ArticleBMC genomics2008
Comparative analysis of transcriptional profiling of CD3+, CD4+ and CD8+ T cells identifies novel immune response players in T-cell activation.
Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.
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Who cites it
69 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.
- Genetic risk of clozapine-induced leukopenia and neutropenia: a genome-wide association study.Translational psychiatry · 2021Pooled it
- T Cell Transcriptomes from Paroxysmal Nocturnal Hemoglobinuria Patients Reveal Novel Signaling Pathways.Journal of immunology (Baltimore, Md. : 1950) · 2017Trial
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- The Whole Blood Transcriptomic Analysis in Sickle Cell Disease Reveals RUNX3 as a Potential Marker for Vaso-Occlusive Crises.International journal of molecular sciences · 2025Article
- CCR5 + T cells as a potential biomarker for primary Sjögren's disease based on bioinformatics analysis.Clinical rheumatology · 2025Article
- Harnessing traditional medicine: A dual-action antimicrobial combination against pathogens.iScience · 2025Article
- The XCL1/XCR1 axis is upregulated in type 1 diabetes and aggravates its pathogenesis.JCI insight · 2025Article
- Multi-omic analysis of PBMCs in sepsis reveals widespread cytotoxic dysfunction and an increased population ofFrontiers in immunology · 2025Article
- scSID: A lightweight algorithm for identifying rare cell types by capturing differential expression from single-cell sequencing data.Computational and structural biotechnology journal · 2024Article
- Peripheral Blood Mononuclear Cell Transcriptome of Dairy Cows Naturally Infected with Bovine Leukemia Virus.Pathogens (Basel, Switzerland) · 2024Article
- Tumor purity-related genes for predicting the prognosis and drug sensitivity of DLBCL patients.eLife · 2024Article
- Integrative temporal multi-omics reveals uncoupling of transcriptome and proteome during human T cell activation.NPJ systems biology and applications · 2024Article
- Prognostic and immunological role of adaptor related protein complex 3 subunit mu2 in colon cancer.Scientific reports · 2024Article
- Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer.Frontiers in immunology · 2024Article
- Revealing spatial multimodal heterogeneity in tissues with SpaTrio.Cell genomics · 2023Article
- Functional and transcriptional heterogeneity within the massively expanding HLADRJournal of virology · 2023Article
- Key pathways and genes that are altered during treatment with hyperbaric oxygen in patients with sepsis due to necrotizing soft tissue infection (HBOmic study).European journal of medical research · 2023Observational
- Comprehensive analysis reveals XCL2 as a cancer prognosis and immune infiltration-related biomarker.Aging · 2023Article
- Renal interferon-inducible protein 16 expression is associated with disease activity and prognosis in lupus nephritis.Arthritis research & therapy · 2023Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundT-cell activation is an essential step of the immune response and relies on the tightly controlled orchestration of hundreds of genes/proteins, yet the cellular and molecular events underlying this complex process are not fully understood, especially at the genome-scale. Significantly, a comparative genome-scale transcriptional analysis of two T-cell subsets (CD4+ and CD8+) against each other and against the naturally mixed population (CD3+ cells) remains unexplored.
resultsComparison of the microarray-based gene expression patterns between CD3+ T cells, and the CD4+ and CD8+ subsets revealed largely conserved, but not identical, transcriptional patterns. We employed a Gene-Ontology-driven transcriptional analysis coupled with protein abundance assays in order to identify novel T-cell activation genes and cell-type-specific genes associated with the immune response. We identified potential genes involved in the communication between the two subsets (including IL23A, NR4A2, CD83, PSMB2, -8, MIF, IFI16, TNFAIP1, POU2AF1, and OTUB1) and would-be effector-function-specific genes (XCL2, SLAMF7, TNFSF4, -5, -9, CSF3, CD48 and CD244). Chemokines induced during T-cell activation, but not previously identified in T cells, include CCL20, CXCL9, -10, -11 (in all three populations), and XCL2 (preferentially in CD8+ T cells). Increased expression of other unexpected cytokines (GPI, OSM and MIF) suggests their involvement in T-cell activation with their functions yet to be examined. Differential expression of many receptors, not previously reported in the context of T-cell activation, including CCR5, CCR7, IL1R2, IL1RAP, IL6R, TNFRSF25 and TNFRSF1A, suggests their role in this immune process. Several receptors involved in TCR activation (CD3D, CD3G, TRAT1, ITGAL, ITGB1, ITGB2, CD8A and B (CD8+ T-cell specific) along with LCK, ZAP70 and TYROBP were synchronously downregulated. Members of cell-surface receptors (HLA-Ds and KLRs), none previously identified in the context of T-cell activation, were also downregulated.
conclusionThis comparative genome-scale, transcriptional analysis of T-cell activation in the CD4+ and CD8+ subsets and the mixed CD3+ populations made possible the identification of many immune-response genes not previously identified in the context of T-cell activation. Significantly, it made possible to identify the temporal patterns of many previously known T-cell activation genes, and also identify genes implicated in effector functions of and communication between CD4+ and CD8+ T cells.
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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.