Dataset Information

Human bladder cancer and colon cancer quatitative MS/MS

ABSTRACT: We analyzed a set of 40 independently collected tumor tissue/control samples using a label-free quantitation single pass LC-MS/MS approach. In this set, 10 samples originated from a colon tumor (i.e. AC) and 10 from control non-malignant tissue samples (NCA), as well as 10 from BC samples and 10 from control bladder tissue (NCB) samples.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Colon, Urinary Bladder

DISEASE(S): Colon Cancer,Disease Free,Urinary Bladder Cancer

SUBMITTER: Michał Kistowski

LAB HEAD: Michał Dadlez

PROVIDER: PXD004249 | Pride | 2016-12-14

REPOSITORIES: pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 261

Publications

A Strong Neutrophil Elastase Proteolytic Fingerprint Marks the Carcinoma Tumor Proteome.

Kistowski Michał M Dębski Janusz J Karczmarski Jakub J Paziewska Agnieszka A Olędzki Jacek J Mikula Michał M Ostrowski Jerzy J Dadlez Michał M

Molecular & cellular proteomics : MCP 20161207 2

Proteolytic cascades are deeply involved in critical stages of cancer progression. During the course of peptide-wise analysis of shotgun proteomic data sets representative of colon adenocarcinoma (AC) and ulcerative colitis (UC), we detected a cancer-specific proteolytic fingerprint composed of a set of numerous protein fragments cleaved C-terminally to V, I, A, T, or C residues, significantly overrepresented in AC. A peptide set linked by a common VIATC cleavage consensus was the only prominent ...[more]

PMID: 27927741

Similar Datasets

Project description:Parkinson disease (PD) is a neurodegenerative disease characterized by the accumulation of alpha-synuclein (SNCA) and other proteins in aggregates termed âLewy Bodiesâ within neurons. PD has both genetic and environmental risk factors, and while processes leading to aberrant protein aggregation are unknown, past work points to abnormal levels of SNCA and other proteins. Although several genome-wide studies have been performed for PD, these have focused on DNA sequence variants by genome-wide association studies (GWAS) and on RNA levels (microarray transcriptomics), while genome-wide proteomics analysis has been lacking. After appropriate filters, proteomics identified 3,558 unique proteins and 283 of these (7.9%) were significantly different between PD and controls (q-value<0.05). RNA-sequencing identified 17,580 protein-coding genes and 1,095 of these (6.2%) were significantly different (FDR p-value<0.05), but only 166 of the FDR significant protein-coding genes (0.94%) were present among the 3,558 proteins characterized. Of these 166, eight genes (4.8%) were significant in both studies, with the same direction of effect. Functional enrichment analysis of the proteomics results strongly supports mitochondrial-related pathways, while comparable analysis of the RNA-sequencing results implicates protein folding pathways and metallothioneins. Ten of the implicated genes or proteins co-localized to GWAS loci. Evidence implicating SNCA was stronger in proteomics than in RNA-sequencing analyses. Notably, differentially expressed protein-coding genes were more likely to not be characterized in the proteomics analysis, which lessens the ability to compare across platforms. Combining multiple genome-wide platforms offers novel insights into the pathological processes responsible for this disease by identifying pathways implicated across methodologies. The study consists of mRNA-Seq (29 PD, 44 neurologically normal controls) and three-stage Mass Spectrometry Tandem Mass Tag Proteomics (12 PD, 12 neurologically normal controls) performed in post-mortem BA9 brain tissue. The proteomics samples are a subset of the RNA-Seq samples.

Project description:Intense immunosuppression followed by autologous hematopoietic stem cell transplantation (aHSCT) is a potential treatment for patients suffering from aggressive multiple sclerosis (MS). However it remains unresolved whether autologous CD34+ hematopoietic progenitor cells of MS patients show gene expression differences prior to aHSCT that indicate a preset proinflammatory state, which would then also predispose to or predetermine recurrence of the autoimmune disease. To approach this key point we compared the gene expression signature of CD34+ and CD34- cells collected from MS patients and healthy donors (HD). Whole genome gene expression of CD34+ and CD34- cells was analysed with the Human 4x44K Design Array (Agilent-Technologies). As main observation we found only minor differences in the gene expression signature of MS patients compared to HD. Only a single gene, troponin-type-1 (TNNT1), reached statistical significance after correction for multiple comparisons (logFC=3.1, p<0.01). There was a decreased expression of several protease genes, myeloperoxidase (MPO), neutrophil-elastase (ELA2), cathepsin-G (CTSG) and serine-protease 21 (PRSS21) in HPCs of MS patients, albeit not reaching statistical significance. In summary we did not detect substantial alterations in the gene expression profile of CD34+ HPCs in MS. Our data support the use of autologous hematopoietic stem cell transplantation for treatment of an autoimmune disease. Samples of CD34+ cells were obtained from 4 female MS patients and 4 age matched healthy donors (3 female) mobilized by G-CSF (2x5M-NM-<g/kg/day) and 4 MS patients (2 female) mobilized by G-CSF (5M-NM-<g/kg/day) plus Cyclophosphamide (Cy, 4g/m2). White blood cells, containing the CD34+ cell fraction, were collected by leucocytapheresis from peripheral blood, frozen and stored in liquid nitrogen. All samples were thawed and processed at one center and CD34+ HPCs purified by magnetic bead separation using the autoMACS system (Miltenyi). Purity and viability of CD34+ cells was analyzed by Fluorescence Activated Cell Sorter (FACS). Total cellular RNA were extracted with TRIzol reagent and analyzed with the Human 4x44K Design Array (Agilent-Technologies).

			Action	DRS
	30211kuba_JG_cid.raw	Raw
	30211kuba_JG_hcd.raw	Raw
	30211kuba_Pe_cid.raw	Raw
	30211kuba_Pe_hcd.raw	Raw
	30211kuba_RJG_cid.raw	Raw