Evidence map›Paper›PMID 37325713›Full record

ArticlePhenomics (Cham, Switzerland)2023

Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses.

Jian Gao, Yali Luo, Helian Li, Yiran Zhao, Jialin Zhao, Xuling Han, Jingxuan Han, Huiqin Lin, Feng Qian

Abstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Towards a Compositional Framework for Describing Human Phenotypes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

9 authors.

Jian GaoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-9163-1152
Yali LuoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0001-7657-6207
Helian LiState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0001-7701-6826
Yiran ZhaoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0001-6543-561X
Jialin ZhaoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-1165-8911
Xuling HanState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-7995-1479
Jingxuan HanState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-2138-9647
Huiqin LinState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0001-7156-2527
Feng QianState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-2312-5936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunophenotyping is proving crucial to understanding the role of the immune system in health and disease. High-throughput flow cytometry has been used extensively to reveal changes in immune cell composition and function at the single-cell level. Here, we describe six optimized 11-color flow cytometry panels for deep immunophenotyping of human whole blood. A total of 51 surface antibodies, which are readily available and validated, were selected to identify the key immune cell populations and evaluate their functional state in a single assay. The gating strategies for effective flow cytometry data analysis are included in the protocol. To ensure data reproducibility, we provide detailed procedures in three parts, including (1) instrument characterization and detector gain optimization, (2) antibody titration and sample staining, and (3) data acquisition and quality checks. This standardized approach has been applied to a variety of donors for a better understanding of the complexity of the human immune system. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-022-00092-9.

Indexed as

Deep immunophenotypingGating strategiesHuman whole bloodMulti-parametric flow cytometryStandardization

Identifiers

PMID37325713
PMCPMC10260734

What OpenQuestion holds

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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.