Cargando…
Decode-seq: a practical approach to improve differential gene expression analysis
Many differential gene expression analyses are conducted with an inadequate number of biological replicates. We describe an easy and effective RNA-seq approach using molecular barcoding to enable profiling of a large number of replicates simultaneously. This approach significantly improves the perfo...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087377/ https://www.ncbi.nlm.nih.gov/pubmed/32200760 http://dx.doi.org/10.1186/s13059-020-01966-9 |
_version_ | 1783509326213677056 |
---|---|
author | Li, Yingshu Yang, Hang Zhang, Hujun Liu, Yongjie Shang, Hanqiao Zhao, Herong Zhang, Ting Tu, Qiang |
author_facet | Li, Yingshu Yang, Hang Zhang, Hujun Liu, Yongjie Shang, Hanqiao Zhao, Herong Zhang, Ting Tu, Qiang |
author_sort | Li, Yingshu |
collection | PubMed |
description | Many differential gene expression analyses are conducted with an inadequate number of biological replicates. We describe an easy and effective RNA-seq approach using molecular barcoding to enable profiling of a large number of replicates simultaneously. This approach significantly improves the performance of differential gene expression analysis. Using this approach in medaka (Oryzias latipes), we discover novel genes with sexually dimorphic expression and genes necessary for germ cell development. Our results also demonstrate why the common practice of using only three replicates in differential gene expression analysis should be abandoned. |
format | Online Article Text |
id | pubmed-7087377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70873772020-03-24 Decode-seq: a practical approach to improve differential gene expression analysis Li, Yingshu Yang, Hang Zhang, Hujun Liu, Yongjie Shang, Hanqiao Zhao, Herong Zhang, Ting Tu, Qiang Genome Biol Short Report Many differential gene expression analyses are conducted with an inadequate number of biological replicates. We describe an easy and effective RNA-seq approach using molecular barcoding to enable profiling of a large number of replicates simultaneously. This approach significantly improves the performance of differential gene expression analysis. Using this approach in medaka (Oryzias latipes), we discover novel genes with sexually dimorphic expression and genes necessary for germ cell development. Our results also demonstrate why the common practice of using only three replicates in differential gene expression analysis should be abandoned. BioMed Central 2020-03-23 /pmc/articles/PMC7087377/ /pubmed/32200760 http://dx.doi.org/10.1186/s13059-020-01966-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Short Report Li, Yingshu Yang, Hang Zhang, Hujun Liu, Yongjie Shang, Hanqiao Zhao, Herong Zhang, Ting Tu, Qiang Decode-seq: a practical approach to improve differential gene expression analysis |
title | Decode-seq: a practical approach to improve differential gene expression analysis |
title_full | Decode-seq: a practical approach to improve differential gene expression analysis |
title_fullStr | Decode-seq: a practical approach to improve differential gene expression analysis |
title_full_unstemmed | Decode-seq: a practical approach to improve differential gene expression analysis |
title_short | Decode-seq: a practical approach to improve differential gene expression analysis |
title_sort | decode-seq: a practical approach to improve differential gene expression analysis |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087377/ https://www.ncbi.nlm.nih.gov/pubmed/32200760 http://dx.doi.org/10.1186/s13059-020-01966-9 |
work_keys_str_mv | AT liyingshu decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis AT yanghang decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis AT zhanghujun decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis AT liuyongjie decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis AT shanghanqiao decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis AT zhaoherong decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis AT zhangting decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis AT tuqiang decodeseqapracticalapproachtoimprovedifferentialgeneexpressionanalysis |