Tissue development ‘roadmap’ created to guide stem cell medicine

In a boon to stem cell research and regenerative medicine, scientists at Boston Children's Hospital, the Wyss Institute for Biologically Inspired Engineering at Harvard University and Boston University have created a computer algorithm called CellNet as a "roadmap" for cell and tissue engineering, to ensure that cells engineered in the lab have the same favorable properties as cells in our own bodies. CellNet and its application to stem cell engineering are described in two back-to-back papers in the August 14 issue of the journal Cell.

Scientists around the world are engaged in culturing pluripotent stem cells (capable of forming all the body's tissues) and transforming them into specialized cell types for use in research and regenerative medicine. Available as an Internet resource for any scientist to use, CellNet provides a much needed "quality assurance" measure for this work.

The two papers also clarify uncertainty around which methods are best for stem cell engineering, and should advance the use of cells derived from patient tissues to model disease, test potential drugs and use as treatments. For example, using CellNet, one of the studies unexpectedly found that skin cells can be converted into intestinal cells that were able to reverse colitis in a mouse model.

"To date, there has been no systematic means of assessing the fidelity of cellular engineering -- to determine how closely cells made in a petri dish approximate natural tissues in the body," says George Q. Daley, MD, PhD, Director of the Stem Cell Transplantation Program at Boston Children's and senior investigator on both studies. "CellNet was developed to assess the quality of engineered cells and to identify ways to improve their performance."

Gene Signatures

CellNet applies network biology to discover the complex network of genes that are turned on or off in an engineered cell, known as the cell's Gene Regulatory Network or GRN. It then compares that network to the cell's real-life counterpart in the body, as determined from public genome databases. Through this comparison, researchers can rigorously and reliably assess:

"CellNet will also be a powerful tool to advance synthetic biology -- to engineer cells for specific medical applications," says James Collins, PhD, Core Faculty member at the Wyss Institute and the William F. Warren Distinguished Professor at Boston University, co-senior investigator on one of the studies.

Putting CellNet to the Test

The researchers -- including co-first authors Patrick Cahan, PhD and Samantha Morris, PhD, of Boston Children's, and Hu Li, PhD, of the Mayo Clinic, first used CellNet to assess the quality of eight kinds of cells created in 56 published studies.

In a second study, they applied CellNet's teachings to a recurring question in stem cell biology: Is it feasible to directly convert one specialized cell type to another, bypassing the laborious process of first creating an iPS cell? This study looked at two kinds of directly converted cells: liver cells made from skin cells, and macrophages made from B cells.

Read the rest here:
Tissue development 'roadmap' created to guide stem cell medicine