Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Polyclonal evolution of lymphoproliferative disorders in XLP1.

Journal of human immunity·2026
Same author

Penile involvement associated with renal pelvic squamous cell carcinoma: a case report and mechanistic considerations.

Frontiers in oncology·2026
Same author

BCL11B enhancer hijacking by t(14;16)(q32;q24) translocation defines a novel high-risk subtype of T-ALL.

Blood·2026
Same author

Functional impact of a deep intronic variant in the RPS19 gene detected in a case of Diamond-Blackfan anemia syndrome.

Haematologica·2026
Same author

Biological Features of KLC2 Mutations in Chronic Myeloid Leukemia and Their Contribution to Inducing Drug Resistance.

Oncology research·2026
Same author

Genotype-Phenotype Correlations of Li-Fraumeni Syndrome in Japan Children's Cancer Group LFS20 Study Cohort.

Cancer science·2025

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
13:24

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

Japanese Journal of Clinical Oncology
|December 11, 2012
PubMed
Summary

Next-generation sequencing technologies enable comprehensive cancer genome analysis, revealing critical genetic alterations for improved diagnosis and targeted therapies. This approach is vital for understanding cancer pathogenesis and developing new treatments.

More Related Videos

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Related Experiment Videos

Last Updated: May 16, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

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

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Cancer arises from genomic alterations like single-nucleotide variations, indels, and structural variations.
  • Comprehensive detection of these alterations is crucial for understanding cancer pathogenesis, diagnosis, and therapeutics.
  • Massively parallel sequencing technologies offer unprecedented capabilities for cancer genome analysis.

Purpose of the Study:

  • To review recent advances in cancer research driven by large-scale cancer genome sequencing.
  • To highlight the role of next-generation sequencing in analyzing cancer genomes at single-nucleotide resolution.
  • To discuss the impact of sequencing efforts on understanding cancer pathogenesis.

Main Methods:

  • Utilizing massively parallel sequencing (next-generation sequencing) technologies.
  • Analyzing whole cancer genomes and targeted regions (coding sequences, transcriptomes).
  • Leveraging international collaborations for diverse cancer type analysis.

Main Results:

  • Enabled single-nucleotide resolution analysis of cancer genomes.
  • Facilitated comprehensive detection of various genomic alterations (SNVs, indels, CNVs, structural variations).
  • Advanced the understanding of cancer pathogenesis across multiple cancer types.

Conclusions:

  • Next-generation sequencing is a powerful tool for comprehensive cancer genome analysis.
  • Sequencing efforts have significantly advanced cancer research, diagnosis, and therapeutic development.
  • International cooperation in cancer genome sequencing accelerates discovery.