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Shamsudheen Karuthedath Vellarikkal
PeerJ Reviewer
135 Points

Contributions by role

Reviewer 35
Editor 100

Contributions by subject area

Agricultural Science
Bioinformatics
Genomics
Molecular Biology
Plant Science

Shamsudheen Karuthedath Vellarikkal

PeerJ Reviewer

Summary

I am a molecular & population geneticist with hybrid expertise in wet-lab and computational biology. I have multiple skills, including Bioinformatics, Next-Generation Sequencing (NGS), and single-cell genomics. My research focus is the study of human genetic variation as it pertains to disease. For the last five years, I have had a specific interest in monogenic and polygenic cardiovascular diseases. My goal is to utilize molecular genomics tools to better understand human disease and thereby facilitate new therapeutics.

Agricultural Science Bioinformatics Genomics Molecular Biology

Work details

Postdoctoral Associate

The Broad Institute of MIT and Harvard
September 2017 - March 2022
Medical and Population Genetics
• First to perform single cell RNA (scRNA) sequencing and analysis in vascular tissue and identified unrecognized cellular heterogeneity (Circulation, 2019) • Developed and optimized high-throughput image-based assay to validate single cell RNA transcriptomic data (Circulation, 2019) • Performed and analyzed single cell RNA sequencing and analysis in various human disease tissues and mouse models, including that of severe COVID-19 (Nature, 2020) • Performed downstream single cell RNA analysis and interpretation with integration of multimodality of data, including human population genetics, such as GWAS data (Nature Genetics, 2021) • Developed single cell nuclei sample preparation method for human vascular transcriptomic and epigenomic (ATAC-seq) evaluation. • Performed spatial transcriptome: Slide-seq & visium • Developed next-generation sequencing based assays and analysis pipeline to study somatic variation in diseased human vascular tissue. • Performed Genome Wide association studies (GWAS), rare variant association studies and burden analysis (RVAS), polygenic risk score estimation of both quantitative and qualitative traits. • Developed analysis pipeline for high-content imaging (cell painting) and single cell RNA-sequencing CRISPR screen in endothelial cells (Perturb-seq) • Developed high efficiency method for genome editing in primary human vascular cells (Current Protocols, 2021

Websites

  • Google Scholar

PeerJ Contributions