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accession-icon GSE51099
Expression data from Ctla4-/- and DKO CD4+ Tconv cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Ctla4-/- mice suffer from a severe autoimmunity characterized by indiscriminate self-reactive T cell activation. Itk-/-Ctla4-/- (DKO) mice are protected from lethal autoimmunity despite a fulminant autoimmune process in the LNs as self-reative T cells fail to migrate to destroy tissues.

Publication Title

CD28 and ITK signals regulate autoreactive T cell trafficking.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE93261
Transcriptome analysis of Follicular Lymphomas from the PRIMABIO cohort
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We investigated the biological features of FL and their relationship to patients outcome. Gene expression analysis was carried out on diagnosis biopsies from 148 follicular lymphoma patients enrolled in the PRIMA clinical trial. We developed a gene expression-based predictor of progression-free survival (PFS) in high-tumour burden FL patients and we analysed gene-expression signatures reflecting different aspects of tumour biology for their association with outcome. proposition SH: We investigated the biological features of FL and their relationship to patients outcome. Gene expression analysis was carried out on diagnosis biopsies from 148 follicular lymphoma patients enrolled in the PRIMA clinical trial. We developed a gene expression-based predictor of progression-free survival (PFS) in high-tumour burden FL patients and we analysed gene-expression signatures reflecting different aspects of tumour biology for their association with outcome.

Publication Title

A gene-expression profiling score for prediction of outcome in patients with follicular lymphoma: a retrospective training and validation analysis in three international cohorts.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP072993
Targeted deletion of an Nr4a1­ associated enhancer ablates Ly6Clow monocytes while protecting pleiotropic gene function in macrophages [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Mononuclear phagocytes are a diverse cell family that occupy all tissues and assume numerous functions to support tissue and systemic homeostasis. Our ability to investigate the roles of individual subsets is limited by an absence of approaches to ablate gene function within specific sub-populations. Using Nr4a1-dependent Ly6Clow monocytes as a representative cell type we show that enhancer deletion addresses these limitations. Combining ChIP-Seq and molecular approaches we identify a single, conserved, sub-domain within the Nr4a1 enhancer that is essential for Ly6Clow monocyte development. Mice lacking this enhancer lack Ly6Clow monocytes but retain Nr4a1 gene expression in macrophages during steady state and in response to LPS. Nr4a1 is a key negative regulator of inflammatory gene expression and decoupling these processes allows Ly6Clow monocytes to be studied without confounding influences. Enhancer targeting possesses greater specificity than cre recombinase-mediated gene deletion, providing a route to generate loss-of-function models in closely related cell types. Overall design: Paired End mRNA sequencing of FACS purified primary murine MDP, cMoP, Ly6Chi and Ly6Clow monocytes from the bone marrow and Ly6Chi and Ly6Clow monocytes from the peripheral blood

Publication Title

Deleting an Nr4a1 Super-Enhancer Subdomain Ablates Ly6C<sup>low</sup> Monocytes while Preserving Macrophage Gene Function.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP058766
Histone H3K36M mutation impairs mesenchymal differentiation and drives sarcoma development [RNA_H33_K36M_HMT]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goal of this study is to understand the alterations in transcriptome induced by histone H3K36M mutations Overall design: Transcritome profiling of 3 cell lines cultured in vitro and 6 murine tumors

Publication Title

Histone H3K36 mutations promote sarcomagenesis through altered histone methylation landscape.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP067631
Integrative genomics identifies the molecular basis of resistance to Azacytidine therapy in Myelodysplastic Syndromes
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNA-seq of bone marrow CD34+ cells of myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) patients to identify at the molecular pathways involved in primary resistance to AZA therapy. Overall design: RNA-seq of bone marrow CD34+ cells of MDS and CMML patients at pre-treatment and after 6 cycles of AZA treatment to identify at the molecular pathways involved in resistance to AZA therapy.

Publication Title

Integrative Genomics Identifies the Molecular Basis of Resistance to Azacitidine Therapy in Myelodysplastic Syndromes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE115690
Expression analysis of T-ALL cell lines TALL-1, RPMI-8402, SUPT11 and P12-ICHIKAWA after treatment with NVS-ZP7-3
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of a NVS-ZP7-3 response signature in T-ALL cell lines to understand the transcriptional response in both Notch pathway active cell lines and Notch pathway inactive lines.

Publication Title

Discovery of a ZIP7 inhibitor from a Notch pathway screen.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE33552
Expression data from MDA-MB-231 cell line treated with Zoledronate, or Fluvastatin, or mock-treated control cells.
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Statins and bisphosponates (BPs) are two distinct classes of isoprenoid pathway inhibitors targeting HMG-CoA reductase (upstream enzyme) and Farnesyl-pyrophospate synthase (downstream enzyme) respectively. Here we conducted a comparative study of two representatives of these classes, fluvastatin (Fluva) and Zoledronate (Zol), to assess the differences in their in vivo metastatic potentials and pharmacogenomic profiles. Both drugs, being administered after emergence of detectable metastases, appeared to be potent metastasis inhibitors in MDA-MB-231 breast cancer metastasis model. We observed a reduced number of metastatic sites under Fluva, but not Zol treatment. Combinatorial in vivo treatment by Fluva and Zol showed no synergy for these drugs, as reported earlier on the basis of in vitro studies (Budman DR, Oncology 2006), staying in line with similarity of their transcriptomic profiles. Comparison of Zol and Fluva transcriptomic profiles revealed similar patterns of affected genes (describe involved genes functions) through different kinetics (when treated with IC50 determined for 72h treatment, the majority of changes were observed after 24h incubation with Fluva , and only after 48h incubation with Zol at 72h-IC50 or after 24h treatment with its 3 times higher dose). We demonstrated here that targeting different enzymes of the same pathway neither necessarily leads to distinct changes in gene profiles, nor to synergy for in vivo anti-metastatic potential.

Publication Title

Transcriptome analysis and in vivo activity of fluvastatin versus zoledronic acid in a murine breast cancer metastasis model.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE21651
Differential expression for salt and drought stress
  • organism-icon Oryza sativa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Leaf samples were used. We exposed young seedlings to NaCl and drought.

Publication Title

Identification of cis-regulatory elements associated with salinity and drought stress tolerance in rice from co-expressed gene interaction networks.

Sample Metadata Fields

Specimen part

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accession-icon SRP127737
Widespread Changes in Transcriptome Profile of Human Mesenchymal Stem Cells Induced by Two-Dimensional (2D) Nanosilicates
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Two-dimensional (2D) nanomaterials, an ultrathin class of materials such as graphene, nanoclays, transition metal dichalcogenides (TMDs), and transition metal oxides (TMOs), have emerged as a new generation of materials due to their unique properties relative to macroscale counterparts. However, little is known about the transcriptome dynamics following exposure to these nanomaterials. Here we investigate the interactions of 2D nanosilicates, a layered clay, with human mesenchymal stem cells (hMSCs) at the whole transcriptome level by high-throughput sequencing (RNA-seq). Analysis of cell-nanosilicate interactions by monitoring change in transcriptome profile uncovers key biophysical and biochemical cellular pathways triggered by nanosilicates. A widespread alteration of genes is observed due to nanosilicate exposure as more than 4,000 genes are differentially expressed. The change in mRNA expression levels reveal clathrin-mediated endocytosis of nanosilicates. Nanosilicate attachment to cell membrane and subsequent cellular internalization activate stress-responsive pathways such as mitogen activated protein kinase (MAPK), which subsequently directs hMSC differentiation towards osteogenic and chondrogenic lineages. This study provides transcriptomic insight on the role of surface-mediated cellular signaling triggered by nanomaterials and enables development of nanomaterials-based therapeutics for regenerative medicine. This approach in understanding nanomaterial-cell interactions, illustrates how change in transcriptomic profile can predict downstream effects following nanomaterial treatment.  Overall design: Examination of affect of 2D nanosilicates on hMSCs

Publication Title

Widespread changes in transcriptome profile of human mesenchymal stem cells induced by two-dimensional nanosilicates.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon E-MEXP-2506
Transcription profiling by array of rice grown in different light and temperature cycles
  • organism-icon Oryza sativa
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa, ssp. Japonica, cv. Nipponbare 1) plants were grown in a Conviron PGR 15 growth chamber using precise control of temperature, light, and humidity.<br></br>Diurnal (driven) conditions included 12L:12D light cycles and 31C/20C thermocycles in three different combinations. These were: photocycles (LDHH), 12 hrs. light (L)/12 hrs. dark (D) at a constant temperature (31C; HH); photo/thermocycles (LDHC): 12 hrs. light (L) /12 hrs. dark (D) with a high day temperature (31C) and a low night temperature (20C); and thermocycles (LLHC): continuous light (LL) with 12 hrs. high/12 hrs. low temperature (31C, day; 20C, night). Light intensity and relative humidity were 1000 micromol m-2s-2 and 60%, respectively.<br></br>Three-month-old rice plants were entrained for at least one week under the respective condition prior to initiation of each experiment. Leaves and stems from individual rice plants were collected every four hours for 48 hrs in driven (diurnal) conditions followed by a two day freerun spacer under continuous light/temperature followed by two additional days of sampling under the same continuous free run condition.<br></br>

Publication Title

Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules.

Sample Metadata Fields

Age, Specimen part, Time

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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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