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accession-icon GSE1571
Muscle and Bone marrow SP and MP cells
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This study identified gene expression of Side Population (SP) and Main Population (MP) cells, isolated from adult murine skeletal muscle and Bone Marrow. Five different preparations of muscle SP, muscle MP, Bone marrw SP and Bone marrow MP cells were used as replicates.

Publication Title

Side population cells isolated from different tissues share transcriptome signatures and express tissue-specific markers.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP101991
RNA-Sequencing and proteomics approaches reveal multi-cellular deficits in the cortex of Rett syndrome mice
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Rett syndrome (RTT) is an X-linked neurodevelopmental disorder caused by mutations in the transcriptional regulator MeCP2. RTT is characterized by having apparently normal development until 6-18 months, when a progressive decline in motor and language functions begins and breathing abnormalities and seizures present. Despite intense research, the molecular targets of MeCP2 and their contribution to the disease are unknown. Here we present the first comprehensive and comparative transcriptomic and proteomic analysis in a RTT mouse model. Examining whole cortex tissue in symptomatic males (Mecp2Jae/y) and wild-type littermates, we have identified 391 genes and 465 proteins considered to be significantly altered. We observed an overall poor correlation between global gene and protein expression (Pearson correlation 0.12), yet 35 hits were common to both data sets, with 12 hits not described elsewhere. These 35 hits indicate disrupted cellular metabolism, calcium signaling, protein stability, DNA binding and cytoskeletal cell structure in the RTT cortex. Pathway analysis in both data sets identified biological pathways ubiquitous to multiple cell types as well as cell type specific pathways, underscoring the contributions of multiple central nervous system (CNS) cell populations to the disease pathogenesis. These findings prompted us to compare identified 'hits' to a publicly available database containing CNS cell type specific gene expression. This indicated approximately 32% of differentially expressed (DE) genes and 16% proteins were highly enriched in unique CNS cell types, while the remaining DE genes and proteins were ubiquitously expressed and not ascribable to any unique cell population. Our comparative transcriptome and proteome analysis in the cortex of RTT mice supports previous works indicating widespread CNS dysfunction. Overall design: Wild-type (WT) males were bred with heterozygous Mecp2tm1.1Jae/+ (Jaenisch) female mice. The whole cortex of mutant male mice (Mecp2Jae/y) along with WT littermates were collected after postnatal day 60 (P60+). An n of 4 biological replicates per genotype were used, with WT animals serving as controls. For RNA-Sequencing, 2 technical replicates were run per biological replicate.

Publication Title

RNA sequencing and proteomics approaches reveal novel deficits in the cortex of <i>Mecp2</i>-deficient mice, a model for Rett syndrome.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP049142
Mus musculus strain:CL57BL6x129 Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Identification of downstream genes of onecut transcriptions factors in the developing retina

Publication Title

Onecut1 and Onecut2 redundantly regulate early retinal cell fates during development.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP055444
Immunoglobulin transcript sequence and somatic hypermutation computation from unselected RNA-seq reads in Chronic Lymphocytic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

IGHV mutation status is a well-established prognostic factor in chronic lymphocytic leukemia, and also provides crucial insights into tumor cell biology and function. Currently, determination of IGHV transcript sequence, from which mutation status is calculated, requires a specialized laboratory procedure. RNA sequencing is a method that provides high resolution, high dynamic range transcriptome data that can be used for differential expression, isoform discovery, and variant determination. In this paper, we demonstrate that unselected next-generation RNA sequencing can accurately determine the IGH@ sequence, including the complete sequence of the complementarity-determining region 3 (CDR3), and mutation status of CLL cells, potentially replacing the current method which is a specialized, single-purpose Sanger-sequencing based test. Overall design: CLL cells were sequenced by mRNA-seq on the Illumina platform then subjected to the costom bioinformatic pipeline Ig-ID which yields IGH data

Publication Title

Immunoglobulin transcript sequence and somatic hypermutation computation from unselected RNA-seq reads in chronic lymphocytic leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE59125
Chemical conversion of human fibroblasts into functional Schwann cells
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the transcriptome-wide gene expression changes underlying chemical conversion of human fibroblasts into induced Schwann Cells over a time period of 39 days. We compared then the expression profiles of these induced Schwann Cells to primary Schwann cells.

Publication Title

Chemical conversion of human fibroblasts into functional Schwann cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP168212
Aging-associated patterns in the expression of human endogenous retroviruses
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human endogenous retroviruses (HERV) are relics of ancient retroviral infections in our genome. Most of them have lost their coding capacity, but proviral RNA or protein have been observed in several disease states (e.g. in inflammatory and autoimmune diseases and malignancies). However, their clinical significance as well as their mechanisms of action have still remained elusive. As human aging is associated with several biological characteristics of these diseases, we now analyzed the aging-associated expression of the individual proviruses of two HERV families, HERV-K (91 proviruses) and HERV-W (213 proviruses) using genome-wide RNA-sequencing (RNA-seq). RNA was purified from blood cells derived from healthy young individuals (n=7) and from nonagenarians (n=7). The data indicated that in the case of HERV-K (HML-2) 33 proviruses had a detectable expression but in only 3 of those the expression levels were significantly different between the young and old individuals. In the HERV-W family expression was observed in 45 loci and only in one case the young/old difference was significant. However, applying the hierarchical clustering on the HERV expression data resulted in the formation of two distinct clusters, one containing the young individuals and another the nonagenarians. This suggests, that even though the aging-associated differences in the expression levels of individual proviruses are minor, there seems to be some underlying aging-related pattern. These data indicate that aging does not have a strong effect on the expression of individual HERV proviruses, but instead several proviruses are affected moderately, leading to age-dependent expression profiles. Overall design: Seven peripheral blood mononuclear cell (PBMC) samples from healthy nonagenarians, aged 94, all female. Seven PBMC samples from healthy young laboratory personnel, aged 26 to 32 median age 28, all female. RNA-sequencing of the samples was done. Expression of genes and human endogenous retroviruses (HERVs) was quantified.

Publication Title

Effect of aging on the transcriptomic changes associated with the expression of the HERV-K (HML-2) provirus at 1q22.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE47109
BreastPRS is a Gene Expression Assay that Stratifies Intermediate-Risk Oncotype DX Patients into High or Low-Risk for Disease Recurrence
  • organism-icon Homo sapiens
  • sample-icon 239 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Molecular prognostic assays, such as Oncotype DX, are increasingly incorporated into the management of patients with invasive breast carcinoma. BreastPRS is a new molecular assay developed and validated from a meta-analysis of publically available genomic datasets. We applied the assay to matched fresh-frozen (FF) and formalin-fixed paraffin embedded (FFPE) tumor samples to translate the assay to FFPE. A linear relationship of the BreastPRS prognostic score was observed between tissue preservation formats. BreastPRS recurrence scores were compared with Oncotype DX recurrence scores from 246 patients with invasive breast carcinoma and known Oncotype DX results. Using this series, a 120-gene linear discriminant algorithm (LDA) was trained to predict Oncotype DX risk groups and then applied to series of untreated, node-negative, estrogen receptor (ER) positive patients from previously published studies with known clinical outcomes. Correlation of recurrence score and risk group between Oncotype DX and BreastPRS was statistically significant (P<0.0001). 59 of 260 (23%) patients from four previously published studies were classified as intermediate-risk when the 120-gene LDA was applied. BreastPRS reclassified the 59 patients into binary risk groups (high vs. low-risk). 23 (39%) patients were classified as low-risk 36 (61%) as high-risk [P=0.029, HR: 3.64, 95% CI: 1.40 to 9.50]. At 10 years from diagnosis, the low-risk group had a 90% recurrence-free survival (RFS) rate, compared to 60% for the high-risk group. BreastPRS recurrence score is comparable to Oncotype DX and can reclassify Oncotype DX intermediate-risk patients into two groups with significant differences in RFS. Further studies are needed to validate these findings.

Publication Title

BreastPRS is a gene expression assay that stratifies intermediate-risk Oncotype DX patients into high- or low-risk for disease recurrence.

Sample Metadata Fields

Disease stage

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accession-icon SRP062048
Yap and Taz regulate retinal pigment epithelial cell fate
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The optic vesicle comprises a pool of bi-potential progenitor cells from which the retinal pigment epithelium (RPE) and neural retina fates segregate during ocular morphogenesis. Several transcription factors and signaling pathways have been shown to be important for RPE maintenance and differentiation, but an understanding of the initial fate specification and determination of this ocular cell type is lacking. We show that Yap/Taz-Tead activity is necessary and sufficient for optic vesicle progenitors to adopt RPE identity in zebrafish. A Teadresponsive transgene is expressed within the domain of the optic cup from which RPE arises, and Yap immunoreactivity localizes to the nuclei of prospective RPE cells. yap (yap1) mutants lack a subset of RPE cells and/or exhibit coloboma. Loss of RPE in yap mutants is exacerbated in combination with taz (wwtr1) mutant alleles such that, when Yap and Taz are both absent, optic vesicle progenitor cells completely lose their ability to form RPE. The mechanism of Yap dependent RPE cell type determination is reliant on both nuclear localization of Yap and interaction with a Tead co-factor. In contrast to loss of Yap and Taz, overexpression of either protein within optic vesicle progenitors leads to ectopic pigmentation in a dosagedependent manner. Overall, this study identifies Yap and Taz as key early regulators of RPE genesis and provides a mechanistic framework for understanding the congenital ocular defects of Sveinsson’s chorioretinal atrophy and congenital retinal coloboma. Overall design: 60 pooled eyes from 36 hpf wild type or vsx2:Gal4/dsRed:14xUAS:YapS87A embryos were pooled for one sample. Three wild type and three vsx2:Gal4/dsRed:14xUAS:YapS87A pools were analyzed for RNA.

Publication Title

Yap and Taz regulate retinal pigment epithelial cell fate.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE78000
Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Invasive aspergillosis (IA) is a devastating opportunistic infection and its treatment constitutes a considerable burden for the health care system. Immunocompromised patients are at an increased risk for IA, which is mainly caused by the species Aspergillus fumigatus. An early and reliable diagnosis is required to initiate the appropriate antifungal therapy. However, diagnostic sensitivity and accuracy still needs to be improved, which can be achieved at least partly by the definition of new biomarkers. Besides the direct detection of the pathogen by the current diagnostic methods, the analysis of the host response is a promising strategy towards this aim. Following this approach, we sought to identify new biomarkers for IA. For this purpose, we analyzed gene expression profiles of haematological patients and compared profiles of patients suffering from IA with non-IA patients. Based on microarray data, we applied a comprehensive feature selection using a random forest classifier. We identified the transcript coding for the S100 calcium-binding protein B (S100B) as a potential new biomarker for the diagnosis of IA. Considering the expression of this gene, we were able to classify samples from patients with IA with 82.3% sensitivity and 74.6% specificity. Moreover, we validated the expression of S100B in a real-time RT-PCR assay and we also found a down-regulation of S100B in A.fumigatus stimulated DCs. An influence on the IL1B and CXCL1 downstream levels was demonstrated by this S100B knockdown. In conclusion, this study covers an effective feature selection revealing a key regulator of the human immune response during IA. S100B may represent an additional diagnostic marker that in combination with the established techniques may improve the accuracy of IA diagnosis.

Publication Title

Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP095037
Expression charcaterization of an internal protocol developed to differentiate RPE cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon

Description

We performed RNA-seq and miRNA-seq in fetal RPE cells differentated during 5 weeks in a transwell set up Overall design: Samples from days 7, 14, 21, 28 and 35 were characterized. Cells were grown in a proliferation medium during the first week (EpiCM) and then in a maturation medium (MAM medium) that enahnces differentiation towards the desired phenotype.

Publication Title

HtrA1 Mediated Intracellular Effects on Tubulin Using a Polarized RPE Disease Model.

Sample Metadata Fields

No sample metadata fields

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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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