Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Microarray analysis of in vitro differentiation of adult human pancreatic progenitor cells

ABSTRACT: We have developed an in vitro culture system that allows us to expand progenitor cells from human islet preparations and differentiate them into insulin-producing cells. We noticed however, that cultures from individual islet preparations had very heterogeneous outcomes, from good differentiation to almost none. We therefore speculated that our progenitor cell cultures contained different kinds of cells and that the true endocrine progenitor cells are present in the successful cultures, but not in the unsuccessful ones. To address this issue and to begin to identify markers for the true endocrine progenitor cells we compared global gene expression between a very successful culture (final insulin-expression 10% of islets) and an unsuccessful one (final insulin-expression 0%). We also included RNA from freshly isolated islets for control purposes. The cultures from donor A yielded substantial differentiation, while the cultures from donor B showed no successful differentiation.

INSTRUMENT(S): G2500A Hewlett Packard

ORGANISM(S): Homo sapiens

SUBMITTER: Joel Habener

PROVIDER: E-MTAB-3050 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:In the past few years, mammary cancer initiating cells (CICs) have been identified in mouse and human as a subpopulation of tumor cells that selectively posses tumor initiation and self-renewal capacity and the ability to give rise to bulk populations of non-tumorigenic cancer cells progeny through differentiation. They could also be responsible for tumor progression, metastasis, resistance to therapy and recurrence. Thus, the understanding of the pathways regulating CIC self-renewal, differentiation and tumorigenicity represents an important task in the development of effective anticancer therapies. To detect the set of genes associated to CIC in our mouse breast cancer model we analysed three prototypic situations: TUBO cells grown in DMEM under adherent conditions (called TDA in GSE26517 and epithelial bulk in GSE21451), TUBO cells grown in mammosphere medium under adherent conditions (called TMA in GSE26517), TUBO cells grown in mammosphere medium under low-attachment conditions (called mammospheres p1 in GSE21451), i.e. the conditions used to support the formation of mammospheres. This analysis led to the identification of growth factors and immune system-related genes, including toll-like receptor 2 (TLR2). The inhibition of TLR2 signaling pathway strongly impaired mammosphere generation, demonstrating the involvement of TLR2 in CSC self-renewal. We profiled on MouseWG?6 v2.0 Illumina beadchips two independent experiments: ADHERENT (GSE26517) made by the comparison between TDA and TMA and SOSPENSION (part of GSE21451) made by the comparison between epithelial bulk and mammospheres p1. Mammosphere medium contains epidermal growth factor (EGF), insulin and basic fibroblast growth factor (bFGF) that may influence transcript expression in a way not necessarily related to the assembly of mammospheres. Therefore, following normalization and removal of those transcripts not expressed and not changing, we used the Integrative Correlation coefficient (IC, Parmigiani et al. Clin Cancer Res 2004, 10:2922–2927) as filter to remove genes only associate to growth factors present in the mammosphere medium under adherent growth conditions, i.e IC > 0.1. Differential gene expression was then assessed by regularized t?test (Smyth GK. Stat Appl Genet Mol Biol 2004, 3:Article3) comparing mammospheres p1 with respect to epithelial bulk, using an uncorrected p-value ? 0.05, together with an absolute log2 fold change threshold ?1.

Dataset Information

Microarray analysis of in vitro differentiation of adult human pancreatic progenitor cells

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure