Evidence map›Paper›PMID 38519575›Full record

ArticleNature chemical biology2024

Global signal peptide profiling reveals principles of selective Sec61 inhibition.

Nicole A Wenzell, Brian B Tuch, Dustin L McMinn, Matthew J Lyons, Christopher J Kirk, Jack Taunton

Abstract read
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In one paragraph

Article in Nature chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 1 institution in 1 country.

Nicole A WenzellChemistry and Chemical Biology Program, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-8209-2249
Brian B TuchKezar Life Sciences, South San Francisco, CA, USA.
Dustin L McMinnKezar Life Sciences, South San Francisco, CA, USA.
Matthew J LyonsChemistry and Chemical Biology Program, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1207-9671
Christopher J KirkKezar Life Sciences, South San Francisco, CA, USA.
Jack TauntonDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA. jack.taunton@ucsf.edu.ORCID http://orcid.org/0000-0002-9627-5898
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotransins target the Sec61 translocon and inhibit the biogenesis of an undefined subset of secretory and membrane proteins. Remarkably, cotransin inhibition depends on the unique signal peptide (SP) of each Sec61 client, which is required for cotranslational translocation into the endoplasmic reticulum. It remains unknown how an SP's amino acid sequence and biophysical properties confer sensitivity to structurally distinct cotransins. Here we describe a fluorescence-based, pooled-cell screening platform to interrogate nearly all human SPs in parallel. We profiled two cotransins with distinct effects on cancer cells and discovered a small subset of SPs, including the oncoprotein human epidermal growth factor receptor 3 (HER3), with increased sensitivity to the more selective cotransin, KZR-9873. By comparing divergent mouse and human orthologs, we unveiled a position-dependent effect of arginine on SP sensitivity. Our multiplexed profiling platform reveals how cotransins can exploit subtle sequence differences to achieve SP discrimination.

Indexed as

Protein Sorting SignalsSEC Translocation ChannelsAmino Acid SequenceAnimalsCell Line, TumorEndoplasmic ReticulumHumansMembrane ProteinsMiceMembrane ProteinsProtein Sorting SignalsSEC Translocation Channels

Identifiers

PMID38519575
OpenAlexW4393086177

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.