Mutational signatures in GATA3 transcription factor and its DNA binding domain that stimulate breast cancer and HDR...

Area of Science:

• Biochemistry and Molecular Biology
• Genetics and Genomics
• Structural Biology

Background:

• Transcription factors (TFs) are crucial in biological processes, and mutations in TF genes are linked to human genetic disorders and cancer.
• GATA3 is a TF implicated in various diseases, making its structure and mutation effects important research areas.

Purpose of the Study:

• To investigate the structural and energetic effects of missense mutations in the GATA3 transcription factor and its DNA binding site.
• To develop an in silico model for predicting the impact of mutations on TF:DNA complex stability.

Main Methods:

• Generated all possible missense mutants for GATA3 protein and adjacent/opposite DNA bases in complex models.
• Employed Poisson-Boltzmann electrostatic calculations and free energy calculations to assess binding changes.
• Validated computational findings against existing experimental genetic data.

Main Results:

• Identified specific amino acids and DNA bases that are key determinants of GATA3:DNA binding.
• Demonstrated the utility of in silico modeling in predicting mutation effects on TF:DNA interactions.
• Corroborated computational predictions with experimental genetic data.

Conclusions:

• The developed in silico model provides a novel approach for scoring missense mutations in TF:DNA complexes.
• This methodology can be applied to other transcription factors involved in genetic diseases and cancer, aiding therapeutic strategies.