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GSE94417
Homo sapiens
195 Downloadable Samples
Affymetrix Human Genome U219 Array (hgu219)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 86 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219)
Description
Corticosteroids are the current standard of care to improve short-term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre-treatment predictors are lacking. We developed 123-gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA-approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring-based gene expressoin risk classification is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid
Publication Title
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 71 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219)
Description
Corticosteroids are the current standard of care to improve short-term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre-treatment predictors are lacking. We developed 123-gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA-approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring-based gene expressoin risk classificatoin is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid
Publication Title
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 38 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219)
Description
Corticosteroids are the current standard of care to improve short_term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre_treatment predictors are lacking. We developed 123_gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA_approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring_based gene expressoin risk classificatoin is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid
Publication Title
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
Sample Metadata Fields
No sample metadata fields
View Samples- Rattus norvegicus
- 12 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Puberty unmasks or accelerates nephropathies, including the nephropathy of diabetes mellitus (DM). A number of cellular systems implicated in the kidney disease of DM interweave, forming an interdependent functional web. We performed focused microarray analysis to test the hypothesis that one or more genes in the transforming growth factor beta (TGF-) signaling system would be differentially regulated in male rats depending on the age of onset of DM.
Publication Title
Prepubertal onset of diabetes prevents expression of renal cortical connective tissue growth factor.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus, Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We used microarrays to provide a transcriptomic signature of different types of cholestasis evoked by 3 different drugs and obstructive surgery
Publication Title
Robustness testing and optimization of an adverse outcome pathway on cholestatic liver injury.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 36 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Epithelial-mesenchymal transition (EMT) is a pivotal process in development and disease. In carcinogenesis, various signaling pathways are known to trigger EMT by inducing the expression of EMT transcription factors (EMT-TFs) like SNAIL1, ultimately promoting invasion, metastasis and chemoresistance. However, how EMT is executed downstream of EMT-TFs is incompletely understood. Here, using human colorectal cancer (CRC) and mammary cell line models of EMT, we demonstrate that SNAIL1 critically relies on bone morphogenetic protein (BMP) signaling for EMT execution. This activity requires the transcription factor SMAD4 common to BMP/TGFβ pathways, but is TGFβ signaling-independent. Further, we define a signature of BMP-dependent genes in the EMT-transcriptome which orchestrate EMT-induced invasiveness, and are found to be regulated in human CRC transcriptomes and during EMT in vivo. Collectively, our findings substantially augment the knowledge of mechanistic routes whereby EMT can be effectuated, which is relevant for the conceptual understanding and therapeutic targeting of EMT processes.
Publication Title
Canonical BMP Signaling Executes Epithelial-Mesenchymal Transition Downstream of SNAIL1.
Sample Metadata Fields
Specimen part
View Samples- Saccharomyces cerevisiae
- 16 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
RNA Pol II transcription has been implied to be either regulated by the general transcription factor TFIID or the co-activator SAGA. Also, this dominancy of either SAGA or TFIID might be according to the existance, or not, of a TATA consensus sequence.
Publication Title
Transcription of Nearly All Yeast RNA Polymerase II-Transcribed Genes Is Dependent on Transcription Factor TFIID.
Sample Metadata Fields
Treatment
View Samples- Saccharomyces cerevisiae
- 66 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
The SAGA co-activator has been implicated in the regulation of a smal subset of genes in budding yeast in transcriptomic analyses performed in steady-state levels of RNA.
Publication Title
SAGA Is a General Cofactor for RNA Polymerase II Transcription.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 14 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Impaired neutrophil function in 24p3 null mice contributes to enhanced susceptibility to bacterial infections.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples