Evidence map›Paper›PMID 31391919›Full record

ReviewCell & bioscience2019

The single-cell sequencing: new developments and medical applications.

Xiaoning Tang, Yongmei Huang, Jinli Lei, Hui Luo, Xiao Zhu

Abstract readReview
In one paragraph

Review in Cell & bioscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Omics Technologies in Molecular Biology.International journal of molecular sciences · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. High-throughput single-cell sequencing of activated sludge microbiome.Environmental science and ecotechnology · 2025
    Article
  18. Review
  19. Review
  20. Review

95 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

5 authors.

Xiaoning Tang *1The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, 524023 China.
Yongmei Huang *1The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, 524023 China.
Jinli Lei1The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, 524023 China.
Hui Luo1The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, 524023 China.
Xiao Zhu1The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, 524023 China.ORCID 0000-0002-1737-3386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell sequencing technologies can be used to detect the genome, transcriptome and other multi-omics of single cells. They can show the differences and evolutionary relationships of various cells. This review introduces the latest advances in single-cell sequencing technologies and their applications in oncology, microbiology, neurology, reproduction, immunology, digestive and urinary systems, highlighting the important role that single-cell sequencing techniques play in these areas.

Indexed as

CancerClinical applicationsDevelopmentsImmunologySingle-cell sequencing technologiesTranscriptome

Identifiers

PMID31391919
PMCPMC6595701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.