Evidence map›Paper›PMID 39453742›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Isaiah W Taylor, O Rahul Patharkar, Medhavinee Mijar, Che-Wei Hsu, John Baer, Chad E Niederhuth, Uwe Ohler, Philip N Benfey, John C Walker

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. 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. Article
  2. Article
  3. Review
  4. Review
  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

9 authors.

Isaiah W TaylorDuke University, Durham, NC 27708.ORCID 0000-0002-6535-8658
O Rahul PatharkarBayer CropScience AG Research and Development, Saint Louis, MO 63141.ORCID 0000-0002-1242-6549
Medhavinee MijarDuke University, Durham, NC 27708.ORCID 0000-0001-7771-3357
Che-Wei HsuDuke University, Durham, NC 27708.ORCID 0000-0003-3709-9748
John BaerWashington University in St Louis, Saint Louis, MO 63105.
Chad E NiederhuthMichigan State University, East Lansing, MI 48824.ORCID 0000-0003-3268-9079
Uwe OhlerMax-Delbruck-Centrum fur Molekulare Medizin in der Helmholtz-Gemeinschaft, Berlin 10115, Germany.ORCID 0000-0002-0881-3116
Philip N BenfeyDuke University, Durham, NC 27708.ORCID 0000-0001-5302-758X
John C WalkerUniversity of Missouri, Columbia, MO 65211.ORCID 0000-0002-2050-1641

Funding

A Molecular Genetic Analysis of Root MorphogenesisR35GM131725 · NIGMS · DUKE UNIVERSITY · PI BENFEY, PHILIP N · 2019 to 2023
$1.5M
HHMI (HHMI) HHMI-BenfeyNIGMS NIH HHS R35 GM131725NSF | BIO | Division of Molecular and Cellular Biosciences (MCB) MCB-0743955USDA | National Institute of Food and Agriculture (NIFA) 2021-67034-35139
6 · The paper itself

Abstract

Abscission is the programmed separation of plant organs. It is widespread in the plant kingdom with important functions in development and environmental response. In Arabidopsis, abscission of floral organs (sepals, petals, and stamens) is controlled by two receptor-like protein kinases HAESA (HAE) and HAESA LIKE-2 (HSL2), which orchestrate the programmed dissolution of the abscission zone connecting floral organs to the developing fruit. In this work, we use single-cell RNA sequencing to characterize the core

Indexed as

ArabidopsisArabidopsis ProteinsFlowersGene Expression Regulation, PlantSignal TransductionProtein Serine-Threonine KinasesArabidopsis ProteinsHSL2 protein, ArabidopsisProtein Serine-Threonine Kinasesabscissionsignalingsinge-cell rna-sequencing

Identifiers

PMID39453742
PMCPMC11536089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.