Evidence map›Paper›PMID 34522220›Full record

ArticleTheranostics2021

The methods and advances of adaptive immune receptors repertoire sequencing.

Hongmei Liu, Wenjing Pan, Congli Tang, Yujie Tang, Haijing Wu, Akihiko Yoshimura, Yan Deng, Nongyue He, Song Li

Abstract read
In one paragraph

Article in Theranostics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  5. Artificial intelligence in bioinformatics: a survey.Briefings in bioinformatics · 2025
    Review
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  7. Review
  8. Article
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  17. [Prognostic analysis of childhood T-lymphoblastic lymphoma treated with leukemia regimen].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Article
  18. Article
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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.

Hongmei LiuHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.
Wenjing PanHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.
Congli TangState Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.
Yujie TangState Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.
Haijing WuDepartment of Dermatology, Second Xiangya Hospital, Central South University, Hu-nan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China.
Akihiko YoshimuraDepartment of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan.
Yan DengHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.
Nongyue HeHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.
Song LiHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adaptive immune response is a powerful tool, capable of recognizing, binding to, and neutralizing a vast number of internal and external threats via T or B lymphatic receptors with widespread sets of antigen specificities. The emergence of high-throughput sequencing technology and bioinformatics provides opportunities for research in the fields of life sciences and medicine. The analysis and annotation for immune repertoire data can reveal biologically meaningful information, including immune prediction, target antigens, and effective evaluation. Continuous improvements of the immunological repertoire sequencing methods and analysis tools will help to minimize the experimental and calculation errors and realize the immunological information to meet the clinical requirements. That said, the clinical application of adaptive immune repertoire sequencing requires appropriate experimental methods and standard analytical tools. At the population cell level, we can acquire the overview of cell groups, but the information about a single cell is not obtained accurately. The information that is ignored may be crucial for understanding the heterogeneity of each cell, gene expression and drug response. The combination of high-throughput sequencing and single-cell technology allows us to obtain single-cell information with low-cost and high-throughput. In this review, we summarized the current methods and progress in this area.

Indexed as

Adaptive ImmunityB-LymphocytesComputational BiologyHigh-Throughput Nucleotide SequencingHumansReceptors, ImmunologicSingle-Cell AnalysisT-LymphocytesReceptors, Immunologicadaptive immune repertoire sequencingbioinformaticshigh-throughput sequencingT or B cell receptors

Identifiers

PMID34522220
PMCPMC8419057

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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.