PXD063172

PXD063172 is an original dataset announced via ProteomeXchange.

Title	integrating transcriptomic, proteomic, and interactome identify potential therapeutic targets for COVID-19 and long COVID
Description	The dysregulation of human genes and proteins following SARS-CoV-2 infection significantly impacts the clinical symptoms and prognosis of COVID-19, particularly in immunocompromised individuals such as hematological tumor patients. Despite this, a comprehensive multi-omics understanding of human host immune responses remains incomplete. Here, we conducted a multi-omics analysis of 89 peripheral blood samples (RNA sequencing) and 98 serum samples (proteome mass spectrometry) from 52 COVID-19 patients, including hematological tumor patients and non-tumor individuals. By integrating transcriptomic, proteomic, and interactome data, we compared differentially expressed genes (DEGs) and proteins (DEPs) across infection stages and clinical outcomes to gain insights into the mechanisms of SARS-CoV-2 infection. Our analysis revealed distinct and overlapping transcriptomic and proteomic responses to SARS-CoV-2 infection. DEGs were predominantly associated with innate immune responses and viral processes, while DEPs were linked to actin cytoskeleton organization and protein kinase regulation. Notably, DEGs and DEPs often exhibited opposing regulatory patterns, suggesting post-transcriptional and post-translational mechanisms. Tumor patients showed more severe proteomic perturbations, with a higher proportion of DEPs functioning as key hub proteins in cellular networks. Network-based drug repositioning identified potential therapeutic targets, including HSPA8, SRC, STAT1, APOE, and APP. Clinical analysis indicated that long COVID patients experienced more severe coagulation abnormalities, immunosuppression, and myocardial injury, while acutely deceased patients exhibited abnormally activated immune responses. This study provides a comprehensive resource for understanding the molecular mechanisms of SARS-CoV-2 infection in hematological tumor patients. By integrating multi-omics data, we highlight the importance of proteomic changes in disease progression and identify potential therapeutic targets for COVID-19 and long COVID.
HostingRepository	iProX
AnnounceDate	2025-04-22
AnnouncementXML	Submission_2025-04-21_21:27:34.891.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Haohao Tang
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2025-04-21 21:27:17	ID requested
⏵ 1	2025-04-21 21:27:35	announced

Dataset with its publication pending

submitter keyword: COVID-19,long COVID,proteomic

Yang Chen
contact affiliation	Peking University Health Science Center
contact email	chenyang1816185048@bjmu.edu.cn
lab head
Haohao Tang
contact affiliation	Peking University Health Science Center
contact email	Tanghaohao0987@163.com
dataset submitter

iProX dataset URI