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accession-icon SRP170939
Antagonizing increased miR-135a levels at the chronic stage of experimental TLE reduces spontaneous recurrent seizures
  • organism-icon Mus musculus
  • sample-icon 168 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Increased miR-135a levels are observed in human patients with temporal lobe Epilepsy (TLE) and in experimental animal models. Upon targeting the increased miR-135a levels in vivo using antagomirs in kainic acid induced status epilepticus mouse model of TLE, we observed a strong reduction of spontaneous recurrent seizures. To understand this further and to find target mRNAs that potentially mediate the seizure suppressive function of miR-135a, we performed immunoprecipitation using biotin tagged miRNA mimics, followed by RNAsequencing (RNAseq). We found several novel neuronal targets of miRNA-135a and identified Mef2a as a key target in this study. Here we report the total RNAseq data. Overall design: N2A cells were transfected with biotin tagged miRNA mimics for miR-135a and negative control and immunoprecipitations were performed. N = 3 replicates of IP and input samples for each condition were generated and sequenced on illumina platform for total RNA for identification of novel targets of miR-135a.

Publication Title

Antagonizing Increased <i>miR-135a</i> Levels at the Chronic Stage of Experimental TLE Reduces Spontaneous Recurrent Seizures.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP170629
RNA Sequencing Analysis of Intracranial Aneurysm Walls Reveals Involvement of Lysosomes and Immunoglobulins in Rupture
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background and Purpose—Analyzing genes involved in development and rupture of intracranial aneurysms can enhance knowledge about the pathogenesis of aneurysms, and identify new treatment strategies. We compared gene expression between ruptured and unruptured aneurysms and control intracranial arteries. Methods—We determined expression levels with RNA sequencing. Applying a multivariate negative binomial model, we identified genes that were differentially expressed between 44 aneurysms and 16 control arteries, and between 22 ruptured and 21 unruptured aneurysms. The differential expression of 8 relevant and highly significant genes was validated using digital polymerase chain reaction. Pathway analysis was used to identify enriched pathways. We also analyzed genes with an extreme pattern of differential expression: only expressed in 1 condition without any expression in the other. Results—We found 229 differentially expressed genes in aneurysms versus controls and 1489 in ruptured versus unruptured aneurysms. The differential expression of all 8 genes selected for digital polymerase chain reaction validation was confirmed. Extracellular matrix pathways were enriched in aneurysms versus controls, whereas pathways involved in immune response and the lysosome pathway were enriched in ruptured versus unruptured aneurysms. Immunoglobulin genes were expressed in aneurysms, but showed no expression in controls. Conclusions—For rupture of intracranial aneurysms, we identified the lysosome pathway as a new pathway and found further evidence for the role of the immune response. Our results also point toward a role for immunoglobulins in the pathogenesis of aneurysms. Immune-modifying drugs are, therefore, interesting candidate treatment strategies in the prevention of aneurysm development and rupture. Overall design: RNA sequencing of 44 intracranial aneurysm samples (including 21 unruptured, 22 ruptured and 1 undetermined) and 16 control samples of the intracranial cortical artery

Publication Title

RNA Sequencing Analysis of Intracranial Aneurysm Walls Reveals Involvement of Lysosomes and Immunoglobulins in Rupture.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE16969
Gene expression analysis of TSC-tubers reveals increased expression of adhesion and inflammatory factors
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cortical tubers in patients with tuberous sclerosis complex (TSC) are associated with cognitive disability and intractable epilepsy. While these developmental malformations are believed to result from the effects of TSC1 or TSC2 Gene mutations, the molecular mechanisms leading to tuber formation during brain development as well as the onset of seizures remain largely unknown. We used the Affymetrix Gene Chip platform as a genome-wide strategy to define the Gene expression profile of cortical tubers resected during epilepsy surgery compared to histologically normal perituberal tissue (adjacent to the cortical tuber) from the same patients or autopsy control tissue.

Publication Title

Gene expression analysis of tuberous sclerosis complex cortical tubers reveals increased expression of adhesion and inflammatory factors.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE146110
The role of lncRNA Lassie in endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The vascular endothelium forms a physical barrier between blood and the surrounding tissue. Its constant exposure to haemodynamic shear stress controls endothelial barrier function which is of major importance for vascular homeostasis. The role of long non-coding RNAs (lncRNAs) in this process remains elusive. Here we identify the shear stress-induced lncRNA LASSIE (linc00520) as a stabilizer of adherens junctions (AJs) in endothelial cells (ECs), that is indispensable for normal endothelial barrier function and shear stress sensing. Silencing of LASSIE in ECs resulted in impaired cell survival, loss of cell-cell contacts and failure to align in the direction of flow. RNA affinity purification followed by mass spectrometry identified several junction proteins associated with LASSIE, including the endothelial adhesion protein PECAM-1 and intermediate filament (IF) protein nestin. Proteomic analysis of VE-cadherin-associated proteins showed that LASSIE silencing reduces VE-cadherin interaction with nestin and microtubule (MT)-associated cytoskeletal proteins. We confirmed that LASSIE silencing results in a decreased connection between VE-Cadherin and the cytoskeleton, resulting in loss of barrier function and shear stress sensing. Together, this study identifies the shear stress-induced lncRNA LASSIE as a critical link between AJs and the IF cytoskeleton, which is indispensable for normal EC junction stabilization and shear stress sensing.

Publication Title

Long non-coding RNA LASSIE regulates shear stress sensing and endothelial barrier function.

Sample Metadata Fields

Specimen part

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accession-icon SRP019994
Stratification of Leiomyosarcoma molecular subtypes by 3'' end RNA-sequencing: Toward precision medicine
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. We demonstrate the existence of 3 molecular subtypes in a cohort of 99 cases and an independent cohort of 82 LMS. Two new FFPE tissue-compatible diagnostic immunohistochemical markers are identified: LMOD1 for subtype I LMS and ARL4C for subtype II LMS. Subtype I and subtype II LMS are associated with good and poor prognosis, respectively. The LMS subtypes show significant differences in expression levels for genes for which novel targeted therapies are being developed. Overall design: Gene expression profiling was performed by 3'' End RNA Sequencing (3SEQ), a next generation sequencing approach that does not rely on frozen tissue but can be performed on archival FFPE tissue. Samples included 99 LMS, 6 Undifferentiated Pleomorphic Sarcomas (UPS), 3 leiomyomas, 4 normal myometrium samples, and 1 case of Lymphangioleiomyomatosis (LAM). This study only includes the 99 LMS Samples. After gene expression levels were quantified by 3SEQ analysis pipeline, Consensus Clustering with bootstrap method was used to determine that the dataset contained three robust subtypes, and Silhouette analysis was performed to validate the subtype assignments. Two class SAM analysis (Significance Analysis of Microarrays) was performed to identify genes expressed differentially between each subtype of LMS with FDR of 0.05. Immunohistochemical staining was used to validate the potential diagnostic and prognostic markers from 3SEQ data on a tissue microarray.

Publication Title

Molecular subtyping of leiomyosarcoma with 3' end RNA sequencing.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE57434
Transcriptional response of Drosophila S2 cells in response the Drosophila C Virus infection (DCV)
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We infected Drosophila S2 cells (invitrogen) with Drosophila C virus (DCV) (Multiplicity of Infection = 10), and harvested samples for further analysis at 8 and 24 hours post-infection.

Publication Title

The heat shock response restricts virus infection in Drosophila.

Sample Metadata Fields

Cell line, Time

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accession-icon SRP017575
Two New Stromal Signatures Stratify Breast Cancers with Different Prognosis
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Purpose: Multiple studies from last decades have shown that the microenvironment of carcinomas plays an important role in the initiation, progression and metastasis of cancer. Our group has previously identified novel cancer stroma gene expression signatures associated with outcome differences in breast cancer by gene expression profiling of two tumors of fibroblasts as surrogates for physiologic stromal expression patterns. The aim of this study is to find additional new types of tumor stroma gene expression patterns. Results: 53 tumors were sequenced by 3SEQ with an average of 29 million reads per sample. Both the elastofibroma (EF) and fibroma of tendon sheath (FOTS) gene signatures demonstrated robust outcome results for survival in the four breast cancer datasets. The EF signature positive breast cancers (20-33% of the cohort) demonstrated significantly better outcome for survival. In contrast, the FOTS signature positive breast cancers (11-35% of the cohort) had a worse outcome. The combined stromal signatures of EF, FOTS, and our previously identified DTF, and CSF1 signatures characterize, in part, the stromal expression profile for the tumor microenvironment for between 74%-90% of all breast cancers. Conclusions: We defined and validated two new stromal signatures in breast cancer (EF and FOTS), which are significantly associated with prognosis. Overall design: Gene expression profiling by 3SEQ was performed on 8 additional types of fibrous tumors, to identify different fibrous tumor specific gene expression signatures. We then determined the significance of the fibrous tumor gene signatures in four publically available breast cancer datasets (GSE1456, GSE4922, GSE3494, NKI Dataset).

Publication Title

Next generation sequencing-based expression profiling identifies signatures from benign stromal proliferations that define stromal components of breast cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP015977
Mouse Model of Clear Cell Sarcoma
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Profile gene expression from tumors that develop in mice bearing conditional activation of EWS-ATF1, compared to control mouse tissues from the chest wall as well as tumor samples from mouse models of synovial sarcoma and osteosarcoma achieved by conditional disruption of Rb1 and p53 Overall design: 13 clear cell sarcomas (5 started with Rosa26CreER, 4 with TATCre, 2 with Prx1CreERT2, and 2 with Bmi1IRESCreERT2), 7 osteosarcomas, 6 synovial sarcomas, 6 control samples

Publication Title

Modeling clear cell sarcomagenesis in the mouse: cell of origin differentiation state impacts tumor characteristics.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP040306
Transcriptome of wild-type and G9a mutant upon viral challenge
  • organism-icon Drosophila melanogaster
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The aim of the study was to generate transcriptome of wild-type and G9a mutant adult flies (females) 24h post-infection with Drosophila C Virus (DCV). Overall design: We generated 8 different data sets. For wild-type controls and G9a mutants, we performed both mock and DCV infection, and collected both whole flies and fat bodies. All flies were 3-5 days old females.

Publication Title

The epigenetic regulator G9a mediates tolerance to RNA virus infection in Drosophila.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE40672
Dietary heme alters microbiota and mucosa of mouse colon without functional changes in host-microbe cross-talk.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Colon cancer is a major cause of cancer deaths in Western countries and is associated with diets high in red meat. Heme, the iron-porphyrin pigment of red meat, induces cytotoxicity of gut contents which injures surface cells leading to compensatory hyperproliferation of crypt cells. This hyperproliferation results in epithelial hyperplasia which increases the risk of colon cancer. In humans, a high red-meat diet increases Bacteroides spp in feces. Therefore, we simultaneously investigated the effects of dietary heme on colonic microbiota and on the host mucosa of mice. Whole genome microarrays showed that heme injured the colonic surface epithelium and induced hyperproliferation by changing the surface to crypt signaling. Using 16S rRNA phylogenetic microarrays, we investigated whether bacteria play a role in this changed signaling. Heme increased Bacteroidetes and decreased Firmicutes in colonic contents. This shift was most likely caused by a selective susceptibility of Gram-positive bacteria to heme cytotoxic fecal water, which is not observed for Gram-negative bacteria, allowing expansion of the Gram-negative community. The increased amount of Gram-negative bacteria most probably increased LPS exposure to colonocytes, however, there is no appreciable immune response detected in the heme-fed mice. There was no functional change in the sensing of the bacteria by the mucosa, as changes in inflammation pathways and Toll- like receptor signaling were not detected. This unaltered host-microbe cross-talk indicates that the changes in microbiota did not play a causal role in the observed hyperproliferation and hyperplasia.

Publication Title

Dietary heme alters microbiota and mucosa of mouse colon without functional changes in host-microbe cross-talk.

Sample Metadata Fields

Sex, Age, Specimen part

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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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