Evidence map›Paper›PMID 36316343›Full record

ArticleNature communications2022

A hierarchical transcription factor cascade regulates enteroendocrine cell diversity and plasticity in Drosophila.

Xingting Guo, Yongchao Zhang, Huanwei Huang, Rongwen Xi

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 27 citations in OpenAlex.

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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.

Xingting GuoNational Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, 102206, Beijing, China.
Yongchao ZhangNational Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, 102206, Beijing, China.
Huanwei HuangNational Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, 102206, Beijing, China.
Rongwen XiNational Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, 102206, Beijing, China. xirongwen@nibs.ac.cn.ORCID 0000-0001-5543-1236
National Institute of Biological Sciences, Beijing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enteroendocrine cells (EEs) represent a heterogeneous cell population in intestine and exert endocrine functions by secreting a diverse array of neuropeptides. Although many transcription factors (TFs) required for specification of EEs have been identified in both mammals and Drosophila, it is not understood how these TFs work together to generate this considerable subtype diversity. Here we show that EE diversity in adult Drosophila is generated via an "additive hierarchical TF cascade". Specifically, a combination of a master TF, a secondary-level TF and a tertiary-level TF constitute a "TF code" for generating EE diversity. We also discover a high degree of post-specification plasticity of EEs, as changes in the code-including as few as one distinct TF-allow efficient switching of subtype identities. Our study thus reveals a hierarchically-organized TF code that underlies EE diversity and plasticity in Drosophila, which can guide investigations of EEs in mammals and inform their application in medicine.

Indexed as

DrosophilaDrosophila ProteinsAnimalsEnteroendocrine CellsGene Expression RegulationMammalsTranscription FactorsDrosophila ProteinsTranscription Factors

Identifiers

PMID36316343
PMCPMC9622890
OpenAlexW4307893880

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.