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Dissecting the transcriptional regulatory properties of human chromosome 16 highly conserved non-coding regions.


ABSTRACT: Non-coding DNA conservation across species has been often used as a predictor for transcriptional enhancer activity. However, only a few systematic analyses of the function of these highly conserved non-coding regions (HCNRs) have been performed. Here we use zebrafish transgenic assays to perform a systematic study of 113 HCNRs from human chromosome 16. By comparing transient and stable transgenesis, we show that the first method is highly inefficient, leading to 40% of false positives and 20% of false negatives. When analyzed in stable transgenic lines, a great majority of HCNRs were active in the central nervous system, although some of them drove expression in other organs such as the eye and the excretory system. Finally, by testing a fraction of the HCNRs lacking enhancer activity for in vivo insulator activity, we find that 20% of them may contain enhancer-blocking function. Altogether our data indicate that HCNRs may contain different types of cis-regulatory activity, including enhancer, insulators as well as other not yet discovered functions.

SUBMITTER: Royo JL 

PROVIDER: S-EPMC3172297 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Dissecting the transcriptional regulatory properties of human chromosome 16 highly conserved non-coding regions.

Royo José Luis JL   Hidalgo Carmen C   Roncero Yolanda Y   Seda María Angeles MA   Akalin Altuna A   Lenhard Boris B   Casares Fernando F   Gómez-Skarmeta José Luis JL  

PloS one 20110913 9


Non-coding DNA conservation across species has been often used as a predictor for transcriptional enhancer activity. However, only a few systematic analyses of the function of these highly conserved non-coding regions (HCNRs) have been performed. Here we use zebrafish transgenic assays to perform a systematic study of 113 HCNRs from human chromosome 16. By comparing transient and stable transgenesis, we show that the first method is highly inefficient, leading to 40% of false positives and 20% o  ...[more]

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