Whole Transcriptome Analysis on 5500 Series
Genetic Analyzers
Enlarge Image Overview of SOLiD® Total RNA-Seq Kit Workflow Click to enlarge. Global transcriptome analysis is rapidly growing in prominence, providing insight into research on complex conditions including cancer, diabetes, and heart disease. The accuracy and throughput of the 5500xl Genetic Analyzer enables unparalleled analysis of RNA expression, or RNA-Seq. Advantages Over Microarrays Enlarge Image Strand-Specific Read Distribution Click to enlarge. Detect All Known and Novel RNAs in a Transcriptome The sequencing-based SOLiD® Total RNA-Seq Kit enables you to detect all known and novel RNAs present in biological samples, with no bias toward known RNA molecules (a common drawback with probe-based technologies). RNA-Seq provides you with new views of a cell’s transcriptome, including:
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Together, the SOLiD® Total RNA-Seq Kit and the Ultra–High-Throughput 5500xl Genetic Analyzer Allow You to:
- Conserve strand specificity of cDNA—discern between overlapping RNAs transcribed from the sense or antisense strand Learn More
- Increase read number—generate greater than 700 million mapped sequence reads per FlowChip for RNA expression analysis
- Quantify critical parameters—ERCC Spike-In Control Mixes allow you to calculate changes in expression level, determine lower limits of detection, and calculate your dynamic range with a high degree of confidence. Learn more.
- Detect novel RNAs—detect fusion transcripts and alternate splicing with reverse sequencing on the same read
- Multiplex—sequence up to 96 RNA libraries simultaneously; reduce the cost of analysis per sample.
Step-by-Step Guide to Whole Transcriptome Analysis Products
Determine the level of sensitivity you need and the number of samples you want to analyze. The number of mappable sequences you need is dependent on the:
- Genome size of the organism you are studying
- Complexity of the RNA fraction you are studying
For instance, for the human genome and other similar sized genomes, the current literature suggests you need 50 million mappable sequences to identify known RefSeqs. It is not known how many mappable sequences are needed to discover all relevant RNAs and different alleles of RNAs.
Learn More
Application Notes
Posters
Publications
- mRNA-Seq whole-transcriptome analysis of a single cell
Article - The Structure and Complexity of a Bacterial Transcriptome
Article - Stem cell transcriptome profiling via massive-scale mRNA sequencing
Article - Tumor Transcriptome Sequencing Reveals Allelic Expression Imbalances Associated with Copy Number Alterations
- RNA-Seq analysis to capture the transcriptome landscape of a single cell
- Whole-Genome Sequencing for Optimized Patient Management
Publication: Science Translational Medicine (2011)
Authors: Bainbridge M. et al. - Genome-wide Analysis of the 5' and 3' Ends of Vaccinia Virus Early mRNAs Delineates Regulatory Sequences of Annotated and Anomalous Transcripts
Publication: Journal of Virology (2011)
Authors: Yang Z., et al. - The Cluster 1 Type VI Secretion System Is a Major Virulence Determinant in Burkholderia pseudomallei
Publication: Infection and Immunity (2011)
Authors: Burtnick M., et al. - Maternal Epigenetic Pathways Control Parental Contributions to Arabidopsis Early Embryogenesis
Publication: Cell (2011)
Authors: Autran D. et al. - Short reads and nonmodel species: exploring the complexities of next-generation sequence assembly and SNP discovery in the absence of a reference genome
Publication: Molecular Ecology Resources (2011)
Authors: Everett M.V. et al. - Massive-Scale RNA-Seq Analysis of Non Ribosomal Transcriptome in Human Trisomy 21
Publication: PLos One (2011)
Authors: Costa V. et al. - Development and applications of single-cell transcriptome analysis
Publication: Nature Methods (2011)
Authors: Tang F. et al. - NanoRNAs Prime Transcription Initiation In Vivo
Publication: Molecular Cell (2011)
Authors: Goldman et al. - Characterization and improvement of RNA-Seq precision in quantitative transcript expression profiling
Publication: Bioinformatics (2011)
Authors: Labaj P. et al. - A tissue-specific landscape of sense/antisense transcription in the mouse intestine
Publication: BMC Genomics (2011)
Authors: Klostermeier U. et al. - Metatranscriptomics of a hot-spring microbial mat
Publication: The ISME Journal (2011)
Authors: Z Liu et al. - Deterministic and Stochastic Allele Specific Gene Expression in Single Mouse Blastomeres
Publication: PloS One, (2011)
Authors: Tang F. et al. - Whole-transcriptome RNAseq analysis from minute amount of total RNA
Publication: Nucleic Acids Research
Authors: Tariq M. et al, 2011 - XUTs are a class of Xrn1-sensitive antisense regulatory non-coding RNA in yeast
Publication: Dijk E. et al, 2011
Authors: Nature - Maternal Epigenetic Pathways Control Parental Contributions to Arabidopsis Early Embryogenesis
Publication: CellAuthors: Autran. D et al, 2011 - Whole-transcriptome RNAseq analysis from minute amount of total RNA
Tariq M. et al, 2011
Nucleic Acids Research - XUTs are a class of Xrn1-sensitive antisense regulatory non-coding RNA in yeast
Dijk E. et al, 2011
Nature - Maternal Epigenetic Pathways Control Parental Contributions to Arabidopsis Early Embryogenesis
Autran. D et al, 2011
Cell
- mRNA-Seq Analysis of a Single Cell
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For Research Use Only. Not intended for any animal or human therapeutic or diagnostic use.
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