We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the United States Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for sequence discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At all sequencing depths, we discover unannotated exon-exon junctions, with >80% validated by qPCR. We find that measurements of relative expression are accurate and reproducible across sites and platforms if specific filters are used. In contrast, RNA-seq and microarrays do not provide accurate absolute measurements, and gene-specific biases are observed, for these and qPCR. Measurement performance depends on the platform and data analysis pipeline, and variation is large for transcriptlevel profiling. The complete SEQC data sets, comprising >100 billion reads (10Tb), provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings.
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium.
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View SamplesGene-expression microarray datasets generated as part of the Immunological Genome Project (ImmGen). Primary cells from multiple immune lineages are isolated ex-vivo, primarily from young adult B6 male mice, and double-sorted to >99% purity. RNA is extracted from cells in a centralized manner, amplified and hybridized to Affymetrix 1.0 ST MuGene arrays. Protocols are rigorously standardized for all sorting and RNA preparation. Data is released monthly in batches of cell populations.
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
Sex, Age
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Two gene co-expression modules differentiate psychotics and controls.
Sex, Age, Specimen part, Disease
View SamplesSchizophrenia (SCZ) and bipolar disorder (BD) are highly heritable psychiatric disorders. Associated genetic and gene expression
Two gene co-expression modules differentiate psychotics and controls.
Sex, Age, Specimen part, Disease
View SamplesSchizophrenia (SCZ) and bipolar disorder (BD) are highly heritable psychiatric disorders. Associated genetic and gene expression
Two gene co-expression modules differentiate psychotics and controls.
Sex, Age, Specimen part, Disease
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia.
Age, Specimen part, Time
View SamplesPurpose: The goal of this study was to assess gene expression changes upon SAHA treatment in neurons derived from patients with A152T Tau mutation Overall design: iPSC derived neurons were treated with SAHA at different dosage for several days
Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia.
No sample metadata fields
View SamplesPurpose: The goal of this study was to assess gene expression changes upon SAHA treatment in cells overexpressing miR-203. Overall design: Primary cortical cultures were established using E15 cortical cultures from C57BL/6J mice. At DIV0, cells were infectd with either miR-203 (high titre - 1MOI) or intermediate titre (0.5MOI) or control (high 1MOI) lentivirus andalso treated with different dose of SAHA. At DIV8, total RNA was isolated using NucleoSpin RNA XS kit (Takara). Libraries were prepared using Standard illumina stranded mRNA-seq protocol.
Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sex, Age, Specimen part, Treatment, Time
View SamplesWe analyze the expression profile of ISGs in the context of IFNAR1-KO primary murine B cells and macrophages. These analses were used to define ISG gene sets that are under tonic control. Furthermore, these analyses enabled the definition of ISGs that are dependent on Tyk2 signaling.
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sex, Age
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