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GSE40712
Homo sapiens
2 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Knockdown of HCLS1 mRNA in CD34+ hematopoietic cells resulted in a severe diminished in vitro myeloid differentiation which was in line with downregulation of a set of genes, e.g., of Wnt or PI3K/Akt signaling cascades. We performed microarrays to evaluate specific genes and signaling systems regulated by HCLS1 in hematopoietic cells.
Publication Title
Interactions among HCLS1, HAX1 and LEF-1 proteins are essential for G-CSF-triggered granulopoiesis.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Treatment
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We show that numerous miRNAs are transcriptionally up-regulated in papillary thyroid carcinoma (PTC) tumors compared with unaffected thyroid tissue. Among the predicted target genes of the three most upregulated miRNAs (miRs 221, 222 and 146b), only less than 15% showed significant downexpression in transcript level between tumor and unaffected tissue. The KIT gene which is known to be downregulated by miRNAs 221 and 222 displayed dramatic loss of transcript and protein in those tumors that had abundant mir-221, mir-222, and mir-146b transcript.
Publication Title
The role of microRNA genes in papillary thyroid carcinoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Tacrolimus and Sirolimus are commonly used to maintain immunosuppression in kidney transplantation. However, their effects on immune cells and allograft molecular profiles have not been elucidated.
Publication Title
Cellular and molecular immune profiles in renal transplant recipients after conversion from tacrolimus to sirolimus.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 656 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Development and clinical validity of a novel blood-based molecular biomarker for subclinical acute rejection following kidney transplant.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 529 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
Sub-clinical acute rejection (subAR) in kidney transplant recipients (KTR) leads to chronic rejection and graft loss. Non-invasive biomarkers are needed to detect subAR. 307 KTR were enrolled into a multi-center observational study. Precise clinical phenotypes (CP) were used to define subAR. Differential gene expression (DGE) data from peripheral blood samples paired with surveillance biopsies were used to train a Random Forests (RF) model to develop a gene expression profile (GEP) for subAR. A separate cohort of paired samples was used to validate the GEP. Clinical endpoints and gene pathway mapping were used to assess clinical validity and biologic relevance. DGE data from 530 samples (130 subAR) collected from 250 KTR yielded a RF model: AUC 0.85; 0.84 after internal validation with bootstrap resampling. We selected a predicted probability threshold favoring specificity and NPV (87% and 88%) over sensitivity and PPV (64% and 61%, respectively). We tested the locked model/threshold on a separate cohort of 138 KTR undergoing surveillance biopsies at our institution (rejection 42; no rejection 96): NPV 78%; PPV 51%; AUC 0.66. Both the CP and GEP of subAR within the first 12 months following transplantation were independently associated with worse graft outcomes at 24 months, including de novo donor-specific antibody (DSA). Serial GEP tracked with response to treatment of subAR. DGE data from both cohorts mapped to gene pathways indicative of allograft rejection.
Publication Title
Development and clinical validity of a novel blood-based molecular biomarker for subclinical acute rejection following kidney transplant.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 127 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
Sub-clinical acute rejection (subAR) in kidney transplant recipients (KTR) leads to chronic rejection and graft loss. Non-invasive biomarkers are needed to detect subAR. 307 KTR were enrolled into a multi-center observational study. Precise clinical phenotypes (CP) were used to define subAR. Differential gene expression (DGE) data from peripheral blood samples paired with surveillance biopsies were used to train a Random Forests (RF) model to develop a gene expression profile (GEP) for subAR. A separate cohort of paired samples was used to validate the GEP. Clinical endpoints and gene pathway mapping were used to assess clinical validity and biologic relevance. DGE data from 530 samples (130 subAR) collected from 250 KTR yielded a RF model: AUC 0.85; 0.84 after internal validation with bootstrap resampling. We selected a predicted probability threshold favoring specificity and NPV (87% and 88%) over sensitivity and PPV (64% and 61%, respectively). We tested the locked model/threshold on a separate cohort of 138 KTR undergoing surveillance biopsies at our institution (rejection 42; no rejection 96): NPV 78%; PPV 51%; AUC 0.66. Both the CP and GEP of subAR within the first 12 months following transplantation were independently associated with worse graft outcomes at 24 months, including de novo donor-specific antibody (DSA). Serial GEP tracked with response to treatment of subAR. DGE data from both cohorts mapped to gene pathways indicative of allograft rejection.
Publication Title
Development and clinical validity of a novel blood-based molecular biomarker for subclinical acute rejection following kidney transplant.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 2 Downloadable Samples
Illumina HiSeq 2000
Description
about 250 genes were significantly changed after Gata4 and Gata6 were specifically deleted in the pancreatic progenitor cells Overall design: 6 pancreatic buds were pooled for the control, and 12 pancreatic buds were pooled for the Pdxcre; Gata4fl/fl; Gata6fl/fl. Libraries were prepared from total RNA (RIN>8) with the TruSeq RNA prep kit (Illumina) and sequenced using the HiSeq2000 (Illumina) instrument. More than 20 million reads were mapped to the mouse genome (UCSC/mm9) using Tophat (version 2.0.4) with 4 mismatches and 10 maximum multiple hits. Significantly differentially expressed genes were calculated using DEseq
Publication Title
GATA4 and GATA6 regulate pancreatic endoderm identity through inhibition of hedgehog signaling.
Sample Metadata Fields
Specimen part, Disease, Subject
View Samples- Homo sapiens
- 43 Downloadable Samples
- Illumina HiSeq 2000
Description
Hepatitis C virus (HCV) is widely used to investigate host-virus interactions and cellular responses to infection have been extensively studied in vitro. In human liver, interferon (IFN) stimulated gene expression can mask direct transcriptional responses to virus infection. To better characterize the direct effects of HCV infection in vivo, we analyze the transcriptomes of HCV-infected patients lacking an activated endogenous IFN system. We show that the expression changes observed in these patients predominantly reflect immune cell infiltrates rather than changes in cell-intrinsic metabolic pathways. We also investigate the transcriptomes of patients with endogenous IFN activation, which paradoxically cannot eradicate viral infection. We find that most IFN-stimulated genes (ISGs) are induced by both the endogenous IFN system and by recombinant IFN therapy, but with significantly higher induction levels in the latter. We conclude that the innate host immune response in chronic hepatitis C is too weak to clear the virus. Overall design: In this study, we aimed to disentangle the direct and indirect effects of HCV infection on cellular transcriptional profiles, by performing a detailed characterization of the gene expression changes associated with HCV infection, endogenous IFN system activation and pegIFNa treatment in the human liver. With this objective, we generated and analyzed high-throughput transcriptome sequencing profiles from liver biopsies derived from different categories of HCV-infected and non-infected patients, prior to and during treatment. First, to unveil HCV-induced cell-autonomous effects and to separate them from IFN-induced changes in the transcriptome, we selected liver biopsies from patients with chronic hepatitis C (CHC) without hepatic ISG induction, and compared them with un-infected control biopsies. Second, we examined the transcriptomic changes associated with the endogenous activation of the IFN system. Finally, we analyzed the gene expression changes resulting from pegIFNa/ribavirin treatment, by comparing transcriptome data from liver biopsies obtained before treatment and at different time points during the first week of therapy.
Publication Title
Transcriptional response to hepatitis C virus infection and interferon-alpha treatment in the human liver.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Drosophila melanogaster
- 6 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
Examined the expression effects of supplementing Drosophila food on heart and nephrocyte complexes
Publication Title
Diet-Induced Podocyte Dysfunction in Drosophila and Mammals.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Mus musculus
- 9 Downloadable Samples
- Illumina HiSeq 2000
Description
We report the transcriptome changes that result of the genomic deletion of one or two alleles of an islet-specific long non-coding RNA (Blinc1) in isolated pancreas from e15.5 mouse embryos. Overall design: Pancreas from e15.5 embryos were dissected and total RNA extracted. Libraries were prepared from total RNA (RIN>8) with the TruSeq RNA prep kit (Illumina) and sequenced using the HiSeq2000 (Illumina) instrument. More than 20 million reads were mapped to the mouse genome (UCSC/mm9) using Tophat (version 2.0.4) with 4 mismatches and 10 maximum multiple hits. Significantly differentially expressed genes were calculated using DEseq.
Publication Title
βlinc1 encodes a long noncoding RNA that regulates islet β-cell formation and function.
Sample Metadata Fields
Specimen part, Subject
View Samples