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

Weighted Gene Co-Expression Network Analysis Identifies Key Modules and Hub Genes Associated with Mycobacterial Infection of Human Macrophages

20 Jan 2021

Abstract excerpt

Tuberculosis (TB) is still a leading cause of death worldwide. Treatments remain unsatisfactory due to an incomplete understanding of the underlying host–pathogen interactions during infection. In the present study, weighted gene co-expression network analysis (WGCNA) was conducted to identify key macrophage modules and hub genes associated with mycobacterial infection. WGCNA was performed combining our own...

Read the complete abstract on PubMed

Topics

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

Share to Immune cells in cancer
Share to interferon and immune responses
Share to Tuberculosis Research and Epidemiology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33498280
DOI: 10.3390/antibiotics10020097

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

Weighted Gene Co-Expression Network Analysis Identifies Key Modules and Hub Genes Associated with Mycobacterial Infection of Human MacrophagesPMID 33498280Read ↗

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

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

Identification of hub genes and establishment of a diagnostic model in tuberculosis infectionSemantic proximity Read ↗

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

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

Construction and application of a co-expression network in Mycobacterium tuberculosisSemantic proximity Read ↗

Identification of important modules and biomarkers in tuberculosis based on WGCNASemantic proximity Read ↗

Exploring of the shared gene signatures and molecular mechanism in COVID-19 and tuberculosisSemantic proximity Read ↗

An Integrative Network Approach to Identify Common Genes for the Therapeutics in Tuberculosis and Its Overlapping Non-Communicable DiseasesSemantic proximity Read ↗

SYSTEMS AND NETWORK BIOLOGY ANALYSIS COMBINED WITH MACHINE LEARNING IDENTIFIES KEY IMMUNE RESPONSE PROFILES AND POTENTIAL CORRELATES OF PROTECTION FOR THE M72/AS01E TUBERCULOSIS VACCINESemantic proximity Read ↗

Identification of immune infiltration and cuproptosis-related molecular clusters in tuberculosisSemantic proximity Read ↗

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

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