Evidence map›Paper›PMID 42353332›Full record

ArticleInternational journal of molecular sciences2026

High-Level Secretory Expression of Recombinant Type XVII Human-like Collagen in

Yixuan Jia, Junhao Yue, Wanting Wu, Weirui Zhao, Sheng Hu, Lehe Mei, Peilian Wei, Changjiang Lyu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yixuan JiaSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Junhao YueSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Wanting WuSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Weirui ZhaoSchool of Biological and Chemical Engineering, Ningbo Tech University, Ningbo 315100, China.
Sheng HuSchool of Biological and Chemical Engineering, Ningbo Tech University, Ningbo 315100, China.ORCID 0009-0008-6467-4262
Lehe MeiSchool of Biological and Chemical Engineering, Ningbo Tech University, Ningbo 315100, China.
Peilian WeiSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Changjiang LyuSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.

Funding

Ministry of Natural Resources HY202305National Natural Science Foundation of China 32371542Tianjin Institute of Industrial Biotechnology (No. 2021KF003)Zhejiang Provincial Natural Science Foundation LY23B060001
6 · The paper itself

Abstract

Type XVII collagen (COL17) is crucial for skin integrity but difficult to produce. To achieve high-level secretory expression, a human COL17 segment was designed and cloned into the pPIC9K vector with six different α-mating factor signal peptides and integrated into

Indexed as

AutoantigensNon-Fibrillar CollagensSaccharomycetalesCell ProliferationCollagen Type ICollagen Type I, alpha 1 ChainCollagen Type IIICollagen Type XVIIFibroblastsFilaggrin ProteinsHumansKeratinocytesMatrix Metalloproteinase 3Reactive Oxygen SpeciesRecombinant ProteinsUltraviolet RaysAutoantigensCOL3A1 protein, humanCollagen Type ICollagen Type I, alpha 1 ChainCollagen Type IIICollagen Type XVIIFilaggrin ProteinsFLG protein, humanMatrix Metalloproteinase 3Non-Fibrillar CollagensReactive Oxygen SpeciesRecombinant Proteinshuman foreskin fibroblastsimmortalized keratinocytesKomagataella phaffiisecretory expressiontype XVII collagen

Identifiers

PMID42353332
PMCPMC13299338

What OpenQuestion holds

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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.