ArticleBMC genomics2019
Transcriptionally induced enhancers in the macrophage immune response to Mycobacterium tuberculosis infection.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Transcriptional signatures of human peripheral blood mononuclear cells can identify the risk of tuberculosis progression from latent infection among individuals with silicosis.Emerging microbes & infections · 2021Trial
- Written in our genes, epigenetically edited by infection.Nature genetics · 2026Article
- The pathway of autophagy in the epigenetic landscape ofAutophagy · 2025Review
- AProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Cellular and Molecular Network Characteristics ofInternational journal of molecular sciences · 2024Article
- Host-Directed Targeting of LincRNA-MIR99AHG Suppresses Intracellular Growth ofNucleic acid therapeutics · 2022Article
- IL-4i1 Regulation of Immune Protection During Mycobacterium tuberculosis Infection.The Journal of infectious diseases · 2021Article
- HIVEP1 Is a Negative Regulator of NF-κB That Inhibits Systemic Inflammation in Sepsis.Frontiers in immunology · 2021Article
- Article
- Whole-Transcriptome RNA Sequencing Reveals Significant Differentially Expressed mRNAs, miRNAs, and lncRNAs and Related Regulating Biological Pathways in the Peripheral Blood of COVID-19 Patients.Mediators of inflammation · 2021Article
- MIREyA: a computational approach to detect miRNA-directed gene activation.F1000Research · 2021Article
- Review
- Complex Genetic Architecture Underlies Regulation of Influenza-A-Virus-Specific Antibody Responses in the Collaborative Cross.Cell reports · 2020Article
- Independent Transposon Exaptation Is a Widespread Mechanism of Redundant Enhancer Evolution in the Mammalian Genome.Genome biology and evolution · 2020Article
- Transcriptomic Analyses Reveal the Protective Immune Regulation of Conjugated Linoleic Acids in Sheep Ruminal Epithelial Cells.Frontiers in physiology · 2020Article
- A Comparative Analysis ofInternational journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTuberculosis is a life-threatening infectious disease caused by Mycobacterium tuberculosis (M.tb). M.tb subverts host immune responses to build a favourable niche and survive inside of host macrophages. Macrophages can control or eliminate the infection, if acquire appropriate functional phenotypes. Transcriptional regulation is a key process that governs the activation and maintenance of these phenotypes. Among the factors orchestrating transcriptional regulation during M.tb infection, transcriptional enhancers still remain unexplored.
resultsWe analysed transcribed enhancers in M.tb-infected mouse bone marrow-derived macrophages. We established a link between known M.tb-responsive transcription factors and transcriptional activation of enhancers and their target genes. Our data suggest that enhancers might drive macrophage response via transcriptional activation of key immune genes, such as Tnf, Tnfrsf1b, Irg1, Hilpda, Ccl3, and Ccl4. We report enhancers acquiring transcription de novo upon infection. Finally, we link highly transcriptionally induced enhancers to activation of genes with previously unappreciated roles in M.tb infection, such as Fbxl3, Tapt1, Edn1, and Hivep1.
conclusionsOur findings suggest the importance of macrophage host transcriptional enhancers during M.tb infection. Our study extends current knowledge of the regulation of macrophage responses to M.tb infection and provides a basis for future functional studies on enhancer-gene interactions in this process.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.