Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of hub genes and establishment of a diagnostic model in tuberculosis infection

13 Apr 2024

Abstract excerpt

Tuberculosis (TB) poses significant challenges due to its high transmissibility within populations and intrinsic resistance to treatment, rendering it a formidable respiratory disease with a substantial susceptibility burden. This study was designed to identify new potential therapeutic targets for TB and establish a diagnostic model. mRNA expression data for TB were from GEO database, followed by conducting...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to interferon and immune responses
Share to RNA modifications and cancer
Share to Tuberculosis Research and Epidemiology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38615114
DOI: 10.1186/s13568-024-01691-7

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of hub genes and establishment of a diagnostic model in tuberculosis infectionPMID 38615114Read ↗

Coexpression Network Analysis-Based Identification of Critical Genes Differentiating between Latent and Active TuberculosisSemantic proximity Read ↗

Distinguish active tuberculosis with an immune-related signature and molecule subtypes: a multi-cohort analysisSemantic proximity Read ↗

Identification of differentially expressed genes and hub genes of human hosts with tuberculosis through an integrated bioinformatics strategySemantic proximity Read ↗

Screening of extra-pulmonary tuberculosis signature genes and analysis of correlation with immune cellsSemantic proximity Read ↗

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

Identification of differentially expressed genes and hub genes of human hosts with tuberculosis through an integrated bioinformatics and cell confirmation strategySemantic proximity Read ↗

Gene network in pulmonary tuberculosis based on bioinformatic analysisSemantic proximity Read ↗

Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markersSemantic proximity Read ↗

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

DDX58 and CXCL10 have potential as key biomarkers for lymph node tuberculosisSemantic proximity Read ↗

Weighted Gene Co-Expression Network Analysis Identifies Key Modules and Hub Genes Associated with Mycobacterial Infection of Human MacrophagesSemantic proximity Read ↗

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

⌁Select a neighboring publication to make it the new centre.