Evidence map›Paper›PMID 39400554›Full record

ArticleAging2024

A proteomics approach to study mouse long bones: examining baseline differences and mechanical loading-induced bone formation in young-adult and old mice.

Christopher J Chermside-Scabbo, John T Shuster, Petra Erdmann-Gilmore, Eric Tycksen, Qiang Zhang, R Reid Townsend, Matthew J Silva

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

7 authors.

Christopher J Chermside-ScabboDepartment of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
John T ShusterDepartment of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
Petra Erdmann-GilmoreDepartment of Medicine, Proteomics Core, Washington University School of Medicine, St. Louis, MO 63110, USA.
Eric TycksenDepartment of Genetics, McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
Qiang ZhangDepartment of Medicine, Proteomics Core, Washington University School of Medicine, St. Louis, MO 63110, USA.
R Reid TownsendDepartment of Medicine, Proteomics Core, Washington University School of Medicine, St. Louis, MO 63110, USA.
Matthew J SilvaDepartment of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
NATIONAL RESEARCH SERVICE AWARD-MEDICAL SCIENTISTT32GM007200 · NIGMS · WASHINGTON UNIVERSITY · PI YOKOYAMA, WAYNE M. · 1985 to 2024
$59.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
TrainingP41GM103422 · NIGMS · WASHINGTON UNIVERSITY · PI YARASHESKI, KEVIN E · 2012 to 2019
$12.0M
Response of the Osteoporotic Skeleton to Mechanical LoadingR01AR047867 · NIAMS · WASHINGTON UNIVERSITY · PI MATTHEW J SILVA · 2001 to 2026
$8.4M
Resource Based Center for Musculoskeletal Biology and Medicine (Overall Application)P30AR074992 · NIAMS · WASHINGTON UNIVERSITY · PI DEBORAH J VEIS · 2019 to 2026
$6.8M
A Biomedical Mass Spectrometry Resource: Ongoing Driving Biomedical ProjectsR24GM136766 · NIGMS · WASHINGTON UNIVERSITY · PI GROSS, MICHAEL L · 2020 to 2022
$2.3M
Restoring the Responsiveness of Aged Bone to Mechanical LoadingF30AG066310 · NIA · WASHINGTON UNIVERSITY · PI CHERMSIDE-SCABBO, CHRISTOPHER JOHN · 2019 to 2021
$113k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842NIAMS NIH HHS P30 AR074992NIAMS NIH HHS R01 AR047867NIA NIH HHS F30 AG066310NIGMS NIH HHS P41 GM103422NIGMS NIH HHS R24 GM136766NIGMS NIH HHS T32 GM007200
6 · The paper itself

Abstract

With aging, bone mass declines and the anabolic effects of skeletal loading diminish. While much research has focused on gene transcription, how bone ages and loses its mechanoresponsiveness at the protein level remains unclear. We developed a novel proteomics approach and performed a paired mass spectrometry and RNA-seq analysis on tibias from young-adult (5-month) and old (22-month) mice. We report the first correlation estimate between the bone proteome and transcriptome (Spearman

Indexed as

AgingOsteogenesisProteomicsAnimalsBone DensityMaleMiceMice, Inbred C57BLProteomeTibiaTissue Inhibitor of Metalloproteinase-2TranscriptomeWeight-BearingProteomeTissue Inhibitor of Metalloproteinase-2agingbonemechanical loadingproteomicsRNA-seq/transcriptomics

Identifiers

PMID39400554
PMCPMC11501390

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.