Article

Major Contribution of Myeloid Cells In TB specific Host Gene Signature: Revelations from Re-Analysis of Publicly Available Datasets

2022-09-28

Abstract excerpt

<h4>Introduction</h4> Interaction of human host and its pathogen M.tuberculosis drives tuberculosis disease, resulting in dysregulation of host gene expression. We re-analyzed host gene expression datasets of TB to identify and validate a cellular circuit by interlinking the DEGs with their target miRNAs, GWAS hits associated with immunological phenotypes mapping to the DEGs and associated cellular subtypes thro...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 00e12191-bfe9-54d0-9f4e-c0a831c667f2
DOI: 10.1101/2022.09.27.508979

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Major Contribution of Myeloid Cells In TB specific Host Gene Signature: Revelations from Re-Analysis of Publicly Available DatasetsDOI 10.1101/2022.09.27.508979Read

Computational reassessment of RNA-seq data reveals key genes in active tuberculosisSemantic proximity Read

Comprehensive identification of immuno-related transcriptional signature for active pulmonary tuberculosis by integrated analysis of array and single cell RNA-seqSemantic proximity Read

Single-cell transcriptome sequencing reveals altered peripheral blood immune cells in patients with severe tuberculosisSemantic proximity Read

Identification of host gene expression biomarkers for tuberculosisSemantic proximity Read

Identification and Classification of Differentially Expressed Genes and Network Meta-Analysis Reveals Potential Molecular Signatures Associated With TuberculosisSemantic proximity Read

Whole blood vs serum-derived exosomes for host and pathogen-specific tuberculosis biomarker identification: RNA-seq based machine learning approachSemantic proximity Read

Diagnosis of pulmonary tuberculosis via identification of core genes and pathways utilizing blood transcriptional signatures: a multicohort analysisSemantic proximity Read

Transcriptional Profiling and Deriving a Seven-Gene Signature That Discriminates Active and Latent Tuberculosis: An Integrative Bioinformatics ApproachSemantic proximity Read

Stage specific classification of DEGs via statistical profiling and network analysis reveals potential biomarker associated with various stages of TBSemantic proximity Read

Neutrophil degranulation, NETosis and platelet degranulation pathway genes are co-induced in whole blood up to six months before tuberculosis diagnosisSemantic proximity Read

Human gene expression profiling identifies key therapeutic targets in tuberculosis infection: A systematic network meta-analysis.Semantic proximity Read

Immunopathogenic Overlap and Shared Therapeutic Targets for Covid-19 and Tuberculosis Predicted from Transcriptomic Meta-AnalysisSemantic proximity Read