Evidence map›Paper›PMID 33431665›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

The secretome mouse provides a genetic platform to delineate tissue-specific in vivo secretion.

Jie Liu, Ji Yong Jang, Mehdi Pirooznia, Shihui Liu, Toren Finkel

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

50 citing papers in PubMed, 57 citations in OpenAlex.

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  16. Dual CDK and MEK Inhibition potentiates CD8Journal of experimental & clinical cancer research : CR · 2025
    Article
  17. Precise andACS central science · 2025
    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

5 authors at 2 institutions in 1 country.

Jie LiuAging Institute, University of Pittsburgh School of Medicine/UPMC, Pittsburgh, PA 15219.ORCID 0000-0003-1549-2012
Ji Yong JangAging Institute, University of Pittsburgh School of Medicine/UPMC, Pittsburgh, PA 15219.ORCID 0000-0002-4679-688X
Mehdi PiroozniaBioinformatics and Computational Core Facility, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892.ORCID 0000-0002-4210-6458
Shihui LiuAging Institute, University of Pittsburgh School of Medicine/UPMC, Pittsburgh, PA 15219.ORCID 0000-0003-3444-1069
Toren FinkelAging Institute, University of Pittsburgh School of Medicine/UPMC, Pittsburgh, PA 15219; finkelt@pitt.edu.
University of Pittsburgh · USNational Heart Lung and Blood Institute · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Bioinformatics CoreZICHL006228 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI PIROOZNIA, MEHDI · 2017 to 2021
$6.6M
NIA NIH HHS P30 AG024827
6 · The paper itself

Abstract

At present, it remains difficult to deconvolute serum in order to identify the cell or tissue origin of a given circulating protein. Here, by exploiting the properties of proximity biotinylation, we describe a mouse model that enables the elucidation of the in vivo tissue-specific secretome. As an example, we demonstrate how we can readily identify in vivo endothelial-specific secretion as well as how this model allows for the characterization of muscle-derived serum proteins that either increase or decrease with exercise. This genetic platform should, therefore, be of wide utility in understanding normal and disease physiology and for the rational design of tissue-specific disease biomarkers.

Indexed as

ProteomicsAnimalsBiotinylationBlood ProteinsHumansMiceMuscle ProteinsOrgan SpecificityProteomeBlood ProteinsMuscle ProteinsProteomebiotinylationmouse modelprotein secretion

Identifiers

PMID33431665
PMCPMC7826384
OpenAlexW3120302377

What Socratic 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 Socratic graph.