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vijaybioinfo/README.md

Hello World πŸ‘¨πŸΎβ€πŸ”¬πŸ‘©πŸΎβ€πŸ”¬

Our lab employs genomics tools to understand, diagnose and treat pulmonary disease such as asthma, lung cancer and infectious diseases, including the novel coronavirus.

We have developed a number of techniques to study the molecular profiles of circulating and airway immune cells from patients with asthma and other diseases, using fewer cells than previously possible.

We carry a large-scale effort to map epigenomic modifications in more than a dozen different types of human immune cells from normal individuals to understand how epigenetic variations cause susceptibility to disease. For many human diseases, large-scale genomic studies have identified common genetic variants that occur more frequently in people with cardiovascular, autoimmune, inflammatory and infectious diseases, diabetes and asthma than in those without these diseases. However, it has been difficult to pinpoint which genetic changes are truly relevant to disease, or in what specific cell types the genetic variation has the largest effect on one’s health. Mapping the epigenome will enable scientists to zoom in on those genes with the greatest likelihood to contribute to disease, and the cell types in which they act, and therefore will help identify novel therapeutic targets.

⚑ Fun facts:

πŸ“š Highlighted publications:

  • Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants Nature Genetics
  • Imbalance of regulatory and cytotoxic SARS-CoV-2-reactive CD4^[+] T cells in COVID-19 Cell
  • Single-cell transcriptomic analysis of allergen-specific T cells in allergy and asthma Science Immunology
  • Single-cell transcriptomic analysis of tissue-resident memory T cells in human lung cancer JEM
  • Single-cell eQTL analysis of activated T cell subsets reveals activation and cell type-dependent effects of disease-risk variants Science Immunology
  • Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression Cell

πŸ“« Please feel free to reach us at our GitHub email. Or any of the lab members here. Contributors to this account are:

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  1. COVID19_2020 COVID19_2020 Public

    This repository contains scripts used for the analysis of our data and to generate figures in our work titled "Single-cell transcriptomic analysis of SARS-CoV-2 reactive CD4+ T cells"

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  2. DICE_COVID-19_GWAS_study DICE_COVID-19_GWAS_study Public

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  3. UC_2024 UC_2024 Public

    Final version of the code used to pre-process the raw data and create figures and tables for the manuscript titled "Stem-like T cells are associated with the pathogenesis of ulcerative colitis in h…

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  4. handy_functions handy_functions Public

    This repository contains the most used functions across projects and tasks in the Vijay Lab

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  5. PI3Kd_2022 PI3Kd_2022 Public

    This repository contains scripts to perform the data analysis of our PI3Kd paper.

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  6. hdm_2019 hdm_2019 Public

    This repository contains scripts used to generate figures in our work titled "Single-cell transcriptomic analysis of allergen-specific T cells in allergy and asthma"

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