Evidence map›Paper›PMID 29721580›Full record

ArticleJournal of molecular evolution2018

Domain-Specific Proteogenomic Analysis of Collagens to Evaluate De Novo Sequencing Results and Database Information.

Anne J Kleinnijenhuis, Frédérique L van Holthoon

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Article in Journal of molecular evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

2 authors.

Anne J KleinnijenhuisTriskelion, Utrechtseweg 48, 3704 HE, Zeist, The Netherlands. anne.kleinnijenhuis@triskelion.nl.
Frédérique L van HolthoonTriskelion, Utrechtseweg 48, 3704 HE, Zeist, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collagen is an important structural protein and the most abundant protein in mammals. In several research fields, structural analysis of collagens is performed. Fibrillar collagens almost entirely consist of continuous repeats of GXY, where G is glycine, X is often proline or alanine and Y is often hydroxyproline or alanine. In the present study, the collagen structure was investigated in detail at the nucleotide, codon group, amino acid and target peptide level using sequence analyses. One of the most important findings was that a selection of codon groups is predominantly involved in amino acid changes between closely related collagens and that other change routes come up when collagens are less related. The findings of the sequence analyses were used to evaluate reported sequences of non-avian dinosaur species and database entries of duck and chicken collagen. The duck assessment was supported by an experimental data set, obtained by collagen extraction from duck skin and subsequent digestion and LC-MS analysis. It was found that database entries of chicken and duck collagen 3α1 contained unreliable features, such as missing parts, no continuous GXY pattern and too many interspecies differences. As an example, the erroneous nature of one of these unreliable features was confirmed experimentally using LC-MS. Finally, dino and bird collagen 1α1 were compared. The presented results will show that performing a domain-specific proteogenomic analysis provides very useful information to assess de novo sequencing results and database information of collagens. Furthermore, it offers deeper insight in the functional restrictions and routes of evolutionary divergence.

Indexed as

Databases, ProteinProteogenomicsSequence Analysis, ProteinAmino Acid SequenceAmphibiansAnimalsCodonCollagenDinosaursHumansProtein DomainsSpecies SpecificityCodonCollagenCollagenDe novo sequencingDomain-specificGXY domainLC-MSProteogenomics

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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.