Evidence map›Paper›PMID 40092628›Full record

ArticleFrontiers in cell and developmental biology2025

Comprehensive analysis of the effects of

Vivek Sarohi

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Vivek SarohiSchool of Biosciences and Bioengineering (SBB), Indian Institute of Technology (IIT)- Mandi, Mandi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Collagens, the most abundant proteins in mammals, play pivotal roles in maintaining tissue structure, functions, cell-to-cell communication, cellular migration, cellular behavior, and growth. Structures of collagens are highly complex due to the presence of dynamic post-translational modifications (PTMs), such as hydroxylations (on prolines and lysine residues) and O-glycosylation (on hydroxylysines) enzymatically catalyzed during biosynthesis in the endoplasmic reticulum. Collagen PTMs are essential for maintaining structural stability, elasticity, and different functions of collagens. The most prevalent modification in fibrillar collagens is prolyl 4-hydroxylation catalyzed by collagen prolyl 4-hydroxylases (C-P4Hs). Prolyl 4-hydroxylation on collagens plays a critical role in collagen biosynthesis, thermostability, and cell-collagen interactions. Collagens are large proteins. Different regions of collagen perform different functions, so the presence or absence of a PTM on a particular collagen site can affect its functioning. However, comprehensive site-specific identification of these PTMs on fibrillar collagen chains of mice skin has not been performed yet. Furthermore, the effects of prolyl 4-hydroxylase alpha 1 (P4HA1) and P4HA2 on 3-hydroxyproline, 5-hydroxylysine, and O-glycosylation sites of fibrillar collagen chains have not yet been explored. Methodology: This study presents a comprehensive PTM analysis of fibrillar collagen chains extracted from the skin of different mutants of C-P4Hs ( Results and discussion: A total of 421 site-specific PTMs were identified on fibrillar collagen chains (COL1A1, COL1A2, and COL3A1) extracted from wild-type mice skin. A total of 23 P4HA1-specific and seven P4HA2-specific 4-hydroxyproline sites on fibrillar collagen chains were identified. Moreover, it was found that the

Indexed as

collagen PTMslysyl 5-hydroxylationO-glycosylationprolyl 3-hydroxylationprolyl 4-hydroxylation

Identifiers

PMID40092628
PMCPMC11906473

What OpenQuestion holds

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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.