ArticleJournal of immunology (Baltimore, Md. : 1950)2018
Transcriptomic Analysis of CD4
Article in Journal of immunology (Baltimore, Md. : 1950), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
41 citing papers in PubMed, 48 citations in OpenAlex.
- IFNγ blockade in Mycobacterium tuberculosis infected macaques alters the granuloma environment but not bacterial control.Nature communications · 2026Article
- Immunodominant Tuberculosis Antigens Recognized by Human CD4Cold Spring Harbor perspectives in medicine · 2026Article
- Mycobacterium tuberculosis-specific blood immune signatures distinguish sarcoidosis from tuberculosis disease.Journal of immunology (Baltimore, Md. : 1950) · 2026Article
- Minimal immune cell subset differences in a cohort of close contacts of tuberculosis index cases.Tuberculosis (Edinburgh, Scotland) · 2025Article
- The Complex Dysregulations of CD4 T Cell Subtypes in HIV Infection.International journal of molecular sciences · 2024Review
- High-parameter phenotypic characterization reveals a subset of human Th17 cells that preferentially produce IL17 againstbioRxiv : the preprint server for biology · 2024Article
- High-parameter phenotypic characterization reveals a subset of human Th17 cells that preferentially produce IL-17 againstFrontiers in immunology · 2024Article
- High and Low Levels ofInternational journal of molecular sciences · 2023Article
- CD30 co-stimulation drives differentiation of protective T cells during Mycobacterium tuberculosis infection.The Journal of experimental medicine · 2023Article
- Article
- Antigen-specificity measurements are the key to understanding T cell responses.Frontiers in immunology · 2023Review
- Transcriptional analysis of peripheral memory T cells reveals Parkinson's disease-specific gene signatures.NPJ Parkinson's disease · 2022Article
- The Biological and Clinical Aspects of a Latent Tuberculosis Infection.Tropical medicine and infectious disease · 2022Review
- Using Omics to Study Leprosy, Tuberculosis, and Other Mycobacterial Diseases.Frontiers in cellular and infection microbiology · 2022Review
- Single-cell profiling reveals distinct subsets of CD14+ monocytes drive blood immune signatures of active tuberculosis.Frontiers in immunology · 2022Article
- T-cell deficiency and hyperinflammatory monocyte responses associate withFrontiers in immunology · 2022Article
- Gene expression profiling identifies candidate biomarkers for new latent tuberculosis infections. A cohort study.PloS one · 2022Article
- CD4+CCR6+ T cells dominate the BCG-induced transcriptional signature.EBioMedicine · 2021Article
- A metric for evaluating biological information in gene sets and its application to identify co-expressed gene clusters in PBMC.PLoS computational biology · 2021Article
- HLA-DR Marks Recently Divided Antigen-Specific Effector CD4 T Cells in Active Tuberculosis Patients.Journal of immunology (Baltimore, Md. : 1950) · 2021Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
Abstract
In the context of infectious diseases, cell population transcriptomics are useful to gain mechanistic insight into protective immune responses, which is not possible using traditional whole-blood approaches. In this study, we applied a cell population transcriptomics strategy to sorted memory CD4 T cells to define novel immune signatures of latent tuberculosis infection (LTBI) and gain insight into the phenotype of tuberculosis (TB)-specific CD4 T cells. We found a 74-gene signature that could discriminate between memory CD4 T cells from healthy latently
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Registered trials
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.