Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Y79 retinoblastoma cell line surface proteome

ABSTRACT: The proteins on the surface of Y79 retinoblastoma cell line were analyzed by cell surface biotinylation and streptavidin affinity purification.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Cell Culture

DISEASE(S): Retinoblastoma

SUBMITTER: Yuzuru Shiio

LAB HEAD: Yuzuru Shiio

PROVIDER: PXD039517 | Pride | 2024-01-26

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Publications

Nitric oxide suppression by secreted frizzled-related protein 2 drives retinoblastoma.

Jayabal Panneerselvam P Zhou Fuchun F Ma Xiuye X Bondra Kathryn M KM Blackman Barron B Weintraub Susan T ST Chen Yidong Y Chévez-Barrios Patricia P Houghton Peter J PJ Gallie Brenda B Shiio Yuzuru Y

Cell reports 20230213 2

Retinoblastoma is a cancer of the infant retina primarily driven by loss of the Rb tumor suppressor gene, which is undruggable. Here, we report an autocrine signaling, mediated by secreted frizzled-related protein 2 (SFRP2), which suppresses nitric oxide and enables retinoblastoma growth. We show that coxsackievirus and adenovirus receptor (CXADR) is the cell-surface receptor for SFRP2 in retinoblastoma cells; that CXADR functions as a "dependence receptor," transmitting a growth-inhibitory sign ...[more]

PMID: 36773293

Similar Datasets

RB383 retinoblastoma cell line surface proteome

Project description:The proteins on the surface of RB383 retinoblastoma cell line were analyzed by cell surface biotinylation and streptavidin affinity purification.

2024-01-26 | PXD039518 | Pride

RB383 retinoblastoma cell line secretome

Project description:The proteins secreted from RB383 retinoblastoma cell line were analyzed by the GeLC-MS/MS approach.

2024-01-26 | PXD039516 | Pride

Y79 retinoblastoma cell line secretome

Project description:The proteins secreted from Y79 retinoblastoma cell line were analyzed by the GeLC-MS/MS approach.

2024-01-26 | PXD039515 | Pride

MGA interactome in 293T cells using affinity purification and mass spectrometry

Project description:Tandem affinity purification of MGA-interacting proteins and mass spectrometry

2021-07-06 | PXD025930 | Pride

Molecular evolution of sperm competition in mice

Project description:Sperm are amongst the most rapidly evolving cell types due, in part, to their central role in post-mating competitive reproductive success (sperm competition) and participation in coevolving male-female interactions. To establish the molecular basis of sperm divergence we have conducted a whole-cell, semi-quantitative proteomic approach to characterize sperm divergence in three closely related Mus species (musculus, spretus and spicilegus), which experience different regimes of sperm competition and exhibit remarkable variation in sperm production, energetics, motility and fertilization capacity.

2018-06-21 | PXD003376 | Pride

Comparing search algorithms - Visualizing and comparing results of different peptide identification methods

Project description:An approach to compare different peptide identification methods

2017-01-02 | PXD005118 | Pride

Characterization of Macrophage Galactose-type Lectin (MGL) ligands in colorectal cancer cell lines

Project description:Background The Ca2+-dependent C-type lectin receptor Macrophage Galactose-type Lectin (MGL) is highly expressed by tolerogenic dendritic cells (DC) and macrophages. MGL exhibits a high binding specificity for terminal alpha- and beta-linked GalNAc residues found in Tn, sTn and LacdiNAc antigens. These glycan epitopes are often overexpressed in colorectal cancer (CRC), and, as such, MGL can be used to discriminate tumor from the corresponding healthy tissues. Moreover, the high expression of MGL ligands is associated with poor disease-free survival in stage III of CRC tumors. Nonetheless, the glycoproteins expressed by tumor cells that are recognized by MGL have hitherto remained elusive. Methods Using a panel of three CRC cell lines (HCT116, HT29 and LS174T), recapitulating CRC diversity, we performed FACS staining and pull-down assays using a recombinant soluble form of MGL (and a mutant MGL as control) combined with mass spectrometry-based (glyco)proteomics. Results HCT116 and HT29, but not LS174T, are high MGL-binding CRC cell lines. On these cells, the major cell surface binding proteins are receptors (e.g. MET, PTK7, SORL1, PTPRF) and integrins (ITGB1, ITGA3). From these proteins, several N- and/or O-glycopeptides were identified, of which some carried either a LacdiNAc or Tn epitope.

2020-01-09 | PXD016726 | Pride

Mouse organ specific spectral library and DIA analysis of the plasma proteome

Project description:The plasma proteome is highly dynamic and variable, composed of proteins derived from surrounding tissues and cells. To investigate the complex processes that contribute to the plasma proteome homeostasis we developed a mass spectrometry based proteomics strategy to infer the origin of proteins detected in murine plasma. The strategy relies on the construction of a comprehensive protein tissue atlas from cells and highly vascularized organs using shotgun mass spectrometry. The protein tissue atlas was transformed to a spectral library for highly reproducible quantification of tissue specific proteins directly in plasma using SWATH-like data-independent mass spectrometry analysis. We show that the method can determine drastic changes of tissue specific protein profiles in blood plasma from mouse animal models with sepsis. The strategy can be extended to several other species advancing our understanding of the complex processes that contribute to the plasma proteome homeostasis.

2015-11-23 | PXD002896 | Pride

Expression data from retinoblastoma

Project description:Genomic losses on chromosome 16q are among the most frequent alterations found in retinoblastoma. In this study, Affymetrix GeneChip analyses along with LOH analysis of microsatellie markers was used to identify candidate tumor suppressor loci in a set of retinoblastoma. We used microarrays to identify genes differentially expressed in retinoblastoma with LOH on 16q (M19484, M22590, M22641, M22860) compared to retinoblastoma without alterations in this region (M20517, M22067, M22233, M23209, M23449, M23818, M23896, M23978) Keywords: Disease progression

2007-01-29 | GSE5222 | GEO

QUANTITATIVE PHOSPHOPROTEOMIC PROFILING OF PRIMARY RETINOBLASTOMA TUMORS

Project description:Retinoblastoma is a malignant tumor of the retina which most often occurs in children below 5 years of age with an incident rate of about 1 in 15,000 to 18,000 live births. Retinoblastoma is the first ever cancer that was reported to have a genetic basis. It occurs widely due to inactivating mutations in RB1 gene. Gene expression studies, copy number variation analysis, epigenetic profiling including miRNA and methylation of retinoblastoma has been carried to understand the disease mechanism and key players in the disease. Our group has earlier performed differential proteomics of retinoblastoma to identify proteins of therapeutic importance. However, there are no studies to understand the signalling mechanisms associated with retinoblastoma. Hence, global phosphoproteomics of retinoblastoma was carried out to identify signalling events associated with this cancer. Our study identified stress response proteins to be hyper phosphorylated which included H2AFX and sirtuin 1. In particular, Ser140 of H2AFX also known as gamma-H2AX was found to be hyperphosphorylated in retinoblastoma that indicated activation of DNA damage response pathways. We also observed activation of anti-apoptotic proteins in retinoblastoma compared to control. These observations showed activation of survival pathways and signalling networks activated in tumors.

2019-11-11 | PXD007228 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data