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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...

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The CellML 1.1 Specification.

Autumn Cuellar, Warren Hedley, Melanie Nelson

Journal of Integrative Bioinformatics

|November 4, 2015

Summary

This summary is machine-generated.

CellML 1.1 is an XML-based language for creating and sharing computational models of biological processes. It uses MathML for mathematical definitions and allows for modular model construction and metadata integration.

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Area of Science:

Computational biology
Systems biology
Biophysics

Background:

Standardized description of cellular and subcellular processes is crucial for reproducible research.
Existing modeling approaches lack a unified language for mathematical and structural representation.
Interoperability between different modeling tools and platforms remains a challenge.

Framework:

CellML 1.1 provides an XML-based syntax for defining biological models.
It integrates MathML for precise mathematical formulation of model dynamics.
Models are structured as networks of reusable components with variables and equations.

Implementation:

CellML 1.1 facilitates the exchange of complex biological models between researchers and software.
The language supports hierarchical model composition through importing and referencing.
Metadata can be embedded using the Resource Description Framework (RDF) for enhanced discoverability and context.

Implications:

Enables the development of sophisticated, multi-scale models of biological systems.
Promotes data sharing and collaboration in computational biology.
Facilitates model validation, verification, and reuse, accelerating scientific discovery.