Evidence map›Paper›PMID 33830638›Full record

ArticleAging cell2021

Peptide location fingerprinting reveals modification-associated biomarker candidates of ageing in human tissue proteomes.

Matiss Ozols, Alexander Eckersley, Kieran T Mellody, Venkatesh Mallikarjun, Stacey Warwood, Ronan O'Cualain, David Knight, Rachel E B Watson, Christopher E M Griffiths, Joe Swift and 1 more

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. X-Ray Exposure Induces Structural Changes in Human Breast Proteins.International journal of molecular sciences · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. 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
  11. Review
  12. Review
  13. Article
  14. Predicting Proteolysis in Complex Proteomes Using Deep Learning.International journal of molecular sciences · 2021
    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

11 authors at 3 institutions in 1 country.

Matiss OzolsDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.
Alexander EckersleyDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.ORCID 0000-0003-1602-4851
Kieran T MellodyDivision of Musculoskeletal & Dermatological Sciences, The University of Manchester, Manchester, UK.
Venkatesh MallikarjunDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.ORCID 0000-0002-0284-5205
Stacey WarwoodDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.
Ronan O'CualainDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.
David KnightDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.
Rachel E B WatsonDivision of Musculoskeletal & Dermatological Sciences, The University of Manchester, Manchester, UK.
Christopher E M GriffithsDivision of Musculoskeletal & Dermatological Sciences, The University of Manchester, Manchester, UK.
Joe SwiftDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.
Michael J SherrattDivision of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.ORCID 0000-0003-4759-6617
University of Manchester · GBManchester Academic Health Science Centre · GBWellcome Centre for Cell-Matrix Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although dysfunctional protein homeostasis (proteostasis) is a key factor in many age-related diseases, the untargeted identification of structurally modified proteins remains challenging. Peptide location fingerprinting is a proteomic analysis technique capable of identifying structural modification-associated differences in mass spectrometry (MS) data sets of complex biological samples. A new webtool (Manchester Peptide Location Fingerprinter), applied to photoaged and intrinsically aged skin proteomes, can relatively quantify peptides and map statistically significant differences to regions within protein structures. New photoageing biomarker candidates were identified in multiple pathways including extracellular matrix organisation (collagens and proteoglycans), protein synthesis and folding (ribosomal proteins and TRiC complex subunits), cornification (keratins) and hemidesmosome assembly (plectin and integrin α6β4). Crucially, peptide location fingerprinting uniquely identified 120 protein biomarker candidates in the dermis and 71 in the epidermis which were modified as a consequence of photoageing but did not differ significantly in relative abundance (measured by MS1 ion intensity). By applying peptide location fingerprinting to published MS data sets, (identifying biomarker candidates including collagen V and versican in ageing tendon) we demonstrate the potential of the MPLF webtool for biomarker discovery.

Indexed as

Skin AgingAgedBiomarkersChromatography, LiquidExtracellular MatrixHemidesmosomesHumansKeratinsMiddle AgedPeptide MappingPeptidesProtein BiosynthesisProteomeProteomicsSkinSoftwareBiomarkersKeratinsPeptidesProteomeageingbiomarkersmass spectrometrypeptide location fingerprintingphotoageingproteomicsskintendon

Identifiers

PMID33830638
PMCPMC8135079
OpenAlexW3150383037

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.