Dataset Information

LC-MS/MS analysis of Daoy and UW228 medulloblastoma cell lines

ABSTRACT: The goal of this study was to profile the total proteome and transcriptome of the established medulloblastoma cell lines, Daoy and UW228, using label-free nano-LC-MS/MS-based quantitative proteomics and high-throughput RNA sequencing (RNA-Seq), coupled with pathway analysis to identify differentially expressed genes, proteins and signaling pathways with potential as prognostic markers. A total of 14250 and 12870 transcripts were detected for Daoy and UW228, respectively. Proteomic profiling identified 2630 and 1235 proteins in Daoy and UW228, representing 18% and 10% of detected transcripts, respectively. Interestingly, Daoy proteome included >50% unique proteins, while almost 90% of proteins expressed by UW228 were commonly expressed in Daoy. Differential expression of a number of adhesion, cytoskeletal and signaling molecules were observed between the two cell lines. Upregulation of a number of proteins and enrichment of key signaling pathways, including WNT, Sonic hedgehog (SHH) and integrin signaling pathways, were uniquely observed in MB cell lines, in particular in Daoy.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Brain Cancer

SUBMITTER: Susan Fanayan

LAB HEAD: Susan Fanayan

PROVIDER: PXD002659 | Pride | 2017-10-27

REPOSITORIES: Pride

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Publications

Integrated Proteomic and Transcriptomic-Based Approaches to Identifying Signature Biomarkers and Pathways for Elucidation of Daoy and UW228 Subtypes.

Higdon Roger R Kala Jessie J Wilkins Devan D Yan Julia Fangfei JF Sethi Manveen K MK Lin Liang L Liu Siqi S Montague Elizabeth E Janko Imre I Choiniere John J Kolker Natali N Hancock William S WS Kolker Eugene E Fanayan Susan S

Proteomes 20170203 1

Medulloblastoma (MB) is the most common malignant pediatric brain tumor. Patient survival has remained largely the same for the past 20 years, with therapies causing significant health, cognitive, behavioral and developmental complications for those who survive the tumor. In this study, we profiled the total transcriptome and proteome of two established MB cell lines, Daoy and UW228, using high-throughput RNA sequencing (RNA-Seq) and label-free nano-LC-MS/MS-based quantitative proteomics, couple ...[more]

PMID: 28248256

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Project description:Sivakumar2011 - Hedgehog Signaling Pathway This is the current model for the Hedgehog signaling pathway. The best data for mechanism of signaling has been worked out in Drosophila, so this model is based largely on Drosophila data. Hedgehog target genes vary from tissue to tissue, so the identities of individual target genes have not been listed. The main difference between the Drosophila and mammalian Hedgehog signaling pathways is the fact that there are three mammalian homologs of Cubitus interruptus, Gli1 Gli2 and Gli3. Some or all of the mammalian homologs may be proteolytically processed, but the data are controversial. There are two mammalian Ptc genes and three mammalian Hedgehog genes as well. The pathway for Sonic Hedgehog appears to be most similar to the Drosophila hedgehog pathway. References: Hedgehog signaling in animal development: paradigms and principles. Sonic hedgehog in the nervous system: functions, modifications and mechanisms. Hedgehog signal transduction: recent findings. Hedgehog signaling: Costal-2 bridges the transduction gap. This model is described in the article: A systems biology approach to model neural stem cell regulation by notch, shh, wnt, and EGF signaling pathways. Sivakumar KC, Dhanesh SB, Shobana S, James J, Mundayoor S. Omics: a Journal of Integrative Biology. 2011; 15(10):729-737 Abstract: The Notch, Sonic Hedgehog (Shh), Wnt, and EGF pathways have long been known to influence cell fate specification in the developing nervous system. Here we attempted to evaluate the contemporary knowledge about neural stem cell differentiation promoted by various drug-based regulations through a systems biology approach. Our model showed the phenomenon of DAPT-mediated antagonism of Enhancer of split [E(spl)] genes and enhancement of Shh target genes by a SAG agonist that were effectively demonstrated computationally and were consistent with experimental studies. However, in the case of model simulation of Wnt and EGF pathways, the model network did not supply any concurrent results with experimental data despite the fact that drugs were added at the appropriate positions. This paves insight into the potential of crosstalks between pathways considered in our study. Therefore, we manually developed a map of signaling crosstalk, which included the species connected by representatives from Notch, Shh, Wnt, and EGF pathways and highlighted the regulation of a single target gene, Hes-1, based on drug-induced simulations. These simulations provided results that matched with experimental studies. Therefore, these signaling crosstalk models complement as a tool toward the discovery of novel regulatory processes involved in neural stem cell maintenance, proliferation, and differentiation during mammalian central nervous system development. To our knowledge, this is the first report of a simple crosstalk map that highlights the differential regulation of neural stem cell differentiation and underscores the flow of positive and negative regulatory signals modulated by drugs. This model is hosted on BioModels Database and identified by: BIOMD0000000395. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

LC-MS/MS analysis of Daoy and UW228 medulloblastoma cell lines

Publications

Integrated Proteomic and Transcriptomic-Based Approaches to Identifying Signature Biomarkers and Pathways for Elucidation of Daoy and UW228 Subtypes.

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