Evidence map›Paper›PMID 33236283›Full record

ReviewClinical reviews in allergy & immunology2021

The Application of Single-Cell RNA Sequencing in Studies of Autoimmune Diseases: a Comprehensive Review.

Mingming Zhao, Jiao Jiang, Ming Zhao, Christopher Chang, Haijing Wu, Qianjin Lu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical reviews in allergy & immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Characterizing the Cellular Constituents of Proximal Airway Disease in Granulomatosis With Polyangiitis.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. IFN-γ-producing TScience translational medicine · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. A transcriptome atlas and interactive analysis platform for autoimmune disease.Database : the journal of biological databases and curation · 2022
    Article
  19. Review
  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

6 authors.

Mingming ZhaoDepartment of Dermatology, the Second Xiangya Hospital, Central South University, 410011, Changsha, Hunan, People's Republic of China.
Jiao JiangDepartment of Dermatology, the Second Xiangya Hospital, Central South University, 410011, Changsha, Hunan, People's Republic of China.
Ming ZhaoDepartment of Dermatology, the Second Xiangya Hospital, Central South University, 410011, Changsha, Hunan, People's Republic of China.
Christopher ChangDivision of Pediatric Immunology and Allergy, Joe DiMaggio Children's Hospital, Hollywood, FL, 33021, USA.
Haijing WuDepartment of Dermatology, the Second Xiangya Hospital, Central South University, 410011, Changsha, Hunan, People's Republic of China. chriswu1010@csu.edu.cn.
Qianjin LuDepartment of Dermatology, the Second Xiangya Hospital, Central South University, 410011, Changsha, Hunan, People's Republic of China. qianlu5860@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex composition is one of the most important features of the immune system, involving many types of organs, tissues, cells, and molecules that perform immune functions. The normal function of each component of the immune system is the guarantee for maintaining the relatively stable immune function of the body. When the self-immune tolerance mechanism of the body is unregulated or destroyed, the immune system reacts to autoantigens, resulting in damage to self-tissues and organs or an immunopathological state with abnormal functions. Autoimmune diseases are diverse, and their pathogenesis is complicated. Various immune cells and their interactions play significant roles in the occurrence and development of diseases. The solution to heterogeneity of immune cells is the basic science and translational understanding of how genes and the environment interact to induce disease so that we can develop personalized medicine, a goal that has to this point eluded scientists. Single-cell RNA sequencing (scRNA-Seq) refers to a new technique allowing high-throughput sequencing analysis of the whole transcriptome to reveal the gene expression status of individual cells. It has emerged as an indispensable tool in the field of life science research, and can help identify the complex mechanism of cell heterogeneity, discover new cell subsets, and help uncover the molecular mechanisms of pathogenesis, the evolution of disorders, and drug resistance. This information can provide us with new strategies for diagnosis and prognostic evaluation, as well as monitoring treatment responses. In this review, we summarize the crucial experimental procedures used for single-cell RNA sequencing, and the current applications of this technique to study autoimmune diseases are described in detail. This technique will be widely used in more in-depth studies of autoimmune diseases and will contribute to the diagnosis and therapies of these disorders.

Indexed as

AnimalsAutoimmune DiseasesGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNASingle-Cell AnalysisTranscriptomeTranslational Research, BiomedicalAutoimmune diseaseSingle-cell RNA sequencingTranscriptome

Identifiers

What OpenQuestion holds

Textmetadata
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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.