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GSE76705
Homo sapiens
226 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
One of the most common smoking-related diseases, chronic obstructive pulmonary disease (COPD), results from a dysregulated, multi-tissue inflammatory response to cigarette smoke. We hypothesized that systemic inflammatory signals in genome-wide blood gene expression can identify clinically important COPD-related disease subtypes, and we leveraged pre-existing gene interaction networks to guide unsupervised clustering of blood microarray expression data. Using network-informed non-negative matrix factorization, we analyzed genome-wide blood gene expression from 229 former smokers in the ECLIPSE Study, and we identified novel, clinically relevant molecular subtypes of COPD. These network-informed clusters were more stable and more strongly associated with measures of lung structure and function than clusters derived from a network-nave approach, and they were associated with subtype-specific enrichment for inflammatory and protein catabolic pathways. These clusters were successfully reproduced in an independent sample of 135 smokers from the COPDGene Study.
Publication Title
COPD subtypes identified by network-based clustering of blood gene expression.
Sample Metadata Fields
Sex, Age
View Samples- Arabidopsis thaliana
- 8 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Heat stress is one of the most prominent and deleterious environmental threads affecting plant growth and development. Upon high temperatures, plants launch specialized gene expression programs that promote stress protection and survival. These programs involve global and specific changes at the transcriptional and translational levels. However the coordination of these processes and their specific role in the establishment of the heat stress response is not fully elucidated.
Publication Title
Analysis of genome-wide changes in the translatome of Arabidopsis seedlings subjected to heat stress.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
A microarray analysis (MA) on the F4/80+ CD11b+ macrophages (population P5) isolated from a pool of ipsilateral L4/L5 DRG in spared nerve injured WT and miR-21 cKO
Publication Title
Exosomal cargo including microRNA regulates sensory neuron to macrophage communication after nerve trauma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 14 Downloadable Samples
- 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- Homo sapiens
- 8 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Aberrant activation of WNT signaling and loss of BMP signals represent the two main alterations leading to the initiation of colorectal cancer (CRC). Here we screen for genes required for maintaining the tumor stem cell phenotype and identify the zinc-finger transcription factor GATA6 as key regulator of the WNT and BMP pathways in CRC. GATA6 directly drives the expression of LGR5 in adenoma stem cells while it restricts BMP signaling to differentiated tumor cells. Genetic deletion of Gata6 in mouse colon adenomas increases the levels of BMP factors, which signal to block self-renewal of tumor stem cells. In human tumors, GATA6 competes with beta-catenin/TCF4 for binding to a distal regulatory region of the BMP4 locus that has been previously linked to increased susceptibility to develop CRC. Hence, GATA6 creates a permissive environment for tumor stem cell expansion by controlling the major signaling pathways that influence CRC initiation.
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- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Aberrant activation of WNT signaling and loss of BMP signals represent the two main alterations leading to the initiation of colorectal cancer (CRC). Here we screen for genes required for maintaining the tumor stem cell phenotype and identify the zinc-finger transcription factor GATA6 as key regulator of the WNT and BMP pathways in CRC. GATA6 directly drives the expression of LGR5 in adenoma stem cells while it restricts BMP signaling to differentiated tumor cells. Genetic deletion of Gata6 in mouse colon adenomas increases the levels of BMP factors, which signal to block self-renewal of tumor stem cells. In human tumors, GATA6 competes with beta-catenin/TCF4 for binding to a distal regulatory region of the BMP4 locus that has been previously linked to increased susceptibility to develop CRC. Hence, GATA6 creates a permissive environment for tumor stem cell expansion by controlling the major signaling pathways that influence CRC initiation.
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- Mus musculus
- 6 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Genome-wide gene expression analysis on tibialis anterior muscle from 2-month-old nebulin SH3 domain deleted (NebSH3) mice compared to wildtype.
Publication Title
The nebulin SH3 domain is dispensable for normal skeletal muscle structure but is required for effective active load bearing in mouse.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 82 Downloadable Samples
Illumina HiSeq 2500
Description
BACKGROUND: The daily gene expression oscillations that underlie mammalian circadian rhythms show striking differences between tissues and involve post-transcriptional regulation. Both aspects remain poorly understood. We have used ribosome profiling to explore the contribution of translation efficiency to temporal gene expression in kidney, and contrasted our findings with liver data available from the same mice. RESULTS: Rhythmic translation of constantly abundant mRNAs affects largely nonoverlapping transcript sets with distinct phase clustering in the two organs. Moreover, tissue differences in translation efficiency modulate the timing and amount of protein biosynthesis from rhythmic mRNAs, consistent with organ-specificity in clock output gene repertoires and rhythmicity parameters. Our comprehensive datasets provided insights into translational control beyond temporal regulation. Between tissues, many transcripts show differences in translation efficiency, which are, however, of markedly smaller scale than mRNA abundance differences. Tissue-specific changes in translation efficiency are associated with specific transcript features and, intriguingly, globally counteracted and compensated transcript abundance variations, leading to higher similarity at the level of protein biosynthesis between both tissues. CONCLUSIONS: We show that tissue-specificity in rhythmic gene expression extends to the translatome and contributes to define the identities, the phases and the expression levels of rhythmic protein biosynthesis. Moreover, translational compensation of transcript abundance divergence leads to overall higher similarity at the level of protein production across organs. The unique resources provided through our study will serve to address fundamental questions of post-transcriptional control and differential gene expression in vivo. Overall design: A total of 48 mice were entrained under 12hours light:dark conditions for 2 weeks and also collected under 12hours light:dark. Mice were sacrificed every two hours during the 24 hours daily cycle. Two replicates per time point, each replicate is a pool of livers or kidneys from 2 animals.
Publication Title
Translational contributions to tissue specificity in rhythmic and constitutive gene expression.
Sample Metadata Fields
Sex, Cell line, Subject, Time
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The role of androgen in breast cancer development is not fully understood although androgen receptors (AR) have been identified in breast cancer clinical samples and cell lines. However the whole spectra of androgen actions cannot be accounted to the classic AR mode of action and the possible existence of a cell surface AR has been suggested. Indeed androgens like all steroids have been reported to trigger membrane initiated signaling activity and exert specific actions. Androgens acting on the membrane can rapidly activate kinase signaling pathways and ultimately could affect gene expression. However, the molecular nature of membrane androgen binding sites represents another major persisting question. In the present study, we investigated early transcriptional effects of testosterone and the impermeable testosterone-BSA conjugate, in two breast cancer cell lines, in an attempt to decipher specific genes modified in each case, providing evidences about specific membrane initiating actions. Our data indicate that the two agents tested affect the expression of several genes. A group of genes were commonly affected while others were uniquely modified by each agent. In MDA-MB-231 cells, that are AR negative, the majority of genes affected by testosterone were also affected by testosterone-BSA indicating a membrane action. Subsequent analysis revealed that the two agents trigger different molecular pathways and cellular/molecular functions, suggestive of a molecular heterogeneity of membrane and intracellular AR. In addition, the phenotypic interactions of membrane-acting androgen with growth factor were verified at the transcriptomic level. Finally an interesting interplay between membrane-acting androgen with inflammation-related molecules, with potential clinical implications was revealed.
Publication Title
Conjugated and non-conjugated androgens differentially modulate specific early gene transcription in breast cancer in a cell-specific manner.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 26 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
-cell identity is determined by tightly regulated transcriptional networks that are modulated by extracellular cues, thereby ensuring -cell adaptation to the organisms insulin demands. We have observed in pancreatic islets that stimulatory glucose concentrations induced a gene profile that was similar to that of freshly isolated islets, indicating that glucose-elicited cues are involved in maintaining -cell identity. Low glucose induces the expression of ubiquitous genes involved in stress responses, nutrient sensing, and organelle biogenesis. By contrast, stimulatory glucose concentrations activate genes with a more restricted expression pattern (- and neuronal- cell identity). Consistently, glucose-induced genes are globally reduced in islets deficient with Hnf1a (MODY3), characterized by a deficient glucose metabolism. Of interest, a cell cycle gene module was the most enriched among the variable genes between intermediate and stimulatory glucose concentrations. Glucose regulation of the islet transcriptome was unexpectedly broadly maintained in islets from aged mice. However, the cell cycle gene module is selectively lost in old islets and the glucose activation of this module is not recovered even in the absence of the cell cycle inhibitor p16.
Publication Title
Glucose regulation of a cell cycle gene module is selectively lost in mouse pancreatic islets during ageing.
Sample Metadata Fields
Specimen part
View Samples