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

93.1K
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....
93.1K
RNA-seq03:21

RNA-seq

10.5K
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...
10.5K
Sanger Sequencing01:57

Sanger Sequencing

759.5K
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...
759.5K

You might also read

Related Articles

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

Sort by
Same author

Caregiver satisfaction with early integrated palliative care in oncology: secondary outcomes from the PALLiON cluster-RCT.

Frontiers in oncology·2026
Same author

Gastroenteropancreatic Neuroendocrine Carcinoma (GEP-NEC): An Aggressive Disease Course and Limitations for Personalized Oncology.

Oncology and therapy·2026
Same author

International Multidisciplinary Consensus Report on Definitions, Diagnostic Criteria, and Management of Fatty Pancreas: A Joint Statement Endorsed by EPC, APA, EASD, EASL, ESGAR, ESGE, ESP, ESPCG, ESPEN, ESPGHAN, IAP, JPS, KPBA, LAPSG, and UEG.

United European gastroenterology journal·2026
Same author

ASO Visual Abstract: Combined Impact of Neoadjuvant Therapy and Preoperative Cachexia on Patients Undergoing Pancreatoduodenectomy: Is There a "Double Jeopardy"? A National Cohort Study Investigating the Association with Short- and Long-Term Outcomes.

Annals of surgical oncology·2026
Same author

Monitoring cancer-related fatigue and quality of life in breast and prostate cancer patients after primary treatment: a study protocol for the REBECCA trials in Norway.

Clinical and experimental medicine·2026
Same author

Relapse of Acute Myeloid Leukemia With Concomitant Systemic Mastocytosis Five Years Post Allogenic Hematopoietic Stem Cell Transplantation.

Case reports in hematology·2026

Related Experiment Video

Updated: Sep 27, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.2K

Novel hybridization- and tag-based error-corrected method for sensitive ctDNA mutation detection using ion

Kjersti Tjensvoll1, Morten Lapin2, Bjørnar Gilje2

  • 1Department of Hematology and Oncology, Laboratory for Molecular Biology, Stavanger University Hospital, 4068, Stavanger, Norway. kjersti.tjensvoll@sus.no.

Scientific Reports
|April 7, 2022
PubMed
Summary
This summary is machine-generated.

We developed HYTEC-seq, a sensitive method for detecting circulating tumor DNA (ctDNA) for cancer diagnostics. This new technique accurately identifies low-frequency mutations in patient plasma samples.

More Related Videos

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
11:11

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Published on: August 24, 2017

17.0K
Author Spotlight: Genetic Profiling for Fluorouracil Response in Gastric Cancer
06:21

Author Spotlight: Genetic Profiling for Fluorouracil Response in Gastric Cancer

Published on: May 10, 2024

875

Related Experiment Videos

Last Updated: Sep 27, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.2K
Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
11:11

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Published on: August 24, 2017

17.0K
Author Spotlight: Genetic Profiling for Fluorouracil Response in Gastric Cancer
06:21

Author Spotlight: Genetic Profiling for Fluorouracil Response in Gastric Cancer

Published on: May 10, 2024

875

Area of Science:

  • Molecular Biology
  • Genomics
  • Cancer Research

Background:

  • Circulating tumor DNA (ctDNA) analysis is crucial for cancer diagnostics and treatment monitoring.
  • Low DNA concentrations and technical challenges hinder accurate ctDNA detection.
  • Sensitive and specific methods are needed to overcome these limitations.

Purpose of the Study:

  • To develop and validate a novel, highly sensitive method for ctDNA detection.
  • To improve the accuracy of identifying low-frequency mutations in ctDNA.
  • To demonstrate the clinical utility of the developed method in cancer patients.

Main Methods:

  • Developed HYbridization- and Tag-based Error-Corrected sequencing (HYTEC-seq) for ctDNA analysis.
  • Integrated hybridization-based capture with molecular tags to reduce background errors.
  • Utilized a novel variant caller, PlasmaMutationDetector2, for enhanced mutation detection.
  • Validated HYTEC-seq on the Ion Torrent sequencing platform.

Main Results:

  • HYTEC-seq demonstrated analytical sensitivity down to 0.1% with >99.99% specificity using control samples.
  • The method successfully detected mutations in 57% of advanced pancreatic cancer patients.
  • Detected mutations at allele frequencies as low as 0.23% in clinical samples.

Conclusions:

  • HYTEC-seq offers a sensitive and specific approach for ctDNA detection.
  • The method shows significant potential for improving cancer diagnostics and monitoring.
  • HYTEC-seq is a valuable tool for analyzing low-frequency mutations in clinical settings.