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accession-icon SRP151120
RNA-seq profiling of patient-derived xenograft models in Urothelial Cancer
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To probe the tissue source (cancer cell VS stromal cell) of gene expression in the mixed tumor samples, we took advantage of a set of Urothelial Cancer patient-derived xenograft (PDX) models given that the transcriptome in these models is a mixture of human RNA (derived from cancer cells) and mouse RNA (derived from stromal cells). Overall design: The cohort includes 5 different patient-derived PDX models, 3 replicates for each model, and thus a total of 15 samples

Publication Title

EMT- and stroma-related gene expression and resistance to PD-1 blockade in urothelial cancer.

Sample Metadata Fields

Subject

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accession-icon GSE134381
Metabolomics, Transcriptomic and Genetic - Integrative Analysis Reveals Important Roles of Adenosine Diphosphate in Haemostasis and Platelet Activation in Non-Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Transcriptomic and genetic profiles of tumours and matched normal tissues could help to identify important factors and potential therapeutic targets that contribute to tumorigenesis. We integrated omics profiles in tumours and matched adjacent normal tissues of patients with LUSC (N = 20) and LUAD (N = 17)

Publication Title

Metabolomic, transcriptomic and genetic integrative analysis reveals important roles of adenosine diphosphate in haemostasis and platelet activation in non-small-cell lung cancer.

Sample Metadata Fields

Sex, Age

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accession-icon SRP061499
An IL-23R/IL-22 circuit regulates epithelial serum amyloid A to promote local effector Th17 responses II [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: The goals of this study are to compare in vitro polarized T helper 17 cell transcriptome profiling (RNA-seq) in the presence or absence of recombinant murine SAA1 Methods: Th17 mRNA profiles of 96hrs in vitro cultured T helper 17 cells treated with vehicle or recombinant murine SAA1 were generated by deep sequencing, using Illumina RapidRun. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) and TopHat followed by CuffDiff. qRT–PCR validation was performed using SYBR Green assays. Results: 177 genes were changed more than 2 folds in the presence of recombinant murine SAA1. Conclusions: Our study suggest that SAA1 could augment subset of Th17 transcription program in vitro. Overall design: mRNA profiles of 48hr in vitro cultured Th17 from wild type (WT) mice were generated by deep sequencing using Illumina RapidRun.

Publication Title

An IL-23R/IL-22 Circuit Regulates Epithelial Serum Amyloid A to Promote Local Effector Th17 Responses.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP060453
An IL-23R/IL-22 circuit regulates epithelial serum amyloid A to promote local effector Th17 responses [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goals of this study are to compare mRNAs expressed by Th17 cells and ILC3s in small intestine of lamina propria of mice. Methods: Small intestine were digested with collagenase, dispase, and DNase. Percoll enriched lamina propria Th17 and ILCs sorted by BD ARIA II. Total RNA were harvested and sequencing were performe. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) and TopHat followed by CuffDiff. qRT–PCR validation was performed using SYBR Green assays. Results: Small intestine Th17 cells and ILCs exhibit differential gene expression profiles. Overall design: compare mRNAs expressed by Th17 cells and ILC3s in small intestine of lamina propria of mice.

Publication Title

An IL-23R/IL-22 Circuit Regulates Epithelial Serum Amyloid A to Promote Local Effector Th17 Responses.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP108341
TrapSeq: An RNA Sequencing-based pipeline for the identification of genetrap insertions in mammalian cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Current pipelines used to map genetrap insertion sites are based on inverse- or splinkerette-PCR methods, which despite their efficacy are prone to artifacts and do not provide information on the impact of the genetrap on the expression of the targeted gene. We developed a new method, which we named TrapSeq, for the mapping of genetrap insertions based on paired-end RNA sequencing. By recognizing chimeric mRNAs containing genetrap sequences spliced to an endogenous exon, our method identifies insertions that lead to productive trapping. Overall design: We conducted two independent screenings for sensitivity against 6-thioguanine (6TG) and an ATR inhibitor (ATRi). We applied our RNAseq-based pipeline (TrapSeq) to identify mutations that provide resistance to these reagents. Importantly, and besides its use for screenings, when applied to individual clones our method provides a fast and cost-effective way that not only identifies the insertion site of the genetrap but also reveals the impact of the insertion on the expression of the trapped gene. Please note that HAP1, haploid for all chromosomes, derives from near-haploid KBM7 parent line which was in turn obtained from a chronic myeloid leukemia patient in blast crisis phase (Carette et al. Nature 477:340-343, 2011).

Publication Title

Trap<sup>Seq</sup>: An RNA Sequencing-Based Pipeline for the Identification of Gene-Trap Insertions in Mammalian Cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE36135
Expression data from prostate cancer Docetaxel-resistant cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Docetaxel is the standard first line therapy for hormone-refractory prostate cancer patients. Here we generated models of Docetaxel resistance in prostate cancer cells to study the molecular pathways that drive the acquisition of resistance to this therapy. We used microarrays to detail the global program of gene expression underlying the acquisition of Docetaxel resistance in prostate cancer cells.

Publication Title

Suppression of acquired docetaxel resistance in prostate cancer through depletion of notch- and hedgehog-dependent tumor-initiating cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP081553
Characterization of genetic loss-of-function of Fus in zebrafish
  • organism-icon Danio rerio
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The RNA-binding protein FUS is implicated in transcription, alternative splicing of neuronal genes and DNA repair. Mutations in FUS have been linked to human neurodegenerative diseases such as ALS (amyotrophic lateral sclerosis). We genetically disrupted fus in zebrafish (Danio rerio) using the CRISPR-Cas9 system. The fus knockout animals are fertile and did not show any distinctive phenotype. Mutation of fus induces mild changes in gene expression on the transcriptome and proteome level in the adult brain. We observed a significant influence of genetic background on gene expression and 3’UTR usage, which could mask the effects of loss of Fus. Unlike published fus morphants, maternal zygotic fus mutants do not show motoneuronal degeneration and exhibit normal locomotor activity. Overall design: We performed paired-end sequencing (100bp reads) of the polyA+ transcriptome from brains of five individuals with Fus-/- genotype and four with Fus wild type genotype. Note on RNA-Seq replicates: after performing first RNA sequencing on four replicates of Fus-/- and WT (labeled with the prefix "Sample_imb_ketting_2014_13_") we received a notice from Illumina stating a problem with the library preparation kit lot that was used to prepare the libraries. Due to that, we performed RNA sequencing a second time, using the same input RNA, except for the Fus knockout replicate #3, because there was not enough input RNA left. Instead, a different Fus knockout replicate (#1) was sequenced. However, we compared the mapped reads from sequencing run 1 and sequencing run 2 using plotCorrelaction from DeepTools, and the samples are highly correlated (at least 0.97 and 0.95, Spearman and Pearson correlation respectively). Therefore, we considered first ("Sample_imb_ketting_2014_13_") and second sequencing runs as technical replicates.

Publication Title

Characterization of genetic loss-of-function of Fus in zebrafish.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE71312
Expression data from WT Col-0 and the pdx1.3 ko mutant of Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We performed a microarray experiment to assess the global changes in transcription occurring in leaves and roots of the vitamin B6 deficient pdx1.3 knockout mutant in comparison to WT. Vitamin B6 (pyridoxal 5-phosphate) is an essential cofactor of many metabolic enzymes. Plants biosynthesize the vitamin de novo employing two enzymes, pyridoxine synthase1 (PDX1) and PDX2. In Arabidopsis (Arabidopsis thaliana), there are two catalytically active paralogs of PDX1 (PDX1.1 and PDX1.3) producing the vitamin at comparable rates. Since single mutants are viable but the pdx1.1 pdx1.3 double mutant is lethal, the corresponding enzymes seem redundant.

Publication Title

Consequences of a deficit in vitamin B6 biosynthesis de novo for hormone homeostasis and root development in Arabidopsis.

Sample Metadata Fields

Specimen part

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accession-icon GSE35471
Expression data from L3 Drosophila antennal-eyediscs
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Growth of the drosophila eye imaginal discs is controlled by the activation of Notch in the dorsal-ventral boundary. Overexpression in the eye disc of the Notch ligand Delta together with lola and pipsqueak from the GS(2)88A8 line induces tumoral growth. We used microarray to analyze the expression profile of tumoral discs.

Publication Title

Imaginal discs secrete insulin-like peptide 8 to mediate plasticity of growth and maturation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP197580
Group 3 innate lymphoid cells mediate early protective immunity against Mycobacterium tuberculosis
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the phenotype of human lung ILC2 and ILC3 populations from individuals with tuberculosis (TB) and non-TB cancer controls. We find that ILC2s demonstrate moderate transcriptional differences in TB infection, whereas ILC3s demonstrate large differences. Overall design: ILC2s and ILC3s were purified by FACS from lung biopsies from TB infected lung tissue and peripheral healthy lung tissue from individuals with cancer. Low-input RNA-seq was performed on 1-3 replicates (dependent on cell number) on 5 individuals with TB infection and 2 controls.

Publication Title

Group 3 innate lymphoid cells mediate early protective immunity against tuberculosis.

Sample Metadata Fields

Specimen part, Disease, 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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