Evidence map›Paper›PMID 33891860›Full record

ArticleMolecular cell2021

A unified atlas of CD8 T cell dysfunctional states in cancer and infection.

Yuri Pritykin, Joris van der Veeken, Allison R Pine, Yi Zhong, Merve Sahin, Linas Mazutis, Dana Pe'er, Alexander Y Rudensky, Christina S Leslie

Abstract read
In one paragraph

Article in Molecular cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

90 citing papers in PubMed.

  1. Distinct CD8Cancer cell · 2025
    Trial
  2. Spatiotemporal CD8Cancer science · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Stem-like PD-1Journal for immunotherapy of cancer · 2026
    Article
  10. Article
  11. Article
  12. Post-translational modifications in CD8Frontiers in immunology · 2026
    Review
  13. T cell exhaustion landscapes and therapeutic modulation in cancer immunity.Frontiers in cell and developmental biology · 2026
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. ASPEN: Robust detection of allelic dynamics in single cell RNA-seq.bioRxiv : the preprint server for biology · 2025
    Article

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yuri PritykinComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: pritykin@cbio.mskcc.org.
Joris van der VeekenHoward Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, and Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Allison R PineComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA.
Yi ZhongComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Howard Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, and Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Merve SahinComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA.
Linas MazutisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Dana Pe'erComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Alexander Y RudenskyHoward Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, and Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Christina S LeslieComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: cleslie@cbio.mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tumor-specific T cell state dynamics and heterogeneity in early tumorigenesisU54CA209975 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LESLIE, CHRISTINA S, RUDENSKY, ALEXANDER Y · 2016 to 2021
$11.8M
SELF PEPTIDES BOUND TO MHC CLASS II IN T CELL SELECTIONR01AI034206 · NIAID · UNIVERSITY OF WASHINGTON · PI Alexander Y Rudensky · 1998 to 2026
$6.4M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA008748NCI NIH HHS U54 CA209975NIAID NIH HHS R01 AI034206
6 · The paper itself

Abstract

CD8 T cells play an essential role in defense against viral and bacterial infections and in tumor immunity. Deciphering T cell loss of functionality is complicated by the conspicuous heterogeneity of CD8 T cell states described across experimental and clinical settings. By carrying out a unified analysis of over 300 assay for transposase-accessible chromatin sequencing (ATAC-seq) and RNA sequencing (RNA-seq) experiments from 12 studies of CD8 T cells in cancer and infection, we defined a shared differentiation trajectory toward dysfunction and its underlying transcriptional drivers and revealed a universal early bifurcation of functional and dysfunctional T cell states across models. Experimental dissection of acute and chronic viral infection using single-cell ATAC (scATAC)-seq and allele-specific single-cell RNA (scRNA)-seq identified state-specific drivers and captured the emergence of similar TCF1

Indexed as

Immunity, CellularAcute DiseaseAtlases as TopicCD8-Positive T-LymphocytesChromatinChronic DiseaseEpigenesis, GeneticGene Expression ProfilingGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansLymphocyte ActivationLymphocytic ChoriomeningitisLymphocytic choriomeningitis virusNeoplasmsPrincipal Component AnalysisChromatinTranscription FactorsTransposasesadoptive transferATAC-seqcomputational integrationCUT&RUNRNA-seqsingle cellT cell dysfunctionT cell exhaustionTCF1+ progenitortranscription factors

Identifiers

PMID33891860
PMCPMC8454502

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.