Evidence map›Paper›PMID 31745213›Full record

ReviewCell death and differentiation2020

Ecdysone controlled cell and tissue deletion.

Tianqi Xu, Xin Jiang, Donna Denton, Sharad Kumar

Open access · bronzeAbstract readReview
In one paragraph

Review in Cell death and differentiation, 2020. 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
3.3field-weighted citation impact, top 7% 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, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Dynamic eIF3-S6 Phase Separation Switch Instructed by mAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Insects · 2023
    Article
  11. A novel geneeLife · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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 at 1 institution in 1 country.

Tianqi XuCentre for Cancer Biology, University of South Australia and SA Pathology, GPO Box 2471, Adelaide, SA, 5001, Australia.
Xin JiangCentre for Cancer Biology, University of South Australia and SA Pathology, GPO Box 2471, Adelaide, SA, 5001, Australia.
Donna DentonCentre for Cancer Biology, University of South Australia and SA Pathology, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0002-6271-3183
Sharad KumarCentre for Cancer Biology, University of South Australia and SA Pathology, GPO Box 2471, Adelaide, SA, 5001, Australia. sharad.kumar@unisa.edu.au.
South Australia Pathology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The removal of superfluous and unwanted cells is a critical part of animal development. In insects the steroid hormone ecdysone, the focus of this review, is an essential regulator of developmental transitions, including molting and metamorphosis. Like other steroid hormones, ecdysone works via nuclear hormone receptors to direct spatial and temporal regulation of gene transcription including genes required for cell death. During insect metamorphosis, pulses of ecdysone orchestrate the deletion of obsolete larval tissues, including the larval salivary glands and the midgut. In this review we discuss the molecular machinery and mechanisms of ecdysone-dependent cell and tissue removal, with a focus on studies in Drosophila and Lepidopteran insects.

Indexed as

AnimalsCell DeathDrosophilaEcdysoneLepidopteraMetamorphosis, BiologicalMoltingEcdysone

Identifiers

PMID31745213
PMCPMC7205961
OpenAlexW2990530023

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.