Evidence map›Paper›PMID 31399214›Full record

ArticleBiophysical journal2019

Harmonizing Experimental Data with Modeling to Predict Membrane Protein Insertion in Yeast.

Christopher J Guerriero, Yessica K Gomez, Grant J Daskivich, Karl-Richard Reutter, Andrew A Augustine, Kurt F Weiberth, Kunio Nakatsukasa, Michael Grabe, Jeffrey L Brodsky

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Membrane proteins enter the fold.Current opinion in structural biology · 2021
    Review
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 at 2 institutions in 2 countries.

Christopher J GuerrieroDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: cjg11@pitt.edu.
Yessica K GomezCardiovascular Research Institute, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California.
Grant J DaskivichDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania.
Karl-Richard ReutterDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania.
Andrew A AugustineDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kurt F WeiberthDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kunio NakatsukasaDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania; Division of Biological Science, Graduate School of Natural Sciences, Nagoya City University, Nagoya, Aichi, Japan.
Michael GrabeCardiovascular Research Institute, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California.
Jeffrey L BrodskyDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania.
University of Pittsburgh · USUniversity of California, San Francisco · US

Funding

Maximizing Opportunities for Research Excellence - Evaluation Training SupplementR25GM056847 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUNCAN, D'ANNE S., SELLO, JASON K · 1998 to 2023
$14.1M
Single Nephron and MetabolomicsP30DK079307 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CARATTINO, MARCELO DANIEL · 2008 to 2022
$13.4M
STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
Modulating Hsp70-dependent proteostasis in Alzheimer's DiseaseR35GM131732 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JEFFREY L. BRODSKY · 2019 to 2026
$3.4M
ER Associated Degradation of Membrane Proteins in YeastR01GM075061 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRODSKY, JEFFREY L. · 2006 to 2019
$3.2M
Renal and Epithelial Biology Training ProgramT32DK061296 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KLEYMAN, THOMAS R · 2002 to 2022
$3.1M
A Multiscale Model of Protein Mediated Changes in membrane MorphologyR01GM117593 · NIGMS · COLORADO STATE UNIVERSITY · PI ZHOU, YONGCHENG · 2015 to 2019
$1.8M
Experimental and Computational Modeling of ERAD Substrate RetrotranslocationK01DK101584 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GUERRIERO, CHRISTOPHER JAMES · 2014 to 2018
$529k
NIDDK NIH HHS K01 DK101584NIDDK NIH HHS P30 DK079307NIDDK NIH HHS T32 DK061296NIGMS NIH HHS R01 GM075061NIGMS NIH HHS R01 GM117593NIGMS NIH HHS R25 GM056847NIGMS NIH HHS R35 GM131732NIGMS NIH HHS T32 GM008284
6 · The paper itself

Abstract

Membrane proteins must adopt their proper topologies within biological membranes, but achieving the correct topology is compromised by the presence of marginally hydrophobic transmembrane helices (TMHs). In this study, we report on a new model membrane protein in yeast that harbors two TMHs fused to an unstable nucleotide-binding domain. Because the second helix (TMH2) in this reporter has an unfavorable predicted free energy of insertion, we employed established methods to generate variants that alter TMH2 insertion free energy. We first found that altering TMH2 did not significantly affect the extent of protein degradation by the cellular quality control machinery. Next, we correlated predicted insertion free energies from a knowledge-based energy scale with the measured apparent free energies of TMH2 insertion. Although the predicted and apparent insertion energies showed a similar trend, the predicted free-energy changes spanned an unanticipated narrow range. By instead using a physics-based model, we obtained a broader range of free energies that agreed considerably better with the magnitude of the experimentally derived values. Nevertheless, some variants still inserted better in yeast than predicted from energy-based scales. Therefore, molecular dynamics simulations were performed and indicated that the corresponding mutations induced conformational changes within TMH2, which altered the number of stabilizing hydrogen bonds. Together, our results offer insight into the ability of the cellular quality control machinery to recognize conformationally distinct misfolded topomers, provide a model to assess TMH insertion in vivo, and indicate that TMH insertion energy scales may be limited depending on the specific protein and the mutation present.

Indexed as

Molecular Dynamics SimulationATP-Binding Cassette TransportersCell MembraneProtein DomainsProtein FoldingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsATP-Binding Cassette TransportersSaccharomyces cerevisiae ProteinsSTE6 protein, S cerevisiae

Identifiers

PMID31399214
PMCPMC6712491
OpenAlexW2962436165

What Socratic 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 Socratic graph.