Literature DB >> 24927835

RNA sequencing: from sample preparation to analysis.

Sho Maekawa1, Ayako Suzuki, Sumio Sugano, Yutaka Suzuki.   

Abstract

The introduction of RNA sequencing (RNA-seq), as a direct result of rapid progression of next-generation sequencing technologies, has revolutionized the world of transcriptomics. It enables quantification of the complete set of RNA with all its isoforms in a given cell, in far greater accuracy than before. Here, we provide a step-by-step guide to the sample preparation in RNA-seq and an overview of the bioinformatic analysis that is required following the cDNA sequencing.

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Year:  2014        PMID: 24927835     DOI: 10.1007/978-1-4939-0805-9_6

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


  8 in total

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Authors:  Zezhang T Wen; Sumei Liao; Jacob P Bitoun; Arpan De; Ashton Jorgensen; Shihai Feng; Xiaoming Xu; Patrick S G Chain; Page W Caufield; Hyun Koo; Yihong Li
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4.  Identification of hub genes involved in the development of hepatocellular carcinoma by transcriptome sequencing.

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5.  Identification of potential novel differentially-expressed genes and their role in invasion and migration in renal cell carcinoma.

Authors:  Shen-Nan Shi; Xia Qin; Shuo Wang; Wen-Fu Wang; Yao-Feng Zhu; Yu Lin; Zun-Lin Zhou; Ben-Kang Shi; Xi-Gao Liu
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6.  Screening, identification and validation of CCND1 and PECAM1/CD31 for predicting prognosis in renal cell carcinoma patients.

Authors:  Jian-Feng Yang; Shen-Nan Shi; Wen-Hao Xu; Yun-Hua Qiu; Jin-Zhou Zheng; Kui Yu; Xiao-Yun Song; Feng Li; Yu Wang; Rui Wang; Yuan-Yuan Qu; Hai-Liang Zhang; Xi-Qiu Zhou
Journal:  Aging (Albany NY)       Date:  2019-12-18       Impact factor: 5.682

7.  miR-184-5p inhibits cell proliferation, invasion and predicts prognosis of clear cell renal cell carcinoma by targeting NUS1 dehydrodolichyl diphosphate synthase subunit: Results from large-scale comprehensive identification and validation.

Authors:  Wangrui Liu; Chunguang Ma; Hong Xu; Lijun Wang; Wenhao Xu; Hailiang Zhang; Zhisu Wang; Jun Li; Ji Zhang; Xigao Liu; Shuai Zhao; Tao Wang
Journal:  J Cancer       Date:  2022-02-21       Impact factor: 4.207

8.  Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinoma.

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Journal:  Biosci Rep       Date:  2019-02-22       Impact factor: 3.840

  8 in total

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