Evidence map›Paper›PMID 33251806›Full record

ArticleJournal of proteome research2021

Spatial Proteomic Approach to Characterize Skeletal Muscle Myofibers.

Katherine M Fomchenko, Elise M Walsh, Xiaoping Yang, Rohan X Verma, Brian L Lin, Tim O Nieuwenhuis, Arun H Patil, Karen Fox-Talbot, Matthew N McCall, David A Kass and 2 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

12 authors.

Katherine M FomchenkoDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Elise M WalshDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Xiaoping YangDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Rohan X VermaDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Brian L LinDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Tim O NieuwenhuisDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Arun H PatilDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Karen Fox-TalbotDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Matthew N McCallDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York 14642, United States.
David A KassDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Avi Z RosenbergDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.
Marc K HalushkaDepartment of Pathology, Johns Hopkins University School of Medicine, Ross Bldg. Rm 632B, 720 Rutland Avenue, Baltimore, Maryland 21205, United States.ORCID 0000-0002-7112-7389

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1985 to 2026
$42.8M
The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Fine Dissection of Atherosclerosis Microenvironment RNA ExpressionR01HL137811 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALUSHKA, MARC K · 2017 to 2020
$2.4M
xMD-miRNA-Seq estimates cell-specific miRNA expressionR01GM130564 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HALUSHKA, MARC K · 2018 to 2021
$1.2M
NCATS NIH HHS UL1 TR002001NCI NIH HHS P30 CA006973NHLBI NIH HHS R01 HL137811NIEHS NIH HHS P30 ES001247NIGMS NIH HHS R01 GM130564
6 · The paper itself

Abstract

Skeletal muscle myofibers have differential protein expression resulting in functionally distinct slow- and fast-twitch types. While certain protein classes are well-characterized, the depth of all proteins involved in this process is unknown. We utilized the Human Protein Atlas (HPA) and the HPASubC tool to classify mosaic expression patterns of staining across 49,600 unique tissue microarray (TMA) images using a visual proteomic approach. We identified 2164 proteins with potential mosaic expression, of which 1605 were categorized as "likely" or "real." This list included both well-known fiber-type-specific and novel proteins. A comparison of the 1605 mosaic proteins with a mass spectrometry (MS)-derived proteomic dataset of single human muscle fibers led to the assignment of 111 proteins to fiber types. We additionally used a multiplexed immunohistochemistry approach, a multiplexed RNA-ISH approach, and STRING v11 to further assign or suggest fiber types of newly characterized mosaic proteins. This visual proteomic analysis of mature skeletal muscle myofibers greatly expands the known repertoire of twitch-type-specific proteins.

Indexed as

Muscle Fibers, Slow-TwitchMuscular DiseasesHumansMuscle Fibers, Fast-TwitchMuscle, SkeletalProteomicsHuman Protein Atlasproteomicsskeletal muscletwitch

Identifiers

PMID33251806
PMCPMC8826490

What OpenQuestion holds

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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.