PXD056149-1

PXD056149 is an original dataset announced via ProteomeXchange.

Title	Label-free Quantitative Proteomics Identifies Novel Plasma Biomarkers for Distinguishing Pulmonary Tuberculosis and Latent Infection
Description	Lack of effective differential diagnostic methods between active tuberculosis (TB) and latent infection (LTBI) is still an obstacle for TB control. Furthermore, the molecular mechanism behind the progression from LTBI to active TB has been not elucidated until now. Therefore, we performed label-free quantitative proteomics to identify plasma biomarkers for discriminating pulmonary TB (PTB) from LTBI individuals. Atotal of 3 biological replicates for each of the groups were used for proteomic analysis. Each biological sample was composed of 5 individual plasma samples which were equally mixed. Mass spectrometry (MS)-based proteomics technologies are powerful tools used for large-scale protein identification and quantization. Among these techniques, label-free shotgun proteomics is highly effective for the identification of peptides and, subsequently, to obtain a global protein profile of a sample. Label-free shotgun proteomics provides a unique opportunity to measure peptides present in a sample and subsequently determine the abundance of the proteins across various samples. Notably, label-free shotgun proteomics is suitable for applications in complex biological systems and generates faster, cleaner and simpler results . Consequently, numerous researchers are employing label-free shotgun proteomics techniques for discovery studies. In total, 229 non-redundant proteins were identified based on the identification of one or more unique peptides. Differentially expressed proteins were defined as those that showed a fold change of greater than 2.0 or less than 0.5 in relative abundance and a P-value < 0.05. Based on these criteria, there were 59 differentially expressed proteins between PTB group and LTBI group, and 56 differentially expressed proteins between PTB group and HC group, respectively. A total of 31 overlapping proteins with significantly different expression level were identified in PTB patients, compared with LTBI individualsand healthy controls.
HostingRepository	iProX
AnnounceDate	2024-09-20
AnnouncementXML	Submission_2024-09-24_00:41:06.372.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Liping Pan
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	2024-09-24 00:40:48	ID requested
⏵ 1	2024-09-24 00:41:07	announced

Sun H, Pan L, Jia H, Zhang Z, Gao M, Huang M, Wang J, Sun Q, Wei R, Du B, Xing A, Zhang Z, Label-Free Quantitative Proteomics Identifies Novel Plasma Biomarkers for Distinguishing Pulmonary Tuberculosis and Latent Infection. Front Microbiol, 9():1267(2018) [pubmed]

submitter keyword: Active tuberculosis, latent infection, label-free quantitative proteomics, plasma protein

Liping Pan
contact affiliation	Beijing Chest Hospital, Capital Medical University
contact email	panliping2006@163.com
lab head
Liping Pan
contact affiliation	Beijing Chest Hospital, Capital Medical University.
contact email	panliping2006@163.com
dataset submitter

iProX dataset URI