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A meta-analysis of microarray gene expression in mouse stem cells: redefining stemness.

ABSTRACT: While much progress has been made in understanding stem cell (SC) function, a complete description of the molecular mechanisms regulating SCs is not yet established. This lack of knowledge is a major barrier holding back the discovery of therapeutic uses of SCs. We investigated the value of a novel meta-analysis of microarray gene expression in mouse SCs to aid the elucidation of regulatory mechanisms common to SCs and particular SC types.We added value to previously published microarray gene expression data by characterizing the promoter type likely to regulate transcription. Promoters of up-regulated genes in SCs were characterized in terms of alternative promoter (AP) usage and CpG-richness, with the aim of correlating features known to affect transcriptional control with SC function. We found that SCs have a higher proportion of up-regulated genes using CpG-rich promoters compared with the negative controls. Comparing subsets of SC type with the controls a slightly different story unfolds. The differences between the proliferating adult SCs and the embryonic SCs versus the negative controls are statistically significant. Whilst the difference between the quiescent adult SCs compared with the negative controls is not. On examination of AP usage, no difference was observed between SCs and the controls. However, comparing the subsets of SC type with the controls, the quiescent adult SCs are found to up-regulate a larger proportion of genes that have APs compared to the controls and the converse is true for the proliferating adult SCs and the embryonic SCs.These findings suggest that looking at features associated with control of transcription is a promising future approach for characterizing "stemness" and that further investigations of stemness could benefit from separate considerations of different SC states. For example, "proliferating-stemness" is shown here, in terms of promoter usage, to be distinct from "quiescent-stemness".

SUBMITTER: Edwards YJ

PROVIDER: S-EPMC2444034 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature

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A meta-analysis of microarray gene expression in mouse stem cells: redefining stemness.

Edwards Yvonne J K YJ Bryson Kevin K Jones David T DT

PloS one 20080716 7

<h4>Background</h4>While much progress has been made in understanding stem cell (SC) function, a complete description of the molecular mechanisms regulating SCs is not yet established. This lack of knowledge is a major barrier holding back the discovery of therapeutic uses of SCs. We investigated the value of a novel meta-analysis of microarray gene expression in mouse SCs to aid the elucidation of regulatory mechanisms common to SCs and particular SC types.<h4>Methodology/principal findings</h4 ...[more]

PMID: 18628962

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Project description:BackgroundA vast amount of microarray data on transcriptomic response to injury has been collected so far. We designed the analysis in order to identify the genes displaying significant changes in expression after wounding in different organisms and tissues. This meta-analysis is the first study to compare gene expression profiles in response to wounding in as different tissues as heart, liver, skin, bones, and spinal cord, and species, including rat, mouse and human.ResultsWe collected available microarray transcriptomic profiles obtained from different tissue injury experiments and selected the genes showing a minimum twofold change in expression in response to wounding in prevailing number of experiments for each of five wound healing stages we distinguished: haemostasis & early inflammation, inflammation, early repair, late repair and remodelling. During the initial phases after wounding, haemostasis & early inflammation and inflammation, the transcriptomic responses showed little consistency between different tissues and experiments. For the later phases, wound repair and remodelling, we identified a number of genes displaying similar transcriptional responses in all examined tissues. As revealed by ontological analyses, activation of certain pathways was rather specific for selected phases of wound healing, such as e.g. responses to vitamin D pronounced during inflammation. Conversely, we observed induction of genes encoding inflammatory agents and extracellular matrix proteins in all wound healing phases. Further, we selected several genes differentially upregulated throughout different stages of wound response, including established factors of wound healing in addition to those previously unreported in this context such as PTPRC and AQP4.ConclusionsWe found that transcriptomic responses to wounding showed similar traits in a diverse selection of tissues including skin, muscles, internal organs and nervous system. Notably, we distinguished transcriptional induction of inflammatory genes not only in the initial response to wounding, but also later, during wound repair and tissue remodelling.

Project description:Due to the limited understanding of self-renewal and pluripotency related signaling in stem cells, extracting information from genome-wide expression data is not only important but also challenging. With the combined use of two methods, we analyzed a set of microarray data at 11 time points from three mouse embryonic stem cell lines cultivated with and without leukemia inhibitory factor (LIF) for 14 days. Albeit the expression of individual genes in signaling pathways was not noticeably different between cells cultivated with and without LIF, at gene-set level the expression of ERK/MAPK (but not JAK/STAT) and cell cycle related genes was found significantly enriched in cells cultivated with LIF. This indicates that the Ras/Raf/ERK pathway, in addition to JAK/STAT, may also be a key player to carry on external LIF signal into mouse embryonic stem cells to promote self-renewal. When data at the first 7 time points were compared with data at the last 4 time points, the expression of several cell cycle related gene sets was apparently enriched in all three cell lines, indicating the active cell proliferation in the first 2 days. Compared with the slight decay of Oct4/Nanog/Sox2 during the 14 days, the expression of cell differentiation genes such as Gata4/6 underwent a drastic increase, which indicates that the upregulated expression of cell differentiation genes may better reflect the loss of self renewal than the down regulated expression of the stemness indicators Oct4, Sox2 and Nanog. Apart from differential expression and gene set enrichment analyses, a clustering algorithm was also used to classify genes into co-expression clusters. The possible regulation of two clusters, whose expression was most changed during cell culture from very low to very high, was explored. The drastic changes of these genes, including Slc39a8 which was a potential indicator of cell differentiation, in contrast the slight changes of self-renewal genes, imply that differentiation may be the default fate of stem cells and self-renewal may rely on a maintenance mechanism. When that mechanism weakens, cell differentiation begins.

Dataset Information

A meta-analysis of microarray gene expression in mouse stem cells: redefining stemness.

Publications

A meta-analysis of microarray gene expression in mouse stem cells: redefining stemness.

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