Evidence map›Paper›PMID 37882342›Full record

ArticleProteomics2024

Proteome-wide abundance profiling of yeast deletion strains for GET pathway members using sample multiplexing.

Joel S Gygi, Xinyue Liu, Benjamin P Levi, Joao A Paulo

Abstract read
In one paragraph

Article in Proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Joel S GygiDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Xinyue LiuDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Benjamin P LeviDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Joao A PauloDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-4291-413X

Funding

Advancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7M
NIGMS NIH HHS GM132129NIGMS NIH HHS R01 GM132129
6 · The paper itself

Abstract

The GET pathway is associated with post-translational delivery of tail-anchored (TA) proteins to the endoplasmic reticulum (ER) in yeast, as well as other eukaryotes. Moreover, dysfunction of the GET pathway has been associated with various pathological conditions (i.e., neurodegenerative disorders, cardiovascular ailments, and protein misfolding diseases). In this study, we used yeast deletion strains of Get complex members (specifically, Get1, Get2, Get3, Get4, and Get5) coupled with sample multiplexing-based quantitative mass spectrometry to profile protein abundance on a proteome-wide scale across the five individual deletion strains. Our dataset consists of over 4500 proteins, which corresponds to >75% of the yeast proteome. The data reveal several dozen proteins that are differentially abundant in one or more deletion strains, some of which are membrane-associated, yet the abundance of many TA proteins remained unchanged. This study provides valuable insights into the roles of these Get genes, and the potential for alternative pathways which help maintain cellular function despite the disruption of the GET pathway.

Indexed as

ProteomeSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsEndoplasmic ReticulumGene DeletionProteomicsProteomeSaccharomyces cerevisiae ProteinsFAIMSGET pathwayisobaric taggingRTS‐MS3TMTpro

Identifiers

PMID37882342
PMCPMC11045664

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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.