Evidence map›Paper›PMID 36769148›Full record

ArticleInternational journal of molecular sciences2023

Deciphering the Kidney Matrisome: Identification and Quantification of Renal Extracellular Matrix Proteins in Healthy Mice.

Umut Rende, Seong Beom Ahn, Subash Adhikari, Edward S X Moh, Carol A Pollock, Sonia Saad, Anna Guller

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Nanoparticles in the Treatment of Renal Fibrosis.International journal of nanomedicine · 2026
    Review
  6. Article
  7. Article
  8. Review
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.

Umut RendeARC Centre of Excellence in Nanoscale Biophotonics, The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0001-5808-0515
Seong Beom AhnMacquarie Medical School, Macquarie University, Macquarie Park, NSW 2109, Australia.
Subash AdhikariMacquarie Medical School, Macquarie University, Macquarie Park, NSW 2109, Australia.ORCID 0000-0001-5945-7804
Edward S X MohARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW 2109, Australia.
Carol A PollockDepartment of Medicine, Kolling Institute of Medical Research, University of Sydney, St. Leonards, NSW 2065, Australia.
Sonia SaadDepartment of Medicine, Kolling Institute of Medical Research, University of Sydney, St. Leonards, NSW 2065, Australia.
Anna GullerARC Centre of Excellence in Nanoscale Biophotonics, The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-8866-9838

Funding

NSW HEALTH DEPARTMENT, UNSW AND PHARMAXIS LTD. NSW Health PhD Partnership Program Scholarship
6 · The paper itself

Abstract

Precise characterization of a tissue's extracellular matrix (ECM) protein composition (matrisome) is essential for biomedicine. However, ECM protein extraction that requires organ-specific optimization is still a major limiting factor in matrisome studies. In particular, the matrisome of mouse kidneys is still understudied, despite mouse models being crucial for renal research. Here, we comprehensively characterized the matrisome of kidneys in healthy C57BL/6 mice using two ECM extraction methods in combination with liquid chromatography tandem mass spectrometry (LC-MS/MS), protein identification, and label-free quantification (LFQ) using MaxQuant. We identified 113 matrisome proteins, including 22 proteins that have not been previously listed in the Matrisome Database. Depending on the extraction approach, the core matrisome (structural proteins) comprised 45% or 73% of kidney ECM proteins, and was dominated by glycoproteins, followed by collagens and proteoglycans. Among matrisome-associated proteins, ECM regulators had the highest LFQ intensities, followed by ECM-affiliated proteins and secreted factors. The identified kidney ECM proteins were primarily involved in cellular, developmental and metabolic processes, as well as in molecular binding and regulation of catalytic and structural molecules' activity. We also performed in silico comparative analysis of the kidney matrisome composition in humans and mice based on publicly available data. These results contribute to the first reference database for the mouse renal matrisome.

Indexed as

Extracellular Matrix ProteinsTandem Mass SpectrometryAnimalsChromatography, LiquidExtracellular MatrixHumansKidneyMiceMice, Inbred C57BLExtracellular Matrix Proteinsextracellular matrixkidneyslabel-free quantification (LFQ) of proteinsmass spectrometrymatrisomemouseprotein identificationproteomicstissue extraction

Identifiers

PMID36769148
PMCPMC9917693

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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.