Observational studyNature immunology2021
Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease.
Observational study in Nature immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 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.
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Who cites it
77 citing papers in PubMed, 111 citations in OpenAlex.
- Fast, flexible analysis of differences in cellular composition with crumblr.Nature communications · 2026Article
- Efficient differential expression analysis of large-scale single-cell transcriptomics data using Dreamlet.Nature communications · 2026Article
- Continual integration of single-cell multimodal data with MIRACLE.Nature computational science · 2026Article
- Single-Cell Immune Profiling Suggests Non-Classical Monocyte Is Associated Immunodepression in Tuberculosis Treatment Non-Responders.Journal of cellular and molecular medicine · 2026Article
- Article
- The Kynurenine Pathway in Tuberculosis: Focus on Immunometabolic Regulation, Compartment-Specific Biology, and Therapeutic Potential.Life (Basel, Switzerland) · 2026Review
- The Role of the T Cell Receptor Sequence in Shaping T Cell Functional Fate.Immunological reviews · 2026Review
- A pre-trained large generative model for translating single-cell transcriptomes to proteomes.Nature biomedical engineering · 2026Article
- Accurate, sensitive, and efficient chromatin accessibility quantification at target loci using UNIChro-seq.Nature communications · 2026Article
- The host immune response to Mycobacterium tuberculosis determining protection or disease progression.Nature immunology · 2026Review
- Identifying Single-Cell Expression Quantitative Trait Loci Using a Bootstrap Penalized Hurdle Model.Genes · 2026Article
- Trajectory-guided dimensionality reduction for multi-sample single-cell RNA-seq data reveals biologically relevant sample-level heterogeneity.Bioinformatics (Oxford, England) · 2026Article
- IFNγ blockade in Mycobacterium tuberculosis infected macaques alters the granuloma environment but not bacterial control.Nature communications · 2026Article
- Single-Cell Immune Atlases to Map Small Extracellular Vesicle Cargo in Tuberculosis-Diabetes Comorbidity: A Narrative Review and Conceptual Roadmap.International journal of molecular sciences · 2026Review
- A population-scale atlas of blood and tissue in lupus nephritis.bioRxiv : the preprint server for biology · 2026Article
- Context-specific roles for IL-17 in tuberculosis.PLoS pathogens · 2026Review
- Rare variable M. tuberculosis antigens induce predominant Th17 responses in human infection.JCI insight · 2026Article
- FLASH-MM: fast and scalable single-cell differential expression analysis using linear mixed-effects models.Nature communications · 2026Article
- CD8+ lymphocytes in immunity against tuberculosis.Journal of immunology (Baltimore, Md. : 1950) · 2026Review
- Immunometabolic reprogramming ofFrontiers in tuberculosis · 2026Article
17 more citing papers are in PubMed but not listed here.
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Authors and funding
19 authors at 7 institutions in 5 countries.
Funding
Abstract
Multimodal T cell profiling can enable more precise characterization of elusive cell states underlying disease. Here, we integrated single-cell RNA and surface protein data from 500,089 memory T cells to define 31 cell states from 259 individuals in a Peruvian tuberculosis (TB) progression cohort. At immune steady state >4 years after infection and disease resolution, we found that, after accounting for significant effects of age, sex, season and genetic ancestry on T cell composition, a polyfunctional type 17 helper T (T
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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.