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accession-icon SRP094125
Integration of kinase and calcium signaling at the level of chromatin underlines inducible gene activation in T cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon

Description

Aim: to perform a genome-wide investigation of chromatin landscape and gene expression patterns downstream of calcium and kinase signaling in Jurkat T cells. Methods: PMA and ionomycin were used to activate the calcium and kinase signalling networks involved in T cell activation. Global gene expression was measured using RNA-seq, whilst ATAC-seq was used to probe chromatin landscape following 3 hours of stimulation with PMA, ionomycin or both. All experiments were performed in triplicate. For RNA-seq all sequencing was performed using paired-end sequencing on an Illumina HiSeq2500 instrument. For ATAC-seq sequencing was performed using a HiSeq 1500. Results: we mapped approximately 60 million reads per sample for ATAC-seq, and 22 million reads per library for RNA-seq. Overall we identified 57,825 transcripts and 19,763 ATAC-seq peaks. We identifiead 1648 genes whose expression was increased by 2-fold or more by at least one treatment in comparison to untreated cells. Similarly, we identified 3972 ATAC peaks that were induced by at least 2-fold by treatment in comparison to untreated cells. Conclusions: we found that chromatin landscape was associated with gene expression downstream of calcium and kinase signaling in Jurkat cells. Further to this we found that activation of the full complement of TCR-responsive genes is dependent upon both PMA and ionomycin, and amounts to more than just the sum of both. Overall design: RNA-sequencing and ATAC-sequencing were performed after 3 hours of treatment with either PMA, ionomycin or co-treatment with PMA and ionomycin.

Publication Title

Integration of Kinase and Calcium Signaling at the Level of Chromatin Underlies Inducible Gene Activation in T Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39044
Regulon of transcriptional regulator PA2449 in Pseduomonas aeruginosa PAO1
  • organism-icon Pseudomonas aeruginosa pao1, Pseudomonas aeruginosa
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

The putative trancriptional regulator PA2449 was found to be essential for both glycine/serine metabolism and the production of phenazines in P. aeruignosa PAO1.

Publication Title

Gene PA2449 is essential for glycine metabolism and pyocyanin biosynthesis in Pseudomonas aeruginosa PAO1.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE54032
Transcriptional response to 2-oxoglutarate (alpha-ketoglutarate) in Pseduomonas aeruginosa PAO1
  • organism-icon Pseudomonas aeruginosa pao1
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

The transcriptome of P. aeruginosa PAO1 in the presence of extracelluar 2-oxoglutarate at a concentration of 20 mM.

Publication Title

Genetic analysis of the assimilation of C5-dicarboxylic acids in Pseudomonas aeruginosa PAO1.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP073608
Aging, microglia and cytoskeletal regulation are key factors in the pathological evolution of the APP23 mouse model for Alzheimer’s disease
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Aging is a key factor in Alzheimer''s disease, but it''s correlation with the pathology and pathological factors like amyloid-beta remains unclear In our study we aimed to provide an extensive characterisation of age-related changes in the gene expression profile of APP23 mice and controls and correlate these changes to pathological and symptomatic features of the model We found a clear biphasic expression profile with a developmental and aging phase. The second phase, particularly, displays aging features and similarties with the progression of Alzheimer pathology in human patients Processes involved in microglial activation, lysosomal processing, neuronal differantion and cytoskeletal regulation appear key factors in this stage. Interestingly, the changes in the gene expression profile of APP23 mice also seem to occur in control animals, but at a later age. The changes appear accelerated and/or exacerbated in APP23 mice. Overall design: mRNA profiles of APP23 mice and wild-type control littermates aged 1.5, 6, 18 or 24 months. For all the age groups, samples of 3 mice of each genotype were analyzed

Publication Title

Aging, microglia and cytoskeletal regulation are key factors in the pathological evolution of the APP23 mouse model for Alzheimer's disease.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE33398
Transcriptome analysis of trichothecene-induced gene expression in barley
  • organism-icon Hordeum vulgare
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Fusarium Head Blight susceptible barley variety, Morex, was infected with deoxynivalenol production deficient mutant strain (GZT40) and wild type stains (Z3639) of Fusarium graminearum. The RNA was sampled at 48 and 96 hours after inoculation. and was used hybridize to Barley_1 GeneChip. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Jayanand Boddu. The equivalent experiment is BB52 at PLEXdb.]

Publication Title

Transcriptome analysis of trichothecene-induced gene expression in barley.

Sample Metadata Fields

Specimen part

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accession-icon SRP089875
Zebrafish microglia transcriptome
  • organism-icon Danio rerio
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Purpose: Identify zebrafish microglia transcriptome in the healthy and neurodegenerative brain. Methods: RNA sequencing was performed on FACS-sorted microglia (3x), other brain cells (3x) and activated microglia (4x). Microglia activation was induced using nitroreductase-mediated cell ablation. 10-20 million reads per sample were obtained. Reads were mapped to zebrafish genome GRC10. Results: We identified the zebrafish microglia transcriptome, which shows overlap with previously identified mouse microglia transcriptomes. Transcriptomes obtained 24h and 48h after treatment appeared highly similar. Therefore, these datasets were pooled. Additionally, we identified an acute proliferative response of microglia to induced neuronal cell death. Overall design: Zebrafish microglia transcriptomes of homeostatic microglia (triplicate), other brain cells (triplicate), activated microglia 24h (duplo), activated microglia 48h (duplo). In data analysis all activated microglia samples were pooled.

Publication Title

Identification of a conserved and acute neurodegeneration-specific microglial transcriptome in the zebrafish.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33407
Barley cv Morex inoculated with Fusarium graminearum and water as mock control
  • organism-icon Hordeum vulgare
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Barley cv. Morex inoculated with Fusarium graminearum (isolate Butte 86) or water (mock). Sampled at 24, 48, 72, 96 and 144 hours after treatment. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Jayanand Boddu. The equivalent experiment is BB9 at PLEXdb.]

Publication Title

Transcriptome analysis of the barley-Fusarium graminearum interaction.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE7640
Gene expression profile induced by moderate physical exercise in heart left ventricles in rats
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Physical exercise training is a known protective factor against cardiovascular morbidity and mortality. Nevertheless, the underlying specific molecular mechanisms still remain uncompletely explored. To identify molecular mechanisms by which exercise training induces this favorable phenotype a genomic approach was used in an animal model of mild exercise previously demonstrated by our group to induce cardioprotection.

Publication Title

Gene expression profile of rat left ventricles reveals persisting changes following chronic mild exercise protocol: implications for cardioprotection.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33405
Barley host response to the direct application of the trichothecene mycotoxin deoxynivalenol
  • organism-icon Hordeum vulgare
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Barley florets (cv. Morex) were treated with 2.0 microgram deoxynivalenol per floret via a 10 microliter solution or mock inoculated with water. Samples were collected at 1, 12, 24, and 48 hours after inoculation. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Stephanie A. Gardiner. The equivalent experiment is BB62 at PLEXdb.]

Publication Title

Transcriptome analysis of the barley-deoxynivalenol interaction: evidence for a role of glutathione in deoxynivalenol detoxification.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon SRP071039
Novel neuroprotective and neurogenic phenotype of microglia
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: Tissue macrophages contribute to development and protection, both requiring appropriately timed and located source(s) of factors controlling growth, cell differentiation and migration. Goal: To understand the role of microglia (tissue macrophages of the central nervous system), in promoting neurodevelopment and controlling neuroinflammation. Summary of findings: We show that microglia fulfill both these roles. In contrast to adult cells, neonatal microglia show a unique neurogenic phenotype with stem cell-like potential. Neonatal microglia are protective against neuroinflammation, and their transplantation ameliorates experimental autoimmune encephalomyelitis. A CD11c+ microglial subset predominates in primary myelinating areas of the developing brain and expresses genes for neuronal and glial survival, migration and differentiation. CD11c+ microglia are also found in clusters of repopulating microglia after experimental ablation and in neuroinflammation in adult mice, but despite some similarities, they do not recapitulate neurogenic neonatal microglia characteristics. Conclusions: We therefore identify a unique phenotype of neonatal microglia that deliver signals necessary for neurogenesis and myelination and suppress neuroinflammation. Overall design: The overall design was to compare transcriptomes of subsets of microglia isolated from neonatal mice, healthy adults, and adult mice with a neuroinflammatory disease (Experimental autoimmune encephalomyelitis, EAE), and to compare anti-inflammatory function of adult and neonatal microglia. Microglia were isolated by cell-sorting based on surface phenotype, and RNAseq data was analyzed using WGCNA, GO and DAVID approaches. Expression of selected genes and pathways was confirmed by histology and flow cytometry. Functional analysis involved transfer of isolated microglia to the central nervous system of animals with EAE and evaluation of outcome. EAE = Experimental autoimmune encephalomyelitis

Publication Title

A novel microglial subset plays a key role in myelinogenesis in developing brain.

Sample Metadata Fields

Subject

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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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