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RNA-Seq and find: entering the RNA deep field

Initial high-throughput RNA sequencing (RNA-Seq) experiments have revealed a complex and dynamic transcriptome, but because it samples transcripts in proportion to their abundances, assessing the extent and nature of low-level transcription using this technique has been difficult. A new assay, RNA C...

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Detalles Bibliográficos
Autores principales: Roberts, Adam, Pachter, Lior
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308029/
https://www.ncbi.nlm.nih.gov/pubmed/22113004
http://dx.doi.org/10.1186/gm290
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author Roberts, Adam
Pachter, Lior
author_facet Roberts, Adam
Pachter, Lior
author_sort Roberts, Adam
collection PubMed
description Initial high-throughput RNA sequencing (RNA-Seq) experiments have revealed a complex and dynamic transcriptome, but because it samples transcripts in proportion to their abundances, assessing the extent and nature of low-level transcription using this technique has been difficult. A new assay, RNA CaptureSeq, addresses this limitation of RNA-Seq by enriching for low-level transcripts with cDNA tiling arrays prior to high-throughput sequencing. This approach reveals a plethora of transcripts that have been previously dismissed as 'noise', and hints at single-cell transcription fingerprints that may be crucial in defining cellular function in normal and disease states.
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spelling pubmed-33080292012-03-21 RNA-Seq and find: entering the RNA deep field Roberts, Adam Pachter, Lior Genome Med Research Highlight Initial high-throughput RNA sequencing (RNA-Seq) experiments have revealed a complex and dynamic transcriptome, but because it samples transcripts in proportion to their abundances, assessing the extent and nature of low-level transcription using this technique has been difficult. A new assay, RNA CaptureSeq, addresses this limitation of RNA-Seq by enriching for low-level transcripts with cDNA tiling arrays prior to high-throughput sequencing. This approach reveals a plethora of transcripts that have been previously dismissed as 'noise', and hints at single-cell transcription fingerprints that may be crucial in defining cellular function in normal and disease states. BioMed Central 2011-11-22 /pmc/articles/PMC3308029/ /pubmed/22113004 http://dx.doi.org/10.1186/gm290 Text en Copyright ©2011 BioMed Central Ltd.
spellingShingle Research Highlight
Roberts, Adam
Pachter, Lior
RNA-Seq and find: entering the RNA deep field
title RNA-Seq and find: entering the RNA deep field
title_full RNA-Seq and find: entering the RNA deep field
title_fullStr RNA-Seq and find: entering the RNA deep field
title_full_unstemmed RNA-Seq and find: entering the RNA deep field
title_short RNA-Seq and find: entering the RNA deep field
title_sort rna-seq and find: entering the rna deep field
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308029/
https://www.ncbi.nlm.nih.gov/pubmed/22113004
http://dx.doi.org/10.1186/gm290
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