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accession-icon SRP144495
Identifying dormant cells in colorectal cancer spheroids
  • organism-icon Homo sapiens
  • sample-icon 384 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cellular dormancy and heterogeneous cell cycle lengths provide important explanations for treatment failure following adjuvant therapy with S-phase cytotoxics in colorectal cancer (CRC) yet the molecular control of the dormant versus cycling state remains unknown. In CRCs dormant cells are found to be highly clonogenic and resistant to chemotherapies. We sought to understand the molecular features of dormant CRC cells to facilitate rationale identification of compounds to target both dormant and cycling tumour cells. Overall design: Six colorectal cancer cell lines (DLD1, HCT15, HT55, SW948, RKO and SW48) were labelled with the cell permeable dye CFSE and then grown in non-adherent spheroid culture for 6 days to enable identification of dormant cells that retain CFSE (LRC) and cycling cells (BULK). LRCs and BULK populations were then FACS sorted from each cell line in quadruplicate. As a control experiment, to identify off-target effects of the CFSE dye and culture artefacts, BULK populations from DLD1 cells at d1 and d6 after seeding both with and without CFSE labelling were included in the RNAseq analysis. RNA was extracted using the RNAeasy Micro Plus kit (Qiagen) and quantified using the Qubit RNA Assay Kit (Thermo Fisher Scientific). RNA quality was assessed using the Agilent Bioanalyser system as per manufacturer's instructions. Following normalisation and sample randomisation, Truseq library (Illumina) preparation was carried out at the CRUK CI genomics facility and subsequent single end, 50bp sequencing using the HiSeq system (Illumina). Following human genome alignment (hg19), read counts were normalised and differential expression tested using the DEseq protocol.

Publication Title

Itraconazole targets cell cycle heterogeneity in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP144496
Identifying the molecular mode of action of itraconazole in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Two cell lines (HT55 and SW948) were found responsive to itraconazole treatment. To identify the mode of action cells were treated with itraconazole or control (DMSO) and then subjected to RNAseq analysis once the phenotype had developed Overall design: HT55 and SW948 cells were seeded in adherent culture and treated with 5uM itraconazole or DMSO for 6 days. Cells then underwent RNA extraction using the RNAeasy Micro Plus kit (Qiagen) and quantified using the Qubit RNA Assay Kit (Thermo Fisher Scientific). RNA quality was assessed using the Agilent Bioanalyser system as per manufacturer's instructions. Following normalisation and sample randomisation, Truseq library (Illumina) preparation was carried out at the CRUK CI genomics facility and subsequent single end, 50bp sequencing using the HiSeq system (Illumina). Following human genome alignment (hg19), read counts were normalised and differential expression tested using the DEseq protocol.

Publication Title

Itraconazole targets cell cycle heterogeneity in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE113962
Murine host response to Neisseria gonorrhoeae upper genital tract infection reveals a common transcriptional signature, plus distinct inflammatory responses that vary between reproductive cycle phases
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The emergence of fully antimicrobial resistant Neisseria gonorrhoeae has led global public health agencies to identify a critical need for next generation anti-gonococcal pharmaceuticals. The development and success of these compounds will rely upon valid pre-clinical models of gonorrhoeae infection. We recently developed and reported the first model of upper genital tract gonococcal infection. During initial characterization, we observed significant reproductive cycle-based variation in infection outcome. When uterine infection occurred in the diestrus phase, there was significantly greater pathology than during estrus phase. The aim of this study was to evaluate transcriptional profiles of infected uterine tissue from mice in either estrus or diestrus phase in order to elucidate possible mechanisms for these differences. Genes and biological pathways with phase-independent induction during infection showed a chemokine dominant cytokine response to Neisseria gonorrhoeae. Despite general induction being phase-independent, this common anti-gonococcal response demonstrated greater induction during diestrus phase infection. Greater activity of granulocyte adhesion and diapedesis regulators during diestrus infection, particularly in chemokines and diapedesis regulators, was also shown. In addition to a greater induction of the common anti-gonococcal response, Gene Set Enrichment Analysis (GSEA) identified a diestrus-specific induction of type-1 interferon signaling pathways. This transcriptional analysis of murine uterine gonococcal infection during distinct points in the natural reproductive cycle provided evidence for a common anti-gonococcal response characterized by significant induction of granulocyte chemokine expression and high proinflammatory mediators. The basic biology of this host response to N. gonorrhoeae in estrus and diestrus is similar at the pathway level, but varies drastically in magnitude. Overlaying this, we observed type-1 interferon induction specifically in diestrus infection where greater pathology is observed. This supports recent work suggesting this pathway has a significant, possibly host-detrimental, function in gonococcal infection. Together these findings lay the groundwork for further examination of the role of interferons in gonococcal infection. Additionally, this work enables the implementation of the diestrus uterine infection model using the newly characterized host response as a marker of pathology and its prevention as a correlate of candidate vaccine efficacy and ability to protect against the devastating consequences of N. gonorrhoeae-associated sequelae.

Publication Title

Murine host response to Neisseria gonorrhoeae upper genital tract infection reveals a common transcriptional signature, plus distinct inflammatory responses that vary between reproductive cycle phases.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE52929
Sel1L is Indispensable for Mammalian ERAD, ER Homeostasis and Survival
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Sel1L is an adaptor protein for the E3 ligase Hrd1 involved in endoplasmic reticulum-associated degradation (ERAD). Its physiological importance in mammalian ERAD, however, remains to be established. Here, using the inducible Sel1L knockout mouse and cell models, we provide the first in vivo evidence that Sel1L is indispensable for Hrd1 stability, ER homeostasis and survival. Acute loss of Sel1L leads to premature death in adult mice within 3 weeks with profound pancreatic atrophy. Contrary to current belief, our data show that mammalian Sel1L is required for Hrd1 stability and ERAD function both in vitro and in vivo. Sel1L deficiency disturbs ER homeostasis, activates ER stress, attenuates translation and promotes cell death. Serendipitously, using biochemical approach coupled with mass spectrometry, we found that Sel1L deficiency causes the aggregation of both small and large ribosomal subunits. Thus, Sel1L is an indispensable component of mammalian ERAD and ER homeostasis, which is essential for protein translation, pancreatic function, cellular and organismal survival.

Publication Title

Sel1L is indispensable for mammalian endoplasmic reticulum-associated degradation, endoplasmic reticulum homeostasis, and survival.

Sample Metadata Fields

Specimen part

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accession-icon GSE68014
Gene profiling of human HOS cell line over-expressed with miR-23a and differentiated by beta-glycerophosphate (BGP) treatment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

miR-23a impairs bone differentiation in osteosarcoma via down-regulation of GJA1.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE68012
Gene expression profiling of human HOS cell line differentiated by beta-glycerophosphate (BGP) treatment
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Human HOS cell line was differentiated by beta-glycerophosphate (BGP) treatment and gene expression profiling was studied with Illumina expression microarray (HumanHT12_V4).

Publication Title

miR-23a impairs bone differentiation in osteosarcoma via down-regulation of GJA1.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE68013
Gene expression profiling of human HOS cell line overexpressed with miR23a
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Human HOS cell line was overexpressed with miR23a and gene expression profiling was studied with Illumina expression microarray (HumanHT12_V4).

Publication Title

miR-23a impairs bone differentiation in osteosarcoma via down-regulation of GJA1.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE23025
Altered Hematopoietic Cell Gene Expression Precedes Development of Therapy-Related Myelodysplasia and Identifies Patients at Risk
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Therapy-related myelodysplasia or acute myeloid leukemia (t-MDS/AML) is a lethal complication of cancer treatment. Although t-MDS/AML development is associated with known genotoxic exposures, its pathogenesis is not well understood and methods to predict risk of development of t-MDS/AML in individual cancer survivors are not available. We performed microarray analysis of gene expression in samples from patients who developed t-MDS/AML after autologous hematopoietic cell transplantation (aHCT) for Hodgkin lymphoma (HL) or non-Hodgkin lymphoma (NHL) and controls that did not develop t-MDS/AML after aHCT. CD34+ progenitor cells from peripheral blood stem cell (PBSC) samples obtained pre-aHCT from t-MDS/AML cases and matched controls, and bone marrow (BM) samples obtained at time of development of t-MDS/AML, were studied. Significant differences in gene expression were seen in PBSC obtained pre-aHCT from patients who subsequently developed t-MDS/AML compared to controls. Genetic alterations in pre-aHCT samples were related to mitochondrial function, protein synthesis, metabolic regulation and hematopoietic regulation. Progression to overt t-MDS/AML was associated with additional alterations in DNA repair and DNA-damage checkpoint genes. Altered gene expression in PBSC samples were validated in an independent group of patients. An optimal 63-gene PBSC classifier derived from the training set accurately distinguished patients who did or did not develop t-MDS/AML in the independent test set. These results indicate that genetic programs associated with t-MDS/AML are perturbed long before disease onset, and can accurately identify those at risk of developing this complication.

Publication Title

Altered hematopoietic cell gene expression precedes development of therapy-related myelodysplasia/acute myeloid leukemia and identifies patients at risk.

Sample Metadata Fields

Disease, Subject

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accession-icon GSE61089
Mouse and rat cells and tissues
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Divergence of RNA localization between rat and mouse neurons reveals the potential for rapid brain evolution.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE61082
Expression data from mouse dissected dendrites
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Using microdissected dendrites from primary cultures of hippocampal neurons of two mouse strains (C57BL/6 and Balb/c) and one rat strain (Sprague-Dawley), we investigate via microarrays, subcellular localization of mRNAs in dendrites of neurons to assay the evolutionary differences in subcellular dendritic transcripts localization.

Publication Title

Divergence of RNA localization between rat and mouse neurons reveals the potential for rapid brain evolution.

Sample Metadata Fields

Age, Specimen part

View Samples
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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)

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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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