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Visual genomics analysis studio as a tool to analyze multiomic data

Authors :
Hertzman, R.J.
Deshpande, P.
Leary, S.
Li, Y.
Ram, R.
Chopra, A.
Cooper, D.
Watson, M.
Palubinsky, A.M.
Mallal, S.
Gibson, A.
Phillips, E.J.
Hertzman, R.J.
Deshpande, P.
Leary, S.
Li, Y.
Ram, R.
Chopra, A.
Cooper, D.
Watson, M.
Palubinsky, A.M.
Mallal, S.
Gibson, A.
Phillips, E.J.
Source :
Hertzman, R.J. <
Publication Year :
2021

Abstract

Type B adverse drug reactions (ADRs) are iatrogenic immune-mediated syndromes with mechanistic etiologies that remain incompletely understood. Some of the most severe ADRs, including delayed drug hypersensitivity reactions, are T-cell mediated, restricted by specific human leukocyte antigen risk alleles and sometimes by public or oligoclonal T-cell receptors (TCRs), central to the immunopathogenesis of tissue-damaging response. However, the specific cellular signatures of effector, regulatory, and accessory immune populations that mediate disease, define reaction phenotype, and determine severity have not been defined. Recent development of single-cell platforms bringing together advances in genomics and immunology provides the tools to simultaneously examine the full transcriptome, TCRs, and surface protein markers of highly heterogeneous immune cell populations at the site of the pathological response at a single-cell level. However, the requirement for advanced bioinformatics expertise and computational hardware and software has often limited the ability of investigators with the understanding of diseases and biological models to exploit these new approaches. Here we describe the features and use of a state-of-the-art, fully integrated application for analysis and visualization of multiomic single-cell data called Visual Genomics Analysis Studio (VGAS). This unique user-friendly, Windows-based graphical user interface is specifically designed to enable investigators to interrogate their own data. While VGAS also includes tools for sequence alignment and identification of associations with host or organism genetic polymorphisms, in this review we focus on its application for analysis of single-cell TCR–RNA–Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE)-seq, enabling holistic cellular characterization by unbiased transcriptome and select surface proteome. Critically, VGAS does not require user-directed coding or access to high-performance com

Details

Database :
OAIster
Journal :
Hertzman, R.J. <
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1276818830
Document Type :
Electronic Resource