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accession-icon SRP030027
Next generation sequencing of advanced non-castrate prostate cancer treated with docetaxel chemotherapy
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Early chemotherapy for advanced/metastatic non-castration resistant prostate cancer (PCa) may improve overall patient survival. We studied the safety, tolerability and early efficacy of up-front docetaxel chemotherapy and androgen deprivation therapy (ADT) versus ADT alone for patients with newly-diagnosed advanced/metastatic PCa. As proof of concept, we undertook in vivo gene expression profiling by next generation RNA sequencing (RNA-Seq). Overall design: Tumour biposies from 6 patients were taken before and after treatment with combined ADT and docetaxcel for 6 weeks

Publication Title

Identification of a candidate prognostic gene signature by transcriptome analysis of matched pre- and post-treatment prostatic biopsies from patients with advanced prostate cancer.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP026387
The Wnt/ß-catenin-signaling pathway is modulated by androgen ablation therapy for advanced clinical prostate cancer and contributes to androgen independent cell growth
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Androgen ablation therapy (AAT) is standard treatment for locally-advanced/metastatic prostate cancer (PCa). Many patients develop castration-resistance (CRPCa) after ~2-3 years, with a poor prognosis. The molecular mechanisms underlying CRPCa progression are unclear. mRNA-Seq was performed on tumours from 7 patients with locally-advanced/metastatic PCa before and ~22 weeks after AAT initiation. Differentially regulated genes were identified in treatment pairs. Overall design: Tumour biopsies from 7 patients were taken before and after AAT treatment

Publication Title

Next-generation sequencing of advanced prostate cancer treated with androgen-deprivation therapy.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE12190
Ion transport and osmotic adjustment in E. coli in response to ionic and non-ionic osmotica
  • organism-icon Escherichia coli
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Bacteria respond to osmotic stress by a substantial increase in the intracellular osmolality, adjusting their cell turgor for altered growth conditions. Using E. coli as a model organism we demonstrate here that bacterial responses to hyperosmotic stress specifically depend on the nature of osmoticum used. We show that increasing acute hyperosmotic NaCl stress above ~1.0 Os kg-1 causes a dose-dependent K+ leak from the cell, resulting in a substantial decrease in cytosolic K+ content and a concurrent accumulation of Na+ in the cell. At the same time, isotonic sucrose or mannitol treatment (non-ionic osmotica) results in a gradual increase of the net K+ uptake. Ion flux data is consistent with growth experiments showing that bacterial growth is impaired by NaCl at the concentration resulting in a switch from net K+ uptake to efflux. Microarray experiments reveal that about 40% of up-regulated genes shared no similarity in their responses to NaCl and sucrose treatment, further suggesting specificity of osmotic adjustment in E. coli to ionic- and non-ionic osmotica The observed differences are explained by the specificity of the stress-induced changes in the membrane potential of bacterial cells highlighting the importance of voltage-gated K+ transporters for bacterial adaptation to hyperosmotic stress.

Publication Title

Ion transport and osmotic adjustment in Escherichia coli in response to ionic and non-ionic osmotica.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE46474
Expression data from rejection and non-rejection kidney transplant patients
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute renal allograft rejection is an important complication in kidney transplantation. Accurate diagnosis of rejection events is necessary for timely response and treatment. We illustrate the usefulness and biological relevance of selected multivariate approaches to detect rejection from genomic and proteomic signals. The data was used to study gene expression changes using whole genome microarray analysis of peripheral blood from subjects with acute rejection (n=20) and non-rejecting controls (n=20) to obtain insight into the molecular and biological causation of acute renal allograft rejection when combined with proteomics (iTRAQ) data for the same patients/time-points.

Publication Title

Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study.

Sample Metadata Fields

Sex, Specimen part, Race

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accession-icon SRP109190
Sex differences in peripheral not central immune responses to pain-inducing injury
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Women suffer chronic pain more frequently than men. It is not clear whether this is due to differences in higher level cognitive processes or basic nociceptive responses. This study used a mouse model to dissociate these factors and found no differences in peripheral afferent neurons or in the spinal cord immune response to neuropathic injury. However, it did identify potential sexual dimorphisms in peripheral adaptive immune responses. Overall design: RNA-seq of naïve FACS-purified DRG neurons and MACS-purified DRG neurons after partial sciatic nerve ligation (day 8): comparison of male versus female samples

Publication Title

Sex differences in peripheral not central immune responses to pain-inducing injury.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon GSE37171
Expression data from uremic patients and 20 healthy controls (normals)
  • organism-icon Homo sapiens
  • sample-icon 115 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Renal failure is characterized by important biological changes resulting in profound pleomorphic physiological effects termed uremia, whose molecular causation is not well understood. The data was used to study gene expression changes in uremia using whole genome microarray analysis of peripheral blood from subjects with end-stage renal failure (n=63) and healthy controls (n=20) to obtain insight into the molecular and biological causation of this syndrome.

Publication Title

Alteration of human blood cell transcriptome in uremia.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Race

View Samples
accession-icon GSE87301
White Blood Cell Differentials Enrich Whole Blood Expression Data in the Context of Acute Cardiac Allograft Rejection
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute cardiac allograft rejection is a serious complication of heart transplantation. Investigating molecular processes in whole blood via microarrays is a promising avenue of research in transplantation, particularly due to the non-invasive nature of blood sampling. However, whole blood is a complex tissue and the consequent heterogeneity in composition amongst samples is ignored in traditional microarray analysis. This complicates the biological interpretation of microarray data. Here we have applied a statistical deconvolution approach, cell-specific significance analysis of microarrays (csSAM), to whole blood samples from subjects either undergoing acute heart allograft rejection (AR) or not (NR). We identified eight differentially expressed probe-sets significantly correlated to monocytes (mapping to 6 genes, all down-regulated in ARs versus NRs) at a false discovery rate (FDR) <= 15%. None of the genes identified are present in a biomarker panel of acute heart rejection previously published by our group and discovered in the same data.

Publication Title

White blood cell differentials enrich whole blood expression data in the context of acute cardiac allograft rejection.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE39583
Transcriptional response of cap mesenchyme (undifferentiated nephron progenitors) to Wnt activation
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

During mammalian kidney development, mesenchymal nephron progenitors (cap mesenchyme) differentiate into the epithelial cells that go on to form the nephron. Although differentiation of nephron progenitors is triggered by activation of Wnt/b-catenin signaling, constitutive activation of Wnt/b-catenin signaling blocks epithelialization of nephron progenitors. Full epithelialization of nephron progenitors requires transient activation of Wnt/b-catenin signaling. We performed transcriptional profiling of nephron progenitors responding to constitutive or transient activation of Wnt/b-catenin signaling.

Publication Title

Six2 and Wnt regulate self-renewal and commitment of nephron progenitors through shared gene regulatory networks.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP174499
In vivo developmental trajectories of human podocyte development inform in vitro differentiation of pluripotent stem-cell derived podocytes
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To assess in vitro derived podocytes, we examined the transcriptional changes during human podocyte development and applied that knowledge to pinpoint strengths and limitations of hESC-derived podocytes. Overall design: We performed transcriptionaling profiling of kidney organoids and organoid-derived MAFB-eGFP+ podocytes at various differentiation time points.

Publication Title

In Vivo Developmental Trajectories of Human Podocyte Inform In Vitro Differentiation of Pluripotent Stem Cell-Derived Podocytes.

Sample Metadata Fields

Subject

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accession-icon SRP187064
Transcriptomic profile of human embryonic renal corpuscles
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

In order to characterize and benchmark the podocytes-like cells generated through human ES cell differentiation, we generated transcriptional profiles of renal corpuscles from embryonic human kidneys using RNA-Seq. To compare, we also performed RNA-Seq of human immortalized podocyte cell lines before and after thermoswitch. Overall design: We performed RNA-Seq of poly-A selected RNA from hESC-derived kidney organoids, organoid-derived MAFB-eGFP+ podocytes at different time points, and human immortalized podocytes.

Publication Title

In Vivo Developmental Trajectories of Human Podocyte Inform In Vitro Differentiation of Pluripotent Stem Cell-Derived Podocytes.

Sample Metadata Fields

Specimen part, Subject

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)

fund-icon Fund the CCDL

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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