Evidence map›Paper›PMID 32074004›Full record

ArticleMolecular biology of the cell2020

14-3-3 targets keratin intermediate filaments to mechanically sensitive cell-cell contacts.

Richard A Mariani, Shalaka Paranjpe, Radek Dobrowolski, Gregory F Weber

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology of the cell, 2020. 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
0.9field-weighted citation impact, top 28% 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, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Roles of Keratins in Intestine.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Keratins as an Inflammation Trigger Point in Epidermolysis Bullosa Simplex.International journal of molecular sciences · 2021
    Review
  8. Review
  9. 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

4 authors at 1 institution in 2 countries.

Richard A MarianiDepartment of Biological Sciences, Rutgers University-Newark, Newark, NJ 07102.
Shalaka ParanjpeDepartment of Biological Sciences, Rutgers University-Newark, Newark, NJ 07102.
Radek DobrowolskiDepartment of Biological Sciences, Rutgers University-Newark, Newark, NJ 07102.
Gregory F WeberDepartment of Biological Sciences, Rutgers University-Newark, Newark, NJ 07102.
Rutgers, The State University of New Jersey · US

Funding

Rutgers Mass Spectrometry Core for Integrative Neuroscience ResearchP30NS046593 · NINDS · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI LOBEL, PETER · 2004 to 2018
$9.9M
Regulation of Neuronal Clearance Pathways via Nuclear Calcium Signaling in Alzheimer's DiseaseR01AG062475 · NIA · RUTGERS THE STATE UNIV OF NJ NEWARK · PI FRIEDMAN, WILMA J · 2019 to 2023
$2.3M
Interplay of Physical Forces, Cell Cohesion and Cytoskeleton during MorphogenesisR15HD084254 · NICHD · RUTGERS THE STATE UNIV OF NJ NEWARK · PI WEBER, GREGORY · 2015 to 2015
$464k
NIA NIH HHS R01 AG062475NICHD NIH HHS R15 HD084254NINDS NIH HHS P30 NS046593
6 · The paper itself

Abstract

Intermediate filament (IF) cytoskeletal networks simultaneously support mechanical integrity and influence signal transduction pathways. Marked remodeling of the keratin IF network accompanies collective cellular morphogenetic movements that occur during early embryonic development in the frog

Indexed as

Cell AdhesionSignal Transduction14-3-3 ProteinsAnimalsComputational BiologyGastrulationIntermediate FilamentsKeratinsMass SpectrometryXenopus laevis14-3-3 ProteinsKeratins

Identifiers

PMID32074004
PMCPMC7185971
OpenAlexW3006762344

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.