The tissue definition biological tool is designed to help clinicians determine how a specific tissue is defined in an organism’s genome.
It has been used in previous publications to define specific traits, such as a tumor’s size and location.
Now, scientists at the University of California, Davis, have developed an application that can also be used to define a trait or process in tissue.
The new tool, called a Tissue Definition Biological Model (TDBM), identifies a specific set of genes that have been expressed in a tissue and allows scientists to infer a gene’s function from its expression in the tissue.
Using this information, researchers can determine whether the gene has been activated or inhibited by a specific drug, says senior author Mark D’Angelo, professor of molecular and cellular biology at UC Davis.
This model is not intended to be used as a diagnostic tool, says D’angelo, who was not involved in the study.
“This is about identifying genes that may be affected by a disease or process,” he says.
“We want to know what genes are involved in how a tissue processes.”
To understand how a particular gene might be involved in a specific process, D’Angelos and his team looked at the expression of genes involved in several processes.
They found that there are several genes involved with the process of making tissue.
For example, one gene, called HpB2, has been linked to a protein that is involved in tissue repair.
Another gene, CpG4, has also been associated with tissue healing.
The team used the TDM to search for genes that were expressed in the cells that make tissue, and identified five genes.
These genes are known to regulate cell growth and division.
The researchers then looked at a tissue sample from a patient and measured how much the cell’s size, the thickness of its cell wall, and its volume were different in response to different drugs or treatments.
The scientists found that HpF1, CpuRp, HpRb1, HrpA, and HpSb2 were the genes most strongly associated with the tissue process.
The study appears in the journal Science Translational Medicine.
D’Agostino says the work shows that the TDSB has the potential to be a useful tool to identify genes that are active in tissue healing and other processes.
The tool can be used in many different ways, D.G. says.
The TDSM can be incorporated into a gene expression assay, where it is measured using a gene-specific assay to determine whether a gene is expressed in tissue and to determine how the gene responds to different treatments.
This is particularly important for gene-based diseases, where genes are expressed in different tissues in different cell types.
The research team hopes to develop a model to use this model to predict gene expression in other tissue types.
D.M.D. will present the research at the annual meeting of the American Association for the Advancement of Science in San Diego on May 15.
The authors have disclosed no relevant financial relationships.