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2016 ; 113
(13
): E1835-43
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Identifying genetic modulators of the connectivity between transcription factors
and their transcriptional targets
#MMPMID26966232
Fazlollahi M
; Muroff I
; Lee E
; Causton HC
; Bussemaker HJ
Proc Natl Acad Sci U S A
2016[Mar]; 113
(13
): E1835-43
PMID26966232
show ga
Regulation of gene expression by transcription factors (TFs) is highly dependent
on genetic background and interactions with cofactors. Identifying specific
context factors is a major challenge that requires new approaches. Here we show
that exploiting natural variation is a potent strategy for probing functional
interactions within gene regulatory networks. We developed an algorithm to
identify genetic polymorphisms that modulate the regulatory connectivity between
specific transcription factors and their target genes in vivo. As a proof of
principle, we mapped connectivity quantitative trait loci (cQTLs) using parallel
genotype and gene expression data for segregants from a cross between two strains
of the yeast Saccharomyces cerevisiae We identified a nonsynonymous mutation in
the DIG2 gene as a cQTL for the transcription factor Ste12p and confirmed this
prediction empirically. We also identified three polymorphisms in TAF13 as
putative modulators of regulation by Gcn4p. Our method has potential for
revealing how genetic differences among individuals influence gene regulatory
networks in any organism for which gene expression and genotype data are
available along with information on binding preferences for transcription
factors.