Dataset Information

Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression

ABSTRACT: Targeted proteomics plays a specialized role in hypothesis-driven research where the expression of cohorts of dozens of proteins related by function, disease, co-expression, localization, or class are measured after perturbing a pathway. Moreover, a major advance in proteomics is the ability to combine many samples (up to 16) for simultaneous quantification using tandem mass tag (TMT) reagents. Here we present a pathway-centric approach for targeting protein lists selected from up to 10,000 expressed proteins to directly measure their abundances, exploiting sample multiplexing to increase throughput. The strategy, termed GoDig, requires only a single-shot LC-MS analysis, ~1 µg combined peptide material, and real-time analytics to trigger simultaneous quantification of up to 16 samples for hundreds of analytes. We applied GoDig to investigate the impact of genetic variation on protein expression in mice fed a Western-style diet high in fat and sucrose. For selected sets of proteins of interest (e.g., kinases, lipid metabolism- and lipid droplet-associated proteins), protein abundances from mouse livers from 480 fully genotyped Diversity Outbred mice were profiled. The results revealed previously unknown protein quantitative trait loci (QTL) and established potential linkages between specific proteins and lipid homeostasis. In all, GoDig provides an integrated solution for next-generation targeted pathway proteomics.

INSTRUMENT(S): Orbitrap Eclipse

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Qing Yu

LAB HEAD: Steven Gygi

PROVIDER: PXD033643 | Pride | 2023-03-11

REPOSITORIES: Pride

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			Action	DRS
	494029_ec02360_A2.mzIdentML	Mzid
	494030_ec02359_A1.mzIdentML	Mzid
	494031_ec02361_A3.mzIdentML	Mzid
	494032_ec02362_A4.mzIdentML	Mzid
	494033_ec02364_A6.mzIdentML	Mzid

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Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression.

Yu Qing Q Liu Xinyue X Keller Mark P MP Navarrete-Perea Jose J Zhang Tian T Fu Sipei S Vaites Laura P LP Shuken Steven R SR Schmid Ernst E Keele Gregory R GR Li Jiaming J Huttlin Edward L EL Rashan Edrees H EH Simcox Judith J Churchill Gary A GA Schweppe Devin K DK Attie Alan D AD Paulo Joao A JA Gygi Steven P SP

Nature communications 20230202 1

Targeted proteomics enables hypothesis-driven research by measuring the cellular expression of protein cohorts related by function, disease, or class after perturbation. Here, we present a pathway-centric approach and an assay builder resource for targeting entire pathways of up to 200 proteins selected from >10,000 expressed proteins to directly measure their abundances, exploiting sample multiplexing to increase throughput by 16-fold. The strategy, termed GoDig, requires only a single-shot LC- ...[more]

PMID: 36732331

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