Evidence map›Paper›PMID 39186216›Full record

ReviewClinical reviews in allergy & immunology2024

Single-Cell Sequencing: High-Resolution Analysis of Cellular Heterogeneity in Autoimmune Diseases.

Xuening Tang, Yudi Zhang, Hao Zhang, Nan Zhang, Ziyu Dai, Quan Cheng, Yongzhen Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical reviews in allergy & immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. SCPEP1Frontiers in immunology · 2025
    Article
  8. 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

7 authors.

Xuening TangDepartment of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Yudi ZhangDepartment of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Hao ZhangDepartment of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China.
Nan ZhangCollege of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
Ziyu DaiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Quan ChengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China. chengquan@csu.edu.cn.
Yongzhen LiDepartment of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China. 507271@csu.edu.cn.

Funding

Changsha Natural Science Foundation kq2208314Hunan Provincial Health Committee Foundation of China B202306017169Hunan Youth Science and Technology Talent Project 2023RC3074
6 · The paper itself

Abstract

Autoimmune diseases (AIDs) are complex in etiology and diverse in classification but clinically show similar symptoms such as joint pain and skin problems. As a result, the diagnosis is challenging, and usually, only broad treatments can be available. Consequently, the clinical responses in patients with different types of AIDs are unsatisfactory. Therefore, it is necessary to conduct more research to figure out the pathogenesis and therapeutic targets of AIDs. This requires research technologies with strong extraction and prediction capabilities. Single-cell sequencing technology analyses the genomic, epigenomic, or transcriptomic information at the single-cell level. It can define different cell types and states in greater detail, further revealing the molecular mechanisms that drive disease progression. These advantages enable cell biology research to achieve an unprecedented resolution and scale, bringing a whole new vision to life science research. In recent years, single-cell technology especially single-cell RNA sequencing (scRNA-seq) has been widely used in various disease research. In this paper, we present the innovations and applications of single-cell sequencing in the medical field and focus on the application contributing to the differential diagnosis and precise treatment of AIDs. Despite some limitations, single-cell sequencing has a wide range of applications in AIDs. We finally present a prospect for the development of single-cell sequencing. These ideas may provide some inspiration for subsequent research.

Indexed as

Autoimmune DiseasesSingle-Cell AnalysisAnimalsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNATranscriptomeAutoimmune diseasesHeterogeneityMulti-omics analysisSingle-cell sequencing

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.