Article ; Online: RNA-seq library preparation for comprehensive transcriptome analysis in cancer cells: The impact of insert size.
2021 Volume 113, Issue 6, Page(s) 4149–4162
Abstract: With long reads and high coverage, RNA-seq enables comprehensive transcriptome analysis of cancer cells, provided that optimal length of libraries (and their inserts) is assured, to avoid overlap of paired reads and consequent loss of sequencing data. We ...
Abstract | With long reads and high coverage, RNA-seq enables comprehensive transcriptome analysis of cancer cells, provided that optimal length of libraries (and their inserts) is assured, to avoid overlap of paired reads and consequent loss of sequencing data. We assessed TruSeq Stranded library preparation protocols (poly(A) enrichment-PA and rRNA depletion-RD) for the thoroughness of transcriptome analysis of a heterogeneous cancer, acute lymphoblastic leukemia. We applied 2x150PE sequencing, >150 M reads/sample on Illumina NovaSeq6000. We show that PA outperforms RD for the analysis of gene expression and structural aberrations. RD is more suitable for detection of various classes of RNAs, mutations or polymorphisms. We demonstrate that reduced RNA fragmentation time (generating longer inserts) positively affects detection of structural RNA changes, without introducing bias into gene expression analysis. We recommend this modification for all RNA-seq studies utilizing reads longer than 75 nt, aimed to go beyond gene expression analysis and to detect also structural changes. |
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MeSH term(s) | Gene Expression Profiling/methods ; Gene Library ; High-Throughput Nucleotide Sequencing/methods ; Neoplasms/genetics ; RNA, Messenger/metabolism ; RNA-Seq ; Sequence Analysis, RNA/methods ; Transcriptome |
Chemical Substances | RNA, Messenger |
Language | English |
Publishing date | 2021-11-03 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 356334-0 |
ISSN | 1089-8646 ; 0888-7543 |
ISSN (online) | 1089-8646 |
ISSN | 0888-7543 |
DOI | 10.1016/j.ygeno.2021.10.018 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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