Literature DB >> 30779040

RNA Sequencing in B-Cell Lymphomas.

Da Wei Huang1, Moez Dawood1,2, Calvin A Johnson3, Roland Schmitz4.   

Abstract

High-throughput mRNA sequencing (RNA-Seq) provides both qualitative and quantitative evaluation of the transcriptome. This method uses complementary DNA (cDNA) to generate several millions of short sequence reads that are aligned to a reference genome allowing the comprehensive characterization of the transcripts in a cell. RNA-Seq has a wide variety of applications which lead to a pervasive adoption of this method well beyond the genomics community and a deployment of this technique as a standard part of the toolkit applied in life sciences. This chapter describes a protocol to perform mRNA sequencing using the Illumina NextSeq or MiSeq platforms, presents sequencing data quality metrics, and outlines a bioinformatic pipeline for sequence alignment, digital gene expression, identification of gene fusions, detection of transcript isoforms, description and annotation of genetic variants, and de novo immunoglobulin gene assembly.

Entities:  

Keywords:  B cell; B-cell lymphoma; Gene expression; High-throughput sequencing; Immunoglobulin genes; Mutation; RNA-Seq; Transcriptome; VDJ

Mesh:

Substances:

Year:  2019        PMID: 30779040     DOI: 10.1007/978-1-4939-9151-8_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Single-Cell RNA Sequencing Analysis for Oncogenic Mechanisms Underlying Oral Squamous Cell Carcinoma Carcinogenesis with Candida albicans Infection.

Authors:  Yi-Ping Hsieh; Yu-Hsueh Wu; Siao-Muk Cheng; Fang-Kuei Lin; Daw-Yang Hwang; Shih-Sheng Jiang; Ken-Chung Chen; Meng-Yen Chen; Wei-Fan Chiang; Ko-Jiunn Liu; Nam Cong-Nhat Huynh; Wen-Tsung Huang; Tze-Ta Huang
Journal:  Int J Mol Sci       Date:  2022-04-27       Impact factor: 6.208

2.  Single-Cell Analysis of Different Stages of Oral Cancer Carcinogenesis in a Mouse Model.

Authors:  Ling-Yu Huang; Yi-Ping Hsieh; Yen-Yun Wang; Daw-Yang Hwang; Shih Sheng Jiang; Wen-Tsung Huang; Wei-Fan Chiang; Ko-Jiunn Liu; Tze-Ta Huang
Journal:  Int J Mol Sci       Date:  2020-10-31       Impact factor: 5.923

  2 in total

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