completely spherical. However for my experiment where I wish to add drug compounds (2D IC50 approx 1uM) I am not observing significant size/morphology change on the larger spheroids despite at least a 10uM concentration for 1 week. I am thinking possibly I can try to treat smaller spheroids for a more obvious visual change. Does anyone know how i might successfully make small compact spheroids (less than 500um) which are reproducible with this cell line? Thanks in advance for any help someone may be able to provide.
Other than "The Cancer Proteome Atlas (TCPA)" (https://tcpaportal.org/tcpa/index.html), which other cancer-based databases/tools can be used to associate a list of genes to identify different types of cancer.
Please spread the word: Folding at Home (https://foldingathome.org/) is an extremely powerful supercomputer composed of thousands of home computers around the world. It tries to simulate protein folding to Fight diseases. We can increase its power even further by simply running its small program on our computers and donating the spare (already unused and wasted) capacity of our computers to their supercomputation.
After all, a great part of our work (which is surfing the web, writing texts and stuff, communicating, etc.) never needs more than a tiny percent of the huge capacity of our modern CPUs and GPUs. So it would be very helpful if we could donate the rest of their capacity [that is currently going to waste] to such "distributed supercomputer" projects and help find cures for diseases.
The program runs at a very low priority in the background and uses some of the capacity of our computers. By default, it is set to use the least amount of EXCESS (already wasted) computational power. It is very easy to use. But if someone is interested in tweaking it, it can be configured too via both simple and advanced modes. For example, the program can be set to run only when the computer is idle (as the default mode) or even while working. It can be configured to work intensively or very mildly (as the default mode). The CPU or GPU can each be disabled or set to work only when the operating system is idle, independent of the other.
Please spread the word; for example, start by sharing this very post with your contacts.
Also give them feedback and suggestions to improve their software. Or directly contribute to their project.
Folding at Home: https://foldingathome.org/
Folding at Home's Forum: https://foldingforum.org/index.php
Folding at Home's GitHub: https://github.com/FoldingAtHome
Additionally, see other distributed supercomputers used for fighting disease:
Rosetta at Home: https://boinc.bakerlab.org/
GPUGRID: https://www.gpugrid.net/
Anyone who has C26 tumor cells (cachexia-inducing, NOT the related Ct26) or knows where to buy/get them?
I want to induce cachexia in C57 mice with a tumor cell line that is not LLC but can´t find anywhere to buy the C26, everyone seem to have got it is as a gift from somewhere.
If someone has them, I would be very happy if you would share it with us and I will of course pay any shipping expences.
Thank you
I'm trying to write a java programme that will solve the system of ordinary differential equations using the Runge-Kutta fourth-order (RK4) technique. I need to solve a system of five equations. Those are not linear.
And determining all of the equilibrium solutions to this system of differential equations also requires.
Can someone help me? Thank you in advance.
I am curious about the average quality of PhD research proposals, especially those with cancer research as a focus. Any suggestions, guidance, tricks, or words of wisdom?
Thank you.
Hello, I am a new researcher working on an anticancer drug discovery.
I've been reading some papers that cytotoxicity assay is using IC50 as it results to measure the effectiveness of a compound in inhibiting biological/biochemical function.
but my senior colleague asked me to consider using LC50 for the results as well.
should I use the IC50 or the LC50? or both?
or you could give me some advice about the research I conduct at the moment.
Thank you
This question is spurred by the different effects of BRCA1/2 vs. PARP.
Thanks in advance for insights.
Evidence?
That possibility is raised in:
Monikaben Padariya, Mia-Lyn Jooste, Ted Hupp, Robin Fåhraeus, Borek Vojtesek, Fritz Vollrath, Umesh Kalathiya, Konstantinos Karakostis, The Elephant Evolved p53 Isoforms that Escape MDM2-Mediated Repression and Cancer, Molecular Biology and Evolution, Volume 39, Issue 7, July 2022, msac149, https://doi.org/10.1093/molbev/msac149
That would, if it were true, help explain Peto’s Paradox in relation to elephants.
On the other hand: resolution of Peto’s paradox would require co-evolution of genes species by species that impede cancers. Is that likely? Isn’t it more likely that there is a universal mechanism? For example:
What are your views?
Dear Good people,
Which is better for publishing? To test the anti-cancer activity for a drug on a few proteins from two signaling pathways(one or two proteins by maximum for each pathway) or just multiply proteins from the same pathway(two or three proteins by maximum for each pathway)!...
I wish for sure to be able financially to target more in the future. Thanks in advance
Globally, there is a rising incidence of cancer, largely attributed to increased life expectancy. A Lancet paper emphasizes that disruptions in cancer screening, diagnosis, and treatment during the COVID-19 pandemic may lead to excess cancer deaths, potentially reversing the declining mortality trend for certain cancers.
Harvard Medical School researchers note that COVID-19 poses unique challenges for cancer patients, particularly due to weakened immune systems resulting from cancer or its treatments. This susceptibility increases the severity of COVID-19. Are cancer rates on the rise globally after COVID-19?
Dear all,
I am working on EMT-invasion of cancer cells. I have observed changes in the expression level of ECM-associated genes. Upon submission of a manuscript, one reviewer suggested: " to investigate possible changes to the organization of cell-culture ECM and its ability to support cell migration or invasion".
Can anyone help me to understand this comment? How exactly (specific experiments) can we proceed? What is it that the reviewers want?
Thanks in advance,
Swarnali
Hi Everyone, I have query regarding the DFI event value (i.e., 1 or o). I know DFI event indicates recurrence event. But, I am getting confused whether DFI event 1 indicates recurrence or 0 indicates recurrence in the sample. my confusion arises because of DFS definition and in general survival event value meaning (where, 1 indicates dead while 0 indicate alive). It would be great help if someone can share some publication where it clearly indicated.
Thank You
Brain Tumor Imaging Protocol will reduce variability and increase accuracy in determining progression and response of investigational therapies.
In the pictures below, with the FFT and DFT methods and the PCA phase recovery, which is common in optical microscopes, I obtained the magnetic resonance imaging (MRI) phase of the human brain tumor and the phase obtained.
Can the process be performed on MRI without prescribing Jumpstarting Drugs (JBTDDC)?
Dear Good People
Is it possible to study the effect of a compound on the activity of a certain signaling pathway but you only have antibodies for the total protein/nonphosphorylated form involved in that pathway! or it would be a waste of time and money?
"P.S."... No abs for the phosphorylated forms are available📷
Thanks in advance!
The Boyden chamber protocol requires a high budget for us. We want to try modifying this test instead. Can we combine it with a protocol like the filter diffusion protocol?
Hello,
I am conducting an experiment on testing the cytotoxicity of a drug on brain tumor cells. I am using Thermo Fishers alamarBlue reagent and measuring absorbance at 570nm/600nm to measure cytotoxicity. I have two questions:
-I have attached a photo of the equation that Thermo told me to use when calculating the % reduction. What does this equation mean?
-One of my supervisors is doing the same experiment but with different cells, she calculates percentage by merely averaging the blank values (Media + alamarBlue reagent) at 600nm and subtracting that from 570nm readings.
when it comes to calculating the IC50 value, which method is more accurate? because bot methods give totally different values.
I have attached the protocol from Thermo and the photo of the equation given by Thermo
Any help will be very much appreciated!
Hi
Is there anyone who has experience of culturing resected cancer tissue?
Because in my experiments even by adding adhesive molecules such as collagen, gelatin, fibronectin I always get cell aggregates and not adhesion as in the plate. Could the stiffness of the gel have something to do with it? Or is it difficult to see stretched cells on the gel?
Please take a look at the attached file.
I irradiated cells using a fractionation regime of 3 x 1 Gy after exposure to a substance in different concentrations.
I made an XY table with the determined SFs and plotted a graph using the LQ-model.
The equation I used was Y=exp(-3*(A*3*X + B*3*X^2)). Its an edition of the provided equation Y=exp(-1*(A*X + B*X^2)) in regard to the fractionation regime.
To determine the AUC I used the standard analyzing tool that Graphpad provided.
Could someone tell me, if this is right or if I mistaken somewhere?
Tank you very much in advance!
I have been finding the proof that this epitope called NLVPMVATV does not induce cytokine storm for days, but in vain. Could anyone please help me? I really need a reference paper to support this or else my project will be in a great trouble.
I saw many papers are introducing or immunizing mice with ovalbumin (OVA), will this induce a cytokine storm? Is there any paper suggesting that OVA doesn't induce cytokine storm? I've been searching this for days, please help.
As I know, smoking can cause lung cancer and body cells turn into cancer cells due to mutations. However, what is the name of the carcinogenic substance in cigarettes and how can it make body cells mutate?
Hey everyone,
I am looking for a way to show truncating mutations in BRCA1/2 via IHC. The idea is to use two slides per sample for each of BRCA1/2, respectively. In theory, samples that have a truncating mutation should show expression on the N-, but not C-terminal IHC slide.
I also found the following publication (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2799150/) by Watson et al. (2009), where they developed a IHC antibody that specifically targets the BRCA2-C terminal region, and showed that this method worked for them.
Unfortunately, the paper is a couple years old - and I cannot find this antibody anywhere - or any other BRCA2-C antibody. There are some that use aa 2400 as the immunogen, but I am looking for something more in the region of aa 3000 to really include all truncations.
Has anyone implemented a similar assay to allow for quick and easy IHC of FFPE samples to check for truncating BRCA1/2 mutations?
Thank you for your help!
Sincerely,
Marcel
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Dear fellow researchers,
I wanted to know if I should use basal media for preparing working concentrations of paclitaxel, cisplatin and 5 fu. Are these drugs sensitive to FBS in media? How much percent FBS is allowed to be added along with drugs in basal media. Thanks in advance!
I want to know:
- if microbes play any role in increasing cancer stemness and metastasis.
- do they increase cross-talk in the tumor microenviroment
- any other way microbes increases lethality of cancer
More women in the U.S. are choosing to have their breasts removed for early cancers instead of breast-conserving procedures that deliver equal results, according to a new study.
Hello Researchers,
What is the most appropriate way to analyze the IC50 and Percent Inhibition of the MTT test by the GraphPad Prism in 2022?
With kind regards,
José.
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.
What are the limitations and disadvantages of Real-Time PCR (RT-PCR)?
What is a more specific and sensitive technique that can be used in the laboratory instead, particularly in cancer diagnosis?
Hello, I am trying to apply vcftools --diff in order to extract the different variants between two VCF files.
vcftools --vcf marked_I_tumor-pe.vcf --diff marked_I_normal-pe.vcf --diff-site --out t_v_n
I am getting this as result :
VCFtools - 0.1.16
(C) Adam Auton and Anthony Marcketta 2009
Parameters as interpreted:
--vcf marked_I_tumor-pe.vcf
--out out.diff.sites
--diff marked_I_normal-pe.vcf
--diff-site
Comparing sites in VCF files...
Found 75584 sites common to both files.
Found 419593 sites only in main file.
Found 84102 sites only in second file.
Found 2908 non-matching overlapping sites.
After filtering, kept 498085 out of a possible 498085 Sites
Run Time = 6.00 seconds
0
I want to extract these 419593 sites which only belong to the main file (the first file) do you know if there is a way to do that? Can these sites that I want to extract be in a new vcf file? If you could help me, I would be more than thankful!
Thanks
I have two vcf files corresponding to the results of healthy tissue and tumor tissue. I want to compare these vcf files and remove their similarities. More specific I want to remove the information of the healthy tissue from the tumor one. Have you any suggestions on which tool I should use or any way that I can do my analysis?
Thanks in advance.
Hello everyone,
I am fairly new to cell culturing. For my experiments, I plate cells in 35 mm dishes. A crucial step in data analysis is cell-segmentation using the Stardist plug-in on ImageJ. However, I am struggling to obtain proper segmentation because all my cells tend to grow in clusters, making the segmentation processes highly unprecise.
To overcome this, when plating cells, I'd like to obtain single cells (similar to the image I attached.)
Does anybody have any suggestion on how this can be done?
I usually work with OVCAR cells.
Thank you in advance,
Giammarco
Some drugs/ carcinogen cause mutation in DNA, Which carcinogen causes highest mutation in genome?
I am planning a study where I want to select a few potential miRNAs that are responsible for inhibiting protein translation from a particular gene.
I am new in this area so it would be helpful for me if I get some guidance on how to select the miRNAs for a specific gene and if there is a way to determine miRNA and mRNA interactions with any bioinformatics tool before moving forward.
I have selected a few miRNAs for my gene from TargetScan, Mirdb, and Mirtarbase but I want some other opinions.
I am updating my earlier review on the role of Fluoride doped Hydroxyapatite in Cancer and my current focus is on Psammoma Bodies which have been found, and identifed as high risk, in a very wide range of Cancers. These include Cancers of the Bone, Spine, Brain, Choroid Plexus, Dura Mater, Gliofibroma, Medulloblastoma, Meningioma, Cervix and Endometrium, Ovary, Kidney, Lung, Mesothelioma, Pancreas, Skin, Hemangioendothelioma, Olfactory Neuroblastoma, Duodenal Somatostatinoma, Stomach and Thyroid. Early studies did not have the benefit of advanced analytical techniques, or did not even consider the Fluoride content or composition of the mineralization. Can anyone help by supplying analytical data based on Raman spectroscopy, neutron activation, x-ray or wet analysis?
We want to know if one protein can be used as a breast cancer biomarker or not. So we'll have to compare normal and patients, and our question is whether we can get samples from patients who received chemotherapy before?
I am working with differentially expressed miRNAs where I only have the name of the mir itself without further details, for example mir-204.
Now for target prediction analysis using databases, there is mir-204-3p and mir-204-5p based on the 3p/5p strand position (forward or reverse). Regarding the functionality of both strands, it seems that both could be biologically functional, yet I read somewhere (https://www.biostars.org/p/150526/) that the 5p is the original arrangement and therefore it is more likely to be the active option. Is it reasonable to conclude that I should always take the 5p strand, or should I maybe take both into consideration?
Would appreciate your insight on this matter!
perhaps the most useful aspect of epigenetic processes is that they are readily reversible. Unlike genetic effects that also play a role in cancer and aging, epigenetic aberrations can be relatively easily corrected. One of the most widespread approaches to epigenetic alterations in cancer and ageing is dietary control. now, I would like to know more about the types and mechanisms of that nutrition that have a positive impact on epigenetic alteration during cancer???
Dear Community,
we transplant (stem) cells to the mouse brain and would like to exclude that these transplants may cause a tumor. What are straightforward methods to assess/exclude tumor formation in the mouse brain?
The tissue is 4% PFA fixed and cut in 40um coronal sections.
Thank you for your help!
MMR - Immunostaining shows loss of MLH1 and PMS2 in the invasive carcinoma. There is positive nuclear staining with MSH2 and MSH6.
CDX2 is negative.
crRNA is responsible for recognizing and binding the sequences next to protospacer-adjacent motif (PAM), NGG, on the target DNA, whereas tracrRNA is essential to maintain cas9 nuclease activity. and most of the miRNA does not contain the PAM sequence (5’-NGG-3) 4. so how can you target them by using CRISPR Cas system?