Evidence map›Paper›PMID 41614453›Full record

ArticleHuman vaccines & immunotherapeutics2026

Development of a unified mass cytometry assay integrating activation-induced markers (AIMs) and cytokine profiling for high-throughput assessment of antigen-specific T cell responses.

Na Wan, Yupeng Xue, Sifan Chen, Houze Yu, Xupu Ma, Rui Cheng, Xinyu Jiang, Zijie Scott Zhang, Wei Yang, Jingxin Li and 1 more

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Na WanBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Yupeng XueBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Sifan ChenBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Houze YuBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Xupu MaBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Rui ChengBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Xinyu JiangBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Zijie Scott ZhangBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Wei YangBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Jingxin LiSchool of Public Health, National Vaccine Innovation Platform, Nanjing Medical University, Nanjing, Jiangsu, China.
Yanli ChenBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.ORCID 0000-0002-7461-7068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate profiling of antigen-specific T cells by measuring T cell activation markers and cytokine production has been limited by inconsistent marker usage across studies and substantial methodological variability. To overcome these challenges, we established a unified mass cytometry (CyTOF) platform that integrates optimized activation-induced marker (AIM) panels, intracellular cytokine staining (ICS), and a cadmium-based barcoding system for high-throughput, multiplexed analysis of T cell responses. We optimized stimulation conditions (18-24 h) and validated highly sensitive dual AIM combinations, including CD25

Indexed as

CD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCytokinesFlow CytometryHigh-Throughput Screening AssaysLymphocyte ActivationT-LymphocytesAntigens, CDBiomarkersHumansAntigens, CDBiomarkersCytokinesactivation-induced markersantigen-specific T cell responsescytokine profilinghigh-throughputMass cytometry

Identifiers

PMID41614453
PMCPMC12867460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.