Title :
Strategy for Naturelike Designer Transcription Factors with Reduced Toxicity
Author :
Bach, Christian ; Patra, Pradip Kumar ; Pallis, Jani M. ; Sherman, William B. ; Bajwa, Hassan
Author_Institution :
Dept. of Biomed. Eng., Univ. of Bridgeport, Bridgeport, CT, USA
Abstract :
For clinical applications, the biological functions of DNA-binding proteins require that they interact with their target binding site with high affinity and specificity. Advances in randomized production and target-oriented selection of engineered artificial DNA-binding domains incited a rapidly expanding field of designer transcription factors (TFs). Engineered transcription factors are used in zinc-finger nuclease (ZFN) technology that allows targeted genome editing. Zinc-finger-binding domains fabricated by modular assembly display an unexpectedly high failure rate having either a lack of activity as ZFNs in human cells or activity at "off-target"\´ binding sites on the human genome causing cell death. To address these shortcomings, we created new binding domains using a targeted modification strategy. We produced two SP1 mutants by exchanging amino acid residues in the alpha-helical region of the transcription factor SP1. We identified their best target binding sites and searched the NCBI HuRef genome for matches of the nine-base-pair consensus binding site of SP1 and the best binding sites of its mutants. Our research concludes that we can alter the binding preference of existing zinc-finger domains without altering its biological functionalities.
Keywords :
DNA; biochemistry; bioinformatics; cellular biophysics; enzymes; genetics; genomics; molecular biophysics; self-assembly; toxicology; zinc; DNA-binding proteins; NCBI HuRef genome; Zn; alpha-helical region; amino acid residues; artificial DNA-binding domain engineering; biological functions; clinical applications; designer transcription factors; human cell death; human genome editing; modular assembly; reduced toxicity; transcription factor SP1 mutants; zinc-finger nuclease technology; zinc-finger-binding domains; Amino acids; Bioinformatics; Clinical diagnosis; DNA; Genomics; Proteins; Computational genomics; cytotoxicity; transcription factor SP1; zinc-finger nuclease;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2013.107