PXD031302

PXD031302 is an original dataset announced via ProteomeXchange.

Title	Identification of nine signature proteins of gingival tissue involved in periodontitis by integrated analysis of TMT-proteomics
Description	Although a variety of omics studies from different tissues have been used to analyze periodontitis pathology and progression, lacks accurate signature molecules for periodontitis. This study aims to identify the potential signature molecules suitable for distinguish of patients with periodontitis using TMT-proteomics and artificial neural networks analysis. Gingival tissues were collected from one site of 15 systematically healthy individuals, in which 1 individuals have stage IV periodontitis and 4 have stage III periodontitis (Severe Periodontitis, SP), 5 stage II periodontitis (Mild Periodontitis, MP) and 5 periodontally-healthy (H). we first time carried out the protein profiles of gingival tissue in periodontitis and healthy individuals utilizing the quantitative TMT-proteomics and discovered 9 signature proteins involved in periodontitis by integrated analysis of proteomics and transcriptomics using LASSO and ANN analysis. This study provides a novel insight for potential signature molecules in gingival tissue to predict periodontitis.
HostingRepository	iProX
AnnounceDate	2022-01-28
AnnouncementXML	Submission_2022-10-09_00:11:40.224.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Wei Qiu
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	LTQ Orbitrap

Revision	Datetime	Status	ChangeLog Entry
0	2022-01-27 21:26:11	ID requested
1	2022-04-30 06:18:38	announced
⏵ 2	2022-10-09 00:11:41	announced	2022-10-09: Update publication information.

Liu W, Qiu W, Huang Z, Zhang K, Wu K, Deng K, Chen Y, Guo R, Wu B, Chen T, Fang F, Identification of nine signature proteins involved in periodontitis by integrated analysis of TMT proteomics and transcriptomics. Front Immunol, 13():963123(2022) [pubmed]

submitter keyword: Periodontitis, Gingiva, TMT-proteomics, LASSO, Artificial neural network, Inflammation and immune response, Signature proteins

Fuchun Fang
contact affiliation	Department of Stomatology of Nanfang Hospital, Southern Medical University
contact email	fangfuchun520@163.com
lab head
Wei Qiu
contact affiliation	Department of Stomatology of Nanfang Hospital, Southern Medical University
contact email	qiuweiandmj@163.com
dataset submitter

iProX dataset URI