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accession-icon SRP150217
Widespread inter-individual gene expression variability in Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 165 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

A fundamental question in biology is how gene expression is regulated to give rise to a phenotype. However, transcriptional variability is rarely considered and could influence the relationship between genotype and phenotype. It is known in unicellular organisms that gene expression is often noisy rather than uniform and has been proposed to be beneficial when environmental conditions are unpredictable. However, little is known about transcriptional variability in multicellular organisms. Using transcriptomic approaches, we analysed gene expression variability over a 24 hours time-course between individual Arabidopsis thaliana plants growing in stable conditions. We identified hundreds of genes that exhibit high inter-individual variability and found that many are involved in environmental responses. We also identified factors that might facilitate gene expression variability, such as gene size, the number of transcription factors regulating a gene and the chromatin environment. These results will bring a new light into the impact of transcriptional variability in gene expression regulation in plants. Overall design: RNA-seq were generated for 14 individual seedlings for each of the 12 following time points: ZT2, ZT4, ZT6, ZT8, ZT10, ZT12 (just before dusk), ZT14, ZT16, ZT18, ZT20, ZT22 and ZT24 (just before dawn).

Publication Title

Widespread inter-individual gene expression variability in <i>Arabidopsis thaliana</i>.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE43936
Evaluation of effect of PTEN gene deletion in mouse CD4+ Th1 clones after stimulation
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

PTEN is thought to play a critical role in T cell activation by negatively regulating the PI3K signaling pathway important for cellular activation, growth, and proliferation. T cells from mice in which PTEN was conditionally deleted in the thymus were reported to display CD28-independent IL-2 production and relative resistance to anergy induction. However, such observations could have stemmed from alterations in T cell development due to early deletion in thymocytes. To directly eliminate PTEN in post-thymic T cells, we utilized CAR Tg x PTENflox/flox mice which enabled gene deletion using a Cre adenovirus in vitro. Gene expression profiling revealed a small subset of induced genes that were augmented upon PTEN deletion and T cell stimulation. Our results indicate that deletion of PTEN can augment the activation of post-thymic T cells. Nonetheless, PTEN inhibition may be a viable target for immune potentiation due to increased cytokine production by activated CD4+ cells.

Publication Title

Conditional deletion of PTEN in peripheral T cells augments TCR-mediated activation but does not abrogate CD28 dependency or prevent anergy induction.

Sample Metadata Fields

Specimen part

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accession-icon GSE5392
Expression profiling of human adult postmortem brain tissue from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex and orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

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accession-icon GSE5388
Adult postmortem brain tissue (dorsolateral prefrontal cortex) from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex) from patients with bipolar disorder and matched healthy controls. A cohort of 70 subjects was investigated and the final analysis included 30 bipolar and 31 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE13564
Gene expression in the human prefrontal cortex during postnatal development
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Fresh frozen post mortem prefrontal cortex tissue (Brodman area 46) was obtained from 44 individuals varying in age from 0 to 49 years. RNA was extracted from these samples and hybridized to HG133plus2.0 GeneChips. The data was used to examine patterns of gene expression over the course of human postnatal developmental and ageing.

Publication Title

Gene expression in the prefrontal cortex during adolescence: implications for the onset of schizophrenia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP080321
53BP1 integrates DNA repair and p53-dependent cell fate decisions via distinct mechanisms
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The tumor suppressor protein 53BP1, a pivotal regulator of DNA double-strand break (DSB) repair, was first identified as a p53-interacting protein over two decades ago, however its direct contributions to p53-dependent cellular activities remain undefined. Here, we reveal 53BP1 stimulates genome-wide p53-dependent gene transactivation and repression events in response to ionizing radiation (IR) and synthetic p53 activation. 53BP1-dependent p53 modulation requires both auto-oligomerization and tandem-BRCT domain mediated bivalent interactions with p53 and the ubiquitin-specific protease USP28. Loss of these activities results in inefficient p53-dependent cell-cycle checkpoint and exit responses. Furthermore, we demonstrate 53BP1-USP28 cooperation to be essential for normal p53-promoter element interactions and gene transactivation-associated events, yet dispensable for 53BP1-dependent DSB repair regulation. Collectively, our data provides a mechanistic explanation for 53BP1-p53 cooperation in controlling anti-tumorigenic cell fate decisions, and reveal these activities to be distinct and separable from 53BP1’s regulation of DNA double-strand break repair pathway choice. Overall design: We evaluated the transcriptional profiles of two 53BP1? cell lines and included a positive (WT) and a negative (p53?) controls. These cell lines were treated with Nutlin-3, ionising radiation or mock treated. Three independent replicates were included for each independent condition generating a total of 36 samples.

Publication Title

53BP1 Integrates DNA Repair and p53-Dependent Cell Fate Decisions via Distinct Mechanisms.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon GSE5389
Adult postmortem brain tissue (orbitofrontal cortex) from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls. Orbitofrontal cortex tissue from a cohort of 30 subjects was investigated and the final analysis included 10 bipolar and 11 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE5390
Expression profiling of human adult postmortem brain tissue from Down syndrome and healthy control subjects
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Down syndrome (DS) is the result of trisomy chromosome 21 but the mechanisms by which the genotype leads to the characteristic disease phenotype are unclear. We performed a microarray study using human adult brain tissue (dorsolateral prefrontal cortex) from DS subjects and healthy controls to characterise for the first time the human adult Down syndrome brain

Publication Title

Gene expression profiling in the adult Down syndrome brain.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon SRP101748
High throughput quantitative whole transcriptome analysis of individual macrophages 7 days post-pneumonectomy in a B6 CSF1R-GFP mouse
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using fluorescence activated cell sorting, we isolated CD45+, CSF1R-GFP+, F4/80+, Ly6G- mouse lung monocytes and macrophages at 7 days after pneumonectomy procedure. We then used microfluidic single cell RNA-sequencing to transcriptional profile unique myeloid subsets. Using the pneumonectomy dataset, we identified 6 cell groups and 4 gene groups that marked several regenerative macrophage subsets including CCR2+, Ly6C+ monocytes and CD206+, Chil3+ M2-like macrophages. Overall design: individual macrophages 7 days post-pneumonectomy in a B6 CSF1R-GFP mouse

Publication Title

Recruited Monocytes and Type 2 Immunity Promote Lung Regeneration following Pneumonectomy.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP101749
High throughput quantitative whole transcriptome analysis of individual macrophages 7 days post-sham thoracotomy in B6 CSF1R-GFP mice
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using fluorescence activated cell sorting, we isolated CD45+, CSF1R-GFP+, F4/80+, Ly6G- mouse lung monocytes and macrophages at 7 days after sham thoracotomy procedures. We then used microfluidic single cell RNA-sequencing to transcriptional profile unique myeloid subsets. Overall design: After sequencing 31 single cell transcriptomes were analyzed. Hierarcical and k-means clustering reveals several populations of macrophages are present in the lung.

Publication Title

Recruited Monocytes and Type 2 Immunity Promote Lung Regeneration following Pneumonectomy.

Sample Metadata Fields

Specimen part, Subject

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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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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