refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 30 results
Sort by

Filters

Technology

Platform

accession-icon GSE42088
Expression data from Leishmania major infected human dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Leishmania major infected human dendritic cells (DCs) exhibit a marked induction of IL-12 ultimately promoting a robust Th1-mediated response associated with parasite killing and protective immunity. In this study, we utilized Affymetrix Genechips to globally assess the host cell genes and pathways associated with L. major infection during early infection (2, 4, 8, and 24 hrs) in human myeloid-derived DCs. Bioinformatic analyses of the hybridized microarray chips identified 728 genes, represented by 848 unique probe sets, which, when compared to uninfected samples were observed to be significantly differentially expressed by one-way ANOVA. Altogether, the data provide a genome-wide perspective on the transcriptional influences Leishmania species exert within human DCs during early infection, and provides a platform for further investigations toward functionally characterizing candidate genes of importance to the IL-12 based immune response to infections.

Publication Title

Human dendritic cells exhibit a pronounced type I IFN signature following Leishmania major infection that is required for IL-12 induction.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon SRP078332
H3.3 depletion has a mild effect on the global transcriptome
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Transcriptomic analysis of H3.3 KO/Kd mouse embryonic fibroblasts (MEFs) Overall design: We isolated total RNA from control shRNA treated or shH3.3A treated H3.3B KO MEFs and carried out Ribozero RNA-seq analysis. RNA-seq analysis was carried out on pooled datasets from biological duplicate experiments.

Publication Title

Histone H3.3 regulates mitotic progression in mouse embryonic fibroblasts.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP045432
Choline kinase alpha (CHKA) as a therapeutic target in pancreatic ductal adenocarcinoma: Expression, predictive value, and sensitivity to inhibitors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Choline kinase alpha (CHKA) plays a crucial role in the regulation of membrane phospholipid synthesis and has oncogenic properties in vitro. We have analyzed the expression of CHKA in cell lines derived from pancreatic ductal adenocarcinoma (PDAC) and have found increased CHKA expression and a good correlation between protein expression and sensitivity to MN58b, a CHKA inhibitor that reduced cell growth through the induction of apoptosis. Accordingly, CHKA knockdown led to reduced drug sensitivity. In addition, we found that gemcitabine-resistant PDAC cells displayed enhanced sensitivity to CHKA inhibition and, in vitro, MN58b had synergistic effects with gemcitabine, 5-fluorouracil and oxaliplatin, three active drugs in the treatment of PDAC. Using tissue microarrays, CHKA was found to be overexpressed in 90% of pancreatic tumors. While cytoplasmic CHKA did not relate to survival, nuclear CHKA distribution was observed in 43% of samples and was associated with survival, especially among patients with well/moderately differentiated tumors. To identify the mechanisms involved in resistance to CHKA inhibitors, we cultured IMIM-PC-2 cells with continuous incremental concentrations of MN58b and isolated a subline with a 30-fold higher IC50. RNA-Seq analysis identified up-regulation of ABCB1 and ABCB4 multidrug resistance transporters and functional studies confirmed that their up-regulation is the main mechanism involved in resistance. Overall, our findings support the notion that CHKA inhibition merits further attention as a therapeutic option in patients with PDAC. Overall design: RNA profile from parental and MN58b-resistant IMIM-PC-2 were generated by deep sequencing were done in triplicates using illumina GAIIx

Publication Title

Choline Kinase Alpha (CHKα) as a Therapeutic Target in Pancreatic Ductal Adenocarcinoma: Expression, Predictive Value, and Sensitivity to Inhibitors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP136473
Choline Kinase Alpha (CHKa) as a Therapeutic Target in Pancreatic Ductal Adenocarcinoma: Expression, Predictive Value, and Sensitivity to Inhibitors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Choline kinase a (CHKa) plays a crucial role in the regulation of membrane phospholipid synthesis and has oncogenic properties in vitro. We have analyzed the expression of CHKa in cell lines derived from pancreatic ductal adenocarcinoma (PDAC) and have found increased CHKa expression, associated with differentiation. CHKa protein expression was directly correlated with sensitivity to MN58b, a CHKa inhibitor that reduced cell growth through the induction of apoptosis. Accordingly, CHKa knockdown led to reduced drug sensitivity. In addition, we found that gemcitabine-resistant PDAC cells displayed enhanced sensitivity to CHKa inhibition and, in vitro, MN58b had additive or synergistic effects with gemcitabine, 5-fluorouracil, and oxaliplatin, three active drugs in the treatment of PDAC. Using tissue microarrays, CHKa was found to be overexpressed in 90% of pancreatic tumors. While cytoplasmic CHKa did not relate to survival, nuclear CHKa distribution was observed in 43% of samples and was associated with longer survival, especially among patients with well/moderately differentiated tumors. To identify the mechanisms involved in resistance to CHKa inhibitors, we cultured IMIM-PC-2 cells with increasingly higher concentrations of MN58b and isolated a subline with a 30-fold higher IC50. RNA-Seq analysis identified upregulation of ABCB1 and ABCB4 multidrug resistance transporters, and functional studies confirmed that their upregulation is the main mechanism involved in resistance. Overall, our findings support the notion that CHKa inhibition merits further attention as a therapeutic option in patients with PDAC and that expression levels may predict response. Overall design: RNAseq from parental (IMIM-PC2 cell line)) and MN58b-resistant cells by triplicate

Publication Title

Choline Kinase Alpha (CHKα) as a Therapeutic Target in Pancreatic Ductal Adenocarcinoma: Expression, Predictive Value, and Sensitivity to Inhibitors.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon GSE141512
Expression data for patients with myocardial infarction (MI) vs healthy patients
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells.

Publication Title

Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature.

Sample Metadata Fields

Sex, Specimen part, Disease stage

View Samples
accession-icon GSE69052
Beclin-1 is dispensable for chromosome congression and proper outer kinetochore assembly
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chromosomal instability (CIN) is defined by the propensity to acquire structural and/or numerical aberration in the normal cellular karyotype and is often associated with cancer. Autophagy is a catabolic process that leads to the recycling of cellular components that may positively or negatively impact on cancer development and progression, depending on the context. Recent work postulated that the depletion of the pro-autophagic and tumor suppressive protein Beclin 1 triggers CIN by interfering with mitotic chromosome segregation, providing a possible mechanism for how Beclin 1 can act as a tumor suppressor (Fremont et al., PMID: 23478334). Here, we present data supporting the notion that the phenotypes described in Fremont et al., depend on a siRNA off-target effect. The transcriptomic analysis shown here was designed to identify the factor(s) that are responsible for such phenotype.

Publication Title

Beclin 1 is dispensable for chromosome congression and proper outer kinetochore assembly.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE2125
isolated alveolar macrophages
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This series represents isolated alveolar macrophages from human subjects.

Publication Title

A distinctive alveolar macrophage activation state induced by cigarette smoking.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53355
Preserving biological heterogeneity with personalized genomics batch correction
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Motivation: Sample source, procurement process, and other technical variations introduce batch effects into genomics data. Algorithms to remove these artifacts enhance differences between known biological covariates, but also carry potential concern of removing intra-group biological heterogeneity and thus any personalized genomic signatures. As a result, accurate identification of novel subtypes from batch corrected genomics data is challenging using standard algorithms designed to remove batch effects for class comparison analyses. Nor can batch effects be corrected reliably in future applications of genomics-based clinical tests, in which the biological groups are by definition unknown a priori.

Publication Title

Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Race

View Samples
accession-icon SRP159284
Small RNA-Seq reveals novel miRNAs shaping the transcriptomic identity of rat brain structures
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In the central nervous system (CNS), the microRNAs (miRNAs), small endogenous RNAs exerting a negative post-transcriptional regulation on mRNAs, are involved in major functions, such as neurogenesis, and synaptic plasticity. Moreover, they are essential to define the specific transcriptome of the tissues and cell types. However, few studies were performed to determine the miRNome of the different structures of the rat CNS, even through rat is a major model in neuroscience. We determined the miRNome profile of the hippocampus, the cortex, the striatum, the spinal cord and the olfactory bulb, by small RNA-Seq. We found a total of 365 known miRNAs' and 90 novel miRNAs expressed in the CNS of the rat. Novel miRNAs seemed to be important in defining structure-specific miRNomes. Differential analysis showed that several miRNAs were specifically enriched/depleted in these CNS structures. Then, we correlated miRNAs' expression with the expression of their mRNA targets by mRNA-Seq. This analysis suggests that the transcriptomic identity of each structure is regulated by specific miRNAs. Altogether, these results suggest the critical role played by these enriched/depleted miRNAs in the functional identities of CNS structures. Overall design: miRNA and mRNA profile of 5 structures of the central nervous system of rat, for each structurewe analyzed three biological replicates

Publication Title

Small RNA-Seq reveals novel miRNAs shaping the transcriptomic identity of rat brain structures.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP161805
Rbfox1 mediates cell-type specific splicing in cortical interneurons
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cortical interneurons display a remarkable diversity in their morphology, physiological properties and connectivity. Elucidating the molecular determinants underlying this heterogeneity is essential for understanding interneuron development and function. We discovered that alternative splicing differentially regulates the integration of somatostatin- and parvalbumin-expressing interneurons into nascent cortical circuits through the cell-type specific tailoring of mRNAs. Specifically, we identified a role for the activity-dependent splicing regulator Rbfox1 in the development of cortical interneuron subtype specific efferent connectivity. Our work demonstrates that Rbfox1 mediates largely non-overlapping alternative splicing programs within two distinct but related classes of interneurons. Overall design: RNA-seq of FACS sorted PV+ and SST+ cortical interneuronals at P8 of wt and conditional Rbfox1 Kos

Publication Title

Rbfox1 Mediates Cell-type-Specific Splicing in Cortical Interneurons.

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact