Literature DB >> 20688152

A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing.

Peng Cui1, Qiang Lin, Feng Ding, Chengqi Xin, Wei Gong, Lingfang Zhang, Jianing Geng, Bing Zhang, Xiaomin Yu, Jin Yang, Songnian Hu, Jun Yu.   

Abstract

To compare the two RNA-sequencing protocols, ribo-minus RNA-sequencing (rmRNA-seq) and polyA-selected RNA-sequencing (mRNA-seq), we acquired transcriptomic data-52 and 32 million alignable reads of 35 bases in length-from the mouse cerebrum, respectively. We found that a higher proportion, 44% and 25%, of the uniquely alignable rmRNA-seq reads, is in intergenic and intronic regions, respectively, as compared to 23% and 15% from the mRNA-seq dataset. Further analysis made an additional discovery of transcripts of protein-coding genes (such as Histone, Heg1, and Dux), ncRNAs, snoRNAs, snRNAs, and novel ncRNAs as well as repeat elements in rmRNA-seq dataset. This result suggests that rmRNA-seq method should detect more polyA- or bimorphic transcripts. Finally, through comparative analyses of gene expression profiles among multiple datasets, we demonstrated that different RNA sample preparations may result in significant variations in gene expression profiles.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20688152     DOI: 10.1016/j.ygeno.2010.07.010

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  77 in total

1.  TARDIS, a targeted RNA directional sequencing method for rare RNA discovery.

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Journal:  Nat Protoc       Date:  2015-10-29       Impact factor: 13.491

2.  Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study.

Authors:  Sheng Li; Scott W Tighe; Charles M Nicolet; Deborah Grove; Shawn Levy; William Farmerie; Agnes Viale; Chris Wright; Peter A Schweitzer; Yuan Gao; Dewey Kim; Joe Boland; Belynda Hicks; Ryan Kim; Sagar Chhangawala; Nadereh Jafari; Nalini Raghavachari; Jorge Gandara; Natàlia Garcia-Reyero; Cynthia Hendrickson; David Roberson; Jeffrey Rosenfeld; Todd Smith; Jason G Underwood; May Wang; Paul Zumbo; Don A Baldwin; George S Grills; Christopher E Mason
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

3.  Transcriptome sequencing implicates dorsal striatum-specific gene network, immune response and energy metabolism pathways in bipolar disorder.

Authors:  R Pacifico; R L Davis
Journal:  Mol Psychiatry       Date:  2016-06-28       Impact factor: 15.992

Review 4.  Non-coding RNA networks underlying cognitive disorders across the lifespan.

Authors:  Irfan A Qureshi; Mark F Mehler
Journal:  Trends Mol Med       Date:  2011-03-15       Impact factor: 11.951

5.  Analysis of intronic and exonic reads in RNA-seq data characterizes transcriptional and post-transcriptional regulation.

Authors:  Dimos Gaidatzis; Lukas Burger; Maria Florescu; Michael B Stadler
Journal:  Nat Biotechnol       Date:  2015-06-22       Impact factor: 54.908

Review 6.  Discovering and Mapping the Modified Nucleotides That Comprise the Epitranscriptome of mRNA.

Authors:  Bastian Linder; Samie R Jaffrey
Journal:  Cold Spring Harb Perspect Biol       Date:  2019-06-03       Impact factor: 10.005

7.  Comparison of library construction kits for mRNA sequencing in the Illumina platform.

Authors:  Yong-Soo Park; Songmi Kim; Dong-Guk Park; Dong Hee Kim; Kyeong-Wook Yoon; Wonseok Shin; Kyudong Han
Journal:  Genes Genomics       Date:  2019-07-26       Impact factor: 1.839

8.  Gender-Specific Effects of Selection for Drinking in the Dark on the Network Roles of Coding and Noncoding RNAs.

Authors:  Ovidiu Dan Iancu; Alex M Colville; Beth Wilmot; Robert Searles; Priscila Darakjian; Christina Zheng; Shannon McWeeney; Sunita Kawane; John C Crabbe; Pamela Metten; Denesa Oberbeck; Robert Hitzemann
Journal:  Alcohol Clin Exp Res       Date:  2018-06-22       Impact factor: 3.455

Review 9.  Non-coding RNAs: the new central dogma of cancer biology.

Authors:  Phei Er Saw; Xiaoding Xu; Jianing Chen; Er-Wei Song
Journal:  Sci China Life Sci       Date:  2020-09-11       Impact factor: 6.038

10.  INTACT vs. FANS for Cell-Type-Specific Nuclei Sorting: A Comprehensive Qualitative and Quantitative Comparison.

Authors:  Monika Chanu Chongtham; Tamer Butto; Kanak Mungikar; Susanne Gerber; Jennifer Winter
Journal:  Int J Mol Sci       Date:  2021-05-19       Impact factor: 5.923

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