PXD029631

PXD029631 is an original dataset announced via ProteomeXchange.

Title	Quantitative proteomic analysis of keloid scars and normal skin tissues
Description	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.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:37:08.269.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Jia Mi
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2021-11-09 06:07:39	ID requested
1	2023-03-10 20:36:50	announced
⏵ 2	2023-11-14 08:37:09	announced	2023-11-14: Updated project metadata.

Liu J, Yang C, Zhang H, Hu W, Bergquist J, Wang H, Deng T, Yang X, Zhang C, Zhu Y, Chi X, Mi J, Wang Y, Quantitative proteomics approach reveals novel biomarkers and pathological mechanism of keloid. Proteomics Clin Appl, 16(4):e2100127(2022) [pubmed]

submitter keyword: keloids, proteomics, endoplasmic reticulum, LC-MS/MS，, bioinformatics

Quantitative proteomic analysis of keloid scars and normal skin tissues
contact affiliation	Precision Medicine Research Center, School of Pharmacy, Binzhou Medical University, Yantai, Shandong Province, 264003, PR China.
contact email	jia.mi@bzmc.edu.cn
lab head
Jia Mi
contact affiliation	Binzhou Medical University
contact email	jia.mi@bzmc.edu.cn
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2023/03/PXD029631

PRIDE project URI

• PRIDE
  1. PXD029631
     1. Label: PRIDE project
     2. Name: Quantitative proteomic analysis of keloid scars and normal skin tissues