Other

Dataset Information

0

Global analysis of Drosophila Cys2-His2 zinc finger proteins reveals a multitude of novel recognition motifs and binding determinants.


ABSTRACT: Cys2-His2 zinc finger proteins (ZFPs) are the largest group of transcription factors in higher metazoans. A complete characterization of these ZFPs and their associated target sequences is pivotal to fully annotate transcriptional regulatory networks in metazoan genomes. As a first step in this process, we have characterized the DNA-binding specificities of 130 Zinc finger sets from Drosophila melanogaster using a bacterial one-hybrid system. This data set contains the DNA-binding specificities for at least one encoded ZFP from 71 unique genes and 22 alternate splice isoforms. This represents the largest block of characterized ZFPs from any organism described to date. These recognition motifs can be used to predict genomic binding sites and potential regulatory targets for these factors within the fruit fly genome. We have characterized subsets of fingers from these ZFPs to define the correct orientation and register of the zinc fingers on their defined binding sites. By correlating individual fingers with motif subsites, we can assign finger specificity throughout each ZFP. This reveals the diversity of recognition potential within the naturally-occurring zinc fingers of a single organism, where the characterized fingers can specify 47 of the 64 possible DNA triplets. To confirm the utility of our finger recognition models, we have employed subsets of Drosophila fingers in combination with an existing archive of zinc finger modules to create ZFPs with novel DNA-binding specificity. These finger combinations can be used to create novel functional Zinc Finger Nucleases for editing vertebrate genomes.

ORGANISM(S): synthetic construct

PROVIDER: GSE42709 | GEO | 2012/12/06

SECONDARY ACCESSION(S): PRJNA182907

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2012-12-06 | E-GEOD-42709 | biostudies-arrayexpress
2019-06-27 | GSE115288 | GEO
2019-06-27 | GSE115287 | GEO
2024-05-17 | MSV000094794 | MassIVE
2024-09-20 | GSE249246 | GEO
2024-09-20 | GSE277161 | GEO
2024-09-20 | GSE268963 | GEO
2024-09-20 | GSE249245 | GEO
2024-09-20 | GSE277160 | GEO
2024-09-20 | GSE277047 | GEO