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2020 | OriginalPaper | Chapter

Application of High-Throughput Sequencing Data Mining in Comparison of Gene Expression Profile in Renal Cell Carcinoma and Normal Renal Cell by RNA-Seq

Authors : Yunhai Yu, Hongmei Xu, Shaoning Guo, Na Wang

Published in: Innovative Computing

Publisher: Springer Singapore

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Abstract

Because of the advantages of RNA sequencing technology, this study selected SOLID technology as the transcriptome research method for clear cell renal cell carcinoma. The transcriptome sequencing of clear cell renal cell carcinoma and normal kidney tissues was performed by SOLID technology. Through analysis of the abundance and function of gene expression, the gene expression profile of these two tissues was established. After further comparative analysis, the characteristics and differences of gene expression profiles between clear cell renal cell carcinoma tissues and normal kidney tissues were studied. In this study, the expression of metabolic process-related genes was found to be downregulated through comparative analysis of gene function clustering, metabolic pathway reconstruction and differential genes. The results would provide some basic information for the diagnosis and treatment of ccRCC.

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Metadata
Title
Application of High-Throughput Sequencing Data Mining in Comparison of Gene Expression Profile in Renal Cell Carcinoma and Normal Renal Cell by RNA-Seq
Authors
Yunhai Yu
Hongmei Xu
Shaoning Guo
Na Wang
Copyright Year
2020
Publisher
Springer Singapore
Book
Innovative Computing

Print ISBN: 978-981-15-5958-7

Electronic ISBN: 978-981-15-5959-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-5959-4_45

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