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We next analyzed the selective constraints imposed on heart enhancer groups.
I show that integrating enhancer-associated histone marks from different cellular contexts achieves accurate prediction of heart enhancer activity in a context from which no data were collected.
Recently, an elegant study used a classifier algorithm to identify sequence motifs predictive of heart enhancer activity in mammalian CNEs [ 25].
In some analyses, I also considered 88 human DNA sequences shown by VISTA to have heart enhancer activity in transgenic mice.
Only 7% of the human heart enhancers overlapped a validated mouse heart enhancer, so they represent a largely independent set of genomic regions to classify.
For simplicity, we dubbed a heart gene with at least one proximal heart enhancer GeneP, and a heart gene linked to tele-enhancer(s) only GeneT.
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Also, heart tele-enhancers have a TF binding motif signature distinct from proximal heart enhancers.
In most analyses, validated heart enhancers were the positives.
First, though the heart enhancers validated by VISTA are commonly used to explore attributes of enhancers, they are likely not representative of all developmental heart enhancers.
The non-heart features performed relatively poorly at distinguishing heart enhancers from other types of enhancers.
Our finding that heart enhancers tend to be positively selected is particularly intriguingly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com