Evidence map›Paper›PMID 33543016›Full record

ArticleMatrix biology plus2020

Proteomic fingerprints of damage in extracellular matrix assemblies.

Alexander Eckersley, Matiss Ozols, Ronan O'Cualain, Emma-Jayne Keevill, April Foster, Suzanne Pilkington, David Knight, Christopher E M Griffiths, Rachel E B Watson, Michael J Sherratt

Open access · goldAbstract read
In one paragraph

Article in Matrix biology plus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. X-Ray Exposure Induces Structural Changes in Human Breast Proteins.International journal of molecular sciences · 2025
    Article
  6. Dressed in Collagen: 2D and 3D Cardiac Fibrosis Models.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Article
  9. Peptide location fingerprinting identifies structural alterations within basement membrane components in ageing kidney.Matrix biology : journal of the International Society for Matrix Biology · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Predicting Proteolysis in Complex Proteomes Using Deep Learning.International journal of molecular sciences · 2021
    Article
  15. Complexity of matrix phenotypes.Matrix biology plus · 2020
    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

10 authors at 3 institutions in 1 country.

Alexander EckersleyDivision of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Matiss OzolsDivision of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Ronan O'CualainBiological Mass Spectrometry Core Research Facility, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Emma-Jayne KeevillBiological Mass Spectrometry Core Research Facility, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
April FosterDivision of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Suzanne PilkingtonDivision of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
David KnightBiological Mass Spectrometry Core Research Facility, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Christopher E M GriffithsDivision of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Rachel E B WatsonDivision of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Michael J SherrattDivision of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
University of Manchester · GBHenry Royce Institute · GBNIHR Manchester Biomedical Research Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In contrast to the dynamic intracellular environment, structural extracellular matrix (ECM) proteins with half-lives measured in decades, are susceptible to accumulating damage. Whilst conventional approaches such as histology, immunohistochemistry and mass spectrometry are able to identify age- and disease-related changes in protein abundance or distribution, these techniques are poorly suited to characterising molecular damage. We have previously shown that mass spectrometry can detect tissue-specific differences in the proteolytic susceptibility of protein regions within fibrillin-1 and collagen VI alpha-3. Here, we present a novel proteomic approach to detect damage-induced "peptide fingerprints" within complex multi-component ECM assemblies (fibrillin and collagen VI microfibrils) following their exposure to ultraviolet radiation (UVR) by broadband UVB or solar simulated radiation (SSR). These assemblies were chosen because, in chronically photoaged skin, fibrillin and collagen VI microfibril architectures are differentially susceptible to UVR. In this study, atomic force microscopy revealed that fibrillin microfibril ultrastructure was significantly altered by UVR exposure whereas the ultrastructure of collagen VI microfibrils was resistant. UVR-induced molecular damage was further characterised by proteolytic peptide generation with elastase followed by liquid chromatography tandem mass spectrometry (LC-MS/MS). Peptide mapping revealed that UVR exposure increased regional proteolytic susceptibility within the protein structures of fibrillin-1 and collagen VI alpha-3. This allowed the identification of UVR-induced molecular changes within these two key ECM assemblies. Additionally, similar changes were observed within protein regions of co-purifying, microfibril-associated receptors integrins αv and β1. This study demonstrates that LC-MS/MS mapping of peptides enables the characterisation of molecular post-translational damage (via direct irradiation and radiation-induced oxidative mechanisms) within a complex in vitro model system. This peptide fingerprinting approach reliably allows both the identification of UVR-induced molecular damage in and between proteins and the identification of specific protein domains with increased proteolytic susceptibility as a result of photo-denaturation. This has the potential to serve as a sensitive method of identifying accumulated molecular damage in vivo using conventional mass spectrometry data-sets.

Indexed as

AFM, atomic force microscopyCOL6A3, collagen VI alpha 3 chainCollagen VI microfibrilECM, extracellular matrixEGF, epidermal growth factor domainFibrillin microfibrilHDF, human dermal fibroblastLC-MS/MS, liquid chromatography tandem mass spectrometryMass spectrometryPhotodamagePSM, peptide spectrum matchROS, reactive oxygen speciesSSR, solar simulated radiationTGFβ, transforming growth factor betaUltraviolet radiationUVR, ultraviolet radiationvWA, von Willebrand factor type A domain

Identifiers

PMID33543016
PMCPMC7852314
OpenAlexW3004255584

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.