Evidence map›Paper›PMID 33179922›Full record

ArticleThe journal of physical chemistry letters2020

Phosphorylation-Dependent Conformations of the Disordered Carboxyl-Terminus Domain in the Epidermal Growth Factor Receptor.

Raju Regmi, Shwetha Srinivasan, Andrew P Latham, Vandna Kukshal, Weidong Cui, Bin Zhang, Ron Bose, Gabriela S Schlau-Cohen

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  9. Molecular Structure of the NaInternational journal of molecular sciences · 2024
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  20. Consistent Force Field Captures Homologue-Resolved HP1 Phase Separation.Journal of chemical theory and computation · 2021
    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

8 authors at 2 institutions in 1 country.

Raju RegmiDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.ORCID http://orcid.org/0000-0003-4035-0390
Shwetha SrinivasanDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Andrew P LathamDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.ORCID http://orcid.org/0000-0002-9338-7253
Vandna KukshalDepartment of Medicine and Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States.
Weidong CuiDepartment of Chemistry, Washington University School of Medicine, St. Louis, Missouri 63110, United States.
Bin ZhangDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.ORCID http://orcid.org/0000-0002-3685-7503
Ron BoseDepartment of Medicine and Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States.
Gabriela S Schlau-CohenDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.ORCID http://orcid.org/0000-0001-7746-2981
Massachusetts Institute of Technology · USWashington University in St. Louis · US

Funding

TrainingP41GM103422 · NIGMS · WASHINGTON UNIVERSITY · PI YARASHESKI, KEVIN E · 2012 to 2019
$12.0M
Probing and Perturbing Transcriptional Condensates with Multiscale Modeling and Deep LearningR35GM133580 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Bin Zhang · 2019 to 2026
$3.1M
Nanometer distance assay to uncover protein dynamicsDP2GM128200 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHLAU-COHEN, GABRIELA · 2017 to 2017
$2.4M
MECHANISMS OF HER2 HETERODIMERIZATIONR01CA161001 · NCI · WASHINGTON UNIVERSITY · PI BOSE, RON · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA161001NIGMS NIH HHS DP2 GM128200NIGMS NIH HHS P41 GM103422NIGMS NIH HHS R35 GM133580
6 · The paper itself

Abstract

The epidermal growth factor receptor (EGFR), a receptor tyrosine kinase, regulates basic cellular functions and is a major target for anticancer therapeutics. The carboxyl-terminus domain is a disordered region of EGFR that contains the tyrosine residues, which undergo autophosphorylation followed by docking of signaling proteins. Local phosphorylation-dependent secondary structure has been identified and is thought to be associated with the signaling cascade. Deciphering and distinguishing the overall conformations, however, have been challenging because of the disordered nature of the carboxyl-terminus domain and resultant lack of well-defined three-dimensional structure for most of the domain. We investigated the overall conformational states of the isolated EGFR carboxyl-terminus domain using single-molecule Förster resonance energy transfer and coarse-grained simulations. Our results suggest that electrostatic interactions between charged residues emerge within the disordered domain upon phosphorylation, producing a looplike conformation. This conformation may enable binding of downstream signaling proteins and potentially reflect a general mechanism in which electrostatics transiently generate functional architectures in disordered regions of a well-folded protein.

Indexed as

ErbB ReceptorsFluorescence Resonance Energy TransferHumansMolecular Dynamics SimulationPhosphorylationProtein ConformationStatic ElectricityEGFR protein, humanErbB Receptors

Identifiers

PMID33179922
PMCPMC8063277
OpenAlexW3105819471

What OpenQuestion holds

Textmetadata
LicenceTDM
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.