Related Experiment Video
Updated: May 16, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Deep sequencing in cancer research
Kenichi Yoshida1, Masashi Sanada, Seishi Ogawa
1Cancer Genomics Project, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. sogawa-tky@umin.ac.jp
Abstract:
Cancer is caused by alterations in the cellular genome including single-nucleotide variations, small insertions and deletions (indels), copy number changes and other structural variations and, as such, their detection in a comprehensive manner is of critical importance for fully understanding cancer pathogenesis, improvement of diagnosis as well as the development of novel therapeutics. In this point of views, the recent development of massively parallel (or 'next-generation') sequencing technologies has provided an unprecedented possibility to accomplish this need by enabling single-nucleotide resolution analysis of the entire genome of cancer cells as well as more targeted analysis of coding sequencing or transcriptomes. Through international co-operations, a wide variety of cancer cell types have now been analyzed using these technologies to help unmask their pathogenesis. In this review, we briefly overview the recent advances in cancer research obtained through the massive effort of sequencing cancer genomes.
Related Concept Videos
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Sanger Sequencing
Maxam-Gilbert Sequencing
Challenges of the Maxam-Gilbert Method
The...

