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accession-icon GSE18329
Transcriptome changes triggered by Hyaloperonospora parasitica arabidopsis Noco2 in WT and wrky72 mutants at 96 hpt
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Functional characterization of AtWRKY72 using Arabidopsis T-DNA insertion lines showed that this gene is important for basal defense to root-knot nematode (RKN) and Hyaloperonospora parasitica arabidopsis (Hpa), but not several tested R gene-mediated defenses.To profile transcriptional reprogramming associated with AtWRKY72-dependent basal defense we used Affymetrix ATH1 GeneChips representing ~24,000 Arabidopsis genes. Three independent biological replicates were performed with Col-0, wrky72-1 and wrky72-2 plants at 96 hpt with HpaNoco2 or mock treatment. Using a false discovery rate of less than 0.05 we identified for each of these three lines genes that showed significant transcriptional changes in response to HpaNoco2 compared to the mock-treated controls. Identification of downstream targets of WRKY72 in Arabidopsis by this microarray suggests that WRKY72 uses a unique signaling pathway that involves AP2/ERF TFs independent of the ethylene signaling pathway.

Publication Title

WRKY72-type transcription factors contribute to basal immunity in tomato and Arabidopsis as well as gene-for-gene resistance mediated by the tomato R gene Mi-1.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP136487
Evaluation of the post-stroke transcriptome of the mouse cortex using genome-wide RNA-seq
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA-sequencing was conducted to profile the transcriptome of the post-ischemic mouse cortex at multiple reperfusion time-points. RNA was isolated from sham and middle cerebral artery occlusion (MCAO)-operated mice at different reperfusion time points (6 h, 12 h or 24 h; three independent biological replicates per group), converted into cDNA libraries, and used for Illumina deep sequencing on a NexSeq500 instrument. The sequencing reads that passed quality filters were analyzed at the transcript isoform level based on the Tuxedo software package. On average 40.6 million reads were obtained from each sample and genome mapping was on average 82.9% for all samples. We detected 20,748 genes and 56,586 isoforms in the sham group; 22,192 genes and 60,023 isoforms in the 6 h group; 21,771 genes and 59,539 isoforms in the 12 h group; and 21,576 genes and 59,020 isoforms in the 24 h group. Our study represents the first detailed analysis of post-stroke mouse cortex transcriptomes generated using RNA-sequencing technology. Overall design: Genome-wide transcriptomic profiles of healthy and post-ischemic mouse cortices at various reperfusion time-points (6 h, 12 h, or 24 h) were generated using Illumina sequencing.

Publication Title

Deep Sequencing Reveals Uncharted Isoform Heterogeneity of the Protein-Coding Transcriptome in Cerebral Ischemia.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject, Time

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accession-icon GSE58173
Upregulation of immunoproteasome subunits in myositis indicates active inflammation with involvement of antigen presenting cells, CD8 T-cells and IFN
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective: In idiopathic inflammatory myopathies (IIM) infiltration of immune cells into muscle and upregulation of MHC-I expression implies increased antigen presentation and involvement of the proteasome system. To decipher the role of immunoproteasomes in myositis, we investigated individual cell types and muscle tissues and focused on possible immune triggers. Methods: Expression of constitutive (PSMB5, -6, -7) and corresponding immunoproteasomal subunits (PSMB8, -9, -10) was analyzed by real-time RT-PCR in muscle biopsies and sorted peripheral blood cells of patients with IIM, non-inflammatory myopathies (NIM) and healthy donors (HD). Protein analysis in muscle biopsies was performed by western blot. Affymetrix HG-U133 platform derived transcriptome data from biopsies of different muscle diseases and from immune cell types as well as monocyte stimulation experiments were used for validation, coregulation and coexpression analyses. Results: Real-time RT-PCR revealed significantly increased expression of immunoproteasomal subunits (PSMB8/-9/-10) in DC, monocytes and CD8+ T-cells in IIM. In muscle biopsies, the immunosubunits were elevated in IIM compared to NIM and exceeded levels of matched blood samples. Proteins of PSMB8 and -9 were found only in IIM but not NIM muscle biopsies. Reanalysis of 78 myositis and 20 healthy muscle transcriptomes confirmed these results and revealed involvement of the antigen processing and presentation pathway. Comparison with reference profiles of sorted immune cells and healthy muscle confirmed upregulation of PSMB8 and -9 in myositis biopsies beyond infiltration related changes. This upregulation correlated highest with STAT1, IRF1 and IFN expression. Elevation of T-cell specific transcripts in active IIM muscles was accompanied by increased expression of DC and monocyte marker genes and thus reflects the cell type specific involvement observed in peripheral blood. Conclusions: Immunoproteasomes seem to indicate IIM activity and suggest that dominant involvement of antigen processing and presentation may qualify these diseases exemplarily for the evolving therapeutic concepts of immunoproteasome specific inhibition.

Publication Title

Upregulation of immunoproteasome subunits in myositis indicates active inflammation with involvement of antigen presenting cells, CD8 T-cells and IFNΓ.

Sample Metadata Fields

Specimen part

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accession-icon GSE153716
TMBIM6/BI-1 contributes to cancer progression through assembly with mTORC2 and AKT activation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Transmembrane B cell lymphoma 2-associated X protein inhibitor motif-containing (TMBIM) 6, a Ca2+ channel-like protein, is highly upregulated in several cancer types. Here, we show that TMBIM6 is closely associated with survival in patients with cervical, breast, lung, and prostate cancer. TMBIM6 deletion or knockdown suppressed primary tumor growth. Further, mTORC2 activation was up-regulated by TMBIM6 and stimulated glycolysis, protein synthesis, and the expression of lipid synthesis genes and glycosylated proteins. Moreover, ER-leaky Ca2+ from TMBIM6, a unique characteristic, was shown to affect mTORC2 assembly and its association with ribosomes. In addition, we identified that BIA compound, a suggestive TMBIM6 antagonist, prevented TMBIM6 binding to mTORC2, decreased mTORC2 activity, and also regulated TMBIM6-leaky Ca2+, further suppressing tumor formation and progression in cancer xenograft models. This previously unknown signaling cascade in which mTORC2 activity is enhanced via the interaction with TMBIM6 provides effective therapeutic targets for various malignancies.

Publication Title

TMBIM6/BI-1 contributes to cancer progression through assembly with mTORC2 and AKT activation.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP154474
RNA-seq and flow-cytometry of conventional, scalp, and palmoplantar psoriasis reveal shared and distinct molecular pathways
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 4000

Description

It has long been recognized that anatomic location is an important feature for defining distinct subtypes of plaque psoriasis. However, little is known about the molecular differences between scalp, palmoplantar, and conventional plaque psoriasis. To investigate the molecular heterogeneity of these psoriasis subtypes, we performed RNA-seq and flow cytometry on skin samples from individuals with scalp, palmoplantar, and conventional plaque psoriasis, along with samples from healthy control patients. We performed differential expression analysis and network analysis using weighted gene coexpression network analysis (WGCNA). Our analysis revealed a core set of 763 differentially expressed genes common to all sub-types of psoriasis. In contrast, we identified 605, 632, and 262 genes uniquely differentially expressed in conventional, scalp, and palmoplantar psoriasis, respectively. WGCNA and pathway analysis revealed biological processes for the core genes as well as subtype-specific genes. Flow cytometry analysis revealed a shared increase in the percentage of CD4+ T regulatory cells in all psoriasis subtypes relative to controls, whereas distinct psoriasis subtypes displayed differences in IL-17A, IFN-gamma, and IL-22 production. This work reveals the molecular heterogeneity of plaque psoriasis and identifies subtype-specific signaling pathways that will aid in the development of therapy that is appropriate for each subtype of plaque psoriasis. Overall design: Transcriptomic profiles were obtained from palmoplantar (n = 3), scalp (n = 8), and conventional psoriatic skin (n = 8) as well as healthy control skin (n = 9) biopsies on the Illumina HiSeq 2000/4000 platforms. Multi-parameter FACS was also performed on each biopsy sample to obtain T cell populations (CD4+ T effectors, CD8+ T cells, and CD4+Foxp3+ Tregs).

Publication Title

RNA-seq and flow-cytometry of conventional, scalp, and palmoplantar psoriasis reveal shared and distinct molecular pathways.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE58659
Transcript profile comparison of Zbtb20-sufficient and Zbtb20-deficient polyclonal bone marrow plasma cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

ZBTB20 is an adjuvant-specific factor for long-term antibody responses. This factor is critical for maintaining long-lived plasma cells in alum-adjuvanted antibody responses but is dispensable for TLR ligand-adjuvanted responses.

Publication Title

Adjuvant-specific regulation of long-term antibody responses by ZBTB20.

Sample Metadata Fields

Specimen part

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accession-icon SRP158618
Using Gjd3-CreEGFP mice to examine atrioventricular node morphology and composition
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconNextSeq 500

Description

Gjd3-CreEGFP mice is a novel genetic tool to study the structural and molecular signatures of Atrioventricular Node (AVN) at a high resolution. Overall design: Focusing on the cardiac conduction system, we developed and rigorously characterized a geentic tool Gjd3-CreEGFP to perform in-depth analysis of AVN structure and composition. Utilizing this AVN-specific mouse model, we performed scRNA-Seq on neonatal Gjd3-CreEGFP mice to guide our single-cell atlas of the Atrio-ventricular conduction system (AVCS).

Publication Title

Using Gjd3-CreEGFP mice to examine atrioventricular node morphology and composition.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE79212
Gene expression analysis in wild-type and OsHOX24 rice overexpression line under control and drought stress conditions
  • organism-icon Oryza sativa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice (US) Gene 1.0 ST Array (rusgene10st)

Description

Several homeobox genes belonging to HD-ZIP I subfamily are highly induced by drought stress at various developmental stages in rice. To analyze the role of a candidate HD-ZIP I subfamily member, OsHOX24, we constitutively overexpressed it in rice. The physiological analyses revealed that overexpression of OsHOX24 gene reduced drought stress tolerance in transgenic plants as compared to wild-type.

Publication Title

Over-Expression of <i>OsHOX24</i> Confers Enhanced Susceptibility to Abiotic Stresses in Transgenic Rice via Modulating Stress-Responsive Gene Expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE79188
Gene expression analysis in wild-type and OsHOX24 Arabidopsis overexpression line
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Homeobox transcription factors are known to regulate plant growth and development. Recently, they have also been implicated in abiotic stress responses. To analyze the role of HD-ZIP I subfamily member, OsHOX24, we constitutively overexpressed it in Arabidopsis. The physiological analyses revealed that overexpression of OsHOX24 gene severely reduced abiotic stress tolerance in transgenic plants as compared to wild-type.

Publication Title

Characterization of Rice Homeobox Genes, OsHOX22 and OsHOX24, and Over-expression of OsHOX24 in Transgenic Arabidopsis Suggest Their Role in Abiotic Stress Response.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE67104
Granulocyte colony-stimulating factor reprograms bone marrow stromal cells to actively suppress B lymphopoiesis in mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

G-CSF treatment targets CXCL12-abundant reticular (CAR) cells to suppress their production of a number of B trophic factors, including CXCL12, IL-6, IL-7, IGF-1, and Flt3 ligand.

Publication Title

Granulocyte colony-stimulating factor reprograms bone marrow stromal cells to actively suppress B lymphopoiesis in mice.

Sample Metadata Fields

Treatment

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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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