Evidence map›Paper›PMID 33619630›Full record

ReviewReviews of physiology, biochemistry and pharmacology2021

Single-Cell Sequencing and Organoids: A Powerful Combination for Modelling Organ Development and Diseases.

Yuebang Yin, Peng-Yu Liu, Yinghua Shi, Ping Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reviews of physiology, biochemistry and pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Human Organoids as a Novel Tool for Vaccine Study.Advanced healthcare materials · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Bioreactor Technologies for Enhanced Organoid Culture.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. 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

4 authors.

Yuebang YinCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Peng-Yu LiuDepartment of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Yinghua ShiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China. annysyh@henau.edu.cn.
Ping LiState Key Laboratory of Livestock and Poultry Breeding; Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture; Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Tianhe District, Guangzhou, China. liping@gdaas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development and function of a particular organ and the pathogenesis of various diseases remain intimately linked to the features of each cell type in the organ. Conventional messenger RNA- or protein-based methodologies often fail to elucidate the contribution of rare cell types, including some subpopulations of stem cells, short-lived progenitors and circulating tumour cells, thus hampering their applications in studies regarding organ development and diseases. The scRNA-seq technique represents a new approach for determining gene expression variability at the single-cell level. Organoids are new preclinical models that recapitulate complete or partial features of their original organ and are thought to be superior to cell models in mimicking the sophisticated spatiotemporal processes of the development and regeneration and diseases. In this review, we highlight recent advances in the field of scRNA-seq, organoids and their current applications and summarize the advantages of using a combination of scRNA-seq and organoid technology to model diseases and organ development.

Indexed as

OrganoidsStem CellsRNA, MessengerRNA, MessengerDevelopmentDiseaseOrganoidsSingle-cell sequencing

Identifiers

PMID33619630

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.