Evidence map›Paper›PMID 32680934›Full record

ArticleDevelopment (Cambridge, England)2020

Quantitative analyses of EGFR localization and trafficking dynamics in the follicular epithelium.

Nicole T Revaitis, Matthew G Niepielko, Robert A Marmion, Eric A Klein, Benedetto Piccoli, Nir Yakoby

Open access · bronzeAbstract read
In one paragraph

Article in Development (Cambridge, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors at 2 institutions in 1 country.

Nicole T RevaitisCenter for Computational and Integrative Biology, Rutgers, The State University of New Jersey, Camden, NJ 08103, USA.
Matthew G NiepielkoNew Jersey Center for Science, Technology & Mathematics, Kean University, Union, NJ 07083, USA.
Robert A MarmionCenter for Computational and Integrative Biology, Rutgers, The State University of New Jersey, Camden, NJ 08103, USA.ORCID 0000-0002-3895-0584
Eric A KleinCenter for Computational and Integrative Biology, Rutgers, The State University of New Jersey, Camden, NJ 08103, USA.
Benedetto PiccoliCenter for Computational and Integrative Biology, Rutgers, The State University of New Jersey, Camden, NJ 08103, USA.
Nir YakobyCenter for Computational and Integrative Biology, Rutgers, The State University of New Jersey, Camden, NJ 08103, USA yakoby@camden.rutgers.edu.ORCID 0000-0002-7959-7588
Rutgers, The State University of New Jersey · USKean University · US

Funding

AREA: Mechanisms underlying epithelial cells’ patterning and morphogenesisR15GM101597 · NIGMS · RUTGERS THE STATE UNIV OF NJ CAMDEN · PI YAKOBY, NIR · 2013 to 2017
$806k
NIGMS NIH HHS R15 GM101597
6 · The paper itself

Abstract

To bridge the gap between qualitative and quantitative analyses of the epidermal growth factor receptor (EGFR) in tissues, we generated an sfGFP-tagged EGF receptor (EGFR-sfGFP) in

Indexed as

Signal TransductionAnimalsDrosophila melanogasterDrosophila ProteinsEndosomesEpithelial CellsEpitheliumErbB ReceptorsFemaleOvarian FollicleReceptors, Invertebrate PeptideTransforming Growth Factor alphaDrosophila ProteinsEgfr protein, DrosophilaErbB Receptorsgrk protein, DrosophilaReceptors, Invertebrate PeptideTransforming Growth Factor alphaCRISPR/Cas9 labelingEGFR dynamicsEGFR signalingIn vivo analyses

Identifiers

PMID32680934
PMCPMC7438018
OpenAlexW3043060262

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.