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accession-icon GSE46713
Characterization of the starvation response in the Arabidopsis dcl1-9 mutant
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.1 ST Array (aragene11st)

Description

The SnRK1 protein kinase, the plant ortholog of mammalian AMPK and yeast Snf1, is activated by the energy depletion caused by adverse environmental conditions. Upon activation, SnRK1 triggers extensive transcriptional changes to restore homeostasis and promote stress tolerance and survival partly through the inhibition of anabolism and the activation of catabolism. Despite the identification of a few bZIP transcription factors as downstream effectors, the mechanisms underlying gene regulation, and in particular gene repression by SnRK1, remain mostly unknown. microRNAs (miRNAs) are 20-24nt RNAs that regulate gene expression post-transcriptionally by driving the cleavage and/or translation attenuation of complementary mRNA targets. In addition to the well-established role of miRNAs as regulators of plant development, mounting evidence implicates miRNAs in the response to environmental stress. Given the involvement of miRNAs in stress responses and the fact that some of the SnRK1-regulated genes are miRNA targets, we postulated that miRNAs drive part of the transcriptional reprogramming triggered by SnRK1 activation. To test this we have performed comparative analyses of the transcriptional response to energy deprivation between WT and dcl1-9, a mutant deficient in miRNA biogenesis.

Publication Title

miRNAs mediate SnRK1-dependent energy signaling in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE49981
Reciprocal transcriptional responses in the interaction between Arabidopsis thaliana and Tetranychus urticae.
  • organism-icon Arabidopsis thaliana
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

While pathogen-induced immunity is comparatively well characterized, far less is known about plant defense responses to arthropod herbivores. To date, most molecular-genetic studies of plant-arthropod interactions have focused on insects. However, plant-feeding (phytophagous) mites are also pests of diverse plants, and mites induce different patterns of damage to plant tissues than do well-studied insects (e.g., Lepidopteran larvae or aphids). The two-spotted spider mite, Tetranychus urticae, is among the most significant mite pests in agriculture. T. urticae is an extreme generalist that has been documented on a staggering number of plant hosts (more than 1,100), and is renowned for the rapid evolution of pesticide resistance. To understand reciprocal interactions between T. urticae and a plant host at the molecular level, we examined mite herbivory using Arabidopsis thaliana. Despite differences in feeding guilds, we found that transcriptional responses of A. thaliana to mite herbivory generally resembled those observed for insect herbivores. In particular, defense to mites was mediated by jasmonic acid (JA) biosynthesis and signaling. Further, indole glucosinolates dramatically increased mite mortality and development times. Variation in both basal and activated levels of these defense pathways might also explain differences in mite damage and feeding success between A. thaliana accessions. On the herbivore side, a diverse set of genes associated with detoxification of xenobiotics was induced upon exposure to increasing levels of in planta indole glucosinolates. Our findings provide molecular insights into the nature of, and response to, herbivory for a representative of a major class of arthropod herbivores.

Publication Title

Reciprocal responses in the interaction between Arabidopsis and the cell-content-feeding chelicerate herbivore spider mite.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE48355
Prenatal arsenic exposure and the epigenome
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconAgilent-031181 Unrestricted_Human_miRNA_V16.0_Microarray 030840 (Feature Number version), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.

Sample Metadata Fields

Specimen part

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accession-icon GSE48354
Prenatal arsenic exposure and the epigenome: altered gene expression profiles in newborn cord blood
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconAgilent-031181 Unrestricted_Human_miRNA_V16.0_Microarray 030840 (Feature Number version), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort in Gmez Palacio, Mexico was recently established to better understand the impacts of prenatal exposure to inorganic arsenic (iAs). In this study, we examined a subset (n=40) of newborn cord blood samples for microRNA (miRNA) expression changes associated with in utero arsenic exposure. Levels of iAs in maternal drinking water (DW-iAs) and maternal urine were assessed. Levels of DW-iAs ranged from below detectable values to 236 g/L (mean=51.7 g/L). Total arsenic in maternal urine (U-tAs) was defined as the sum of iAs and its monomethylated and dimethylated metabolites (MMAs and DMAs, respectively) and ranged from 6.2 to 319.7 g/L (mean=64.5 g/L). Genome-wide miRNA expression analysis of cord blood revealed 12 miRNAs with increasing expression associated with U-tAs. Transcriptional targets of the miRNAs were computationally predicted and subsequently assessed using transcriptional profiling. Pathway analysis demonstrated that the U-tAs-associated miRNAs are involved in signaling pathways related to known health outcomes of iAs exposure including cancer and diabetes mellitus. Immune response-related mRNAs were also identified with decreased expression levels associated with U-tAs, and predicted to be mediated in part by the arsenic-responsive miRNAs. Results of this study highlight miRNAs as novel responders to prenatal arsenic exposure that may contribute to associated immune response perturbations.

Publication Title

Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.

Sample Metadata Fields

Specimen part

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accession-icon GSE9599
Coordinated over-expression of genes in the EGFR pathway predicts sensitivity to EGFR inhibition in pancreatic cancer
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tumors from pancreatic cancer specimens obtained at surgery were used for efficacy testing and biologic analysis

Publication Title

Coordinated epidermal growth factor receptor pathway gene overexpression predicts epidermal growth factor receptor inhibitor sensitivity in pancreatic cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE53410
Identification of alternative splicing events regulated by the splicing factor SRSF1 using data from exon-junction microarray technologies
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [hjay.r1 version (huex10st)

Description

Analysis to identify genome-wide differential alternative splicing events in A549 cells in which the levels of the gene SRSF1 were down-regulated with a specific siRNA

Publication Title

Identification of alternative splicing events regulated by the oncogenic factor SRSF1 in lung cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP111371
Whole transcriptome analysis reveals a pro-inflammatory profile of ductular reaction cells in AH.
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Objective: Alcoholic hepatitis (AH) is characterized by the expansion of ductular reaction (DR) cells and expression of liver progenitor cell (LPC) markers. The aim of this study was to identify the gene expression profile and associated genes of DR cells and to evaluate its weight in alcoholic disease progression. Design: KRT7+, KRT7- and total liver fractions were laser microdissected from liver biopsies (n=6) of patients with AH and whole transcriptome was sequenced. Gene signature was assessed in transcriptomic data from 41 patients with alcoholic liver disease. Pro-inflammatory profile was evaluated in tissue and serum samples and in human LPC organoids. Results: Transcriptome analysis of KRT7+ DR cells uncovered intrinsic gene pathways of DR and allowed identifying genes associated with DR expressed in AH. In addition, DR gene signature and associated genes correlated with disease progression and poor outcome in AH patients. Importantly, DR presented a pro-inflammatory profile with expression of CXC and CCL chemokines and was associated with infiltrating neutrophils. Moreover, LPC markers correlated with liver expression and circulating levels of inflammatory mediators. In vitro, human LPC organoids mimicked ductular reaction gene expression profile and produced chemokines. Moreover, LPC promoted neutrophil migration and enhanced their inflammatory profile. Conclusions: Here we report for the first time the gene expression signature of DR in AH and its association with disease progression. Functional and experimental analysis demonstrates that DR cells have a pro-inflammatory profile, and suggest their involvement in neutrophil recruitment and liver inflammatory response.

Publication Title

Ductular Reaction Cells Display an Inflammatory Profile and Recruit Neutrophils in Alcoholic Hepatitis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Cell line, Treatment, Race

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accession-icon GSE100901
Whole transcriptome analysis reveals a pro-inflammatory profile of ductular reaction cells in AH.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Objective: Alcoholic hepatitis (AH) is characterized by the expansion of ductular reaction (DR) cells and expression of liver progenitor cell (LPC) markers. The aim of this study was to identify the gene expression profile and associated genes of DR cells and to evaluate its weight in alcoholic disease progression. Design: KRT7+, KRT7- and total liver fractions were laser microdissected from liver biopsies (n=6) of patients with AH and whole transcriptome was sequenced. Gene signature was assessed in transcriptomic data from 41 patients with alcoholic liver disease. Pro-inflammatory profile was evaluated in tissue and serum samples and in human LPC organoids. Results: Transcriptome analysis of KRT7+ DR cells uncovered intrinsic gene pathways of DR and allowed identifying genes associated with DR expressed in AH. In addition, DR gene signature and associated genes correlated with disease progression and poor outcome in AH patients. Importantly, DR presented a pro-inflammatory profile with expression of CXC and CCL chemokines and was associated with infiltrating neutrophils. Moreover, LPC markers correlated with liver expression and circulating levels of inflammatory mediators. In vitro, human LPC organoids mimicked ductular reaction gene expression profile and produced chemokines. Moreover, LPC promoted neutrophil migration and enhanced their inflammatory profile. Conclusions: Here we report for the first time the gene expression signature of DR in AH and its association with disease progression. Functional and experimental analysis demonstrates that DR cells have a pro-inflammatory profile, and suggest their involvement in neutrophil recruitment and liver inflammatory response.

Publication Title

Ductular Reaction Cells Display an Inflammatory Profile and Recruit Neutrophils in Alcoholic Hepatitis.

Sample Metadata Fields

Specimen part

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accession-icon GSE76902
EventPointer: An effective identification of alternative splicing events using junction arrays
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

There is an increasing interest on the role of Alternative splicing (AS) in different pathologies. The Affymetrix Human Transcriptome Array (HTA 2.0) can be used to explore AS very efficiently. However, the interpretation software provided by its vendor (TAC 3.0) does not fully exploit its potential and can only be applied to case-control studies. EventPointer is an R package to identify Alternative Splicing events using HTA 2.0 arrays. It can be applied to complex experimental designs. The software provides a list of the detected events indicating the type of event (cassette, alternative 3, etc.), their statistical significance, and affected protein domains affected. The false positive rate is very low (the first detected false positive was ranked in the 149th position). EventPointer is publicly available at GitHub.

Publication Title

EventPointer: an effective identification of alternative splicing events using junction arrays.

Sample Metadata Fields

Cell line

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accession-icon SRP047065
Ribosome profiling upon inhibition of eIF4A
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Ribosome profiling of MDA-MB-231 cells treated with Silvestrol to monitor transcriptome wide, eIF4A-dependent changes in translation efficiency Overall design: Translation efficiency (TE) of mRNAs dervied from ribosome footprints was monitored in the presence or absence of 25 nM Silvestrol, an inhibitor of eukaryotic translation initiation factor 4A (eIF4A). Transcripts with reduced TE in the presence of Silvestrol were compare to transcripts with reduced TE in the presence of INK128, a catalytic mTOR inhbitor.

Publication Title

Transcriptome-wide characterization of the eIF4A signature highlights plasticity in translation regulation.

Sample Metadata Fields

No sample metadata fields

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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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