I am a postdoctoral fellow in Department of Genetics working in Dr. Michael Snyder’s lab. My research interest revolves around studying humoral immunity to understand disease pathology. I am currently working on Postacute sequelae of SARS-CoV-2 infection (PASC) patients who experienced various symptoms after COVID infection and vaccination. We looked into the antibody profile of this cohort and also the B cell receptor (BCR) repertoire for possible clonal expansion. We are specifically trying to understand if there is an autoimmune component leading to these symptoms observed in PASC cohort. We also plan to decipher the reason behind some individuals having symptoms after vaccination while others do not.
I am also interested in inflammatory bowel disease pathology and how gut microbiome plays a role in disease progression. I am focusing on Adherent Invasive Escherichia Coli as a pathobiont microbe target.

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  • The importance, challenges, and possible solutions for sharing proteomics data while safeguarding individuals' privacy. Molecular & cellular proteomics : MCP Shome, M., MacKenzie, T. M., Subbareddy, S. R., Snyder, M. P. 2024: 100731


    Proteomics data sharing has profound benefits at individual level as well as at community level. While data sharing has increased over the years, mostly due to journal and funding agency requirements, the reluctance of researchers with regards to data sharing is evident as many shares only the bare minimum dataset required to publish an article. In many cases, proper metadata is missing, essentially making the dataset useless. This behavior can be explained by lack of incentives, insufficient awareness, or a lack of clarity surrounding ethical issues. Through adequate training at research institutes, researchers can realize the benefits associated with data sharing and can accelerate the norm of data sharing for the field of proteomics, as has been the standard in genomics for decades. In this article, we have put together various repository options available for proteomics data. We have also added pros and cons of those repositories to facilitate researchers in selecting the repository most suitable for their data submission. It is also important to note that a few types of proteomics data have the potential to re-identify an individual in certain scenarios. In such cases, extra caution should be taken to remove any personal identifiers before sharing on public repositories. Datasets which will be useless without personal identifiers need to be shared in a controlled access repository so that only authorized researchers can access the data and personal identifiers are kept safe.

    View details for DOI 10.1016/j.mcpro.2024.100731

    View details for PubMedID 38331191