Evidence map›Paper›PMID 36350663›Full record

ArticleNucleic acids research2023

TEDD: a database of temporal gene expression patterns during multiple developmental periods in human and model organisms.

Ziheng Zhou, Cong Tan, Matthew Hoi Kin Chau, Xiaosen Jiang, Ziyuan Ke, Xiaoyan Chen, Ye Cao, Yvonne K Kwok, Matthew Bellgard, Tak Yeung Leung and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Mutation Severity ofHuman mutation · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  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

12 authors at 3 institutions in 3 countries.

Ziheng ZhouDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Cong TanState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Matthew Hoi Kin ChauDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Xiaosen JiangBGI-Shenzhen, Shenzhen 518083, China.
Ziyuan KeBGI-Shenzhen, Shenzhen 518083, China.
Xiaoyan ChenDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-0554-2031
Ye CaoDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Yvonne K KwokDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Matthew BellgardeResearch Office, Queensland University of Technology, Brisbane, QLD, Australia.
Tak Yeung LeungDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Kwong Wai ChoyDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-3616-6200
Zirui DongDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-3626-6500
Chinese University of Hong Kong · HKBGI Group (China) · CNQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of the specific expression and chromatin profiles of genes enables understanding how they contribute to tissue/organ development and the mechanisms leading to diseases. Whilst the number of single-cell sequencing studies is increasing dramatically; however, data mining and reanalysis remains challenging. Herein, we systematically curated the up-to-date and most comprehensive datasets of sequencing data originating from 2760 bulk samples and over 5.1 million single-cells from multiple developmental periods from humans and multiple model organisms. With unified and systematic analysis, we profiled the gene expression and chromatin accessibility among 481 cell-types, 79 tissue-types and 92 timepoints, and pinpointed cells with the co-expression of target genes. We also enabled the detection of gene(s) with a temporal and cell-type specific expression profile that is similar to or distinct from that of a target gene. Additionally, we illustrated the potential upstream and downstream gene-gene regulation interactions, particularly under the same biological process(es) or KEGG pathway(s). Thus, TEDD (Temporal Expression during Development Database), a value-added database with a user-friendly interface, not only enables researchers to identify cell-type/tissue-type specific and temporal gene expression and chromatin profiles but also facilitates the association of genes with undefined biological functions in development and diseases. The database URL is https://TEDD.obg.cuhk.edu.hk/.

Indexed as

Databases, GeneticGene ExpressionAnimalsChromatinEmbryonic DevelopmentGene Expression RegulationHumansOrgan SpecificityUser-Computer InterfaceChromatin

Identifiers

PMID36350663
PMCPMC9825605
OpenAlexW4308616046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.