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    Date Issued2020 (1)2016 (1)Author
    Gellatly, Kyle J. (2)
    Garber, Manuel (1)Guttman, Mitchell (1)Krim, Sarah (1)Lee, Si Hyeock (1)View MoreUMass Chan AffiliationGraduate School of Biomedical Sciences (2)Program in Bioinformatics and Integrative Biology (1)Program in Molecular Medicine (1)Document TypeJournal Article (2)KeywordAmino Acids, Peptides, and Proteins (1)Biochemistry, Biophysics, and Structural Biology (1)Bioinformatics (1)chromosome conformation (1)cis-regulatory elements (1)View MoreJournalJournal of medical entomology (1)Molecular cell (1)

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    High-Resolution Mapping of Multiway Enhancer-Promoter Interactions Regulating Pathogen Detection

    Vangala, Pranitha; Murphy, Rachel; Quinodoz, Sofia A.; Gellatly, Kyle J.; McDonel, Patrick E.; Guttman, Mitchell; Garber, Manuel (2020-10-15)
    Eukaryotic gene expression regulation involves thousands of distal regulatory elements. Understanding the quantitative contribution of individual enhancers to gene expression is critical for assessing the role of disease-associated genetic risk variants. Yet, we lack the ability to accurately link genes with their distal regulatory elements. To address this, we used 3D enhancer-promoter (E-P) associations identified using split-pool recognition of interactions by tag extension (SPRITE) to build a predictive model of gene expression. Our model dramatically outperforms models using genomic proximity and can be used to determine the quantitative impact of enhancer loss on gene expression in different genetic backgrounds. We show that genes that form stable E-P hubs have less cell-to-cell variability in gene expression. Finally, we identified transcription factors that regulate stimulation-dependent E-P interactions. Together, our results provide a framework for understanding quantitative contributions of E-P interactions and associated genetic variants to gene expression.
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    Expansion of the Knockdown Resistance Frequency Map for Human Head Lice (Phthiraptera: Pediculidae) in the United States Using Quantitative Sequencing

    Gellatly, Kyle J.; Krim, Sarah; Palenchar, Daniel J.; Shepherd, Katie; Yoon, Kyong Sup; Rhodes, Christopher J.; Lee, Si Hyeock; Marshall Clark, J. (2016-03-31)
    Pediculosis is a prevalent parasitic infestation of humans, which is increasing due, in part, to the selection of lice resistant to either the pyrethrins or pyrethroid insecticides by the knockdown resistance (kdr) mechanism. To determine the extent and magnitude of thekdr-type mutations responsible for this resistance, lice were collected from 138 collection sites in 48 U.S. states from 22 July 2013 to 11 May 2015 and analyzed by quantitative sequencing. Previously published data were used for comparisons of the changes in the frequency of thekdr-type mutations over time. Mean percent resistance allele frequency (mean % RAF) values across the three mutation loci were determined from each collection site. The overall mean % RAF (+/-SD) for all analyzed lice was 98.3 +/- 10%. 132/138 sites (95.6%) had a mean % RAF of 100%, five sites (3.7%) had intermediate values, and only a single site had no mutations (0.0%). Forty-two states (88%) had a mean % RAF of 100%. The frequencies ofkdr-type mutations did not differ regardless of the human population size that the lice were collected from, indicating a uniformly high level of resistant alleles. The loss of efficacy of the Nix formulation (Prestige Brand, Tarrytown, NY) from 1998 to 2013 was correlated to the increase inkdr-type mutations. These data provide a plausible reason for the decrease in the effectiveness of permethrin in the Nix formulation, which is the parallel increase ofkdr-type mutations in lice over time.
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