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A Comparison of Low Read Depth QuantSeq 3' Sequencing to Total RNA-Seq in FUS Mutant Mice.
Jarvis, Seth; Birsa, Nicol; Secrier, Maria; Fratta, Pietro; Plagnol, Vincent.
Afiliación
  • Jarvis S; UCL Queen Square Institute of Neurology, London, United Kingdom.
  • Birsa N; UCL Genetics Institute, London, United Kingdom.
  • Secrier M; UCL Queen Square Institute of Neurology, London, United Kingdom.
  • Fratta P; UK Dementia Research Institute, University College London, London, United Kingdom.
  • Plagnol V; UCL Genetics Institute, London, United Kingdom.
Front Genet ; 11: 562445, 2020.
Article en En | MEDLINE | ID: mdl-33329699
ABSTRACT
Transcriptomics is a developing field with new methods of analysis being produced which may hold advantages in price, accuracy, or information output. QuantSeq is a form of 3' sequencing produced by Lexogen which aims to obtain similar gene-expression information to RNA-seq with significantly fewer reads, and therefore at a lower cost. QuantSeq is also able to provide information on differential polyadenylation. We applied both QuantSeq at low read depth and total RNA-seq to the same two sets of mouse spinal cord RNAs, each comprised by four controls and four mutants related to the neurodegenerative disease amyotrophic lateral sclerosis. We found substantial differences in which genes were found to be significantly differentially expressed by the two methods. Some of this difference likely due to the difference in number of reads between our QuantSeq and RNA-seq data. Other sources of difference can be explained by the differences in the way the two methods handle genes with different primary transcript lengths and how likely each method is to find a gene to be differentially expressed at different levels of overall gene expression. This work highlights how different methods aiming to assess expression difference can lead to different results.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido