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A large-scale cancer-specific protein-DNA interaction network.
Lu, Yunwei; Berenson, Anna; Lane, Ryan; Guelin, Isabelle; Li, Zhaorong; Chen, Yilin; Shah, Sakshi; Yin, Meimei; Soto-Ugaldi, Luis Fernando; Fiszbein, Ana; Fuxman Bass, Juan Ignacio.
Afiliación
  • Lu Y; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Berenson A; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Lane R; Molecular Biology, Cellular Biology and Biochemistry Program, Boston University, Boston, MA, 02215, USA.
  • Guelin I; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Li Z; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Chen Y; Bioinformatics Program, Boston University, Boston, MA, 02215, USA.
  • Shah S; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Yin M; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Soto-Ugaldi LF; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Fiszbein A; Tri-Institutional Program in Computational Biology and Medicine, New York, NY, 10021, USA.
  • Fuxman Bass JI; Biology Department, Boston University, Boston, MA, 02215, USA.
bioRxiv ; 2024 Jan 29.
Article en En | MEDLINE | ID: mdl-38352498
ABSTRACT
Cancer development and progression are generally associated with dysregulation of gene expression, often resulting from changes in transcription factor (TF) sequence or expression. Identifying key TFs involved in cancer gene regulation provides a framework for potential new therapeutics. This study presents a large-scale cancer gene TF-DNA interaction network as well as an extensive promoter clone resource for future studies. Most highly connected TFs do not show a preference for binding to promoters of genes associated with either good or poor cancer prognosis, suggesting that emerging strategies aimed at shifting gene expression balance between these two prognostic groups may be inherently complex. However, we identified potential for oncogene targeted therapeutics, with half of the tested oncogenes being potentially repressed by influencing specific activator or bifunctional TFs. Finally, we investigate the role of intrinsically disordered regions within the key cancer-related TF estrogen receptor ɑ (ESR1) on DNA binding and transcriptional activity, and found that these regions can have complex trade-offs in TF function. Altogether, our study not only broadens our knowledge of TFs involved in the cancer gene regulatory network but also provides a valuable resource for future studies, laying a foundation for potential therapeutic strategies targeting TFs in cancer.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos