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SRP119842
Homo sapiens
10 Downloadable Samples
Illumina HiSeq 2000
Description
Needle biopsies were performed to obtain liver samples from patients for clinical purposes from patients with Alagille syndrome. A small portion was snap frozen and later used for RNA sequencing analysis. Needle biospies from 5 patients with other liver disorders were included as controls. Overall design: Examination of RNA expression in Alagille patients'' liver samples, compared to other control liver samples (with other chronic liver diseases).
Publication Title
Mouse Model of Alagille Syndrome and Mechanisms of Jagged1 Missense Mutations.
Sample Metadata Fields
Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- Illumina HiSeq 2000
Description
RNA sequencing of control or Notch1-expressing mouse cells co-cultured with control, Jag1WT, or Jag1Ndr-expressing human cells. Deep sequencing and bioinformatical separation of mouse and human reads reveals transcripts specifically regulated in mouse receptor-expressing cells. Overall design: Mouse C2C12 control and C2C12-FLNotch1, and human HEK-293-Flp-In cells (Hansson et al., 2010): HEK293-Flp control (Flp Ctrl), HEK293-Flp-Jag1WT (Flp Jag1+), HEK293-Flp-Jag1Ndr (Flp Jag1Ndr) were used in this experiment. In one 12-well plate, we seeded 3 wells of mouse C2C12 control cells and 3 wells of C2C12-FLN1 cells, with 3.6x105 cells in 1 mL antibiotic-free medium per well. Cells were allowed to settle for 8 hours. C2C12 control and C2C12-FLN1 cells were transfected with pcDNA5 (1.6 ug/well). All transfections were done using Lipofectamine® 2000 (InvitrogenTM, cat. no. 11668-019) with Opti-MEM® I Reduced Serum Medium (Gibco®, cat. no. 31985-062), according to manufacturer's instructions. The following day (18 hours post transfection), 3.6x105 cells in 0.5 mL antibiotic-free medium of Flp Ctrl, Flp Jag1+, or Flp Jag1Ndr cells were added. Cells were co-cultured for 6 hours, then lysed in 350 uL per well Buffer RLT (QIAGEN, cat. no. 79216) with 1% 2-Mercaptoethanol (Sigma-Aldrich®, cat. no. M3148) and stored at -80°C until RNA extraction.
Publication Title
Mouse Model of Alagille Syndrome and Mechanisms of Jagged1 Missense Mutations.
Sample Metadata Fields
Subject
View Samples- Danio rerio
- 20 Downloadable Samples
- IlluminaGenomeAnalyzerIIx
Description
Small RNA libraries from total RNA isolated from adult ovaries Overall design: Small RNA libraries were derived from Ovaries of the Founder strain and their offspring and their reciprocal offspring. RNA from 5 individual ovaries was pooled .
Publication Title
piRNA dynamics in divergent zebrafish strains reveal long-lasting maternal influence on zygotic piRNA profiles.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina HiSeq 2500
Description
Myosin IIa-deficient follicular B cells have a hyperactivated phenotype. To identify what pathways are regulated by myosin IIa, we performed RNA-seq of coding RNA on flow cytometry sorted follicular B cells from CD23Cre+Myh9fl/fl and CD23Cre+Myh9wt/fl mice. Overall design: B220+AA4.1-CD23+CD21lo follicular B cells were sorted from 3 CD23Cre+Myh9fl/fl and 3 CD23Cre+Myh9wt/fl mice and mRNA was isolated and sequenced.
Publication Title
Myosin IIa Promotes Antibody Responses by Regulating B Cell Activation, Acquisition of Antigen, and Proliferation.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 402 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 187 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. These correlations were positive and negative and in part compartment-specific. Microarrays of proximal tubular cells and podocytes with stable HIF1 and/or HIF2 suppression displayed cell type-specific HIF1/HIF2-dependencies as well as dysregulation of several pathways. WGCNA analysis identified gene sets that were highly coregulated within modules. Characterization of the modules revealed common as well as cell group- and condition-specific pathways, GO-Terms and transcription factors. Gene expression analysis of the hypoxia-interconnected pathways in patients with different CKD stages revealed an increased dysregulation with loss of renal function. In conclusion, our data clearly point to a compartment- and cell type-specific dysregulation of hypoxia-associated gene transcripts and might help to improve the understanding of hypoxia, HIF dysregulation, and transcriptional program response in CKD.
Publication Title
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 169 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. These correlations were positive and negative and in part compartment-specific. Microarrays of proximal tubular cells and podocytes with stable HIF1 and/or HIF2 suppression displayed cell type-specific HIF1/HIF2-dependencies as well as dysregulation of several pathways. WGCNA analysis identified gene sets that were highly coregulated within modules. Characterization of the modules revealed common as well as cell group- and condition-specific pathways, GO-Terms and transcription factors. Gene expression analysis of the hypoxia-interconnected pathways in patients with different CKD stages revealed an increased dysregulation with loss of renal function. In conclusion, our data clearly point to a compartment- and cell type-specific dysregulation of hypoxia-associated gene transcripts and might help to improve the understanding of hypoxia, HIF dysregulation, and transcriptional program response in CKD.
Publication Title
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 25 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. These correlations were positive and negative and in part compartment-specific. Microarrays of proximal tubular cells and podocytes with stable HIF1 and/or HIF2 suppression displayed cell type-specific HIF1/HIF2-dependencies as well as dysregulation of several pathways. WGCNA analysis identified gene sets that were highly coregulated within modules. Characterization of the modules revealed common as well as cell group- and condition-specific pathways, GO-Terms and transcription factors. Gene expression analysis of the hypoxia-interconnected pathways in patients with different CKD stages revealed an increased dysregulation with loss of renal function. In conclusion, our data clearly point to a compartment- and cell type-specific dysregulation of hypoxia-associated gene transcripts and might help to improve the understanding of hypoxia, HIF dysregulation, and transcriptional program response in CKD.
Publication Title
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. These correlations were positive and negative and in part compartment-specific. Microarrays of proximal tubular cells and podocytes with stable HIF1 and/or HIF2 suppression displayed cell type-specific HIF1/HIF2-dependencies as well as dysregulation of several pathways. WGCNA analysis identified gene sets that were highly coregulated within modules. Characterization of the modules revealed common as well as cell group- and condition-specific pathways, GO-Terms and transcription factors. Gene expression analysis of the hypoxia-interconnected pathways in patients with different CKD stages revealed an increased dysregulation with loss of renal function. In conclusion, our data clearly point to a compartment- and cell type-specific dysregulation of hypoxia-associated gene transcripts and might help to improve the understanding of hypoxia, HIF dysregulation, and transcriptional program response in CKD.
Publication Title
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 802 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219)
Description
The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. Evidence suggests that genome-wide transcriptional profiling of blood leukocytes can assist in differentiating between infection and non-infectious causes of severe disease. Of importance, RNA biomarkers have the potential advantage that they can be measured reliably in rapid quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)-based point of care tests.
Publication Title
A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission.
Sample Metadata Fields
Sex, Age
View Samples