MassIVE MSV000082941

Imported Reanalysis Dataset Public PXD006571

Aging-related proteome alterations in B cells may predispose for chronic lymphocytic leukemia - nuclear proteins of elderly B cells

Description

Chronic lymphocytic leukemia (CLL), the most common type of leukemia in adults, is still incurable despite the development of novel therapeutic strategies. This reflects the incomplete understanding of the pathophysiology of this disease. In order to get more detailed insights into CLL development, we performed a comprehensive proteome analysis of primary human CLL cells and B cells from young and age-matched healthy individuals. For comparison, we also analyzed the chronic B cell leukemia cell line JVM-13 showing rather limited similarity to the primary cells. A principal component analysis comprising 6945 proteins separated these four groups, placing B cells of aged-matched controls between those of young donors and CLL patients. Remarkably, B cells from aged controls displayed significant regulation of proteins related to metabolic processes and stress response in mitochondria such as DLAT, FIS1 and NDUFAB1 as well as DNA repair including RAD9A, MGMT and XPA. Interestingly, these alterations apparently correlating with aging of B cells may also be essential for tumorigenesis and were observed similarly in CLL cells. In CLL cells, in addition, some remarkable unique features like the loss of tumor suppressor molecules PNN and JARID2, and high expression of CCDC88A, PIGR and ID3 otherwise associated with epithelial mesenchymal transition and stemness were determined. Furthermore, while typical hallmarks of cancer such as cell proliferation were hardly apparent for CLL cells, alterations of metabolic enzymes were another outstanding feature in comparison to normal B cells, indicating increased beta-oxidation of fatty acids and increased consumption of glutamine. Targeted metabolomics assays corroborated these results. The present findings identify previously unrecognized features of CLL cells and suggest that aging may be accompanied by proteome alterations functionally relevant for predisposing B cells to transform to CLL cells. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Chronic lymphocytic leukemia ; primary human B lymphocytes ; shotgun proteomics ; aging ; glutaminolysis ; fatty acid beta oxidation ; Q Exactive orbitrap

Contact

Principal Investigators:
(in alphabetical order)
Christopher Gerner, University of Vienna, Faculty of Chemistry, Department of Analytical Chemistry, N/A
Submitting User: ccms

Publications

Mayer RL, Schwarzmeier JD, Gerner MC, Bileck A, Mader JC, Meier-Menches SM, Gerner SM, Schmetterer KG, Pukrop T, Reichle A, Slany A, Gerner C.
Proteomics and metabolomics identify molecular mechanisms of aging potentially predisposing for chronic lymphocytic leukemia.
Mol. Cell Proteomics. 2018 Feb;17(2):290-303. Epub 2017 Dec 1.

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 Browse Results
 
FTP Download Link (click to copy):

- 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.