Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

CDK8 knockdown in HT-29 cells and CDK8 & MED12 knockdown in R1 cells

ABSTRACT: This SuperSeries is composed of the following subset Series: GSE30815: CDK8 knockdown in HT-29 human colon cancer cells GSE30816: CDK8 and MED12 knockdown in R1 mouse ES cells Refer to individual Series

ORGANISM(S): Mus musculus

SUBMITTER: Adam Adler

PROVIDER: E-GEOD-30817 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

CDK8 maintains tumor dedifferentiation and embryonic stem cell pluripotency.

Adler Adam S AS McCleland Mark L ML Truong Tom T Lau Shari S Modrusan Zora Z Soukup Tim M TM Roose-Girma Merone M Blackwood Elizabeth M EM Firestein Ron R

Cancer research 20120216 8

CDK8 is a cyclin-dependent kinase that mediates transcriptional control of pathways linked to both cancer and stem cells. In this study, we show that CDK8 is required for both tumor growth and maintenance of tumor dedifferentiation in vivo and uncover a common role for CDK8 in controlling cancer and stem cell function. Acute CDK8 loss in vivo strongly inhibited tumor growth and promoted differentiation. Transcriptional profiling identified a set of embryonic stem cell-related genes that are acti ...[more]

PMID: 22345154

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Project description:The obese people with abnormal BMI are predisposed to insulin resistance and diabetes. At the same time, human subjects with obesity and high BMI that are otherwise insulin sensitive are an interesting group to study the underlying gene expression patterns which provide them with such protective phenotype. Objective: Insulin resistance (IR) is one of the earliest predictors of type 2 diabetes. However, diagnosis of IR is limited. High fat fed mouse models provide key insights into IR. We hypothesized that early features of IR are associated with persistent changes in gene expression (GE) and endeavoured to (a) develop novel methods for improving signal:noise in analysis of human GE using mouse models; (b) identify a GE motif that accurately diagnoses IR in humans; and (c) identify novel biology associated with IR in humans. Methods: We integrated human muscle GE data with longitudinal mouse GE data and developed an unbiased three-level cross-species analysis platform (single-gene, gene-set and networks) to generate a gene expression motif (GEM) indicative of IR. A logistic regression classification model validated GEM in 3 independent human datasets (n =115). Results: This GEM of 93 genes substantially improved diagnosis of IR compared to routine clinical measures across multiple independent datasets. Individuals misclassified by GEM possessed other metabolic features raising the possibility that they represent a separate metabolic subclass. The GEM was enriched in pathways previously implicated in insulin action and revealed novel associations between Î²-catenin and Jak1 and IR. Functional analyses using small molecule inhibitors showed an important role for these proteins in insulin action. Conclusions: This study shows that systems approaches for identifying molecular signatures provides a powerful way to stratify individuals into discrete metabolic groups. Moreover, we speculate that the Î²-catenin pathway may represent a novel biomarker for IR in humans that warrant future investigation. Gene expression from muscle biopsies of Lean, Obese insulin sensitive (OIS), Obese insulin resistant (OIR) and obese T2D patients (T2D) were compared for differential expression between the groups (n=7 in each group)

Dataset Information

CDK8 knockdown in HT-29 cells and CDK8 & MED12 knockdown in R1 cells

Publications

CDK8 maintains tumor dedifferentiation and embryonic stem cell pluripotency.

Similar Datasets

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