2026-08-21 カリフォルニア大学サンディエゴ校（UCSD）
＜関連情報＞
- https://today.ucsd.edu/story/researchers-use-ai-to-decode-key-dna-sequence-in-gene-activation
- https://genesdev.cshlp.org/content/early/2026/07/31/gad.353623.125.abstract
ヒトのイニシエーター領域の機械学習解析により、様々なタイプのコアプロモーターの重要な特徴が明らかになった Machine learning analysis of the human initiator region reveals key features of different types of core promoters
Torrey E. Rhyne-Carrigg,Long Vo ngoc,Claudia Medrano,Kassidy E. Gillespie and James T. Kadonaga
Genes & Development Published:July 31, 2026
DOI:10.1101/gad.353623.125
Abstract
The initiator (Inr) is the starting point for the transcription of many genes. Here, we generated highly predictive machine learning models of the human Inr region, and determined that the Inr is present in ∼60% of focused human promoters, identified a novel TATA-specific Inr, and detected the overlapping but functionally distinct TCT motif. Quantitative genome-wide analyses revealed a strict and synergistic interaction between the Inr and DPR, an inverse relationship between the TATA and DPR, a flexible and sometimes independent function of the TATA box in relation to the Inr, and different properties of the TCT motif in humans versus Drosophila.
