Evidence map›Paper›PMID 32332170›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Sample multiplexing for targeted pathway proteomics in aging mice.

Qing Yu, Haopeng Xiao, Mark P Jedrychowski, Devin K Schweppe, Jose Navarrete-Perea, Jeffrey Knott, John Rogers, Edward T Chouchani, Steven P Gygi

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

73 citing papers in PubMed, 125 citations in OpenAlex.

  1. AAV-mediated FGF21 gene therapy promotes health span extension by whole-body tissue-specific adaptations.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Qing YuDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0003-0468-5353
Haopeng XiaoDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-4166-647X
Mark P JedrychowskiDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115.
Devin K SchweppeDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115.
Jose Navarrete-PereaDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0001-6265-6214
Jeffrey KnottCell Signaling Technologies, Danvers, MA 01923.
John RogersThermo Fisher Scientific, Rockford, IL 61101.
Edward T ChouchaniDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115.
Steven P GygiDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115; steven_gygi@hms.harvard.edu.
Harvard University · USCell Signaling Technology (United States) · USThermo Fisher Scientific (United States) · US

Funding

New Sample Multiplexing Technologies to Identify Chemical Probes and Illuminate Ubiquitin BiologyR01GM067945 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GYGI, STEVEN P · 2003 to 2024
$10.5M
Determining mechanisms of the succinate thermogenesis pathways on UCP1-dependent and UCP1-independent thermogenesisR01DK123095 · NIDDK · DANA-FARBER CANCER INST · PI Edward Thomas Chouchani · 2019 to 2026
$4.2M
NIDDK NIH HHS R01 DK123095NIGMS NIH HHS R01 GM067945
6 · The paper itself

Abstract

Pathway proteomics strategies measure protein expression changes in specific cellular processes that carry out related functions. Using targeted tandem mass tags-based sample multiplexing, hundreds of proteins can be quantified across 10 or more samples simultaneously. To facilitate these highly complex experiments, we introduce a strategy that provides complete control over targeted sample multiplexing experiments, termed Tomahto, and present its implementation on the Orbitrap Tribrid mass spectrometer platform. Importantly, this software monitors via the external desktop computer to the data stream and inserts optimized MS2 and MS3 scans in real time based on an application programming interface with the mass spectrometer. Hundreds of proteins of interest from diverse biological samples can be targeted and accurately quantified in a sensitive and high-throughput fashion. It achieves sensitivity comparable to, if not better than, deep fractionation and requires minimal total sample input (∼10 µg). As a proof-of-principle experiment, we selected four pathways important in metabolism- and inflammation-related processes (260 proteins/520 peptides) and measured their abundance across 90 samples (nine tissues from five old and five young mice) to explore effects of aging. Tissue-specific aging is presented here and we highlight the role of inflammation- and metabolism-related processes in white adipose tissue. We validated our approach through comparison with a global proteome survey across the tissues, work that we also provide as a general resource for the community.

Indexed as

SoftwareAgingAnimalsHigh-Throughput Screening AssaysInflammationMass SpectrometryMetabolic Networks and PathwaysMiceOrgan SpecificityPeptidesProteomeProteomicsPeptidesProteomeisobaric labelingreal-time instrument controltargeted pathway proteomicstissue-specific agingTomahto

Identifiers

PMID32332170
PMCPMC7211924
OpenAlexW3020263972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.