Evidence map›Paper›PMID 32511091›Full record

ArticleeLife2020

The dynamic transmission of positional information in

Zhe Yang, Hongcun Zhu, Kakit Kong, Xiaoxuan Wu, Jiayi Chen, Peiyao Li, Jialong Jiang, Jinchao Zhao, Bofei Cui, Feng Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

10 authors.

Zhe Yang *State Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Hongcun Zhu *State Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Kakit Kong *State Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Xiaoxuan WuState Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Jiayi ChenState Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Peiyao LiState Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Jialong JiangState Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Jinchao ZhaoState Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Bofei CuiState Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.
Feng LiuState Key Laboratory of Nuclear Physics and Technology & Center for Quantitative Biology, Peking University, Beijing, China.ORCID 0000-0001-9724-6127

Funding

National Natural Science Foundation of China The General Program 31670852Peking University 100-talent plan
6 · The paper itself

Abstract

It has been suggested that Staufen (Stau) is key in controlling the variability of the posterior boundary of the Hb anterior domain (

Indexed as

AnimalsBody PatterningDrosophila melanogasterDrosophila ProteinsEmbryonic DevelopmentEmbryo, NonmammalianGene Expression Regulation, DevelopmentalMutationRNA-Binding ProteinsDrosophila ProteinsRNA-Binding Proteinsstau protein, Drosophilacomputational biologydevelopmental biologydevelopmental patterningD. melanogasternoise filteringsystems biologythreshold dependent model

Identifiers

PMID32511091
PMCPMC7332292

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.