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accession-icon GSE17269
Gene Expression Profiles of CD21low B cells in Common Variable Immunodeficiency
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The homeostasis of circulating B cell subsets in the peripheral blood of healthy adults is well regulated, but in disease it can be severely disturbed. Thus, a subgroup of patients with common variable immunodeficiency (CVID) presents with an extraordinary expansion of an unusual B cell population characterized by the low expression of CD21. Since these circulating atypical B cells in the blood of CVID patients could not be assigned to any certain B cell differentiation stage in the periphery, they were designated as CD21low B cells. Although, CD21low B cells are polyclonal and unmutated IgM+IgD+ B cells like naive B cells in the peripheral blood, they reveal several distinct phenotypic and functional features.

Publication Title

Circulating CD21low B cells in common variable immunodeficiency resemble tissue homing, innate-like B cells.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP058363
mRNA Sequencing of skeletal muscle genes in wildtype and BCATm (BCAT2) KO mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Consumption of a protein containing meal by a fasted animal promotes protein accretion in skeletal muscle, in part through leucine stimulation of protein synthesis and indirectly through repression of protein degradation mediated by its metabolite, a-ketoisocaproate. Mice lacking the mitochondrial branched-chain aminotransferase (BCATm/Bcat2), that interconverts leucine and a-ketoisocaproate, exhibit elevated protein turnover. Here, the transcriptomes of gastrocnemius muscle from BCATm knockout (KO) and wildtype mice were compared using Next Generation RNA-Sequencing (RNA-Seq) to identify potential adaptations associated with their persistently altered nutrient signaling. Statistically significant changes in the abundance of 1486/~39,010 genes were identified. Bioinformatics analysis of the RNA-Seq data indicated that pathways involved in protein synthesis (eIF2, mTOR, eIF4 and p70S6K pathways including 40S and 60S ribosomal proteins), protein breakdown (e.g., ubiquitin mediated), and muscle degeneration (apoptosis, atrophy, myopathy and cell death) were up-regulated. Also in agreement with our previous observations, the abundance of mRNAs associated with reduced body size, glycemia, plasma insulin, and lipid signaling pathways were observed in BCATm KO mice. Consistently, genes encoding anaerobic and/or oxidative metabolism of carbohydrate, fatty acids and BCAAs were modestly but systematically reduced. Although there was no indication that muscle fiber type was different between KO and wildtype mice, a difference in the abundance of mRNAs associated with a muscular dystrophy phenotype was observed, consistent with the published exercise intolerance of these mice. The results suggest transcriptional adaptations occur in BCATm KO mice that along with altered nutrient signaling may contribute to their previously reported protein turnover, metabolic and exercise phenotypes. Overall design: Comparison of wildtype and BCATm KO gastrocnemius biological replicates

Publication Title

Global deletion of BCATm increases expression of skeletal muscle genes associated with protein turnover.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP053407
Evidence from mRNA-Sequencing that Acute Olanzapine Infusion is Initiating a Skeletal Muscle Fiber Type Transition In Rat Gastrocnemius
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The purpose of this study was to examined the acute actions of the second generation antipsychotic (SGA), olanzapine, on skeletal muscle (gastrocnemius) of Sprague Dawley Rats. SGAs cause metabolic side effects including leading to metabolic inflexibility, hyperglycemia, adiposity and diabetes. These effects are preceded by glucose intolerance and increased FFA flux and metabolism in peripheral tissues. Skeletal muscle is a likely target of glucose intolerance, therefore understanding how olanzapine affects the skeletal muscle transcriptome could elucidate approaches for mitigating these side effects. Male Sprague-Dawley rats freely fed on normal chow with comparable body weights (vehicle: 373±9g, olanzapine: 388±11g, p=0.34) were infused with vehicle or olanzapine for 24h using a dosing regimen leading to mild hyperglycemia (vehicle, 98±2mg/dl; olanzapine 127±4mg/dl, p=0.0023). For the olanzapine group, the venous catheter was attached to a syringe pump (Model NE-300) filled with olanzapine (Dr. Reddy’s Laboratories Ltd, Hyderabad, India) in sterile saline (infusion: 1mg/100g BW loading dose for 0.5h and then 0.04mg/100g/h continuously for 23.5h). Gastrocnemius was then surgically removed under isoflurane anesthesia (carried with 100% O2), and frozen between two aluminum blocks cooled to the temperature of liquid nitrogen and then stored at -80oC until RNA was isolated. With anesthesia gas flow continuing, the animals were euthanized by cutting the diaphram and removing the heart. The mRNA was isolated from from these muscles and used for RNA-Seq followed by alignment of the data with the rat genome assembly 5.0. To determine significant differences in FPKM values between control and olanzapine groups, the DEGexp function of the DEGseq 1.18.0 R package was used with the Likelihood Ratio Test (LRT) and default parameters. In the uploaded excel file, P values with p<0.05 and p<0.001 are shown for each row in different columns indicated by the number 1. The value 0 indicates the row is not significantly different. Overall design: Comparison of vehicle (n=3) and olanzapine infused (n=3) rats.

Publication Title

RNA sequencing reveals a slow to fast muscle fiber type transition after olanzapine infusion in rats.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP061101
RNA sequencing of olfactory bulb projection neurons in neurotensin-GFP (NTS-GFP) mice at different developing time points
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Characterize the spatiotemporal dynamics of gene expression in neurons in developing olfactory bulb Overall design: Comparison of transcriptome profiles of GFP+ and GFP- cells derived from olfactory bulb of NTS-GFP at different developmetal time points (E13, E15, E17 and P0).

Publication Title

RNA-seq analysis of developing olfactory bulb projection neurons.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP009373
Circular RNAs are the predominant transcript isoform from hundreds of human genes in diverse cell types
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Most human pre-mRNAs are spliced into linear molecules that retain the exon order defined by the genomic sequence. By deep sequencing of RNA from a variety of normal and malignant human cells, we found RNA transcripts from many human genes in which the exons were arranged in a non-canonical order. Statistical estimates and biochemical assays provided strong evidence that a substantial fraction of the spliced transcripts from hundreds of genes are circular RNAs. Our results suggest that a non-canonical mode of RNA splicing, resulting in a circular RNA isoform, is a widespread and perhaps general feature of the gene expression program in human cells. Overall design: 3 samples of non-malignant primary human leukocytes, one replicate each

Publication Title

Circular RNAs are the predominant transcript isoform from hundreds of human genes in diverse cell types.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE33672
Expression data of NCI-H441 cells stably expressing hsa-mir-365-2 vs empty vector
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Hsa-mir-365-2 is one of the two precursors that give rise to miR-365. We discovered that miR-365 directly regulates a lung cancer and developmental gene termed thyroid transcription factor 1 (TTF-1 or NKX2-1).

Publication Title

MiR-365 regulates lung cancer and developmental gene thyroid transcription factor 1.

Sample Metadata Fields

Cell line

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accession-icon GSE71730
Plasma induced signatures reveal an extracellular milieu possessing an immunoregulatory bias in treatment nave inflammatory bowel disease
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we apply this approach to inflammatory bowel disease by examining groups of Crohn's disease (CD) and ulcerative colitus (UC) patients. The induced plasma induced signatures are compared to those of Type 1 diabetes patients (RO T1D) as well as unrelated healthy controls (uHC).

Publication Title

Plasma-induced signatures reveal an extracellular milieu possessing an immunoregulatory bias in treatment-naive paediatric inflammatory bowel disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP108941
Construction of a synthetic RNA-seq data set for testing of fusion detection algorithms
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina Genome Analyzer II

Description

Gene fusions are known to play critical roles in tumor pathogenesis. However, sensitive and specific algorithms to detect gene fusions in cancer do not currently exist. Although real RNA-seq data from cell lines or tumors can be used in testing new fusion detection algorithms, it is impossible to know the true sensitivity or specificity of an algorithm without knowing the "ground truth". For this reason we designed a synthetic control data set to assess the true and false positive and negative fusions of a a new fusion detection algorithm.

Publication Title

Statistical algorithms improve accuracy of gene fusion detection.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP051472
Induction of circular RNA in fetal heart development recapitulated in in vitro differentiation
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We discovered induction of circular RNA in human fetal tissues, including the heart. In this study, we were able to recapitulate this induction by in vitro directed differentiation of hESCs to cardiomyocytes, paving the way for future studies into circular RNA regulation. Overall design: We harvested hESCs at sequential stages of differentiation: undifferentiated (day 0), mesoderm (day 2), cardiac progenitor (day 5) and definitive cardiomyocyte (day 14). We performed RNA sequencing in biological triplicate, with 3-8 technical replicates each.

Publication Title

Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP051249
Tissue-specific circular RNA induction during human fetal development
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The pervasive expression of circular RNA from protein coding loci is a recently discovered feature of many eukaryotic gene expression programs. Computational methods to discover and quantify circular RNA are essential to the study of the mechanisms of circular RNA biogenesis and potential functional roles they may play. In this paper, we present a new statistical algorithm that increases the sensitivity and specificity of circular RNA detection.by discovering and quantifying circular and linear RNA splicing events at both annotated exon boundaries and in un-annotated regions of the genome Unlike previous approaches which rely on heuristics like read count and homology between exons predicted to be circularized to determine confidence in prediction of circular RNA expression, our algorithm is a statistical approach. We have used this algorithm to discover general induction of circular RNAs in many tissues during human fetal development. We find that some regions of the brain show marked enrichment for genes where circular RNA is the dominant isoform. Beyond this global trend, specific circular RNAs are tissue specifically induced during fetal development, including a circular isoform of NCX1 in the developing fetal heart that, by 20 weeks, is more highly expressed than the linear isoform as well as beta-actin. In addition, while the vast majority of circular RNA production occurs at canonical U2 (major spliceosome) splice sites, we find the first examples of developmentally induced circular RNAs processed by the U12 (minor) spliceosome, and an enriched propensity of U12 donors to splice into circular RNA at un-annotated, rather than annotated, exons. Together, our algorithm and its results suggest a potentially significant role for circular RNA in human development. Overall design: 35 human fetal samples from 6 tissues (3 - 7 replicates per tissue) collected between 10 and 20 weeks gestational time were sequenced using Illumina TruSeq Stranded Total RNA with Ribo-Zero Gold sample prep kit.

Publication Title

Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development.

Sample Metadata Fields

No sample metadata fields

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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