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SRP066231
Mus musculus
77 Downloadable Samples
Illumina HiSeq 2500
Description
High temporal resolution RNAseq timecourse of mouse ES differentiation Investigations of transcriptional responses during developmental transitions typically use time courses with intervals that are not commensurate with the timescales of known biological processes. Moreover, such experiments typically focus on protein-coding transcripts, ignoring the important impact of long noncoding RNAs. We evaluated coding and noncoding expression dynamics at unprecedented temporal resolution (6-hourly) in differentiating mouse embryonic stem cells and report the effects of increased temporal resolution on the characterization of the underlying molecular processes. Overall design: Biological duplicate 120 hours of undirected mouse ES cell differentiation sampled 6 hourly Biological duplicate, low passage number (P18) W9.5 ESCs were cultured and differentiated as described previously [PMID:18562676; 17286599]. Cultures were harvested every six hours from the induction of differentiation to 120 hours post differentiation induction. Total RNA from cultures was purified using Trizol (Life Technologies) and DNase treatment was performed by RQ1 DNase (Promega) according to the manufacturer’s instructions. RNA integrity was measured on a Bioanalyzer RNA Nano chip (Agilent). RNA-Seq library preparation and sequencing of Poly-A-NGS libraries generated from 500 ng total RNA using SureSelect Strand Specific RNA Library Preparation Kit (Agilent) according to the manufacturer’s instructions. Paired-end libraries were sequenced to the first 100 bp on a HiSeq 2500 (Illumina) on High Output Mode. Library sequencing quality was determined using FastQC (Babraham Bioinformatics) and FastQ Screen (Babraham Bioinformatics). Illumina adaptor sequence and low quality read trimming (read pair removed if < 20 base pairs) was performed using Trim Galore! (Babraham Bioinformatics: www.bioinformatics.babraham.ac.uk/). Tophat2 [PMID:23618408] was used to align reads to the December 2011 release of the mouse reference genome (mm10) as outlined by Anders et al.[PMID:23975260]. Read counts data corresponding to GENCODE vM2 transcript annotations were generated using HTSeq[PMID:25260700]. All analyses were performed in the R Statistical Environment [PMID:18000755]. Briefly, counts data were background corrected and normalized for library size using edgeR [PMID:19910308], then transformed using voom[PMID:24485249] for differential expression analysis using LIMMA[PMID: 16646809].
Publication Title
High resolution temporal transcriptomics of mouse embryoid body development reveals complex expression dynamics of coding and noncoding loci.
Sample Metadata Fields
Specimen part, Cell line, Subject, Time
View Samples- Homo sapiens
- 132 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The ability to dissect heterogeneity in colorectal cancer (CRC) is a critical step in developing predictive biomarkers. The goal of this study was to develop a gene expression based molecular subgrouping model, which predicts the likelihood that patients will respond to specific therapies.
Publication Title
Activation of the mTOR Pathway by Oxaliplatin in the Treatment of Colorectal Cancer Liver Metastasis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 66 Downloadable Samples
- Illumina HiSeq 2000
Description
Purpose: Identify differentially expressed genes in placental samples from early-onset (EO) IUGR, EO-PE, as well as pregnancies complicated by both EO-PE and EO-IUGR Overall design: Methods: Isolated total RNA from human placenta at birth and used it for RNA-sequencing on the Hiseq2000. Sequences were aligned to the human transcriptome (hg19/genome_build37) . Aligned sequences were then used to obtain abundance measurements and conduct differential expression analysis.
Publication Title
Placental microRNAs in pregnancies with early onset intrauterine growth restriction and preeclampsia: potential impact on gene expression and pathophysiology.
Sample Metadata Fields
Specimen part, Subject
View Samples- Vitis vinifera
- 174 Downloadable Samples
- Affymetrix Vitis vinifera (Grape) Genome Array (vitisvinifera)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 53 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We studied intragraft gene expression profiles of positive crossmatch (+XM) kidney transplant recipients who develop transplant glomerulopathy (TG) and those who do not. Whole genome microarray analysis and quantitative rt-PCR for 30 transcripts were performed on RNA from protocol renal allograft biopsies in 3 groups: 1) +XM/TG+ biopsies before and after TG; 2) +XM/NoTG; and 3) negative crossmatch kidney transplants (control). Microarray comparisons showed few differentially expressed genes between paired biopsies from +XM/TG+ recipients before and after the diagnosis of TG. Comparing +XM/TG+ and control groups, significantly altered expression was seen for 2,447 genes (18%) and 3,200 genes (24%) at early and late time points, respectively. Canonical pathway analyses of differentially expressed genes showed inflammatory genes associated with innate and adaptive immune responses. Comparing +XM/TG+ and +XM/NoTG groups, 3,718 probe sets were differentially expressed but these were over-represented in only 4 pathways. A classic accommodation phenotype was not identified. Using rt-PCR, the expression of inflammatory genes was significantly increased in +XM/TG+ recipients compared to control biopsies and to +XM/NoTG biopsies. In conclusion, pre-transplant DSA results in a gene expression profile characterized by inflammation and cellular infiltration and the majority of XM+ grafts are exposed to chronic injury.
Publication Title
Intragraft gene expression in positive crossmatch kidney allografts: ongoing inflammation mediates chronic antibody-mediated injury.
Sample Metadata Fields
Specimen part, Time
View Samples- Vitis vinifera
- 38 Downloadable Samples
- Affymetrix Vitis vinifera (Grape) Genome Array (vitisvinifera)
Description
Changes in gene expression during berry development during a grape growing season were analysed.
Publication Title
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.
Sample Metadata Fields
No sample metadata fields
View Samples- Vitis vinifera
- 8 Downloadable Samples
- Affymetrix Vitis vinifera (Grape) Genome Array (vitisvinifera)
Description
Differences in gene expression were compared for grape berry flesh and skin.
Publication Title
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The primary aim of this project was to identify novel factors, in particular the cell-surface protein CD109, which regulate osteoclastogenesis. Microarray analysis was performed comparing two pre-osteoclast cell lines generated from the RAW 264.7 osteoclast cell line: one that has the capacity to fuse forming large multinucleated cells and one that does not fuse. It was found that CD109 was up-regulated by > 17-fold in the osteoclast forming cell line when compared to the cell line that does not fuse.
Publication Title
CD109 plays a role in osteoclastogenesis.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Osteoclast (OC) differentiation undergoes a two-step process: commitment of hematopoietic progenitor cells to tartrate-resistant acid phosphatase (TRAcP) positive OC precursors (OCPs), and fusion of OCPs into multinucleated OCs. In order to identify transcriptional profiles of genes in the transitional phase between OC commitment and fusion in OCG, Affymetrix Mouse Gene 1.0 ST arrays were performed on total RNA extracted from mouse (SV129/BL6 ) monocytes and pre-osteoclasts (pre-OCs), primed with macrophage colony-stimulated factor (M-CSF) or M-CSF and soluble recombinant receptor activator of NF-B ligand (sRANKL), respectively. The analysis identified 656 RANKL-up or down-regulated in the early stage of osteoclastogenesis.
Publication Title
The actin binding protein adseverin regulates osteoclastogenesis.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Expression 430B Array (moe430b), Affymetrix Mouse Expression 430A Array (moe430a)
Description
Comparison of R1 embryonic stem cells response to DMSO and retinoic acid and control
Publication Title
Meta-analysis of differentiating mouse embryonic stem cell gene expression kinetics reveals early change of a small gene set.
Sample Metadata Fields
Specimen part, Cell line, Compound
View Samples