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accession-icon E-MEXP-1920
Transcription profiling of pistils from Arabidopsis wild type, ant-4 mutant and ino-1mutant plants at different developmental stages
  • organism-icon Arabidopsis thaliana
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This experiment was designed to identify genes expressed preferentially in the two integuments of the Arabidopsis ovule. Pistils from wild type and two ovule mutants were compared against each aintegumenta-4 (ant-4) which lacks both integuments and inner no outer (ino-1) which lacks the outer integument. Genes that are highly expressed only in the integuments were expected to be reduced in expression in the mutants, as compared with wild type. Pistils containing ovules through all stages of ovule development prior to pollination were pooled for one experiment (FULL arrays), and for two separate experiments, a set of early differentiation stages (EARLY arrays) and a set of later differentiation stages (LATE ARRAYS) were pooled. Wild type and mutant lines are in the ecotype Landsberg erecta.

Publication Title

Expression-based discovery of candidate ovule development regulators through transcriptional profiling of ovule mutants.

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part

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accession-icon SRP035359
Competence for reprogramming sex
  • organism-icon Caenorhabditis elegans
  • sample-icon 77 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We used RNA-Seq to compare transcriptomes of chemical reprogramming competent worms versus worms not competent for chemical reprogramming. We also performed RNA-seq during a time course of chemical reprogramming. Overall design: Three replicates of each of two reprogramming non-competent strains and three replicates of each of two reprogramming competent strains were collected. For the time course, five time points were analyzed (1, 2, 4, 6, and 18 hours) in either DMSO or DMSO + U0126 in three genotypes (non-reprogramming competent worms, reprogramming competent, and wildtype worms).

Publication Title

Competence for chemical reprogramming of sexual fate correlates with an intersexual molecular signature in Caenorhabditis elegans.

Alternate Accession IDs

GSE54030

Sample Metadata Fields

Subject

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accession-icon SRP188627
Tubulin mRNA stability is sensitive to change in microtubule dynamics caused by multiple physiological and toxic cues
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goal of this study is to compare gene expression profiles in quiescent RPE1 hTert cells treated with microtubule-stabilizing (paclitaxel) and microtubule-destabilizing poisons (combretastatin A4) Overall design: RPE 1 hTert cells were grown to full confluency, and maintained as such for 5 days to induce quiescence. Quiescent cells were treated with microtubule poisons combretastatin A4 and paclitaxel for 6 or 24 hours. Total RNA was collected and purified using the PureLink RNA Mini Kit (Invitrogen, Thermo Fisher Scientific, USA). RNA concentration and quality were determined using NanoDrop and Bioanalyzer respectively, and 500 ng of purified RNA was used as input for the Illumina TruSeq Stranded mRNA Library Prep Kit (Illumina, USA). Barcoded libraries were pooled and quantitated using KAPA, and single-end sequenced on an Illumina NextSeq (Illumina, USA). RNA-seq reads were mapped using STAR (version 2.1.0j) and processed using HTSeq-count (version 0.6.1). GRCh38 reference genome and transcript annotations were used for gene mapping; Entrez Gene identifiers and org.Hs.eg.db database were used for genome wide annotation. Differential gene expression and statistical analysis were performed using edgeR package. Genes with >50 reads per million and a fold change significantly different from zero in Wilcoxon signed-rank test (p< 0.05), were marked as differentially expressed genes, based on three biological replicates.

Publication Title

Tubulin mRNA stability is sensitive to change in microtubule dynamics caused by multiple physiological and toxic cues.

Alternate Accession IDs

GSE128414

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE43536
Effects of overexpressed Atoh8 on the transcriptional profile of mouse ductal cells mPAC in the absence or presence of co-expressed Neurogenin3
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The basic helix-loop-helix (bHLH) transcription factors of the Drosophilas atonal-related superfamily Neurogenin3 (Neurog3) and NeuroD1 promote endocrine differentiation in the gastrointestinal tract. Atonal Homolog 8 (Atoh8/Math6) is a newly identified member of the atonal-related family whose expression is induced by Neurog3 and NeuroD1 in cell culture, indicating a possible role for this gene in the endocrine differentiation program downstream of these two pro-endocrine factors. Intriguingly, available experimental evidence based on a reduced number of genes suggests that Atoh8 may negatively regulate Neurog3-targeting events. In this study, we have analyzed global changes in gene expression profiles upon exogenous expression of Atoh8 alone or in combination with Neurog3 in mouse pancreatic duct (mPAC) cells. These cells activate neuroendocrine-specific gene expression in response to Neurog3 and NeuroD1 and thus serve as an optimal model to evaluate the proendocrine activity of Atoh8. We have compared transcriptional profiles between mPAC cells treated with a recombinant adenovirus expressing Atoh8 (Ad-Atoh8) or a control adenovirus encoding B-galactosidase (Ad-Bgal), and between cells treated with Ad-Neurog3+Ad-Bgal or cells treated with Ad-Neurog3+Ad-Atoh8. The results obtained show that Atoh8 exhibits a very modest transcriptional activity in these cells thus confirming that Atoh8 does not function as a proendocrine gene. Furthermore, our data also confirm the ability of Atoh8 to block Neurog3-dependent transcriptional activation events. However, since repression is only seen for a small subset of Neurog3 gene targets, we discard a general role of Atoh8 as a negative regulator of Neurog3 pro-endocrine activity.

Publication Title

Characterization of the transcriptional activity of the basic helix-loop-helix (bHLH) transcription factor Atoh8.

Alternate Accession IDs

E-GEOD-43536

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE18677
Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Microarray expression profiling has become a valuable tool in the evaluation of the genetic consequences of metabolic disease. Although 3-biased gene expression microarray platforms were the first generation to have widespread availability, newer platforms are gradually emerging that have more up-to-date content and/or higher cost efficiency. Deciphering the relative strengths and weaknesses of these various platforms for metabolic pathway level analyses can be daunting. We sought to determine the practical strengths and weaknesses of four leading commercially-available expression array platforms relative to biologic investigations, as well as assess the feasibility of cross-platform data integration for purposes of biochemical pathway analyses. METHODS: Liver RNA from B6.Alb/cre,Pdss2loxP/loxP mice having primary Coenzyme Q deficiency was extracted either at baseline or following treatment with an antioxidant/antihyperlipidemic agent, probucol. Target RNA samples were prepared and hybridized to Affymetrix 430 2.0, Affymetrix Gene 1.0 ST, Affymetrix Exon 1.0 ST, and Illumina Mouse WG-6 expression arrays. Probes on all platforms were re-mapped to coding sequences in the current version of the mouse genome. Data processing and statistical analysis were performed by R/Bioconductor functions, and pathway analyses were carried out by KEGG Atlas and GSEA. RESULTS: Expression measurements were generally consistent across platforms. However, intensive probe-level comparison suggested that differences in probe locations were a major source of inter-platform variance. In addition, genes expressed at low or intermediate levels had lower inter-platform reproducibility than highly expressed genes. All platforms showed similar patterns of differential expression between sample groups, with steroid biosynthesis consistently identified as the most down-regulated metabolic pathway by probucol treatment. CONCLUSIONS: This work offers a timely guide for metabolic disease investigators to enable informed end-user decisions regarding choice of expression microarray platform best-suited to specific research project goals. Successful cross-platform integration of biochemical pathway expression data is also demonstrated, especially for well-annotated and highly-expressed genes. However, integration of gene-level expression data is limited by individual platform probe design and the expression level of target genes. Cross-platform analyses of biochemical pathway data will require additional data processing and novel computational bioinformatics tools to address unique statistical challenges.

Publication Title

Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy.

Alternate Accession IDs

E-GEOD-18677

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon E-MEXP-1158
Transcription profiling of mouse embryonic stem cells and primordial germ cells to identify genes up-regulated in pluripotent cells
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Understanding the transcriptional regulation of pluripotent cells is of fundamental interest and will greatly inform efforts aimed at directing differentiation of embryonic stem (ES) cells or reprogramming somatic cells. We first analyzed the transcriptional profiles of mouse ES cells and primordial germ cell (PGCs) and identified genes up-regulated in pluripotent cells both in vitro and in vivo. These genes are enriched for roles in transcription, chromatin remodeling, cell cycle and DNA repair. We developed a novel computational algorithm, CompMoby, which combines analyses of sequences both aligned and non-aligned between different genomes with a probabilistic segmentation model to systematically predict short DNA motifs that regulate gene expression. CompMoby was used to identify conserved over-represented motifs in genes up-regulated in pluripotent cells. We show that the motifs are preferentially active in undifferentiated mouse ES and Embryonic Germ cells in a sequence-specific manner, and that they can act as enhancers in the context of an endogenous promoter. Importantly, the activity of the motifs is conserved in human ES cells. We further show that the transcription factor NF-Y specifically binds to one of the motifs, is differentially expressed during ES cell differentiation and is required for ES cell proliferation. This study provides novel insights into the transcriptional regulatory networks of pluripotent cells. Our results suggest that this systematic approach can be broadly applied to understanding transcriptional networks in mammalian species.

Publication Title

Systematic identification of cis-regulatory sequences active in mouse and human embryonic stem cells.

Alternate Accession IDs

None

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE19246
A novel method of amplification of FFPET derived-RNA enables accurate disease classification with microarrays
  • organism-icon Homo sapiens
  • sample-icon 171 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A new method for amplification and labeling of RNA is assessed that permits gene expression microarray analysis of formalin-fixed paraffin embedded tissue (i.e. FFPET) samples.

Publication Title

A novel method of amplification of FFPET-derived RNA enables accurate disease classification with microarrays.

Alternate Accession IDs

E-GEOD-19246

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP047289
Dosage compensation can buffer copy-number variation in wild yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 59 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

We show that aneuploidy is common in wild isolates of yeast, which are inherently tolerant to chromosome amplification and down-regulate expression at 40% of amplified genes.  To dissect the mechanism of this dosage response, we generated isogenic strain panels in which diploid cells carried either two, three, or four copies of the affected chromosomes.  Using a mixture of linear regression (MLR) model to classify genes, we find that expression is actively down regulated in proportion to increased gene copy at up to 30% of genes. Genes subject to dosage control are under higher expression constraint – but show elevated rates of gene amplification – in wild populations, suggesting that dosage compensation buffers copy number variation (CNV) at toxic genes Overall design: RNA-seq and transcriptome analysis of S. cerevisiae natural isolates having aneuploidy. Technical triplicate was performed for isogenic diploid strains having 2, 3 and 4 copies of a given chromosome (strain panels), while technical duplicate or singulate was performed on all other aneuploids.

Publication Title

Dosage compensation can buffer copy-number variation in wild yeast.

Alternate Accession IDs

GSE61532

Sample Metadata Fields

Subject

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accession-icon SRP062389
Human telomerase RNA processing and quality control
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA sequencing of HeLa cells treated with siRNA against the RNA exosome components hRRP40, hRRP6, hDIS3, and hRRP6/hDIS3 or the splicing inhibitors Isoginkgetin and spliceostatin A, respectively. Overall design: Stranded, ribo-depleted RNA seq profiles of HeLa cells treated with exosome targeting siRNAs or splicing inhibitors using Illumina HiSeq. All experiments were carried out in triplicate starting with independent cell cultures

Publication Title

Human Telomerase RNA Processing and Quality Control.

Alternate Accession IDs

GSE72055

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38617
Expression data from primary tissue, human oral mucosa
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Disease-associated miRNA-mRNA networks in oral lichen planus.

Alternate Accession IDs

E-GEOD-38617

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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