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Autor(en) / Beteiligte
Titel
What Is the Transcriptome and How It Is Evaluated
Ist Teil von
  • Transcriptomics in Health and Disease, p.3-50
Ort / Verlag
Cham: Springer International Publishing
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • The concept of the transcriptome revolves around the complete set of transcripts present in a given cell type, tissue, or organ and encompasses both coding and noncoding RNA molecules, although we often assume that it consists only of messenger RNAs (mRNAs) because of their importance in encoding proteins. Unlike the nuclear genome, whose composition and size are essentially static, the transcriptome often changes. The transcriptome is influenced by the phase of the cell cycle, the organ, exposure to drugs or physical agents, aging, diseases, and a multitude of other variables, all of which must be considered at the time of its determination. However, it is precisely this property that makes the transcriptome useful for the discovery of gene function and as a molecular signature. In this chapter, we review the beginnings of transcriptome research, the main types of RNA molecules found in a mammalian cell, the methods of analysis, and the bioinformatics pipelines used to organize and interpret the large quantities of data generated by the two current gold-standard methods of analysis: microarrays and high-throughput RNA sequencing (RNA-Seq). Attention is also given to noncoding RNAs, using microRNAs (miRNAs) as an example because they physically interact with mRNAs and play a role in the fine control of gene expression.
Sprache
Englisch
Identifikatoren
ISBN: 9783030878207, 3030878201
DOI: 10.1007/978-3-030-87821-4_1
Titel-ID: cdi_springer_books_10_1007_978_3_030_87821_4_1
Format
Schlagworte
3′ untranslated region (3′ UTR), ANOVA, Argonaute, Background, Bioconductor, Bioinformatics analysis, Biological replicates, cDNA, ChIP, Cluster analysis, Cy-dyes, Cy3, Cy5, Data processing, dbEST database, Dicer, Differential expression, Drosha, Enrichment analysis, Exportin-5, Expressed sequence tags (ESTs), FPKM, Full-length transcripts, Functional genomics, Gene ontology, Genome, Genome-scale transcriptional studies, Genome-wide gene expression profiling, Hierarchical clustering, High-throughput approaches, High-throughput gene expression analysis, High-throughput RNA sequencing (RNA-Seq), High-throughput sequencing, High-throughput technologies, Human genome sequencing, Library construction, Long non-coding RNAs (lncRNAs), Macroarrays, Messenger RNAs (mRNAs), Microarrays, microRNAs (miRNAs), miRNA regulatory mechanisms, miRNA-target therapies, miRNome, Next generation sequencing (NGS), Non-coding RNAs, Non-protein coding transcripts, Non-specific hybridization, Normalization, ORESTES, P isotope, piRNAs, Poly(A) tail, Posttranscriptional gene regulation, Pre-miRNA, Proteome, RISC, RNA Pol II, RNA-Seq, RNAi, rnRNAs, RPKM, rRNAs, RT-PCR, Sequencing depth, Significant analysis of microarrays, Single-cell sequencing, siRNAs, Small non-coding RNA, snoRNAs, snRNAs, Statistical analysis, Supervised classification, synthesis, Tag-sequencing, Transcriptional gene expression, Transcriptional noise, Transcriptome, Transcriptome annotation, Transcriptome-wide profiling, tRNAs, Unsupervised classification

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