Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cell Lines

Cell Lines

A cell line is a population of cells grown in vitro that can be subcultured over several generations. Normal cells cease to divide after a certain number of cell divisions, a process known as replicative senescence. This number, called the Hayflick limit, was conceptualized by Leonard Hayflick in 1961 when he observed that fetal cells grown in culture could only divide 40-60 times. This limit is due to the shortening of the telomeres during each round of cell division, preventing cell division...

You might also read

Related Articles

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

Sort by

Same author

Glycoengineered Recombinant Alpha1-Antitrypsin Results in Comparable In Vitro and In Vivo Activities to Human Plasma-Derived Protein.

Biotechnology and bioengineering·2026

Same author

Human Genome-Scale Models of Metabolism and Gene Expression Reveal Resource Constraints of Cancer Cell Lines.

bioRxiv : the preprint server for biology·2026

Same author

Systematic Mapping of Protein Interactions Underlying IL-2 Secretion in Human T Cells.

Analytical chemistry·2026

Same author

LeGenD: High-throughput N-glycan profiling using explainable AI and lectin profiling.

The Journal of biological chemistry·2026

Same author

Delineating the Transcriptional and Phenotypic Impact from Biotherapeutic Glycoengineering.

bioRxiv : the preprint server for biology·2026

Same author

Population-level analysis of glycoprotein glycoforms.

mAbs·2026

Search research articles

Related Experiment Video

Updated: Nov 24, 2025

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Published on: August 8, 2019

CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines.

Dongdong Lin¹, Hima B Yalamanchili¹, Xinmin Zhang²

¹Biogen Inc., Cambridge, Massachusetts, United States of America.

Plos Computational Biology

|December 22, 2020

Summary

This summary is machine-generated.

CHOmics is a new web tool that helps researchers analyze and manage omics data from Chinese hamster ovary (CHO) cells. This platform simplifies complex data, aiding in the optimization of biopharmaceutical production.

More Related Videos

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

Related Experiment Videos

Last Updated: Nov 24, 2025

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Published on: August 8, 2019

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

Area of Science:

Biotechnology
Cell Biology
Bioinformatics

Background:

Chinese hamster ovary (CHO) cell lines are critical for biopharmaceutical production.
Understanding factors influencing CHO cell growth, productivity, and product quality is essential for process optimization.
High-throughput omics data offer insights but pose analysis and management challenges.

Purpose of the Study:

To develop an integrated, web-based tool named CHOmics for analyzing and managing omics data from CHO cell lines.
To provide interactive visualization of omics analysis results and streamline data management.
To facilitate multi-omics comparisons and visualization at gene and pathway levels.

Main Methods:

Development of a web-based platform, CHOmics.
Integration of a comprehensive pipeline for RNA sequencing data processing.
Implementation of multi-layer statistical modules for gene and pathway exploration.
Inclusion of advanced functionalities for customized analysis and interactive visualization.
Design for flexibility to accommodate diverse omics data types for multi-omics analysis.

Main Results:

CHOmics provides a user-friendly interface for integrative omics data analysis and management.
The tool offers interactive visualization of omics analysis outputs, including gene and pathway level data.
It supports customized analysis and accommodates various omics data types for comprehensive comparisons.
A built-in pipeline for RNA sequencing data processing is included.

Conclusions:

CHOmics serves as an integrative platform for analyzing, visualizing, and managing CHO cell line omics data.
The tool is expected to enhance the utilization of omics approaches in CHO cell research and bioprocess development.
It addresses the challenge of comprehensive omics data analysis, promoting efficient biopharmaceutical production optimization.