Dataset Information

Metastatic pancreatic cancer signaling

ABSTRACT: Proteomic and signaling alterations among cells isolated from three sites of metastasis (liver, lung and peritoneum) from a single patient were studied using a SILAC-based quantitative proteomic strategy combined with a high resolution mass spectrometry.

INSTRUMENT(S): LTQ Orbitrap XL, LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

DISEASE(S): Pancreatic Ductal Adenocarcinoma

SUBMITTER: Akhilesh Pandey

LAB HEAD: Min-Sik Kim

PROVIDER: PXD000750 | Pride | 2014-08-13

REPOSITORIES: Pride

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Publications

Heterogeneity of pancreatic cancer metastases in a single patient revealed by quantitative proteomics.

Kim Min-Sik MS Zhong Yi Y Yachida Shinichi S Rajeshkumar N V NV Abel Melissa L ML Marimuthu Arivusudar A Mudgal Keshav K Hruban Ralph H RH Poling Justin S JS Tyner Jeffrey W JW Maitra Anirban A Iacobuzio-Donahue Christine A CA Pandey Akhilesh A

Molecular & cellular proteomics : MCP 20140603 11

Many patients with pancreatic cancer have metastases to distant organs at the time of initial presentation. Recent studies examining the evolution of pancreatic cancer at the genetic level have shown that clonal complexity of metastatic pancreatic cancer is already initiated within primary tumors, and organ-specific metastases are derived from different subclones. However, we do not yet understand to what extent the evolution of pancreatic cancer contributes to proteomic and signaling alteration ...[more]

PMID: 24895378

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Project description:Sweat glands play a fundamental role in thermal regulation in man, but the molecular mechanism of their development remains unknown. To initiate analyses, we compared the model of Eda mutant Tabby mice, in which sweat glands were not formed, to wild-type mice. We inferred developmental stages and critical genes based on observations at 7 time points spanning embryonic, postnatal and adult life. In wild-type footpads, sweat gland germs were detected at E17.5. The coiling of secretory portions started at postnatal day 1 (P1), and sweat gland formation was essentially complete by P5. Consistent with a controlled morphological progression, expression profiling revealed stage-specific gene expression changes. Similar to the development of hair follicles the other major skin appendage controlled by EDA sweat gland induction and initial progression was accompanied by Eda-dependent up-regulation of the Shh pathway. During the further development of sweat gland secretory portions, Foxa1 and Foxi1, not at all expressed in hair follicles, were progressively up-regulated in wild-type but not in Tabby footpads. Upon completion of wild-type development, Shh declined to Tabby levels, but Fox family genes remained at elevated levels in mature sweat glands. The results provide a framework for the further analysis of phased downstream regulation of gene action, possibly by a signaling cascade, in response to Eda. This SuperSeries is composed of the following subset Series: GSE14870: Requirement for Shh and Fox family genes at different stages in sweat gland development (E15.5) GSE14871: Requirement for Shh and Fox family genes at different stages in sweat gland development (E16.5) GSE14872: Requirement for Shh and Fox family genes at different stages in sweat gland development (E17.5) GSE14873: Requirement for Shh and Fox family genes at different stages in sweat gland development (P1) GSE14874: Requirement for Shh and Fox family genes at different stages in sweat gland development (P3) GSE14876: Requirement for Shh and Fox family genes at different stages in sweat gland development (P5) GSE14877: Requirement for Shh and Fox family genes at different stages in sweat gland development (Adult) To define target genes of Eda during sweat gland development, we carried out microarray experiments with mouse footpads that from 7 developmental time points including E15.5, E16.5, E17.5, P1, P3, P5 and 8 weeks of wild-type and Tabby mice. Refer to individual Series

Dataset Information

Metastatic pancreatic cancer signaling

Publications

Heterogeneity of pancreatic cancer metastases in a single patient revealed by quantitative proteomics.

Similar Datasets

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