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accession-icon E-MTAB-2839
Nucleosome plasticity during the cell cycle
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Nucleosome organization and dynamics play a central role in controlling the DNA accessibility to regulatory factors of many critical cellular functions, especially gene regulation. However, despite extensive studies, the main factors determining nucleosome positioning and its fluctuation during cell cycle still remain elusive. Here, we present a large-scale study of nucleosome plasticity throughout the cell cycle and its interplay with gene expression based on genome-wide nucleosome positioning and mRNA abundance. We have clusterized distinct nucleosome architectures around transcription start sites and replication origins and studied their dynamics during the cell cycle progression. The most significant cell cycle-dependent changes occur at G1-S and G2-M transitions due to a large changes in gene expression in cell cycle regulatory genes. Taken together, our accurate study provides a dynamic picture of chromatin organization along cell cycle and its interplay with gene expression.

Publication Title

No associated publication

Sample Metadata Fields

Treatment

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accession-icon GSE39320
Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE39318
Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems: TP53inp2 (DOR) RNAi knock-downs
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Type 2 diabetes (T2D) is a highly prevalent chronic metabolic disease with strong co-morbidity with obesity and cardiovascular diseases. There is growing evidence supporting that a crosstalk between mitochondria and the insulin-signaling cascade could be involved in the etiology of TD2 and insulin resistance. In this study, we investigated the molecular basis of this crosstalk by using systems biology approaches. We combined, filtered and interrogated different types of functional interaction data, such as direct protein-protein interactions, co-expression analyses and metabolic and signaling dependencies. As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems. The results of internal gene expression analysis of three independent experimental models of mitochondria and insulin signaling perturbations further support the connecting roles of these genes. In addition, we further assessed whether these genes are involved in the etiology of T2D using the largest genome-wide meta-analysis from the DIAGRAM consortium, involving 8,130 T2D cases and 38,987 controls. We found significant enrichment of T2D-associated SNPs in the genomic context of our linker genes, including four already confirmed and 14 additional SNPs, which when combined were also associated with increased fasting glucose levels according to MAGIC genome-wide meta-analysis (p = 2.8 x 10-7). This study highlights the potential of combining systems biology, experimental, and genome-wide meta-analyses mining for identifying novel genetic variants that increase vulnerability to complex diseases.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE39319
Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems: Pgc1b knock-out hearts
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Type 2 diabetes (T2D) is a highly prevalent chronic metabolic disease with strong co-morbidity with obesity and cardiovascular diseases. There is growing evidence supporting that a crosstalk between mitochondria and the insulin-signaling cascade could be involved in the etiology of TD2 and insulin resistance. In this study, we investigated the molecular basis of this crosstalk by using systems biology approaches. We combined, filtered and interrogated different types of functional interaction data, such as direct protein-protein interactions, co-expression analyses and metabolic and signaling dependencies. As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems. The results of internal gene expression analysis of three independent experimental models of mitochondria and insulin signaling perturbations further support the connecting roles of these genes. In addition, we further assessed whether these genes are involved in the etiology of T2D using the largest genome-wide meta-analysis from the DIAGRAM consortium, involving 8,130 T2D cases and 38,987 controls. We found significant enrichment of T2D-associated SNPs in the genomic context of our linker genes, including four already confirmed and 14 additional SNPs, which when combined were also associated with increased fasting glucose levels according to MAGIC genome-wide meta-analysis (p = 2.8 x 10-7). This study highlights the potential of combining systems biology, experimental, and genome-wide meta-analyses mining for identifying novel genetic variants that increase vulnerability to complex diseases.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE39317
Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems: chronic insulin treatment
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Type 2 diabetes (T2D) is a highly prevalent chronic metabolic disease with strong co-morbidity with obesity and cardiovascular diseases. There is growing evidence supporting that a crosstalk between mitochondria and the insulin-signaling cascade could be involved in the etiology of TD2 and insulin resistance. In this study, we investigated the molecular basis of this crosstalk by using systems biology approaches. We combined, filtered and interrogated different types of functional interaction data, such as direct protein-protein interactions, co-expression analyses and metabolic and signaling dependencies. As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems. The results of internal gene expression analysis of three independent experimental models of mitochondria and insulin signaling perturbations further support the connecting roles of these genes. In addition, we further assessed whether these genes are involved in the etiology of T2D using the largest genome-wide meta-analysis from the DIAGRAM consortium, involving 8,130 T2D cases and 38,987 controls. We found significant enrichment of T2D-associated SNPs in the genomic context of our linker genes, including four already confirmed and 14 additional SNPs, which when combined were also associated with increased fasting glucose levels according to MAGIC genome-wide meta-analysis (p = 2.8 x 10-7). This study highlights the potential of combining systems biology, experimental, and genome-wide meta-analyses mining for identifying novel genetic variants that increase vulnerability to complex diseases.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE31906
Genome wide gene expression profiles of distal colon from 5% DSS-treated mice after administration of various siRNA against TNFa.
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Differential gene expression assessed in siTNF-OMe-P treated animals showed significant correlation between improved colon integrity and clinical parameters of colitis with reduced TLR activation, tissue regeneration and reduced pro-inflammatory cytokines, as compared to all treatment groups.

Publication Title

Functionally enhanced siRNA targeting TNFα attenuates DSS-induced colitis and TLR-mediated immunostimulation in mice.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE24917
Genome wide gene expression profiles of Drosophila l(3)mbt larval brains and cultured tumors
  • organism-icon Drosophila melanogaster
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Mutants in the Drosophila gene lethal (3) malignant brain tumor cause malignant growth in the larval brain. This data shows the changes in gene expression profile associated to mutations in l(3)mbt, both in situ in third instar larval brains and in tumors cultured for 1 5 and 10 (T1, T5, T10) rounds of allograft culture

Publication Title

Ectopic expression of germline genes drives malignant brain tumor growth in Drosophila.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE56897
The transcription factor GATA6 allows self-renewal of colon adenoma stem cells by repressing BMP gene expression
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The transcription factor GATA6 enables self-renewal of colon adenoma stem cells by repressing BMP gene expression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE27081
Drosophila dKDM5/LID regulates H3K4me3 dynamics at the transcription start site of actively transcribed developmental genes
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

dKDM5/LID regulates H3K4me3 dynamics at the transcription-start site (TSS) of actively transcribed developmental genes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE93637
TP53INP2 knockdown in 3T3-L1 preadipocytes
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Excessive fat accumulation is a major risk factor for the development of type 2 diabetes.To determine the mechanisms by wich TP53INP2 regulates adipogenesis, gene expression profile was performed in TP53INP2-deficient 3T3-L1 cells at different stages of differentiation.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Time

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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