LBME, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, 118, route de Narbonne, Toulouse, 31062, France.
Laboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, Zwirki i Wigury 93, Warsaw, 02-089, Poland.
Genome Biol. 2018 Mar 15;19(1):34. doi: 10.1186/s13059-018-1411-7.
Double-strand breaks (DSBs) result from the attack of both DNA strands by multiple sources, including radiation and chemicals. DSBs can cause the abnormal chromosomal rearrangements associated with cancer. Recent techniques allow the genome-wide mapping of DSBs at high resolution, enabling the comprehensive study of their origins. However, these techniques are costly and challenging. Hence, we devise a computational approach to predict DSBs using the epigenomic and chromatin context, for which public data are readily available from the ENCODE project. We achieve excellent prediction accuracy at high resolution. We identify chromatin accessibility, activity, and long-range contacts as the best predictors.
双链断裂（DSBs）是由多种来源（包括辐射和化学物质）攻击两条 DNA 链而产生的。DSBs 会导致与癌症相关的异常染色体重排。最近的技术允许以高分辨率对 DSB 进行全基因组作图，从而能够全面研究它们的起源。然而，这些技术既昂贵又具有挑战性。因此，我们设计了一种使用表观基因组和染色质环境来预测 DSB 的计算方法，ENCODE 项目提供了这些环境的公共数据。我们在高分辨率下实现了出色的预测准确性。我们发现染色质可及性、活性和长程接触是最好的预测因子。
