Epigenetic Tracking: a Model for Multicellular Biology

TL;DR

Epigenetic Tracking is a comprehensive mathematical model simulating multicellular development, explaining various biological phenomena including stem cell roles, aging, and cancer, and making predictions across biological fields.

Contribution

The paper introduces a novel mathematical model that unifies diverse biological phenomena through the concept of stem cells and developmental processes.

Findings

Model generates complex 3D cellular structures

Predicts roles of different stem cell types in development and disease

Suggests new insights into transposable elements and cancer mutations

Abstract

Epigenetic Tracking is a mathematical model of biological cells, originally conceived to study embryonic development. Computer simulations proved the capacity of the model to generate complex 3-dimensional cellular structures, and the potential to reproduce the complexity typical of living beings. The most distinctive feature of this model is the presence in the body of a homogeneous distribution of stem cells, which are dinamically and continuously created during development from non-stem cells and reside in niches. Embryonic stem cells orchestrate early developmental events, adult stem cells direct late developmental and regeneration events, ageing stem cells cause ageing and cancer stem cells are responsible for cancer growth. The conceptual backbone provided by Epigenetic Tracking brings together a wide range of biological phenomena: for this reason, we think it can be proposed as a general model for multicellular biology. Despite, or perhaps due to its theoretical origin, the model allowed us to make predictions relevant to very diverse fields of biology, such as transposable elements, and cancer-related patterns of gene mutations. This paper contains a summary of the model and its implications.