Evidence map›Paper›PMID 34811538›Full record

ArticleNature immunology2021

High-throughput and high-dimensional single-cell analysis of antigen-specific CD8

Ke-Yue Ma, Alexandra A Schonnesen, Chenfeng He, Amanda Y Xia, Eric Sun, Eunise Chen, Katherine R Sebastian, Yu-Wan Guo, Robert Balderas, Mrinalini Kulkarni-Date and 1 more

Open access · bronzeAbstract readComparative StudyTechnical Report
In one paragraph

Article in Nature immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

54 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
  2. T Cell Thoughts.Immunological reviews · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. CD8 + T Cells in Gastrointestinal Cancer: a Perspective on Targeting MicroRNA.Journal of molecular medicine (Berlin, Germany) · 2025
    Review
  13. Characterization of human CMV-specific CD8Cell reports methods · 2025
    Article
  14. TDP-43 pathology induces CD8bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Ke-Yue Ma *Interdisciplinary Life Sciences Graduate Programs, The University of Texas at Austin, Austin, TX, USA.
Alexandra A Schonnesen *Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Chenfeng HeDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Amanda Y XiaDepartment of Molecular Biosciences, The University of Texas atAustin, Austin, TX, USA.
Eric SunDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Eunise ChenDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.
Katherine R SebastianDepartment of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Yu-Wan GuoMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
Robert BalderasBecton Dickinson, San Jose, CA, USA.ORCID http://orcid.org/0000-0002-8734-8629
Mrinalini Kulkarni-DateDepartment of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Ning JiangInterdisciplinary Life Sciences Graduate Programs, The University of Texas at Austin, Austin, TX, USA. jnjiang@upenn.edu.ORCID http://orcid.org/0000-0003-1103-5922
The University of Texas at Austin · USUniversity of Pennsylvania · USBecton Dickinson (United States) · US

Funding

An integrated therapeutic T cell receptor screening platform for adoptive cell therapy in cancerR33CA225539 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2018 to 2022
$1.1M
An integrated approach to T cell repertoire in agingR56AG064801 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2019 to 2020
$700k
BioMark HD System for High-Throughput Genomic StudiesS10OD020072 · OD · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2015 to 2015
$489k
NCI NIH HHS R33 CA225539NIA NIH HHS R56 AG064801NIH HHS S10 OD020072
6 · The paper itself

Abstract

Although critical to T cell function, antigen specificity is often omitted in high-throughput multiomics-based T cell profiling due to technical challenges. We describe a high-dimensional, tetramer-associated T cell antigen receptor (TCR) sequencing (TetTCR-SeqHD) method to simultaneously profile cognate antigen specificities, TCR sequences, targeted gene expression and surface-protein expression from tens of thousands of single cells. Using human polyclonal CD8

Indexed as

High-Throughput Nucleotide SequencingSingle-Cell AnalysisAntigensAntigens, ViralAutoantigensAutoimmunityCase-Control StudiesCD8-Positive T-LymphocytesCells, CulturedCell SeparationDiabetes Mellitus, Type 1Herpesvirus 4, HumanHumansOrthomyxoviridaePhenotypeReceptors, Antigen, T-CellAntigensAntigens, ViralAutoantigensReceptors, Antigen, T-Cell

Identifiers

PMID34811538
PMCPMC9184244
OpenAlexW3215752490

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.