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accession-icon GSE38588
Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition
  • organism-icon Sus scrofa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The liver transcriptomes of two female groups (High and Low) with phenotypically extreme intramuscular fatty acid composition were sequenced using RNA-Seq [accn: SRA053452, subid: 86092, Bioproject: PRJNA168072]. A total of 146 and 180 unannotated protein-coding genes were identified in intergenic regions for the L and H groups, respectively. In addition, a range of 5.8 to 7.3% of repetitive elements was found, with SINEs being the most abundant elements. The expression in liver of 186 (L) and 270 (H) lncRNAs was also detected. The higher reproducibility of the RNA-Seq data was validated by RT-qPCR and porcine expression microarrays, therefore showing a strong correlation between RT-qPCR and RNA-Seq data (ranking from 0.79 to 0.96), as well as between microarrays and RNA-Seq (r=0.72). A differential expression analysis between H and L animals identified 55 genes differentially-expressed between groups. Pathways analysis revealed that these genes belong to biological functions, canonical pathways and three gene networks related to lipid and fatty acid metabolism. In concordance with the phenotypic classification, the pathways analysis inferred that linolenic and arachidonic acids metabolism was altered between extreme individuals. In addition, a connection was observed among the top three networks, hence suggesting that these genes are interconnected and play an important role in lipid and fatty acid metabolism.

Publication Title

Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP076475
Gene expression by high-throughput sequencing of T47D-MTVL human breast cancer cells upon H1.4 knock-down and multiple H1 variants
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression of T47D-MTVL human breast cancer cells expressing Dox-inducible shRNAs against histone H1.4 (120sh) or multiple H1 variants (225sh) Overall design: Stable breast cancer-derived cell lines expressing an shRNA against one of each of the histone H1 isoforms in response to doxycycline (Dox) were grown for six days in the presence or absence of Doxicycline, RNA extracted and high-thorughput sequenced. Cell lines used: inducible shRNA against H1.4 or multiple H1 variants and random shRNA-expression vector.

Publication Title

Histone H1 depletion triggers an interferon response in cancer cells via activation of heterochromatic repeats.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE104403
Expression data in Ucp2+/+ (WT) and Ucp2-/- (KO) colon tumors from AOM/DSS-treated mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The objective of the study was to evalute the changes in gene expression associated to UCP2 invalidation in colon tumors from AOM/DSS-treated mice

Publication Title

UCP2 Deficiency Increases Colon Tumorigenesis by Promoting Lipid Synthesis and Depleting NADPH for Antioxidant Defenses.

Sample Metadata Fields

Specimen part

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accession-icon SRP118788
Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-ß signalling and malignant features in vitro and in vivo 
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed a polysomal RNA-Seq screen in non-malignant breast epithelial (MCF10A) and TNBC (MDA-MB-231) cells exposed to normoxic or hypoxic conditions and/or treated with an mTOR pathway inhibitor. Analysis of both the transcriptome and the translatome identified mRNA transcripts translationally activated or repressed by hypoxia in an mTOR-dependent or -independent manner. The mRNA populations of each sample were converted to cDNA libraries using the TruSeq protocol and then sequenced using a HiSeq 2000 machine. Paired-end reads were mapped against the reference human genome (GRCh38) with STAR v2.5.1b (ENCODE parameters for long RNA) and GENCODE v24 annotation. Gene quantification was performed using RSEM v1.2.28 with default parameters. Only protein-coding genes were included in the analysis. Normalization of the count matrix was performed with the TMM method of the edgeR R package. Polysomal RNA (P) and RNA total (T) fold changes across conditions were calculated with edgeR. Significant genes (FDR < 5% for MCF10A cells and FDR < 10% for MDA-MB-231 cells) in polysomes were selected for translational efficiency calculation (log2FC RNA polysomes/log2FC RNA total). Genes with a z-score > 1.5 were considered to have an increased translational efficiency and genes with a z-score < –1.5 were considered to have a decreased translational efficiency. GO enrichment analysis of significant genes was performed with the DAVID database. Overall design: RNA-Seq profiles in polysomes vs total in Normoxia, Hypoxia, Hypoxia + PP242, Normoxia + PP242 in MCF10A and MDA-MB-231 cell lines

Publication Title

Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signaling and malignant features <i>in vitro</i> and <i>in vivo</i>.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP131516
RNA Sequencing analysis of different genetically characterized lung cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed RNA sequencing to assess changes in gene expression in lung cancer cell lines with MET genetic alterations with or without co-occurrence of JAK2 inactivating mutations. Different treatments have been administrated to activate or inhibit selected pathways in order to define MET signature and IFNg (or JAK/STAT) signature. Overall design: Differential expression analysis of RNA sequencing of 4 different lung cancer cell lines with MET genetic alterations treated with different treatements to activate or inhibit selected pathways

Publication Title

<i>MET</i>-Oncogenic and <i>JAK2</i>-Inactivating Alterations Are Independent Factors That Affect Regulation of PD-L1 Expression in Lung Cancer.

Sample Metadata Fields

Disease, Disease stage, Cell line, Treatment, Subject

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accession-icon GSE52735
Gene signature predictive of response to chemotherapy in mCRC [array]
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective is to generate a robust and validated predictor profile for chemotherapy response in patients with mCRC using microarray gene expression profiles of primary colorectal cancer tissue.

Publication Title

Gene expression profile predictive of response to chemotherapy in metastatic colorectal cancer.

Sample Metadata Fields

Disease, Disease stage

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accession-icon SRP171164
Linking cell dynamics with coexpression networks to characterize key events in chronic virus infections
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The host immune response against an infection requires the coordinated action of many diverse cell subsets that dynamically adapt to the pathogen threat. Here we combined WGCNA and DCQ to analyse time-resolved mouse splenic transcriptomes in acute and chronic LCMV infections. This approach allowed to better characterize the dynamic cell events occurring in complex tissues such as the induction of the adaptive T cell response which requires the coordination of monocytes/macrophages and CD8+ T cells. Overall design: mRNA profiles of CD8 T cells and macrophages (in duplicate days 0 and 7 post-infection) from C57BL/6 mice infected with 2x10E2 pfu of LCMV strain Docile, generated by deep sequencing.

Publication Title

Linking Cell Dynamics With Gene Coexpression Networks to Characterize Key Events in Chronic Virus Infections.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP177951
RNAseq for finding splicing events in Arabidopsis prefoldin and lsm8 mutants in different environmental conditions
  • organism-icon Arabidopsis thaliana
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This GEO submission includes RNAseq raw data (fastq) and processed data (using ASpli 1.6.0) from samples obtained in the wild type and the single prefoldin4 and lsm8 mutants in three different environmental conditions as well as in the triple prefoldin2 prefoldin4 prefoldin6 mutant growth in standard conditions. Overall design: 28 biological samples from 10 different conditions and genopypes, including the Col-0 WT in each condition (standard, cold and salt conditions)

Publication Title

Prefoldins contribute to maintaining the levels of the spliceosome LSM2-8 complex through Hsp90 in Arabidopsis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP126449
Suppressive and stimulatory host processes during virus infection fate decisions
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The processes and mechanisms of virus infection fate decisions that are the result of a dynamic virus - immune system interaction with either an efficient effector response and virus elimination or an alleviated immune response and chronic infection are poorly understood. Here we characterized the host response to acute and chronic lymphocytic choriomeningitis virus (LCMV) infections by gene coexpression network analysis of time-resolved splenic transcriptomes. We found first, an early attenuation of inflammatory monocyte/macrophage prior to the onset of T cell exhaustion and second, a critical role of the XCL1-XCR1 communication axis during the functional adaptation of the T cell response to the chronic infection state. These findings not only reveal an important feedback mechanism that couples T cell exhaustion with the maintenance of a lower level of effector T cell response but also suggest therapy options to better control virus levels during the chronic infection phase. Overall design: mRNA profiles of spleens (in duplicate, days 0, 3, 5, 6, 7, 9 and 31 post-infection) and macrophages (in triplicate, day 6 post-infection) from C57BL/6 mice infected with 2x10E2 (acute) or 2x10E6 (chronic) pfu of LCMV strain Docile, generated by deep sequencing.

Publication Title

Systems analysis reveals complex biological processes during virus infection fate decisions.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP186787
Inferring dynamic regulatory programs in non-stationary expression time courses with applications to early human neural development
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We generated RNA-seq data to measure transcriptional profiles of twenty hPSC-derived NSC populations, representing distinct regions of the developing human hindbrain and rostral cervical spinal cord. These cells are differentiated using a protocol that induces collinear activation of region-specific HOX genes during exposure to FGF8 and Wnt signaling (Lippmann et al, 2015 PMID:25843047). By transitioning to media containing retinoic acid after varying durations of Wnt signaling, NSCs are generated with unique rostrocaudal identities that uniformly express the neuroectodermal marker Pax6 and form N-cadherin+ rosette structures in vitro. Overall design: The data consist of RNA-seq measurements taken from hPSC-derived NSCs that were exposed to CHIR99021 for differents amount of time (2-72hr) prior to retinoic acid treatment. Each time point is represented in triplicate, with the exception of 48 hours, for which one replicate (48_B1) was filtered due to excessive zero-count genes.

Publication Title

Inferring Regulatory Programs Governing Region Specificity of Neuroepithelial Stem Cells during Early Hindbrain and Spinal Cord Development.

Sample Metadata Fields

Cell line, 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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