Suprama Datta- PhD
- Scientist III at Tufts University
Suprama Datta
- PhD
- Scientist III at Tufts University
About
15
Publications
3,239
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156
Citations
Introduction
Current institution
Additional affiliations
March 2019 - present
Publications
Publications (15)
Identifying virus-host interactions on the cell surface can improve our understanding of viral entry and pathogenesis. SARS-CoV-2, the causative agent of the COVID-19 disease, uses ACE2 as a receptor to enter cells. Yet the full repertoire of cell surface proteins that contribute to viral entry is unknown. We developed a photocatalyst-based viral-h...
Argpyrimidine (APY) is a methylglyoxal-derived advanced glycation end-product (AGE) that has been associated with multiple diseases. As APY formation occurs without an enzyme, it remains exceptionally difficult to pinpoint where APY is likely to be found, both on individual proteins and in cells. In this study, we used a peptide model system and ma...
Knowledge of protein-metabolite interactions can enhance mechanistic understanding and chemical probing of biochemical processes, but the discovery of endogenous ligands remains challenging. Here, we combined rapid affinity purification with precision mass spectrometry and high-resolution molecular docking to precisely map the physical associations...
A cascade of three enzymes, E1−E2−E3, is responsible for transferring ubiquitin to target proteins, which controls many different aspects of cellular signaling. The role of the E2 has been largely overlooked, despite influencing substrate identity, chain multiplicity, and topology. Here we report a method—targeted charging of ubiquitin to E2 (tCUbE...
A cascade of three enzymes, E1−E2−E3, is responsible for transferring ubiquitin to target proteins, which controls many different aspects of cellular signaling. The role of the E2 has been largely overlooked, despite influencing substrate identity, chain multiplicity, and topology. Here we report a method—targeted charging of ubiquitin to E2 (tCUbE...
Identifying protein environments at the virus-host cell interface can improve our understanding of viral entry and pathogenesis. SARS-CoV-2, the virus behind the ongoing COVID-19 pandemic, uses the cell surface ACE2 protein as a major receptor, but the contribution of other cellular proteins in the entry process is unknown. To probe the microenviro...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the current coronavirus disease 2019 (COVID-19) pandemic that has led to a global economic disruption and collapse. With several ongoing efforts to develop vaccines and treatments for COVID-19, understanding the molecular interaction between the coronavirus, host cells,...
Aldehyde dehydrogenases play crucial roles in the detoxification of exogenous and endogenous aldehydes by catalyzing their oxidation to carboxylic acid counterparts. This study reports characterization of two such isoenzymes from the yeast Saccharomyces cerevisiae var. boulardii (NCYC 3264), one mitochondrial (Ald4p) and one cytosolic (Ald6p). Both...
Background:
Saccharomyces cerevisiae var. boulardii is the only yeast species with probiotic properties. It is considered to have therapeutic significance in gastro-intestinal disorders. In this paper, a comparative physiological study between this yeast and Saccharomyces cerevisiae (BY4742) was performed by evaluating two prominent traits of prob...
A coding sequence (CD36-03230) from the yeast Candida dubliniensis had been previously annotated as a vanillin dehydrogenase (VDH). The corresponding protein (CD36-03230p) was recombinantly expressed in Escherichia coli and analysed. The protein is most likely a tetramer in solution as judged by crosslinking and gel filtration experiments. CD36-032...
Background & objectives: Pseudomonas aeruginosa is an important nosocomial pathogen since it can survive in minimal medium. There is a global emergence of multidrug resistant strains of Pseudomonas. These strains are the main causes of nosocomial infections causing morbidity and mortality as these infections are difficult to eradicate. The objectiv...
Carbon Nano Tubes could be either metallic or semi-conducting in nature, depending on their diameter. Its photocatalytic behavior has given an impetus to use it as an anti-microbial agent. More than 95% Escherichia coli and Staphylococcus aureus bacteria got killed when exposed to Carbon Nano Tubes for 30 minutes in presence of sunlight. Carbon Nan...
Questions
Questions (3)
I have compared the metabolome of two strains along with some phenotypic and metabolic properties like antioxidant activities, etc. When reporting data I had performed t-tests and ANOVA wherever applicable within each experimental condition between each strain to elucidate the difference. But there is a suggestion of carrying out multivariate analysis to point out global difference between the two strains. Afraid that I don't really follow what I am expected to do here. Would appreciate any help please. Thank you
My enzyme kinetic assays yield a co-operative binding kinetics (allosteric sigmoidal) for the enzymes I am working on. As a result, I have the Khalf, apparent Vmax for each substrate. Now, I want to vary the co-factor and find out the true Km and Vmax. Could anyone suggest how to work out the concentration of the substrate that I need to keep constant while varying the cofactor concentration?
I would like to identify the genes/proteins responsible for production of a phenolic compound from this yeast. All possible random mutagenesis methods for phenotypic screening of mutants seem to work only if I know my genes of interest. Also the chances of genetic approaches to work look pretty grim because my yeast exists as a polyploid.
