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Lymphocyte Activation

Immunology · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed9 referencesApproximately 3 min read

Morphologic alteration of small B lymphocytes or T lymphocytes in culture into large blast-like cells able to synthesize DNA and RNA and to divide mitotically.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 3 complete abstracts (518 words), 9 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Morphologic alteration of small B lymphocytes or T lymphocytes in culture into large blast-like cells able to synthesize DNA and RNA and to divide mitotically. It is induced by interleukins; mitogens such as phytohemagglutinins, and by specific antigens. It may also occur in vivo as in graft rejection.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Activation, Lymphocyte; Blast Transformation; Blastogenesis; Transformation, Lymphocyte; Lymphocyte Transformation; Transformation, Lymphoblast; Lymphoblast Transformation; Transformation, Blast.

Where it fits in the MeSH classification

Broader topics
Immunologic Tests; Immunity, Cellular; Immune System Phenomena
Narrower topics
Cross-Priming
See also
Blast Crisis

Related concepts

  • Lymphocytes
  • Interleukins
  • Mitogens
  • Phytohemagglutinins
  • Antigens
  • Graft Rejection

Research landscape

PubMed indexes 118,630 records tagged with the MeSH heading “Lymphocyte Activation” (counts retrieved 2026-10-29). 7,999 of them (6.7%) were published from 2020 onward, and the busiest period so far is through 1999 with 63,803 records.

Reviews account for 10,437 records (8.8%) and meta-analyses for 25. Randomized controlled trials number 735 (0.6%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 63,803 records; 2000-2009: 25,348 records; 2010-2019: 21,480 records; 2020 onward: 7,999 records63,803through 199925,3482000-200921,4802010-20197,9992020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199963,803
2000-200925,348
2010-201921,480
2020 onward7,999
Share of records by publication typeReviews: 8.8 percent; Meta-analyses: 0.0 percent; Randomized controlled trials: 0.6 percentReviews8.8% (10,437)Meta-analyses0.0% (25)Randomized controlled trials0.6% (735)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 118,630 PubMed records
TypeRecordsShare
Reviews10,4378.8%
Meta-analyses250.0%
Randomized controlled trials7350.6%

Method: PubMed query "Lymphocyte Activation"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in immunology

Immune responses are studied in model organisms, in cells from donors and in patients, and the same pathway can behave differently across these settings. Mouse immune systems differ from human ones in important ways, and blood measurements may not reflect what happens in tissues. Clinical conclusions about immune-mediated disease or immunotherapy come mainly from controlled trials and long-term cohorts. Check the species and tissue studied, whether markers were linked to outcomes patients notice, and the follow-up time.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Cancer cells impair monocyte-mediated T cell stimulation to evade immunity
Elewaut A, Estivill G, Bayerl F, Castillon L, Novatchkova M, Pottendorfer E, et al.
2025Research article
Design not recorded in structured metadata
151cc by
PMID 39604727 · DOI · PMC7617236
Reproducible single-cell annotation of programs underlying T cell subsets, activation states and functions
Kotliar D, Curtis M, Agnew R, Weinand K, Nathan A, Baglaenko Y, et al.
2025Research article
Design not recorded in structured metadata
45cc by
PMID 40903640 · DOI · PMC12446064
Long COVID involves activation of proinflammatory and immune exhaustion pathways
Aid M, Boero-Teyssier V, McMahan K, Dang R, Doyle M, Belabbaci N, et al.
2026Research article
Design not recorded in structured metadata
40cc by
PMID 41388153 · DOI · PMC12764429

Cancer cells impair monocyte-mediated T cell stimulation to evade immunity [1]

Research article Elewaut A, Estivill G, Bayerl F, Castillon L, Novatchkova M, Pottendorfer E, et al. · · 2025 · cited 151 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The tumour microenvironment is programmed by cancer cells and substantially influences anti-tumour immune responses1,2.
Closing excerpt
Together, our work uncovers a central role of inflammatory monocytes in intratumoral T cell stimulation, elucidates how oncogenic signalling disrupts T cell responses through counter-regulation of PGE2 and IFN-I, and proposes rational combination therapies to enhance immunotherapies.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (203 words)

The tumour microenvironment is programmed by cancer cells and substantially influences anti-tumour immune responses1,2. Within the tumour microenvironment, CD8+ T cells undergo full effector differentiation and acquire cytotoxic anti-tumour functions in specialized niches3-7. Although interactions with type 1 conventional dendritic cells have been implicated in this process3-5,8-10, the underlying cellular players and molecular mechanisms remain incompletely understood. Here we show that inflammatory monocytes can adopt a pivotal role in intratumoral T cell stimulation. These cells express Cxcl9, Cxcl10 and Il15, but in contrast to type 1 conventional dendritic cells, which cross-present antigens, inflammatory monocytes obtain and present peptide-major histocompatibility complex class I complexes from tumour cells through 'cross-dressing'. Hyperactivation of MAPK signalling in cancer cells hampers this process by coordinately blunting the production of type I interferon (IFN-I) cytokines and inducing the secretion of prostaglandin E2 (PGE2), which impairs the inflammatory monocyte state and intratumoral T cell stimulation. Enhancing IFN-I cytokine production and blocking PGE2 secretion restores this process and re-sensitizes tumours to T cell-mediated immunity. Together, our work uncovers a central role of inflammatory monocytes in intratumoral T cell stimulation, elucidates how oncogenic signalling disrupts T cell responses through counter-regulation of PGE2 and IFN-I, and proposes rational combination therapies to enhance immunotherapies.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39604727 · DOI · PMC7617236

Reproducible single-cell annotation of programs underlying T cell subsets, activation states and functions [2]

Research article Kotliar D, Curtis M, Agnew R, Weinand K, Nathan A, Baglaenko Y, et al. · · 2025 · cited 45 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
T cells recognize antigens and induce specialized gene expression programs (GEPs), enabling functions like proliferation, cytotoxicity and cytokine production.
Closing excerpt
Our software package starCAT generalizes this framework, enabling reproducible annotation in other cell types and tissues.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (150 words)

T cells recognize antigens and induce specialized gene expression programs (GEPs), enabling functions like proliferation, cytotoxicity and cytokine production. Traditionally, different T cell classes are thought to exhibit mutually exclusive responses, including TH1, TH2 and TH17 programs. However, single-cell RNA sequencing has revealed a continuum of T cell states without clearly distinct subsets, necessitating new analytical frameworks. Here, we introduce T-CellAnnoTator (TCAT), a pipeline that improves T cell characterization by simultaneously quantifying predefined GEPs capturing activation states and cellular subsets. Analyzing 1,700,000 T cells from 700 individuals spanning 38 tissues and five disease contexts, we identify 46 reproducible GEPs reflecting core T cell functions including proliferation, cytotoxicity, exhaustion and effector states. We experimentally demonstrate new activation programs and apply TCAT to characterize activation GEPs that predict immune checkpoint inhibitor response across multiple tumor types. Our software package starCAT generalizes this framework, enabling reproducible annotation in other cell types and tissues.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40903640 · DOI · PMC12446064

Long COVID involves activation of proinflammatory and immune exhaustion pathways [3]

Research article Aid M, Boero-Teyssier V, McMahan K, Dang R, Doyle M, Belabbaci N, et al. · · 2026 · cited 40 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Long COVID (LC) involves a spectrum of chronic symptoms after acute severe acute respiratory syndrome coronavirus 2 infection.
Closing excerpt
These data suggest that LC is characterized by persistent activation of chronic inflammatory pathways, suggesting new therapeutic targets and potential biomarkers of disease.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (165 words)

Long COVID (LC) involves a spectrum of chronic symptoms after acute severe acute respiratory syndrome coronavirus 2 infection. Current hypotheses for the pathogenesis of LC include persistent virus, tissue damage, autoimmunity, endocrine insufficiency, immune dysfunction and complement activation. We performed immunological, virological, transcriptomic and proteomic analyses from a cohort of 142 individuals between 2020 and 2021, including uninfected controls (n = 35), acutely infected individuals (n = 54), convalescent controls (n = 24) and patients with LC (n = 28). The LC group was characterized by persistent immune activation and proinflammatory responses for more than 180 days after initial infection compared with convalescent controls, including upregulation of JAK-STAT, interleukin-6, complement, metabolism and T cell exhaustion pathways. Similar findings were observed in a second cohort enrolled between 2023 and 2024, including convalescent controls (n = 20) and patients with LC (n = 18). These data suggest that LC is characterized by persistent activation of chronic inflammatory pathways, suggesting new therapeutic targets and potential biomarkers of disease.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41388153 · DOI · PMC12764429

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article The diverse functions of the PD1 inhibitory pathway [4]
    Sharpe AH, Pauken KE · Nat Rev Immunol · 2018 · cited 1,643 times (Europe PMC)
  • Research article T follicular helper cell differentiation, function, and roles in disease [5]
    Crotty S · Immunity · 2014 · cited 1,570 times (Europe PMC)
  • Research article CD8+ cytotoxic T lymphocytes in cancer immunotherapy: A review [6]
    Farhood B, Najafi M, Mortezaee K · J Cell Physiol · 2019 · cited 1,392 times (Europe PMC)
  • Research article CXCL9, CXCL10, CXCL11/CXCR3 axis for immune activation - A target for novel cancer therapy [7]
    Tokunaga R, Zhang W, Naseem M, Puccini A, Berger MD, Soni S, et al. · Cancer Treat Rev · 2018 · cited 1,387 times (Europe PMC)
  • Research article CD69: from activation marker to metabolic gatekeeper [8]
    Cibrián D, Sánchez-Madrid F · Eur J Immunol · 2017 · cited 816 times (Europe PMC)
  • Research article Dendritic Cells and Cancer Immunity [9]
    Gardner A, Ruffell B · Trends Immunol · 2016 · cited 728 times (Europe PMC)

References

  1. Elewaut A, Estivill G, Bayerl F, Castillon L, Novatchkova M, Pottendorfer E, et al.. Cancer cells impair monocyte-mediated T cell stimulation to evade immunity. . 2025. PMID 39604727 · DOI · PMC7617236
  2. Kotliar D, Curtis M, Agnew R, Weinand K, Nathan A, Baglaenko Y, et al.. Reproducible single-cell annotation of programs underlying T cell subsets, activation states and functions. . 2025. PMID 40903640 · DOI · PMC12446064
  3. Aid M, Boero-Teyssier V, McMahan K, Dang R, Doyle M, Belabbaci N, et al.. Long COVID involves activation of proinflammatory and immune exhaustion pathways. . 2026. PMID 41388153 · DOI · PMC12764429
  4. Sharpe AH, Pauken KE. The diverse functions of the PD1 inhibitory pathway. Nat Rev Immunol. 2018. PMID 28990585 · DOI
  5. Crotty S. T follicular helper cell differentiation, function, and roles in disease. Immunity. 2014. PMID 25367570 · DOI · PMC4223692
  6. Farhood B, Najafi M, Mortezaee K. CD8+ cytotoxic T lymphocytes in cancer immunotherapy: A review. J Cell Physiol. 2019. PMID 30520029 · DOI
  7. Tokunaga R, Zhang W, Naseem M, Puccini A, Berger MD, Soni S, et al.. CXCL9, CXCL10, CXCL11/CXCR3 axis for immune activation - A target for novel cancer therapy. Cancer Treat Rev. 2018. PMID 29207310 · DOI · PMC5801162
  8. Cibrián D, Sánchez-Madrid F. CD69: from activation marker to metabolic gatekeeper. Eur J Immunol. 2017. PMID 28475283 · DOI · PMC6485631
  9. Gardner A, Ruffell B. Dendritic Cells and Cancer Immunity. Trends Immunol. 2016. PMID 27793569 · DOI · PMC5135568

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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Evidence strength

EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.

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Related research topics

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  • Antigen PresentationImmunology
  • Immunologic MemoryImmunology
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All 90 articles in Immunology →

At a glance

118,630
PubMed records on this heading
7%
published since 2020
10,437
review articles
735
randomized trials
9
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Cross-PrimingImmunology
  • CD4-CD8 RatioImmunology
  • Adaptive ImmunityImmunology
  • Antigen PresentationImmunology
  • Immunologic MemoryImmunology

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Sources

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  • PubMed search used ↗

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