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accession-icon SRP058709
Transcriptome Profiling of Developing Murine Lens through RNA Sequencing
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

Purpose: Transcriptome is the entire repertoire of all transcripts present in a cell at any particular time. We undertook next-generation whole transcriptome sequencing approach to gain insight of the transcriptional landscape of the developing mouse lens. Methods: We ascertained mice lenses at six developmental time points including two embryonic (E15 and E18) and four postnatal stages (P0, P3, P6, and P9). The ocular tissue at each time point was maintained as two distinct pools serving as biological replicates for each developmental stage. The mRNA and small RNA libraries were paired-end sequenced on Illumina HiSeq 2000 and subsequently analyzed using bioinformatics tools. Results: Mapping of mRNA and small RNA libraries generated 187.56 and 154.22 million paired-end reads, respectively. We detected a total of 14,465 genes in the mouse ocular lens. Of these, 46 genes exhibited 40-fold differential expression compared to transcriptional levels at E15. Likewise, small RNA profiling identified 379 microRNAs (miRNAs) expressed in mouse lens. Of these, 49 miRNAs manifested an 8-fold or higher differential expression when compared, as above to the microRNA expression at E15. Conclusion: We report the first comprehensive profile of developing murine lens transcriptome including both mRNA and miRNA through next-generation RNA sequencing. A complete repository of the lens transcriptome of six developmental time points will be monumental in elucidating processes essential for development of the ocular lens and maintenance its transparency. Overall design: Whole transcrtiome and microRNA profilling of mouse lens using 2 embryonic (E15 and E18) and 4 postnatal stages (P0, P3, P6 and P9) in duplicates through high-throughput sequening using Illumina HiSeq2000.

Publication Title

Identification of novel transcripts and peptides in developing murine lens.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE135544
Gene expression of BAT from GRBATKO mice exposed to cold
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

GRBATKO_BAT_COLDEXPOSURE

Publication Title

The glucocorticoid receptor in brown adipocytes is dispensable for control of energy homeostasis.

Sample Metadata Fields

Specimen part

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accession-icon SRP181219
Gene Expression Analysis in NIH3T3 cells with control or RPRD1B knockdown
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To investigate the role of RPRD1B in regulating gene expression in NIH3T3 cells. Overall design: Examination of mRNA expression levels in cells with control or RPRD1B knockdown NIH3T3 cells

Publication Title

Crosstalk between RNA Pol II C-Terminal Domain Acetylation and Phosphorylation via RPRD Proteins.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP158468
Adipose tissue RNAseq in T-cell-specific IFNAR-deficient mice.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We sequenced whole adipose tissue from control and LCMV infected mice 6dpi, in control vs T cell-specific IFNAR knockoutmice to understand the transcriptional changes in adipose tissue upon loss of type I IFN-T cell singaling axis, and how it contributes to cachexia. Overall design: inguinal fat pad (after removing iLN) was used for sequencing in control and infected mice (LCMV clone13 2x10^6PFU), this was done in two genotypes (IFNARfl/fl) as controls, vs (IFNARfl/fl-CD4cre/+) as T-cell specific IFNAR knockouts.

Publication Title

CD8<sup>+</sup> T cells induce cachexia during chronic viral infection.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE47210
Gene expression of murine iDCs isolated from tolerized MOG35-55-infused/MOG35-55-immunized or MOG35-55-immunized mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Recent data from our group, demonstrate that infusion of myelin oligodendrocyte glycoprotein (MOG35-55) peptide, leads to induction of MOG35-55-specific Tregs and subsequent suppression of Experimental Autoimmune Encephalomyelitis (EAE), the mouse model of multiple sclerosis. Amelioration of EAE was accompanied by reduced MOG-specific Th1 and Th17 responses in the draining lymph nodes (dLNs). Phenotypic analysis of the dLNs of MOG-infused mice revealed a significant Treg-mediated reduction in the recruitment of 7AAD-CD3-CD19-CD11c+CD11bhighGr-1+ iDCs compared to non-infused control immunized mice. Focusing on the delineation of novel molecules/genes that are involved in the MOG-specific Treg-mediated suppression of autoimmune responses, we have isolated highly purified iDCs from MOG infused and non-infused control immunized mice.

Publication Title

De novo-induced self-antigen-specific Foxp3+ regulatory T cells impair the accumulation of inflammatory dendritic cells in draining lymph nodes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE54536
Involvement of endocytosis and alternative splicing in the formation of the pathological process in Parkinson's Disease
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We performed a whole-transcriptome analysis of the peripheral blood of untreated patients with stage 1 PD (HoehnYahr scale).

Publication Title

Involvement of endocytosis and alternative splicing in the formation of the pathological process in the early stages of Parkinson's disease.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE92916
Microarray expression data from mouse embryonic stem cells differentiated into Nkx2-1+ lung and thyroid progenitors
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The in vitro directed differentiation of pluripotent stem cells (PSCs) through stimulation of developmental signaling pathways can generate mature somatic cell types for basic laboratory studies or regenerative therapies.

Publication Title

Pluripotent stem cell differentiation reveals distinct developmental pathways regulating lung- versus thyroid-lineage specification.

Sample Metadata Fields

Treatment

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accession-icon GSE62699
Integrating mRNA and miRNA Co-Expression Networks with eQTLs in the Nucleus Accumbens of Human Chronic Alcoholics
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Alcohol consumption is known to lead to gene expression changes in the brain. After performing gene co-expression network analysis (WGCNA) of genome-wide mRNA and microRNA expressions in the Nucleus Accumbens (NAc) from subjects with alcohol dependence (AD) and matched controls six mRNA and three miRNA modules significantly correlated with AD after Bonferroni correction (adj. p 0.05) were identified. Cell-type-specific transcriptome analysis revealed two of the mRNA modules to be enriched for neuronal specific marker genes and downregulated in AD, whereas the remaining four were enriched for astrocyte and microglial specific marker genes and were upregulated in AD. Using gene set enrichment analysis, the neuronal specific modules were enriched for genes involved in oxidative phosphorylation, mitochondrial dysfunction and MAPK signaling, while the glial-specific modules were enriched mostly for genes involved in processes related to immune functions, i.e. reactome cytokine signaling in immune system (all adj. p 0.05). In the mRNA and miRNA modules, 461 and 25 candidate hub genes were identified, respectively. In contrast to the expected miRNAs biological functions, the correlation analyses between mRNA and miRNA hub genes revealed a significantly higher number of positive than negative correlations (chi-square p 0.0001). At FDR 0.1, integration of the mRNA and miRNA hubs genes expression with genome-wide genotypic data identified 591 cis-eQTLs and 62 cis-eQTLs for the mRNA and miRNA hubs, respectively. Adjusting for the number of tests, the mRNA cis-eQTLs were significantly enriched for AD GWAS signals in the Collaborative Study on Genetics of Alcohol (COGA) sample (adj. p=0.024), providing a novel biological role for these association signals. In conclusion, our study identified coordinated mRNA and miRNA co-expression changes in the NAc of AD subjects, and our genetic (cis-eQTL) analysis provides novel insights into the etiological mechanisms of AD.

Publication Title

Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE24006
A Leukemic Stem Cell Expression Signature is Associated with Clinical Outcomes in Acute Myeloid Leukemia
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Context: In many cancers, specific subpopulations of cells appear to be uniquely capable of initiating and maintaining tumors. The strongest support for this cancer stem cell model comes from transplantation assays in immune-deficient mice indicating that human acute myeloid leukemia (AML) is organized as a cellular hierarchy driven by self-renewing leukemia stem cells (LSC). This model has significant implications for the development of novel therapies, but its clinical significance remains unclear.

Publication Title

Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia.

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon SRP158422
Heterogeneity of Ly6G+Ly6C+ myeloid-derived suppressor cell (MDSC) infiltrates during S. aureus biofilm infection
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The two immune cell populations Myeloid-derived suppressor cells (MDSCs), monocytes (MONO) and neutrophils (PMNs) are difficult to differentiate because of shared surface marker expression. Here we utilize the integrin receptor CD11b combined with conventional Ly6G and Ly6C expression to more accurately separate cellular populations via FACS. Then we apply high-throughput RNA Sequencing to Ly6G+Ly6C+CD11bhigh MDSC, Ly6G+Ly6C+CD11blow PMN and Ly6G-Ly6C+ monocyte populations. A total of 6,466 genes were significantly differentially expressed in MDSCs vs. monocytes, whereas only 297 genes were significantly different between MDSCs and PMNs. A number of genes implicated in cell cycle regulation were identified, and in vivo EdU labeling revealed that over 75% of MDSCs proliferated locally at the site of S. aureus biofilm infection. Overall design: RNA-Seq of myeloid-derived suppressor cells (MDSCs), neutrophils (PMNs), and monocytes during S. aureus biofilm infection in mice

Publication Title

Heterogeneity of Ly6G<sup>+</sup> Ly6C<sup>+</sup> Myeloid-Derived Suppressor Cell Infiltrates during Staphylococcus aureus Biofilm Infection.

Sample Metadata Fields

Specimen part, Cell line, 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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