Evidence map›Paper›PMID 36776823›Full record

ArticleArXiv2023

Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins.

Eugene Serebryany, Victor Y Zhao, Kibum Park, Amir Bitran, Sunia A Trauger, Bogdan Budnik, Eugene I Shakhnovich

Abstract readPreprint
In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Eugene SerebryanyDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.
Victor Y ZhaoDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.
Kibum ParkDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.
Amir BitranDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.
Sunia A TraugerCenter for Mass Spectrometry, Harvard University, Cambridge, MA.
Bogdan BudnikCenter for Mass Spectrometry, Harvard University, Cambridge, MA.
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.

Funding

Biophysical foundations of evolutionary dynamicsR35GM139571 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2021 to 2025
$3.9M
High-throughput disulfide and FRET scanning to reveal protein conformational ensembles in vitro and in vivo.K99GM141459 · NIGMS · HARVARD UNIVERSITY · PI SEREBRYANY, EVGENY · 2021 to 2022
$200k
Multiscale study of the phenotypic consequences of protein folding intermediates in dihydrofolate reductaseF32GM126651 · NIGMS · HARVARD UNIVERSITY · PI SEREBRYANY, EVGENY · 2018 to 2019
$120k
NIGMS NIH HHS F32 GM126651NIGMS NIH HHS K99 GM141459NIGMS NIH HHS R35 GM139571
6 · The paper itself

Abstract

Non-native conformations drive protein misfolding diseases, complicate bioengineering efforts, and fuel molecular evolution. No current experimental technique is well-suited for elucidating them and their phenotypic effects. Especially intractable are the transient conformations populated by intrinsically disordered proteins. We describe an approach to systematically discover, stabilize, and purify native and non-native conformations, generated in vitro or in vivo, and directly link conformations to molecular, organismal, or evolutionary phenotypes. This approach involves high-throughput disulfide scanning (HTDS) of the entire protein. To reveal which disulfides trap which chromatographically resolvable conformers, we devised a deep-sequencing method for double-Cys variant libraries of proteins that precisely and simultaneously locates both Cys residues within each polypeptide. HTDS of the abundant E. coli periplasmic chaperone HdeA revealed distinct classes of disordered hydrophobic conformers with variable cytotoxicity depending on where the backbone was cross-linked. HTDS can bridge conformational and phenotypic landscapes for many proteins that function in disulfide-permissive environments.

Identifiers

PMID36776823
PMCPMC9915745

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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.