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accession-icon GSE79074
Jurkat T cell gene expression with IKKe gene knockdown and PMA and ionomycin stimulation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarray to monitor the differentially expresed genes during Jurkat T cell activaiton.

Publication Title

IκB Kinase ε Is an NFATc1 Kinase that Inhibits T Cell Immune Response.

Sample Metadata Fields

Cell line

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accession-icon SRP155198
Genome-wide transcript structure resolution in murine gammaherpesvirus 68: Illumina RNA-Seq
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2500

Description

Strand-specific Illumina RNA-Seq was used in conjunction with Pacific Biosciences Iso-Seq and deepCAGE to globally resolve transcript structures in lytic murine gammaherpesvirus 68. Overall design: Strand-specific Illumina RNA-Seq of MHV68-infected fibroblasts

Publication Title

Genome-wide Transcript Structure Resolution Reveals Abundant Alternate Isoform Usage from Murine Gammaherpesvirus 68.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP033117
Global Bidirectional Transcription of the Epstein-Barr Virus Genome During Reactivation
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Using strand specific RNA-seq to assess the EBV transcriptome during reactivation of Akata cells, we found extensive bidirectional transcription extending across nearly the entire genome. Overall design: Illumina strand-specific RNA-seq of BCR-activated Akata cells at 9 time points

Publication Title

The Epstein Barr virus circRNAome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE48839
Genome-wide transcript profiling for native porcine valvular interstitial cells and those cultured on TCPS and treated with TGF-1
  • organism-icon Sus scrofa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Fibrotic diseases have significant health impact and have been associated with differentiation of the resident fibroblasts into myofibroblasts. In particular, stiffened extracellular matrix and TGF-1 in fibrotic lesions have been shown to promote pathogenic myofibroblast activation and progression of fibrosis in various tissues. To better understand the roles of mechanical and chemical cues on myofibroblast differentiation and how they may crosstalk, we cultured primary valvular interstitial cells (VICs) isolated from porcine aortic valves and studied how traditional TCPS culture, which presents a non-physiologically stiff environment, and TGF-1 affect native VIC phenotypes.

Publication Title

Hydrogels preserve native phenotypes of valvular fibroblasts through an elasticity-regulated PI3K/AKT pathway.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE65588
Expression data from B220+ Hspa9+/+ and Hspa9+/- CFU-PreB colonies isolated on Day 7 of culture
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

CFU-PreB colonies are reduced in number and size in Hspa9+/- mice compared to wildtype littermates. We compared the expression profiles of these colonies to gain insight into the mechanism driving this difference.

Publication Title

Reduced levels of Hspa9 attenuate Stat5 activation in mouse B cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP189099
Effects on gene expression of ibrutinib treatment in human stem cells-derived atrial- and ventricular-like cardiomyocytes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To gain further insight into the mechanisms underlying the different response of atrial- and ventricular-like cardiomyocytes to ibrutinib, we performed RNA-seq in ibrutinib- or vehicle-treated atrial and ventricular cardiomyocytes and investigate the differential expression genes as well as enriched molecular pathways. Overall design: hESC-derived atrial- and ventricular-like cardiomyocytes were treated with 1uM ibrutinib in experiment group and vehicle (DMSO) in control group in 12-well plates for 24 hours with 3 replicates in each condition.

Publication Title

Ibrutinib Displays Atrial-Specific Toxicity in Human Stem Cell-Derived Cardiomyocytes.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP002326
Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumors and matched controls
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

We prepared small RNA libraries from 29 tumor/normal pairs of human cervical tissue samples. Analysis of the resulting sequences (42 million in total) defined 64 new human microRNA (miRNA) genes. Both arms of the hairpin precursor were observed in twenty-three of the newly identified miRNA candidates. We tested several computational approaches for analysis of class differences between high throughput sequencing datasets, and describe a novel application of log linear model that has provided the most datasets, and describe a novel application of log linear model that has provided the most effective analysis for this data. This method resulted in the identification of 67 miRNAs that were differentially-expressed between the tumor and normal samples at a false discovery rate less than 0.001. Overall design: A total of 29 tumor/normal pairs of human cervical tissue samples were analyzed. Two samples (G699N_2 and G761T_2) were performed in duplicates. No Fastq files for GSM532871 to GSM532889, GSM532929, and GSM532930. Sequence files are provided as text files for these 22 Sample records in GSE20592_RAW.tar. 38 samples with quality scores are available from SRA as SRP002/SRP002326 (see Supplementary file below).

Publication Title

Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP043470
Transcriptomic profiling of sequential tumours from breast cancer patients provides a global view of metastatic expression changes following endocrine therapy
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We profiled primary breast cancer, nodal and liver metastatic tumours from three patients. At the time of initial diagnosis, all three patients presented with luminal breast cancer with adjacent nodal metastasis. They all received 5 years of enodrine therapy and all subsequently developed liver metastasis. Overall design: Examination of mRNA differences between primary, nodal and metastatic tumour samples.

Publication Title

Transcriptomic Profiling of Sequential Tumors from Breast Cancer Patients Provides a Global View of Metastatic Expression Changes Following Endocrine Therapy.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP199794
Identification of novel regulators of Th2 cells in HDM model (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 1120 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Naïve CD4 T cells differentiate into functionally diverse subsets of T helper (Th) cells. Gene expression profiling has the capacity to pinpoint factors that regulate subset differentiation and function, however obtaining transcriptional profiles of pure populations has been challenging. We performed single cell RNA-Sequencing (scRNA-Seq) of T helper cells from lymph node, lung and airways in a mouse model of asthma. scRNA-Seq resolved transcriptional profiles of naïve CD4 T, Th1, Th2, Treg cells and various activated states including a population responding to type I interferons. A trajectory for Th2 cell differentiation was delineated over time, with Th2 cells acquiring follicular T helper cell characteristics in the lung-draining lymph node before undergoing further modifications in the lung. A feature of airway Th2 cells was their enrichment for genes associated with lipid metabolism and experiments with blockers of key metabolic pathways supported roles for glucose and lipid metabolism in Th2 cell differentiation. Overall design: Mice were sentized and challanged with HDM extract intranasally. scRNA-Seq was performed in 384-well format. The relevant organs (either BAL, lung or mLN) were isolated, rapidly processed, stained for a panel of surface markers and single cell sorted within approximately 90 minutes of organ harvest. In total 764 memory T helper cells (CD3+CD4+CD44+) were sorted directly into lysis buffer using a BD Influx from two independent mice 15 days after sensitization and challenge with HDM as described above. In addition, 50 naïve T Helper cells (CD3+CD4+CD62LhiCD44lo), 50 Treg cells (CD3+CD4+CD25hi) from mLN of a mouse not exposed to HDM; 200 ST2+ mLN and 82 ST2+ lung T helper cells (CD3+CD4+CD44+ST2+CD25-) were sort purified at day 10 of the HDM model. SMART-Seq2 libraries were prepared using the method described in Picelli et al. (Nature Methods 2013) by the Eukaryotic Single Cell Genomics national facility at SciLife Laboratory, Stockholm.

Publication Title

Single-Cell RNA Sequencing of the T Helper Cell Response to House Dust Mites Defines a Distinct Gene Expression Signature in Airway Th2 Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP023262
A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The earliest recognizable stages of breast neoplasia are lesions that represent a heterogeneous collection of epithelial proliferations currently classified based on morphology. Their role in the development of breast cancer is not well understood but insight into the critical events at this early stage will improve efforts in breast cancer detection and prevention. These microscopic lesions are technically difficult to study so very little is known about their molecular alterations. To characterize the transcriptional changes of early breast neoplasia, we sequenced 3''- end enriched RNAseq libraries from formalin-fixed paraffin-embedded tissue of early neoplasia samples and matched normal breast and carcinoma samples from 25 patients. We find that gene expression patterns within early neoplasias are distinct from both normal and breast cancer patterns and identify a pattern of pro-oncogenic changes, including elevated transcription of ERBB2, FOXA1, and GATA3 at this early stage. We validate these findings on a second independent gene expression profile data set generated by whole transcriptome sequencing. Measurements of protein expression by immunohistochemistry on an independent set of early neoplasias confirms that ER pathway regulators FOXA1 and GATA3, as well as ER itself, are consistently upregulated at this early stage. The early neoplasia samples also demonstrate coordinated changes in long non-coding RNA expression and microenvironment stromal gene expression patterns. This study is the first examination of global gene expression in early breast neoplasia, and the genes identified here represent candidate participants in the earliest molecular events in the development of breast cancer. Overall design: 3SEQ was performed on 72 FFPE human breast samples from 25 patients: 24 normal, 25 early neoplasia, 9 carcinoma in situ, and 14 invasive cancer

Publication Title

A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions.

Sample Metadata Fields

Specimen part, Disease, Disease stage, 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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Developed by the Childhood Cancer Data Lab

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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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