» Articles » PMID: 11340073

Development of Zinc Finger Domains for Recognition of the 5'-ANN-3' Family of DNA Sequences and Their Use in the Construction of Artificial Transcription Factors

Overview
Journal J Biol Chem
Specialty Biochemistry
Date 2001 May 8
PMID 11340073
Citations 115
Authors
Affiliations
Soon will be listed here.
Abstract

In previous studies we have developed Cys(2)-His(2) zinc finger domains that specifically recognized each of the 16 5'-GNN-3' DNA target sequences and could be used to assemble six-finger proteins that bind 18-base pair DNA sequences (Beerli, R. R., Dreier, B., and Barbas, C. F., III (2000) Proc. Natl. Acad. Sci. U. S. A. 97, 1495--1500). Such proteins provide the basis for the construction of artificial transcription factors to study gene/function relationships in the post-genomic era. Central to the universal application of this approach is the development of zinc finger domains that specifically recognize each of the 64 possible DNA triplets. Here we describe the construction of a novel phage display library that enables the selection of zinc finger domains recognizing the 5'-ANN-3' family of DNA sequences. Library selections provided domains that in most cases showed binding specificity for the 3-base pair target site that they were selected to bind. These zinc finger domains were used to construct 6-finger proteins that specifically bound their 18-base pair target site with affinities in the pm to low nm range. When fused to regulatory domains, these proteins containing various numbers of 5'-ANN-3' domains were capable of specific transcriptional regulation of a reporter gene and the endogenous human ERBB-2 and ERBB-3 genes. These results suggest that modular DNA recognition by zinc finger domains is not limited to the 5'-GNN-3' family of DNA sequences and can be extended to the 5'-ANN-3' family. The domains characterized in this work provide for the rapid construction of artificial transcription factors, thereby greatly increasing the number of sequences and genes that can be targeted by DNA-binding proteins built from pre-defined zinc finger domains.

Citing Articles

An artificial transcription factor that activates potent interferon-γ expression in human Jurkat T Cells.

King A, Noblitt D, Sherron O, Kjerfve C, Pless L, Truex N Front Mol Med. 2025; 4:1492370.

PMID: 39844823 PMC: 11751033. DOI: 10.3389/fmmed.2024.1492370.


Engineering of Zinc Finger Nucleases Through Structural Modeling Improves Genome Editing Efficiency in Cells.

Katayama S, Watanabe M, Kato Y, Nomura W, Yamamoto T Adv Sci (Weinh). 2024; 11(23):e2310255.

PMID: 38600709 PMC: 11187957. DOI: 10.1002/advs.202310255.


A universal deep-learning model for zinc finger design enables transcription factor reprogramming.

Ichikawa D, Abdin O, Alerasool N, Kogenaru M, Mueller A, Wen H Nat Biotechnol. 2023; 41(8):1117-1129.

PMID: 36702896 PMC: 10421740. DOI: 10.1038/s41587-022-01624-4.


Genome Editing and Diabetic Cardiomyopathy.

Kambis T, Mishra P Adv Exp Med Biol. 2022; 1396:103-114.

PMID: 36454462 PMC: 10155862. DOI: 10.1007/978-981-19-5642-3_7.


Improvement of glucosinolates by metabolic engineering in crops.

Miao H, Zeng W, Wang J, Zhang F, Sun B, Wang Q aBIOTECH. 2022; 2(3):314-329.

PMID: 36303883 PMC: 9590530. DOI: 10.1007/s42994-021-00057-y.