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accession-icon GSE84827
Blimp1 is required to repress Foxp3+ regulatory T cell pathogenic activity in mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Foxp3+Tregcells are essential modulators of immune responses but under specific conditions can acquire inflammatory properties and potentially contribute to disease pathogenesis. Here we show that the transcription factor Blimp1 is a critical regulator of Foxp3+Treg functional plasticity. The intrinsic expression of Blimp1 was required to prevent Treg from producing Th17-associated cytokines and acquiring an inflammatory phenotype while preserving Foxp3 expression. Mechanistically, Blimp1 acts as a direct repressor of the Il17a/Il17f genes in Foxp3+Treg and binding of Blimp1 at this locus is associated with altered chromatin status, reduced binding the co-activator p300, unaltered binding of the Th17-asssociated transcription factor RORt and more abundant binding of IRF4, which was required for the production of IL17A in Blimp1-deficient Foxp3+Tregcells, as shown by IRF4 siRNA-mediated knockdown. Consistent with their capacity to produce inflammatory cytokines, Blimp1-deficient Foxp3+Treg exacerbate Th17-mediated inflammation in vivo indicating that Blimp1 is required to prevent Treg cells from acquiring pathogenic properties

Publication Title

Differential regulation of Effector and Regulatory T cell function by Blimp1.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4935
wheat expression level polymorphism study 39 genotypes 2 biological reps
  • organism-icon Triticum aestivum
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 39 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material identified 1,327 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. A sub-set of 378 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present.

Publication Title

Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5942
Wheat expression level polymorphism study parentals and progenies from SB location
  • organism-icon Triticum aestivum
  • sample-icon 76 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5939
Wheat expression level polymorphism study 36 genotypes 2 biological reps from SB location
  • organism-icon Triticum aestivum
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 36 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material in location 2 identified 10,280 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. Of these 1,455 were identified in the point location as well. A sub-set of 542 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present.

Publication Title

Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4929
wheat expression level polymorphism study parental genotypes 2 biological reps
  • organism-icon Triticum aestivum
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 39 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material identified 1,327 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. A sub-set of 378 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present.

Publication Title

Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5937
Wheat expression level polymorphism study parental genotypes 2 biological reps from SB location
  • organism-icon Triticum aestivum
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 36 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material in location 2 identified 10,280 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. Of these 1,455 were identified in the point location as well. A sub-set of 542 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present.

Publication Title

Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP069755
FoxO1 Deacetylation Decreases Fatty Acid Oxidation in beta-cells and Sustains Insulin Secretion in Diabetes
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Pancreatic beta-cell dysfunction contributes to onset and progression of type 2 diabetes. In this state beta-cells become metabolically inflexible, losing the ability to select between carbohydrates and lipids as substrates for mitochondrial oxidation. These changes lead to beta-cell dedifferentiation. We have proposed that FoxO proteins are activated through deacetylation-dependent nuclear translocation to forestall the progression of these abnormalities. However, how deacetylated FoxO exert their actions remains unclear. To address this question, we analyzed islet function in mice homozygous for knock-in alleles encoding deacetylated FoxO1 (6KR). Islets expressing 6KR mutant FoxO1 have enhanced insulin secretion in vivo and ex vivo, and decreased fatty acid oxidation ex vivo. Remarkably, the gene expression signature associated with FoxO1 deacetylation differs from wild-type by only ~2% of the > 4,000 genes regulated in response to re-feeding. But this narrow swath includes key genes required for beta-cell identity, lipid metabolism, and mitochondrial fatty acid and solute transport. The data support the notion that deacetylated FoxO1 protects beta-cell function by limiting mitochondrial lipid utilization, and raise the possibility that inhibition of fatty acid oxidation in ß-cells is beneficial to diabetes treatment. Overall design: Examined 2 different feeding state and 2 different genotypes

Publication Title

FoxO1 Deacetylation Decreases Fatty Acid Oxidation in β-Cells and Sustains Insulin Secretion in Diabetes.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP022166
WTAP is a novel oncogenic protein in Acute Myeloid Leukemia
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Acute myeloid leukemia (AML) continues to have the lowest survival rates of all leukemias. Therefore, new therapeutic strategies are urgently needed to improve clinical outcomes for AML patients. Here, we report a novel role for Wilms’ tumor 1-associated protein (WTAP) in pathogenesis of AML. We have performed RNA-Seq in K562 cells with knockdown of WTAP to ascertain which genes it regulates. Overall design: We have 2 replicates of total RNA for K562 cells and 2 replicates with WTAP knocked down

Publication Title

WTAP is a novel oncogenic protein in acute myeloid leukemia.

Sample Metadata Fields

Subject

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accession-icon GSE64941
Expression data from mouse proprioceptive sensory neuron subclasses.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Proprioception relies on two main classes of proprioceptive sensory neurons (pSNs). These neurons innervate two distinct peripheral receptors in muscle, muscle spindles (MSs) or Golgi tendon organs (GTOs), and synapse onto different sets of spinal targets, but the molecular basis of their distinct pSN subtype identity remains unknown.

Publication Title

The PDZ-domain protein Whirlin facilitates mechanosensory signaling in mammalian proprioceptors.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE30505
Members of the H3K4 trimethylation complex regulate lifespan in a germline-dependent manner in C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

The plasticity of ageing suggests that longevity may be controlled epigenetically by specific alterations in chromatin state. The link between chromatin and ageing has mostly focused on histone deacetylation by the Sir2 family1, 2, but less is known about the role of other histone modifications in longevity. Histone methylation has a crucial role in development and in maintaining stem cell pluripotency in mammals3. Regulators of histone methylation have been associated with ageing in worms4, 5, 6, 7 and flies8, but characterization of their role and mechanism of action has been limited. Here we identify the ASH-2 trithorax complex9, which trimethylates histone H3 at lysine 4 (H3K4), as a regulator of lifespan in Caenorhabditis elegans in a directed RNA interference (RNAi) screen in fertile worms. Deficiencies in members of the ASH-2 complexASH-2 itself, WDR-5 and the H3K4 methyltransferase SET-2extend worm lifespan. Conversely, the H3K4 demethylase RBR-2 is required for normal lifespan, consistent with the idea that an excess of H3K4 trimethylationa mark associated with active chromatinis detrimental for longevity. Lifespan extension induced by ASH-2 complex deficiency requires the presence of an intact adult germline and the continuous production of mature eggs. ASH-2 and RBR-2 act in the germline, at least in part, to regulate lifespan and to control a set of genes involved in lifespan determination. These results indicate that the longevity of the soma is regulated by an H3K4 methyltransferase/demethylase complex acting in the C. elegans germline.

Publication Title

Members of the H3K4 trimethylation complex regulate lifespan in a germline-dependent manner in C. elegans.

Sample Metadata Fields

Treatment

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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