Construction of the World's Largest '3D Cancer Genome Map'

New Strategy for Decoding Large-Scale Cancer Genome Structural Variations
Providing Insights into Cancer Onset Mechanisms and Anticancer Drug Development

Identification of Gene Regulatory Functions through Decoding the 3D Cancer Genome Map

[Asia Economy Reporter Junho Hwang] The world's largest three-dimensional (3D) cancer genome map database has been established. Professor Inkyung Jung's research team from the Department of Life Sciences at the Korea Advanced Institute of Science and Technology (KAIST), in collaboration with Dr. Byungwook Lee's team at the National Center for Life Research Resources Information, Korea Research Institute of Bioscience and Biotechnology (KRIBB), created and publicly released the 3D cancer genome map database on the 28th.

To decode various structural variations occurring in cancer genomes, the research team collected all publicly available 3D cancer genome maps to date and developed new tools for studying them. As a result, they constructed information on over 400 3D human genome maps. These include 3D genome maps not only from 18 different cancer types but also from normal cells or tissues used as comparative controls.

In particular, they developed new analytical tools for decoding these 3D cancer genome maps for the first time worldwide. These tools include an analysis tool to explore the effects of known structural variations, a tool to generate arbitrary structural variations and predict their functions in advance, and a tool to create recombined 3D cancer genome maps from cancer genomes containing complex structural variations. The research team stated that these tools enable prediction of how alterations in the 3D cancer genome maps are involved in gene regulation.

Co-corresponding author Dr. Byungwook Lee said, "Recent findings reveal that changes in the 3D genome structure within cells cause various diseases, especially cancer. Through this study, we have developed tools to study this for the first time worldwide," adding, "Utilizing the results of this research is expected to provide important information for understanding the mechanisms of cancer development and further for anticancer drug development."

Professor Inkyung Jung said, "We demonstrated that the functions of large-scale structural variations frequently occurring in cancer can be precisely identified through decoding the 3D genome structure," and added, "This research result will serve as a stepping stone to further advance technologies for precisely decoding cancer genomes, which have not yet been fully deciphered."

Recombinant Large-Scale Complex Structural Variations Based on 3D Cancer Genome Map

This content was produced with the assistance of AI translation services.