Evidence map›Paper›PMID 30796351›Full record

ReviewCellular & molecular immunology2019

Revolutionizing immunology with single-cell RNA sequencing.

Haide Chen, Fang Ye, Guoji Guo

Abstract readReview
In one paragraph

Review in Cellular & molecular immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

134 citing papers in PubMed.

  1. Trial
  2. Bone reports · 2026
    Article
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  6. Review
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  16. Hydrogel-WrappedMaterials today. Bio · 2025
    Article
  17. Article
  18. Multi-omics and Mendelian randomization identifyTranslational lung cancer research · 2025
    Article
  19. Article
  20. Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025
    Review

74 more citing papers are in PubMed but not listed here.

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

3 authors.

Haide ChenCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, 310058, Hangzhou, China.
Fang YeCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, 310058, Hangzhou, China.
Guoji GuoCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, 310058, Hangzhou, China. ggj@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system is composed of a complex hierarchy of cell types that protect the organism against disease and maintain homeostasis. Identifying heterogeneity of immune cells is the key to understanding the immune system. Advanced single-cell RNA sequencing (scRNA-seq) technologies are revolutionizing our ability to study immunology. By measuring transcriptomes at the single-cell level, scRNA-seq enables identification of cellular heterogeneity in far greater detail than conventional methods. In this review, we introduce the existing scRNA-seq technologies and present their strengths and weaknesses. We also discuss potential applications and future innovations of scRNA-seq in immunology.

Indexed as

Allergy and ImmunologyAnimalsGene Expression ProfilingHumansImmunologic TechniquesSequence Analysis, RNASingle-Cell AnalysisTranscriptome

Identifiers

PMID30796351
PMCPMC6460502

What OpenQuestion 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 OpenQuestion graph.