Evidence map›Paper›PMID 38997817›Full record

ArticleJournal of integrative bioinformatics2024

Constructing networks for comparison of collagen types.

Valentin Wesp, Lukas Scholz, Janine M Ziermann-Canabarro, Stefan Schuster, Heiko Stark

Abstract readComparative Study
In one paragraph

Article in Journal of integrative bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Proteomic study for the prediction ofHistochemistry and cell biology · 2026
    Article
  2. Article
  3. Review
  4. Journal of thoracic disease · 2025
    Article
  5. 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

5 authors.

Valentin WespDepartment of Bioinformatics, 64341 Friedrich-Schiller-University Jena , Jena, Germany.ORCID https://orcid.org/0000-0002-8601-6032
Lukas ScholzDepartment of Bioinformatics, 64341 Friedrich-Schiller-University Jena , Jena, Germany.
Janine M Ziermann-CanabarroDepartment of Anatomy, Howard University College of Medicine, Washington, DC, USA.ORCID https://orcid.org/0000-0002-1264-9240
Stefan SchusterDepartment of Bioinformatics, 64341 Friedrich-Schiller-University Jena , Jena, Germany.ORCID https://orcid.org/0000-0003-2828-9355
Heiko StarkDepartment of Bioinformatics, 64341 Friedrich-Schiller-University Jena , Jena, Germany.ORCID https://orcid.org/0000-0001-6450-9744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collagens are structural proteins that are predominantly found in the extracellular matrix of multicellular animals, where they are mainly responsible for the stability and structural integrity of various tissues. All collagens contain polypeptide strands (α-chains). There are several types of collagens, some of which differ significantly in form, function, and tissue specificity. Because of their importance in clinical research, they are grouped into subdivisions, the so-called collagen families, and their sequences are often analysed. However, problems arise with highly homologous sequence segments. To increase the accuracy of collagen classification and prediction of their functions, the structure of these collagens and their expression in different tissues could result in a better focus on sequence segments of interest. Here, we analyse collagen families with different levels of conservation. As a result, clusters with high interconnectivity can be found, such as the fibrillar collagens, the COL4 network-forming collagens, and the COL9 FACITs. Furthermore, a large cluster between network-forming, FACIT, and COL28a1 α-chains is formed with COL6a3 as a major hub node. The formation of clusters also signifies, why it is important to always analyse the α-chains and why structural changes can have a wide range of effects on the body.

Indexed as

CollagenAmino Acid SequenceAnimalsHumansCollagenAlphaFoldcollagenhigh-confidence regionnetwork analysisα-chains

Identifiers

PMID38997817
PMCPMC11602231

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Registered trials

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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.