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accession-icon GSE23751
In Vitro Transcriptome Analysis of Porcine Plexus Epithelial Cells in Response to Streptococcus suis: Functions of the Choroid Plexus in Antimicrobial Defense
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

We used microarrays to detail the global gene expression changes following apical infection of porcine choroid plexus epithelial cells (PCPEC) with Streptococcus suis (S. suis)

Publication Title

In vitro transcriptome analysis of porcine choroid plexus epithelial cells in response to Streptococcus suis: release of pro-inflammatory cytokines and chemokines.

Sample Metadata Fields

Specimen part

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accession-icon GSE23301
Quantitative transcriptomic analysis of abscisic acid-induced and reactive oxygen species-dependent expression changes and proteomic profiling in Arabidopsis suspension cells
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Early rapid changes in response to the phytohormone abscisic acid (ABA) have been observed at the transcript level, but little is known how these transcript changes translate to changes in protein abundance under the same conditions. Here we have performed a global quantitative analysis of transcript and protein changes in Arabidopsis suspension cells in response to ABA using microarrays and quantitative proteomics. In summary, 3494 transcripts and 50 proteins were significantly regulated by ABA over a treatment period of 2024 h. Abscisic acid also caused a rapid and strong increase in production of extracellular reactive oxygen species (ROS) with an average half-rise time of 33 sec. A subset of ABA-regulated transcripts were differentially regulated in the presence of the ROS scavenger dimethylthiourea (DMTU) as compared with ABA alone, suggesting a role for ROS in the regulation of these ABA-induced genes. Transcript changes showed an overall poor correlation to protein changes (r = 0.66). Only a subset of genes was regulated at the transcript and protein level, including known ABA marker genes. We furthermore identified ABA regulation of proteins that function in a branch of glucosinolate catabolism previously not associated with ABA signaling. The discovery of genes that were differentially regulated at the transcript and at the protein level emphasizes the strength of our combined approach. In summary, our dataset not only expands previous studies on gene and protein regulation in response to ABA, but rather uncovers unique aspects of the ABA regulon and gives rise to additional mechanisms regulated by ABA.

Publication Title

Quantitative transcriptomic analysis of abscisic acid-induced and reactive oxygen species-dependent expression changes and proteomic profiling in Arabidopsis suspension cells.

Sample Metadata Fields

Age, Specimen part, Cell line, Time

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accession-icon SRP018838
Single Cell RNA-Seq
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNA-seq transcriptome measurements are typically performed by isolating RNA from large numbers of cells in culture or tissues. While highly informative, such experiments mask the variability in gene expression patterns that exists between individual cells. To gain insight into the dynamics of gene expression on the level of single-cells, we have carried out the transcriptomes of single-cells from the GM12878 cell line using RNA-seq. Overall design: Single GM12878 cells were picked and RNA-seq libraries were generated using the SMART-seq protocol. We also carried out RNA-seq experiments on pools of 10, 30 and 100 cells, on 100pg and 10ng of total RNA, and on pools of 10 cells that were subsequently split into 10 separate sample and processed as if they were single cells in order to assess technical variation in our experiments.

Publication Title

From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21193
The effects of subchronic arsenate exposure on gene expression in the mouse lung
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Eight week old female C57BL/6 mice were exposed to arsenate in drinking water (50 ppm) for a period of twelve weeks (n = 5). Control animals received distilled deionized water (n = 5). Lung tissue was dissected and used for RNA isolation and gene expression microarray analysis.

Publication Title

Genome-wide analysis of DNA methylation and gene expression changes in the mouse lung following subchronic arsenate exposure.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE7112
Abscisic acid effect on wild type and the abh1 mutant
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of the abh1 mutant Arabidopsis plants following treatment with 50 uM abscisic acid (ABA). ABH1 encodes the large (80kDa) subunit of the nuclear mRNA cap binding complex and affects early ABA signal transduction events (Hugouvieux et al., 2001, Cell 106, 477).

Publication Title

mRNA cap binding proteins: effects on abscisic acid signal transduction, mRNA processing, and microarray analyses.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP038871
Noncoding RNA transcriptome analysis during cellular reprogramming
  • organism-icon Mus musculus
  • sample-icon 119 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000

Description

We report the application of single-cell and bulk RNA sequencing technology to examine the noncoding transcriptome of cells undergoing reprogramming to the pluripotent state. Overall design: Examination of noncoding RNAs in reprogrammming cells. We examined iPS cells grown in standard ES cell culture conditions, as well as iPS cells grown in "2i" conditions (small molecule inhibition of Mek and Gsk3). We also compared our iPS samples to male and female ES cells (mES, fES).

Publication Title

Single-cell transcriptome analysis reveals dynamic changes in lncRNA expression during reprogramming.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP061241
LIN28A modulates splicing and gene expression programs in breast cancer cells [RIP-Seq]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

The goals of this study were to identify LIN28 downstream gene targets in breast cancer cells. We use a subclone of the MCF-7 breast cancer cell line, MCF-7M as our model system. Methods: mRNA-protein complexes (mRNP) lysates were prepared from MCF-7M cells and incubated with Protein-A Sepharose beads (Sigma-Aldrich) and either LIN28 (Abcam) or control normal rabbit serum IgG antibodies. LIN28 interacting mRNAs were identified by whole genome sequencing. Results: Using an optimized data analysis workflow, we mapped approximately 13 million sequence reads for LIN28-IP and CTL- IP (IgG), respectively to the to the human genome (build h19). Conclusions: mRNA were significantly bound by LIN28 if LIN28 RIP had 2.5 fold increase in normalized reads compared to IgG. We found that LIN28 was predominantly bound at coding exons and 3''UTRs, 38% & 45% respectively, in the 843 mRNAs within MCF-7M genome. Overall design: LIN28 mRNA enriched regions identified from LIN28/RNA complexes prepared from MCF-7M cells.

Publication Title

LIN28A Modulates Splicing and Gene Expression Programs in Breast Cancer Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP014006
RNA sequencing in fly heads to examine the effect of spermidine feeding on transcription in the ageing fly brain.
  • organism-icon Drosophila melanogaster
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2000

Description

mRNA sequencing was used to identify genome wide transcriptional changes occuring in fly heads in response to spermidine feeding. This study shed light on the molecular mechanisms through wich spermidine can protect against age-dependent memory impairment. Overall design: mRNA profiles from 3 and 10 day old Drosophila melanogaster heads were generated in duplicate by deep sequencing using Illumina GAIIx. mRNA profiles from flies that were fed food with 5mM spermidine were compared to profiles from flies that had no spermidine in thier food.

Publication Title

Restoring polyamines protects from age-induced memory impairment in an autophagy-dependent manner.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE22139
Bone morphogenetic protein-7 is a MYC target with pro-survival functions in childhood medulloblastoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Medulloblastoma (MB) is the most common malignant brain tumor in children, among whom overexpression or amplification of MYC oncogenes has been associated with poor clinical outcome. Although the MYC functions during normal development and oncogenesis in various systems have been extensively investigated, the transcriptional targets mediating MYC effects in MB are still elusive. Their identification and roles during MB onset and progression are important and will ultimately suggest novel potential therapeutic targets. cDNA microarray analysis was used to compare the effects of overexpressing and silencing MYC on the transcriptome of a MB-derived cell line. We identified 209 genes with potential relevance to MYC-dependent cellular responses in MB. Among the MYC-responsive genes, we found members of the bone morphogenetic protein (BMP) signaling pathway, which plays a crucial role during the development of the cerebellum. In particular, the cytokine gene BMP7 was identified as a direct target of MYC in MB cells. Similar to the effect induced by BMP7 silencing by siRNA, the use of a small-molecule inhibitor of the BMP/SMAD signaling pathway reduced cell viability in a panel of MB cells. Altogether, our findings indicate that high MYC levels drive BMP7 expression in MB to induce pro-survival and pro-proliferative cellular pathways. This observation suggests that targeting the BMP/SMAD pathway may be a new therapeutic concept for the treatment of childhood MB.

Publication Title

Bone morphogenetic protein-7 is a MYC target with prosurvival functions in childhood medulloblastoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP002416
mRNA-seq with Agnostic Splice Site Discovery for CNS Transcriptomics Tested in Chronic Pain
  • organism-icon Rattus norvegicus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The study pursued dual goals: To advance mRNA-seq bioinformatics towards unbiased transcriptome capture and to demonstrate its potential for discovery in neuroscience by applying the approach to an in vivo model of neurological disease. We found that 12.4% of known genes were induced and 7% were suppressed in the dysfunctional (but anatomically intact) L4 dorsal root ganglion (DRG) 2 weeks after L5 spinal Nerve Ligation (SNL). A new algorithm for agnostic mapping of pre-mRNA splice junctions (SJ) achieved a precision of 97%. Overall design: mRNA-seq of L4 DRG 2 weeks and 2 months after L5 spinal nerve ligation. CONTROL and SNL were used to identify differential gene expression between chronic pain and standard conditions in Rattus norvegicus. CONTROL and SNL and PILOT were used to perform 'agnostic splice site discovery' in the nervous system transcriptome in Rattus norvegicus

Publication Title

mRNA-seq with agnostic splice site discovery for nervous system transcriptomics tested in chronic pain.

Sample Metadata Fields

No sample metadata fields

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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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