Evidence map›Paper›PMID 36059506›Full record

ReviewFrontiers in immunology2022

Research progress on application of single-cell TCR/BCR sequencing technology to the tumor immune microenvironment, autoimmune diseases, and infectious diseases.

Jinhua He, Jian Shen, Wenfeng Luo, Zeping Han, Fangmei Xie, Ting Pang, Liyin Liao, Zhonghui Guo, Jianhao Li, Yuguang Li and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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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

11 authors.

Jinhua HeCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Jian ShenCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Wenfeng LuoCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Zeping HanCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Fangmei XieCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Ting PangCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Liyin LiaoCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Zhonghui GuoCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Jianhao LiInstitute of Cardiovascular Medicine, Central Hospital of Panyu District, Guangzhou, China.
Yuguang LiAdministrative Office, He Xian Memorial Hospital, Southern Medical University, Guangzhou, China.
Hanwei ChenCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell omics is the profiling of individual cells through sequencing and other technologies including high-throughput analysis for single-cell resolution, cell classification, and identification as well as time series analyses. Unlike multicellular studies, single-cell omics overcomes the problem of cellular heterogeneity. It provides new methods and perspectives for in-depth analyses of the behavior and mechanism of individual cells in the cell population and their relationship with the body, and plays an important role in basic research and precision medicine. Single-cell sequencing technologies mainly include single-cell transcriptome sequencing, single-cell assay for transposase accessible chromatin with high-throughput sequencing, single-cell immune profiling (single-cell T-cell receptor [TCR]/B-cell receptor [BCR] sequencing), and single-cell transcriptomics. Single-cell TCR/BCR sequencing can be used to obtain a large amount of single-cell gene expression and immunomics data at one time, and combined with transcriptome sequencing and TCR/BCR diversity data, can resolve immune cell heterogeneity. This paper summarizes the progress in applying single-cell TCR/BCR sequencing technology to the tumor immune microenvironment, autoimmune diseases, infectious diseases, immunotherapy, and chronic inflammatory diseases, and discusses its shortcomings and prospects for future application.

Indexed as

Autoimmune DiseasesCommunicable DiseasesNeoplasmsHumansReceptors, Antigen, B-CellReceptors, Antigen, T-CellTechnologyTumor MicroenvironmentReceptors, Antigen, B-CellReceptors, Antigen, T-Cellautoimmune diseasesChronic inflammatory diseasesinfectious diseasessingle-cell TCR/BCR sequencingTumor immune microenvironment

Identifiers

PMID36059506
PMCPMC9434330

What OpenQuestion holds

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Registered trials

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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.