Proteomics

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Quantitative proteomic analysis of keloid scars and normal skin tissues

ABSTRACT: Keloid scars is a pathologic fibro-proliferative disorders of the skin, which exhibit abnormal phenotypes including fibroblasts proliferation and collagen deposits. There have been several treatments of keloids including conventional surgical therapies and adjuvant therapies, but a high recurrence rate of keloids was also observed after treatment. Quantitative proteomics approach has been proved an efficient approach to investigate pathological mechanism and novel biomarkers. In this study, we present a label-free quantitative proteomics analysis to explore differential protein expression profiles in normal skin and keloid scar tissues based on nano-liquid chromatography and tandem mass spectrometry (Nano-LC–MS/MS). The study results displayed a more comprehensive keloid protein expression landscape and provided novel pathological insight of keloid.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Skin

SUBMITTER: Jia Mi  

LAB HEAD: Quantitative proteomic analysis of keloid scars and normal skin tissues

PROVIDER: PXD029631 | Pride | 2023-03-11

REPOSITORIES: Pride

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Quantitative proteomics approach reveals novel biomarkers and pathological mechanism of keloid.

Liu Jian J   Yang Chunhua C   Zhang Huayu H   Hu Wei W   Bergquist Jonas J   Wang Helen H   Deng Tingzhi T   Yang Xueling X   Zhang Chao C   Zhu Yanping Y   Chi Xiaodong X   Mi Jia J   Wang Yibing Y  

Proteomics. Clinical applications 20220426 4

<h4>Background</h4>Keloid is a pathological skin scar formation with complex and unclear molecular pathology mechanism. Novel biomarkers and associated mechanisms are needed to improve current therapies.<h4>Objectives</h4>To identify novel biomarkers and underlying pathological mechanisms of keloids.<h4>Methods</h4>Six pairs of keloid scar tissues and corresponding normal skin tissues were quantitatively analyzed by a high-resolution label-free mass spectrometry-based proteomics approach. Differ  ...[more]

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