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accession-icon SRP159462
Transcriptomic study of Arabidopsis roots overexpressing the brassinosteroid receptor BRL3, in control conditions and under severe drought
  • organism-icon Arabidopsis thaliana
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Abstract: Drought is the primary cause of global agricultural losses and represents a major threat to worldwide food security. Currently, plant biotechnology stands out as the most promising strategy to increase crop growth in rain-fed conditions. The main mechanisms underlying drought resistance have been uncovered by studies of plant physiology and by engineering crops with drought-resistant genes. However, plants with enhanced drought resistance usually display lower levels of growth, highlighting the need to search for novel strategies capable of uncoupling drought resistance from growth. Here, we show that the brassinosteroid family of receptors, in addition to promoting growth, guides phenotypic adaptation to a great variety of drought stress traits analyzed herein. Whilst mutations in the ubiquitously localized BRI1 receptor pathway show an enhanced drought resistance at the expense of plant growth, we found that vascular-enriched BRL3 receptors confer drought tolerance without penalizing overall growth. Systematic analyses reveal that upon drought stress the BRL3 receptor pathway triggers the synthesis and mobilization of osmoprotectant metabolites, mainly proline and sugars. This preferentially occurs in the vascular tissues of the roots and favors overall plant growth. Altogether, our results uncover a new role for the spatial control of BR signaling in drought tolerance, and offer a novel strategy to address food security issues in an increasingly water-limited climate. Overall design: 28 days old root system were collected from soil, quickly washed in water and flash-frozen. Experiment with a bifactorial design. Factor one is the genotype, which include WT (Col-0) and 35S:BRL3. Factor two is the condition, which include control (Properly watered) and 5 days of drought (water-hold) conditions. 3 Biological replicates were collected per each genotype and condition.

Publication Title

Overexpression of the vascular brassinosteroid receptor BRL3 confers drought resistance without penalizing plant growth.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE19951
Gene expression analysis of murine day 6 embryoid bodies (EBs ) with or without Notch1 (ICN1) induction.
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Analysis of CD41 single positive, VE-cadherin single positive, double positive, and double negatvie populations among 7AAD-CD45- cells from day 6 EBs

Publication Title

Signaling axis involving Hedgehog, Notch, and Scl promotes the embryonic endothelial-to-hematopoietic transition.

Sample Metadata Fields

Specimen part

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accession-icon GSE106977
Triple negative breast cancer subtypes and pathologic complete response rate to neoadjuvant chemotherapy
  • organism-icon Homo sapiens
  • sample-icon 118 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Triple negative breast cancer is a heterogeneous disease with distinct molecular subtypes that differentially respond to chemotherapy and targeted agents. The purpose of this study was to explore the clinical relevance of Lehmann triple negative breast cancer subtypes by identifying any differences in response to neoadjuvant chemotherapy among them.

Publication Title

Triple negative breast cancer subtypes and pathologic complete response rate to neoadjuvant chemotherapy.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP038992
Ribosomal footprinting and RNASeq in two strains of yeast and their diploid hybrid
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Heritable differences in gene expression between individuals are an important source of phenotypic variation. The question of how closely the effects of genetic variation on protein levels mirror those on mRNA levels remains open. Here, we addressed this question by using ribosomal footprinting to examine how genetic differences between two strains of the yeast S. cerevisiae affect translation. Strain differences in translation were observed for hundreds of genes, more than half as many as showed genetic differences in mRNA levels. Similarly, allele specific measurements in the diploid hybrid between the two strains found roughly half as many cis-acting effects on translation as were observed for mRNA levels. In both the parents and the hybrid, strong effects on translation were rare, such that the direction of an mRNA difference was typically reflected in a concordant footprint difference. The relative importance of cis and trans acting variation on footprint levels was similar to that for mRNA levels. Across all expressed genes, there was a tendency for translation to more often reinforce than buffer mRNA differences, resulting in footprint differences with greater magnitudes than the mRNA differences. Finally, we catalogued instances of premature translation termination in the two yeast strains. Overall, genetic variation clearly influences translation, but primarily does so by subtly modulating differences in mRNA levels. Translation does not appear to create strong discrepancies between genetic influences on mRNA and protein levels. Overall design: Ribsosomal footprinting and RNASeq in the two yeast strains BY and RM as well as their diploid hybrid. We generated one library each for the BY and RM parents, and two libraries (biological replicates) for the hybrid data.

Publication Title

Genetic influences on translation in yeast.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP121892
Chicken telencephalon RNAseq
  • organism-icon Gallus gallus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Embryonic chicken telencephalon nuclei were isolated for RNAseq to identify transcripts differentially expressed across different brain regions.

Publication Title

Neocortical Association Cell Types in the Forebrain of Birds and Alligators.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE66646
Expression data from ethanol and saline exposed mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Alteration of Gene Expression, DNA Methylation, and Histone Methylation in Free Radical Scavenging Networks in Adult Mouse Hippocampus following Fetal Alcohol Exposure.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE66644
Expression data from ethanol and saline exposed mice [mRNA]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse models of Fetal Alcohol Spectrum Disorder can be used to assess molecular changes underlying the disorder. Neonatal ethanol exposure in mice can be used to model third trimester ethanol exposure in humans.

Publication Title

Alteration of Gene Expression, DNA Methylation, and Histone Methylation in Free Radical Scavenging Networks in Adult Mouse Hippocampus following Fetal Alcohol Exposure.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE89253
Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways.

Sample Metadata Fields

Sex

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accession-icon GSE89252
Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways (expression)
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Multifactorial diseases, including autoimmune juvenile idiopathic arthritis (JIA), result from a complex interplay between genetics and environment. Epigenetic mechanisms are believed to integrate such gene-environment interactions, fine-tuning gene expression and possibly contributing to immune system dysregulation. Although anti-TNF therapy has strongly increased JIA remission rates, it is not curative and up to 80% of patients flare upon treatment withdrawal. Thus, a crucial unmet medical and scientific need is to understand the immunological mechanisms associated with remission or flare to inform clinical decisions. Here, we explored the CD4+ T cell DNA methylome of 68 poly-articular and extended oligo-articular JIA patients, before and after anti-TNF therapy withdrawal, to identify features associated with maintenance of inactive disease (ID). Individual CpG sites were clustered in coherent modules without a priori knowledge of their function through network analysis. The methylation level of several CpG modules, specifically those enriched in CpG sites belonging to genes that mediate T cell activation, uniquely correlated with clinical activity. Differences in DNA methylation were already detectable at the time of therapy discontinuation, suggesting epigenetic predisposition. RNA profiling also detected differences in T cell activation markers, including HLA-DR, but, overall, its sensitivity was lower than epigenetic profiling. Changes to the T cell activation signature at the protein level were detectable by flow cytometry, confirming the biological relevance of the observed alterations in methylation. Our work proposes, for the first time, epigenetic discrimination between clinical activity states, and reveals T cell-related biological functions tied to, and possibly predicting and/or causing, clinical outcome.

Publication Title

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways.

Sample Metadata Fields

Sex

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accession-icon SRP145350
A distinct lineage of origin reveals heterogeneity of plasmacytoid dendritic cells III
  • organism-icon Mus musculus
  • sample-icon 56 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Plasmacytoid  dendritic cells (pDCs) are an immune subset devoted to the production of high amounts of type 1 interferons in response to viral infections. While conventional dendritic cells (cDCs) originate mostly from a common dendritic cell progenitor (CDP), pDCs have been shown to develop from both CDPs and common lymphoid progenitors (CLP). Here we found that pDCs developed predominantly from IL7R+ lymphoid progenitor cells. Expression of SiglecH and Ly6D  defined pDC lineage commitment along the lymphoid branch. Transcriptional characterization of SiglecH+Ly6D+ precursors indicated that pDC development requires high expression of the transcription factor IRF8, while pDC identity relies on TCF4. RNA sequencing of IL7R+ lymphoid and CDP-derived pDCs mirrored the heterogeneity of mature pDCs observed by single-cell analysis. Both mature pDC subsets are able to secrete type 1 interferons, but only myeloid-derived pDCs share with cDCs their ability to process and present antigen. Overall design: Bulk RNA Seq was performed from sort purified DN, SP and DP lymphoid progenitors and BM pDCs of 4 individual mice

Publication Title

Distinct progenitor lineages contribute to the heterogeneity of plasmacytoid dendritic cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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