Applications of RNA-Seq in Biology and Medicine

This book evaluates and comprehensively summarizes the scientific findings that have been achieved through RNA-sequencing (RNA-Seq) technology. RNA-Seq transcriptome profiling of healthy and diseased tissues allows FOR understanding the alterations in cellular phenotypes through the expression of di...

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Kieli:englanti
Julkaistu: IntechOpen 2023
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collection Directory of Open Access Books
description This book evaluates and comprehensively summarizes the scientific findings that have been achieved through RNA-sequencing (RNA-Seq) technology. RNA-Seq transcriptome profiling of healthy and diseased tissues allows FOR understanding the alterations in cellular phenotypes through the expression of differentially spliced RNA isoforms. Assessment of gene expression by RNA-Seq provides new insight into host response to pathogens, drugs, allergens, and other environmental triggers. RNA-Seq allows us to accurately capture all subtypes of RNA molecules, in any sequenced organism or single-cell type, under different experimental conditions. Merging genomics and transcriptomic profiling provides novel information underlying causative DNA mutations. Combining RNA-Seq with immunoprecipitation and cross-linking techniques is a clever multi-omics strategy assessing transcriptional, post-transcriptional and post-translational levels of gene expression regulation.
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spelling doab-20.500.12854ir-1312572024-04-05T17:30:55Z Applications of RNA-Seq in Biology and Medicine Louis, Irina Vlasova-St. transcriptome, gene expression, genes, dysbiosis, biofilms, metagenomics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology This book evaluates and comprehensively summarizes the scientific findings that have been achieved through RNA-sequencing (RNA-Seq) technology. RNA-Seq transcriptome profiling of healthy and diseased tissues allows FOR understanding the alterations in cellular phenotypes through the expression of differentially spliced RNA isoforms. Assessment of gene expression by RNA-Seq provides new insight into host response to pathogens, drugs, allergens, and other environmental triggers. RNA-Seq allows us to accurately capture all subtypes of RNA molecules, in any sequenced organism or single-cell type, under different experimental conditions. Merging genomics and transcriptomic profiling provides novel information underlying causative DNA mutations. Combining RNA-Seq with immunoprecipitation and cross-linking techniques is a clever multi-omics strategy assessing transcriptional, post-transcriptional and post-translational levels of gene expression regulation. 2023-12-01T19:06:32Z 2023-12-01T19:06:32Z 2021 book ONIX_20231201_9781839628153_2368 9781839628153 9781839626869 9781839628160 https://directory.doabooks.org/handle/20.500.12854/131257 eng image/jpeg n/a https://www.intechopen.com/books/10369 https://mts.intechopen.com/storage/books/10369/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.91555 10.5772/intechopen.91555 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781839628153 9781839626869 9781839628160 IntechOpen 142 open access
spellingShingle transcriptome, gene expression, genes, dysbiosis, biofilms, metagenomics
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology
Applications of RNA-Seq in Biology and Medicine
title Applications of RNA-Seq in Biology and Medicine
title_full Applications of RNA-Seq in Biology and Medicine
title_fullStr Applications of RNA-Seq in Biology and Medicine
title_full_unstemmed Applications of RNA-Seq in Biology and Medicine
title_short Applications of RNA-Seq in Biology and Medicine
title_sort applications of rna seq in biology and medicine
topic transcriptome, gene expression, genes, dysbiosis, biofilms, metagenomics
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology
topic_facet transcriptome, gene expression, genes, dysbiosis, biofilms, metagenomics
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology
url ONIX_20231201_9781839628153_2368