MassIVE MSV000080696

Imported Reanalysis Dataset Public PXD003557

Human bladder cancer LC MS/MS

Subscribe Comment Reanalyze Spectra Add Reanalysis

Description

Urine is an ideal material to study and examine the bladder cancer (BCa) biomarkers, whereas exploration to the corresponding protein candidates is confronting technique challenges. Herein, we proposed a comprehensive strategy of searching the urine proteins related to BCa. The strategy consists of three core combinations, screening the candidates in the secreted proteins derived from the BCa cell lines and verifying them in the patient urines, defining the differential proteins through two-dimensional electrophoresis (2DE) and isobaric tags for relative and absolute quantitation (iTRAQ), and implementing quantitative analysis in profiling and targeting proteomics. The differential proteins were globally and quantitatively determined between the two typical cell lines of BCa, T24 and 5637, and the immortalized normal uroepithelium cell line, SV-HUC-1, while the BCa related proteins were verified between the relatively normal and patient urines. With proteomic survey combined with 2DE and iTRAQ, a total of 724 secreted proteins were identified as the BCa related proteins. With label-free quantitative proteomics, the 96 candidates were detected in the pooled urine samples. Furthermore, the multiple reaction monitoring (MRM)-based quantification was adapted to verify these urine proteins in individual urines that were collected from 23 BCa patients and 24 relative normal people, and resulted in the 10 urine proteins with significant abundance differences between the two groups. Of the potential indicators for BCa, analysis of receiver operating characteristics (ROC) revealed the combination of complement component 3 (CO3) and lactose dehydrogenase B (LDHB) was more sensitive and efficient to distinguish healthy and disease urine. The discovery of the indicative proteins of BCa through our strategy has thus paved an avenue to further validation of BCa biomarkers in urine. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: human ; bladder cancer ; LC MS/MS

Contact

Principal Investigators:
(in alphabetical order) 		Siqi Liu, CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chines Academy of Sciences, Beijing, China., N/A
Submitting User: ccms

Publications

Guo J, Ren Y, Hou G, Wen B, Xian F, Chen Z, Cui P, Xie Y, Zi J, Lin L, Wu S, Li Z, Wu L, Lou X, Liu S.
A Comprehensive Investigation toward the Indicative Proteins of Bladder Cancer in Urine: From Surveying Cell Secretomes to Verifying Urine Proteins.
J. Proteome Res. 2016 Jul 1;15(7):2164-77. Epub 2016 Jun 14.

Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

Species

Instrument

Modifications

- Dataset Reanalyses

+ Dataset History

Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.