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accession-icon SRP149483
RNAseq of CD31-/CD45- pneumocytes after 4 weeks of KRasG12V activation by tamoxifen
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report the RNAseq data obtained from 50.000-100.000 CD31-/CD45- pneumocytes isolated by FACS from mice harboring a normal dose or one extra copy of the Sirt1 gene, and a tamoxifen-inducible oncogenic KI alelle of KRasG12V after 4 weeks of tamoxifen treatment. Pneumocytes with the activated form of the inducible KRasG12V oncogene sere selected making use of the reporter gene LacZ (located next to the oncogene in the same polycistronic mRNA), by loading CD31-/CD45- pneumocytes with the LacZ-activated fuorogenic molecule FDG prior to FACS sorting. Overall design: Four replicates of each genetic group (Sirt1-WT and Sirt1-Tg) pneumocytes were used for this study. Sirt1-WT were used as reference controls.

Publication Title

Sirt1 protects from K-Ras-driven lung carcinogenesis.

Sample Metadata Fields

Subject

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accession-icon SRP149487
RNAseq of CD31-/CD45- pneumocytes after 4 weeks of KRasG12V activation by tamoxifen and 2 weeks of chase
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the RNAseq data obtained from 50.000-100.000 CD31-/CD45- pneumocytes isolated by FACS from mice harboring a normal dose or one extra copy of the Sirt1 gene, and a tamoxifen-inducible oncogenic KI alelle of KRasG12V after 4 weeks of tamoxifen treatment plus 2 weeks without tamoxifen. Pneumocytes with the activated form of the inducible KRasG12V oncogene sere selected making use of the fluorescent reporter gene Katushka (located at an independent locus), by detecting Katushka fluorescence. Overall design: Four replicates of each genetic group (Sirt1-WT and Sirt1-Tg) pneumocytes were used for this study. Sirt1-WT were used as reference controls.

Publication Title

Sirt1 protects from K-Ras-driven lung carcinogenesis.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE6288
Transcriptional comparison between whole kidneys from E14.5 Wnt4 mutants and wildtype mice (MG_U74Av2 platform). (GUDMAP Series ID: 7)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Our laboratory's interest is in understanding the molecular principles that underlie the regional organization of the mammalian metanephric kidney. Our goal is to generate a detailed spatial map of the cellular expression of selected regulatory genes during mammalian kidney development. The goal of this study is to identify a population of genes that are enriched in the renal vesicle (RV) and its derivatives using Wnt4 mutants.

Publication Title

Transcriptional profiling of Wnt4 mutant mouse kidneys identifies genes expressed during nephron formation.

Sample Metadata Fields

Sex

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accession-icon SRP157936
Transcriptomic analysis of T84 colon carcinoma cell line treated with trametinib, JQ1 or their combination
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

T84 cells were treated with DMSO, 30nM trametinib (MEKi), 1µM JQ1 (BRD4i) or the combination of trametinib and JQ1 (combo) for 24h. Overall design: 3 replicates per condition were analyzed by RNA-seq.

Publication Title

Suppression of interferon gene expression overcomes resistance to MEK inhibition in KRAS-mutant colorectal cancer.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP157753
Transcriptomic analysis of trametinib-resistant HCT116 colorectal carcinoma cells compared to the parental control cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

HCT116 cells were treated with with increasing concentrations of trametinib over 2 months. Drug-resistant clones emerged and were cultured in the presence of 30 nmol/L trametinib. These cells exhibited a greater than 10-fold increase in the GI50 for trametinib compared to the parental cell line. RNA-seq of the resistant clone HCT116_R4 versus the parental cells identified differentially expressed genes potentially involved in resistance. Overall design: For the parental and resistant clone, 3 replicates each were analysed by RNA-seq.

Publication Title

Suppression of interferon gene expression overcomes resistance to MEK inhibition in KRAS-mutant colorectal cancer.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE54483
Colorectal cancer classification based on gene expression is not associated with FOLFIRI response
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sadanandam et al. (2013) recently published a study based on the use of microarray data to classify colorectal cancer (CRC) samples. The classification claimed to have strong clinical implications, as reflected in the paper title: A colorectal cancer classification system that associates cellular phenotype and responses to therapy. They defined five subtypes: (i) inflammatory; (ii) goblet-like; (iii) enterocyte; (iv) transit-amplifying; and (v) stem-like. Based on drug sensitivity data from 21 patients, they also reported that the so-called stem-like subtype show differential sensitivity to FOLFIRI. This is the key result in their publication, since it implies a direct relation between the subtype and the choice of CRC therapy (i.e. FOLFIRI response). However, our analyses using the same drug sensitivity data and results from additional patients showed that the CRC classification reported by Sadanandam et al. is not predictive of FOLFIRI response.

Publication Title

Colorectal cancer classification based on gene expression is not associated with FOLFIRI response.

Sample Metadata Fields

Specimen part

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accession-icon SRP009426
Comprehensive identification of long non-coding RNAs expressed during zebrafish embryogenesis [RNA_seq]
  • organism-icon Danio rerio
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII, IlluminaHiSeq2000

Description

Long non-coding RNAs (lncRNAs) comprise a diverse class of transcripts that structurally resemble mRNAs but do not encode proteins. Recent genome-wide studies in human and mouse have annotated lncRNAs expressed in cell lines and adult tissues, but a systematic analysis of lncRNAs expressed during vertebrate embryogenesis has been elusive. To identify lncRNAs with potential functions in vertebrate embryogenesis, we performed a time series of RNA-Seq experiments at eight stages during early zebrafish development. We reconstructed 56,535 high-confidence transcripts in 28,912 loci, recovering the vast majority of expressed RefSeq transcripts, while identifying thousands of novel isoforms and expressed loci. We defined a stringent set of 1,133 non-coding multi-exonic transcripts expressed during embryogenesis. These include long intergenic ncRNAs (lincRNAs), intronic overlapping lncRNAs, exonic antisense overlapping lncRNAs, and precursors for small RNAs (sRNAs). Zebrafish lncRNAs share many of the characteristics of their mammalian counterparts: relatively short length, low exon number, low expression, and conservation levels comparable to introns. Subsets of lncRNAs carry chromatin signatures characteristic of genes with developmental functions. The temporal expression profile of lncRNAs revealed two novel properties: lncRNAs are expressed in narrower time windows than protein-coding genes and are specifically enriched in early-stage embryos. In addition, several lncRNAs show tissue-specific expression and distinct subcellular localization patterns. Integrative computational analyses associated individual lncRNAs with specific pathways and functions, ranging from cell cycle regulation to morphogenesis. Our study provides the first comprehensive identification of lncRNAs in a vertebrate embryo and forms the foundation for future genetic, genomic and evolutionary studies. Overall design: RNA-Seq for 8 zebrafish developmental stages, 2 lanes for each stage (3 for shield).

Publication Title

Ribosome profiling reveals resemblance between long non-coding RNAs and 5' leaders of coding RNAs.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33245
Novel targets of the CbrAB/Crc carbon catabolite control system revealed by transcript abundance in Pseudomonas aeruginosa.
  • organism-icon Pseudomonas aeruginosa pao1, Pseudomonas aeruginosa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Novel targets of the CbrAB/Crc carbon catabolite control system revealed by transcript abundance in Pseudomonas aeruginosa.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE59385
The zinc finger protein ZNF658 regulates the transcription of genes involved in zinc homeostasis and affects ribosome biogenesis through the zinc transcriptional regulatory element (ZTRE)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We previously identified the ZTRE in genes involved in zinc homeostasis and showed that it mediates transcriptional repression in response to zinc. We now report that ZNF658 acts at the ZTRE. ZNF658 was identified by MALDI-TOF mass spectrometry of a band excised after EMSA using a ZTRE probe. The protein contains a KRAB domain and 21 zinc fingers. It has similarity with ZAP1 from Saccharomyces cerevisiae, which regulates the response to zinc restriction, including a conserved DNA binding region we show to be functional also in ZNF658. siRNA targeted to ZNF658 abrogated the zinc-induced, ZTRE-dependent reduction in SLC30A5 (ZnT5), SLC30A10 (ZnT10) and CBWD transcripts in human Caco-2 cells and the ability of zinc to repress reporter gene expression from corresponding promoter-reporter constructs. Microarray analysis of the effect of reducing ZNF658 expression by siRNA uncovered large changes in rRNA. We find that ZTREs are clustered within the 45S rRNA precursor. We also saw effects on expression of multiple ribosomal proteins. ZNF658 thus links zinc homeostasis with ribosome biogenesis, the most active transcriptional, and hence zinc-demanding, process in the cell. ZNF658 is thus a novel transcriptional regulator that plays a fundamental role in the orchestrated cellular response to zinc availability.

Publication Title

The zinc finger protein ZNF658 regulates the transcription of genes involved in zinc homeostasis and affects ribosome biogenesis through the zinc transcriptional regulatory element.

Sample Metadata Fields

Cell line

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accession-icon SRP187520
Gene expression atlas of a developing tissue by single cell expression correlation analysis
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconNextSeq 550, Illumina HiSeq 2500

Description

The Drosophila wing disc has been a fundamental model system for the discovery of key signaling pathways and for our understanding of developmental processes. However, a complete map of gene expression in this tissue is lacking. To obtain a complete gene expression atlas in the wing disc, we employed single-cell sequencing (scRNA-seq) and developed a new method for analyzing scRNA-seq data based on gene expression correlations rather than cell mappings. This enables us to discover 824 genes with spatially restricted expression patterns, and to compute expression maps for all genes in the wing disc. This approach identifies both known and new clusters of genes with similar expression patterns and functional relevance. As proof of concept, we characterize the previously unstudied gene CG5151 and show it regulates Wnt signaling. This novel method will enable the leveraging of scRNA-seq data for generating expression atlases of undifferentiated tissues during development. Overall design: Single cell transcriptome experiments from female wandering 3rd instar wing discs were generated: two samples using Drop-seq and one sample using the 10x genomics platform. Bulk polyA-RNA-seq experiment from the same tissue was conducted for comparison.

Publication Title

Gene expression atlas of a developing tissue by single cell expression correlation analysis.

Sample Metadata Fields

Sex, Specimen part, 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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