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accession-icon GSE51626
Role of NPR1 in SA mediated transcription
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Affymetrix expression analysis was used to validate the role of NPR1 in SA mediated transcription.

Publication Title

Global nucleosome positioning regulates salicylic acid mediated transcription in Arabidopsis thaliana.

Sample Metadata Fields

Specimen part

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accession-icon GSE36228
Affymetrix Cotton Genome array expression data of cotton fiber at different developmental stages from different varieties of Gossypium hirsutum
  • organism-icon Gossypium hirsutum
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Cotton Genome Array (cotton)

Description

Cotton fiber were used for the expression analysis at different developmental stages

Publication Title

Transcriptome dynamics during fibre development in contrasting genotypes of Gossypium hirsutum L.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40493
Bcl6-deficient regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

gene expression data from wild-type and Bcl6-/- regulatory T cells

Publication Title

Bcl6 controls the Th2 inflammatory activity of regulatory T cells by repressing Gata3 function.

Sample Metadata Fields

Specimen part

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accession-icon SRP187323
Adaptive plasticity of IL10 + and IL35 + regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Regulatory T cells (T regs) maintain host self-tolerance but are a major barrier to effective cancer immunotherapy. T regs subvert beneficial anti-tumor immunity by modulating inhibitory receptor (IR) expression on tumor infiltrating lymphocytes (TILs); however, the underlying mediators and mechanisms remain elusive. Here we show that interleukin-10 (IL10) and interleukin-35 (IL35; Ebi3/IL12a heterodimer) are divergently expressed by T reg subpopulations in the tumor microenvironment (TME) and cooperatively promote intratumoral T cell exhaustion. T reg -restricted deletion of Il10 and/or Ebi3 resulted in delayed tumor growth, loss of multi-IR expression, and reduced intratumoral CD8 + T cell exhaustion signature. While Il10 or Ebi3 loss was associated with reduced expression of B lymphocyte-induced maturation protein-1 (BLIMP1; Prdm1), IL10 and IL35 differentially impacted effector versus memory T cell fates, respectively, highlighting their differential, partially overlapping but non-redundant regulation of anti-tumor immunity. Our results reveal previously unappreciated cooperative roles for IL10 and IL35, produced by limits effective anti-tumor immunity Overall design: TIL CD8 cells from Treg specific IL10, IL35 and double knockouts, sorted into populations based on exhaustion markers. TIL Tregs sorted based on IL10 and IL35 expression.

Publication Title

Adaptive plasticity of IL-10<sup>+</sup> and IL-35<sup>+</sup> T<sub>reg</sub> cells cooperatively promotes tumor T cell exhaustion.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP184268
Adaptive plasticity of IL10+ and IL35+ regulatory T cells cooperatively promote intratumoral T cell exhaustion
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Abstract: Regulatory T cells (Tregs) maintain host self-tolerance but are a major barrier to effective cancer immunotherapy. Tregs subvert beneficial anti-tumor immunity by modulating inhibitory receptor (IR) expression on tumor infiltrating lymphocytes (TILs); however, the underlying mediators and mechanisms remain elusive. Here we show that interleukin-10 (IL10) and interleukin-35 (IL35; a heterodimer of Ebi3 and IL12?) are reciprocally expressed by Treg-subpopulations in the tumor microenvironment (TME) and cooperatively promote intratumoral T cell exhaustion. Treg-restricted deletion of either Il10/Ebi3 or dual deletion resulted in delayed tumor growth and significant reduction of transcriptomic exhaustion signature associated with reduced expression of B lymphocyte-induced maturation protein-1 (BLIMP1; Prdm1). While the two cytokines share the BLIMP1 axis to drive multi-IR expression; they differentially impact effector vs. memory fate, highlighting their overlapping and non-redundant regulation of anti-tumor immunity. Our results reveal previously unappreciated adaptive plasticity in inhibitory cytokine expression pattern by Tregs in TME for maximal immunosuppression. Data purpose: to understand the segregated cytokine expression pattern and the preferential generation of single cytokine positive Treg subpopulations, we performed single cell RNASeq (scRNAseq) contrasting Tregs isolated from naïve, unchallenged LNs or day 14 B16 tumor from Foxp3Cre-YFP WT mice Overall design: LNs or day 14 B16 tumor from Foxp3Cre-YFP WT mice

Publication Title

Adaptive plasticity of IL-10<sup>+</sup> and IL-35<sup>+</sup> T<sub>reg</sub> cells cooperatively promotes tumor T cell exhaustion.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP010940
Radicicol treatment of Drosophila cells
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Drosophila S2 cells were treated with Heat-shock protein 90 (Hsp90) inhibitor radicicol for 15min, 30min and 1h. Poly(A) RNA was isolated and sequenced. Overall design: Kinetics of transcriptional response to Hsp90 inhibition

Publication Title

Hsp90 globally targets paused RNA polymerase to regulate gene expression in response to environmental stimuli.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon GSE66583
Expression profiles in Zbtb20-overexpressed neural precursor cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neural precursor cells (NPCs) are multipotent cells that can generate neurons, astrocytes, and oligodendrocytes in the mammalian central nervous system. Although Zbtb20 was expressed in NPCs, its functions in neural development are not fully understood. We performed microarray analysis to examine changes in gene expression between control and Zbtb20-overexpressed NPCs.

Publication Title

Zbtb20 promotes astrocytogenesis during neocortical development.

Sample Metadata Fields

Specimen part

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accession-icon GSE18361
Temporal gene expression analyisis from rice root (cv. Nipponbare) infected with Magnaporthe oryzae strain Guy11
  • organism-icon Oryza sativa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Magnaporthe oryzae causes rice blast, the most devastating foliar fungal disease of cultivated rice. During disease development the fungus simultaneously maintains both biotrophic and necrotrophic growth corresponding to a hemi-biotrophic life style. The ability of M. oryzae to also colonize roots and subsequently develop blast symptoms on aerial tissue has been recognized. The fungal root infection strategy and the respective host responses are currently unknown. Global temporal expression analysis suggested a purely biotrophic infection process reflected by the rapid induction of defense response-associated genes at the early stage of root invasion and subsequent repression coinciding with the onset of intracellular fungal growth. The same group of down-regulated defense genes was increasingly induced upon leaf infection by M. oryzae where symptom development occurs shortly post tissue penetration. Our molecular analysis therefore demonstrates the existence of fundamentally different tissue-specific fungal infection strategies and provides the basis for enhancing our understanding of the pathogen life style.

Publication Title

Tissue-adapted invasion strategies of the rice blast fungus Magnaporthe oryzae.

Sample Metadata Fields

Specimen part

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accession-icon SRP012463
Mixture models and wavelet transforms reveal high confidence RNA-protein interaction sites in MOV10 PAR-CLIP data
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

The Photo-Activatable Ribonucleoside-enhanced CrossLinking and ImmunoPrecipitation (PAR-CLIP) method was recently developed for global identification of RNAs interacting with proteins. The strength of this versatile method results from induction of specific T to C transitions at sites of interaction. However, current analytical tools do not distinguish between non-experimentally and experimentally induced transitions. Furthermore, geometric properties at potential binding sites are not taken into account. To surmount these shortcomings, we developed a two-step algorithm consisting of a non-parametric two-component mixture model and a wavelet-based peak calling procedure. Our algorithm can reduce the number of false positives up to 24% thereby identifying high confidence interaction sites. We successfully employed this approach in conjunction with a modified PAR-CLIP protocol to study the functional role of nuclear MOV10, a putative RNA helicase interacting with Argonaute2 and Polycomb. Our method, available as the R package wavClusteR, is generally applicable to any substitution-based inference problem in genomics. Overall design: The data comprises one MOV10 PAR-CLIP data file and one nuclear RNA-seq file

Publication Title

Mixture models and wavelet transforms reveal high confidence RNA-protein interaction sites in MOV10 PAR-CLIP data.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP090169
The evolutionary capacitor HSP90 buffers the regulatory effects of mammalian endogenous retroviruses.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The molecular chaperone heat shock protein 90 (HSP90) is thought to buffer genetic variation uncoupling phenotypic outcome from individual genotypes. HSP90 thus acts as an evolutionary capacitor by facilitating an accumulation of natural genetic variation. The molecular mechanism underlying the buffering ability is unclear, and HSP90-contingent genetic variation maps both to coding and non-coding parts of the genome. Our genome-wide data indicate that a compromised chaperoning activity of HSP90 causes derepression of endogenous retroviruses (ERVs) in mouse somatic cells. This results in an upregulation of host genes located in the neighborhood of pre-existing ERVs insertion sites. We provide genetic and biochemical evidence that HSP90 cooperates with KAP1/ SETDB1 histone methyltranferase pathway to repress ERVs. Individual mouse strains have unique integration sites of ERVs in their genomes. Consequently distinct genes are responsive to HSP90 inhibitor in different mouse strains depending on the position of the genes vis-à-vis strain-specific ERV insertion sites. Since ERVs have been exapted to drive novel transcriptional networks during mammalian evolution, HSP90 may have acted as a capacitor by buffering variation caused by ERV in non-coding regions of the genome. Our studies provide the first molecular framework by which HSP90 can mitigate genetic variation in gene-regulatory regions affecting gene expression and phenotypes. Overall design: We have performed RNA-seq in mouse embryonic stem cells, neuronal progenitor cells and bone-marrow-derived macrophages treated with NVP-AUY922 in triplicates.

Publication Title

The evolutionary capacitor HSP90 buffers the regulatory effects of mammalian endogenous retroviruses.

Sample Metadata Fields

Specimen part, 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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