2020
DOI: 10.1101/2020.09.04.282749
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Evolution is in the details: Regulatory differences in modern human and Neanderthal

Abstract: Transcription factor (TF) proteins play a critical role in the regulation of eukaryote gene expression by sequence-specific binding to genomic locations known as transcription factor binding sites. Here we present the TFBSFootprinter tool which has been created to combine transcription-relevant data from six large empirical datasets: Ensembl, JASPAR, FANTOM5, ENCODE, GTEX, and GTRD to more accurately predict functional sites. A complete analysis integrating all experimental datasets can be performed on genes i… Show more

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Cited by 5 publications
(5 citation statements)
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“…This proportion is substantial, considering that all cis-eQTLs are estiamted to be responsible for only ∼6% of expression variation. Consistent with other previous studies that have investigated the regulatory importance of Neandertal DNA and its potential phenotypic consequences for present-day people ( Gittelman et al 2016 ; Dannemann et al 2017 ; McCoy et al 2017 ; Colbran et al 2019 ; Petr et al 2019 ; Silvert et al 2019 ; Gokhman et al 2020 ; Barker et al . 2020 ; Telis et al 2020 ) we show that the inferred genome-wide long-range regulatory implication of archaic DNA that we investigated in our study is associated with various phenotypic effects and some of the underlying archaic variants potential targets of positive selection.…”
Section: Discussionsupporting
confidence: 92%
“…This proportion is substantial, considering that all cis-eQTLs are estiamted to be responsible for only ∼6% of expression variation. Consistent with other previous studies that have investigated the regulatory importance of Neandertal DNA and its potential phenotypic consequences for present-day people ( Gittelman et al 2016 ; Dannemann et al 2017 ; McCoy et al 2017 ; Colbran et al 2019 ; Petr et al 2019 ; Silvert et al 2019 ; Gokhman et al 2020 ; Barker et al . 2020 ; Telis et al 2020 ) we show that the inferred genome-wide long-range regulatory implication of archaic DNA that we investigated in our study is associated with various phenotypic effects and some of the underlying archaic variants potential targets of positive selection.…”
Section: Discussionsupporting
confidence: 92%
“…This proportion is substantial, considering that all cis-eQTLs are estiamted to be responsible for only ∼6% of expression variation. Consistent with other previous studies that have investigated the regulatory importance of Neandertal DNA and its potential phenotypic consequences for present-day people (Barker et al, 2020; Colbran et al, 2019; Dannemann et al, 2017; Gittelman et al, 2016; Gokhman et al, 2020; McCoy et al, 2017; Petr et al, 2019; Silvert et al, 2019; Telis et al, 2020) we show that the inferred genome-wide long-range regulatory implication of archaic DNA that we investigated in our study is associated with various phenotypic effects and some of the underlying archaic variants potential targets of positive selection.…”
Section: Discussionsupporting
confidence: 92%
“…It remains challenging to computationally reconstruct regulatory mechanisms and therefore fully reconstruct the regulatory role of Neandertal DNA through its interaction with TFs. However, the results of our study and other previous work that investigated the impact of Neandertal DNA on the modification of TF binding motif sequences [59,60] have demonstrated the importance of studying the interaction of Neandertal DNA and TF activity in the quest to complete the picture of the impact of Neandertal introgression on the transcriptomic landscape of people today.…”
Section: Discussionmentioning
confidence: 55%
“…We have previously used patterns of cytosine degradation in ancient samples to reconstruct whole-genome archaic DNA methylation maps ( Gokhman et al, 2020 ; Gokhman et al, 2014 ; Gokhman et al, 2016 ). However, despite various approaches to extract regulatory information from ancient genomes ( Yan and McCoy, 2020 ; Colbran, 2019 ; Gokhman et al, 2016 ; Barker et al, 2020 ; Batyrev et al, 2019 ; Pedersen et al, 2014 ; Silvert et al, 2019 ; Moriano and Boeckx, 2020 ), our understanding of gene regulation in archaic humans remains minimal, with most archaic regulatory information being currently inaccessible ( Yan and McCoy, 2020 ). Additionally, whereas expression quantitative trait locus (eQTL) mapping can be used to identify variants that drive differential expression between individuals, it can only be applied to loci that are variable within the present-day human population.…”
Section: Introductionmentioning
confidence: 99%