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

Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

6.0K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
6.0K

You might also read

Related Articles

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

Sort by
Same author

Active learning-guided mechanistic modeling reveals context-specific regulators of CXCL9 expression in pancreatic cancer cells.

Molecular systems biology·2026
Same author

Recovery of phenotypically sorted cells using droplet-digital microfluidics.

Lab on a chip·2025
Same author

Mathematically mapping the network of cells in the tumor microenvironment.

Cell reports methods·2025
Same author

Targeted barcoding of variable antibody domains and individual transcriptomes of the human B-cell repertoire using Link-Seq.

PNAS nexus·2025
Same author

Integrating histopathology and transcriptomics for spatial tumor microenvironment profiling in a melanoma case study.

NPJ precision oncology·2024
Same author

Fluorescence-activated droplet sequencing (FAD-seq) directly provides sequences of screening hits in antibody discovery.

Proceedings of the National Academy of Sciences of the United States of America·2024

Related Experiment Video

Updated: Sep 23, 2025

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research
09:12

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

Published on: June 10, 2025

460

Technological and computational advances driving high-throughput oncology.

Leonie Kolmar1, Alexis Autour2, Xiaoli Ma1

  • 1Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Trends in Cell Biology
|May 16, 2022
PubMed
Summary
This summary is machine-generated.

Engineering and computational advances are revolutionizing cancer research. New technologies enable detailed single-cell analysis and large-scale data generation for a data-driven approach to cancer studies.

Keywords:
computational toolsmicrofluidicspersonalized oncologysequencingsingle-cell multi-omics

More Related Videos

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

11.9K
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

19.5K

Related Experiment Videos

Last Updated: Sep 23, 2025

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research
09:12

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

Published on: June 10, 2025

460
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

11.9K
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

19.5K

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Cancer Research

Background:

  • Interdisciplinary approaches integrating engineering and computation are transforming cancer research.
  • Technological advancements are crucial for understanding complex cancer biology.

Purpose of the Study:

  • To review key technological and computational developments in cancer research.
  • To highlight the transition towards data-driven, high-throughput cancer studies.

Main Methods:

  • Review of engineering and computational advances.
  • Analysis of technologies enabling single-cell assays.
  • Examination of methods for generating large datasets in cancer 'omics', interaction screens, and 3D models.

Main Results:

  • Microfluidics, sequencing, and computational analysis enable detailed single-cell assays and tumor heterogeneity insights.
  • These technologies facilitate multidimensional cancer 'omics', cell-cell interaction screens, and 3D tumor models.
  • Engineering and computational tools are driving a shift towards high-throughput, high-content cancer research.

Conclusions:

  • Technological and computational progress is essential for advancing cancer research.
  • The integration of these disciplines is paving the way for a new era of data-driven cancer discovery.
  • Future cancer research will increasingly rely on these high-throughput, high-content methodologies across all biological scales.