High-throughput RNA profiling via up-front sample parallelization

We describe a method called META RNA profiling (for “modular early-tagged amplification”) that can quantify a broad panel of microRNAs or mRNAs simultaneously across many samples – and requires far less sequence depth than existing digital profiling technologies. The method assigns quantitative tags...

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Detalles Bibliográficos
Autores principales: Narayan, Azeet, Bommakanti, Ananth, Patel, Abhijit A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451056/
https://www.ncbi.nlm.nih.gov/pubmed/25730493
http://dx.doi.org/10.1038/nmeth.3311
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author Narayan, Azeet
Bommakanti, Ananth
Patel, Abhijit A.
author_facet Narayan, Azeet
Bommakanti, Ananth
Patel, Abhijit A.
author_sort Narayan, Azeet
collection PubMed
description We describe a method called META RNA profiling (for “modular early-tagged amplification”) that can quantify a broad panel of microRNAs or mRNAs simultaneously across many samples – and requires far less sequence depth than existing digital profiling technologies. The method assigns quantitative tags during reverse-transcription to permit up-front sample pooling before competitive amplification and deep sequencing. This simple, scalable, and inexpensive approach brings large-scale gene expression studies within more practical reach.
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spelling pubmed-44510562015-10-01 High-throughput RNA profiling via up-front sample parallelization Narayan, Azeet Bommakanti, Ananth Patel, Abhijit A. Nat Methods Article We describe a method called META RNA profiling (for “modular early-tagged amplification”) that can quantify a broad panel of microRNAs or mRNAs simultaneously across many samples – and requires far less sequence depth than existing digital profiling technologies. The method assigns quantitative tags during reverse-transcription to permit up-front sample pooling before competitive amplification and deep sequencing. This simple, scalable, and inexpensive approach brings large-scale gene expression studies within more practical reach. 2015-03-02 2015-04 /pmc/articles/PMC4451056/ /pubmed/25730493 http://dx.doi.org/10.1038/nmeth.3311 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Narayan, Azeet
Bommakanti, Ananth
Patel, Abhijit A.
High-throughput RNA profiling via up-front sample parallelization
title High-throughput RNA profiling via up-front sample parallelization
title_full High-throughput RNA profiling via up-front sample parallelization
title_fullStr High-throughput RNA profiling via up-front sample parallelization
title_full_unstemmed High-throughput RNA profiling via up-front sample parallelization
title_short High-throughput RNA profiling via up-front sample parallelization
title_sort high-throughput rna profiling via up-front sample parallelization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451056/
https://www.ncbi.nlm.nih.gov/pubmed/25730493
http://dx.doi.org/10.1038/nmeth.3311
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