PXD005814 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Systematic Analysis of Cell-Type Differences in the Epithelial Secretome Reveals Insights Into Pathogenesis Of RSV-Induced Lower Respiratory Tract Infections |
Description | Lower respiratory tract infections (LRTI) from human Respiratory Syncytial Virus (RSV) are a significant cause of morbidity in children. A component of LRTI pathogenesis is due to signals generated by infected lower airway cells that alter lymphocyte populations and trigger airway remodeling. To obtain insights into this process, we applied an unbiased quantitative proteomics analysis of the RSV-induced epithelial secretory response in cells representative of the trachea (hBECs) vs small airway bronchiolar cells (hSAECs). A workflow was standardized initially using telomerase immortalized human epithelial cells that showed high reproducibility and cell-type differences in proteomic signatures of both secreted proteins and isolated nanoparticles (exosomes). Over half of secretome proteins were contained within exosomal, with the remainder originating from lysosomal and vaculolar compartments. We applied this workflow to three independently derived primary human cultures. 577 differentially expressed proteins from control supernatants and 966 differentially expressed proteins from RSV-infected cell supernatants were identified at a 1% false discovery rate (FDR). 15 proteins were unique to RSV-infected hBECs regulated by epithelial-specific ets homology factor (EHF). 106 proteins were unique to RSV-infected hSAECs enriched in proteins regulated by the NFB transcription factor. In this latter group, we independently validated the differential expression of Chemokine (C-C Motif) Ligand 20 (CCL20)/macrophage inducible protein (MIP)3, Thymic Stromal Lymphopoietin (TSLP) and chemokine (CC) ligand 3-like 1(CCL3-L1). CCL20/MIP3 is the most active mucin inducing factor in the RSV infected hSAEC secretome, and is differentially expressed in smaller airways in a mouse model of RSV infection. These studies provide insight into role of exosomal production in innate responses and regional differences in epithelial secretomes that participate in pathogenesis of RSV LRTI-induced airway remodeling. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:35:42.088.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Yingxin Zhao |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2017-01-31 04:02:18 | ID requested | |
1 | 2017-02-09 10:43:03 | announced | |
2 | 2017-03-13 03:19:34 | announced | Updated publication reference for PubMed record(s): 28258195. |
⏵ 3 | 2024-10-22 04:35:43 | announced | 2024-10-22: Updated project metadata. |
Publication List
Zhao Y, Jamaluddin M, Zhang Y, Sun H, Ivanciuc T, Garofalo RP, Brasier AR, Systematic Analysis of Cell-Type Differences in the Epithelial Secretome Reveals Insights into the Pathogenesis of Respiratory Syncytial Virus-Induced Lower Respiratory Tract Infections. J Immunol, 198(8):3345-3364(2017) [pubmed] |
10.4049/jimmunol.1601291; |
Keyword List
curator keyword: Biomedical |
submitter keyword: Secretome, RSV, Lower respiratory tract |
Contact List
Yingxin Zhao, Ph.D. |
contact affiliation | University of Texas Medical Branch |
contact email | yizhao@utmb.edu |
lab head | |
Yingxin Zhao |
contact affiliation | University of Texas Medical Branch |
contact email | yizhao@utmb.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD005814
- Label: PRIDE project
- Name: Systematic Analysis of Cell-Type Differences in the Epithelial Secretome Reveals Insights Into Pathogenesis Of RSV-Induced Lower Respiratory Tract Infections