The functional consequences of genetic variation in mammalian regulatory elements are poorly understood. We report the in vivo dissection of three mammalian liver enhancers at single nucleotide resolution via a massively parallelized reporter assay. For each enhancer, we synthesized a library of >100,000 mutant haplotypes with 2–3% divergence from wild-type. Each haplotype was linked to a unique sequence tag embedded within a transcriptional cassette. We introduced each enhancer library into mouse liver and measured the relative activities of individual haplotypes en masse by sequencing of the transcribed tags. Linear regression yielded highly reproducible estimates of the impact of every possible single nucleotide change on enhancer activity. The functional impact of most mutations was modest, with ~22% impacting activity by >1.2-fold, and only ~3% by >2-fold. These results suggest that mammalian enhancers are relatively robust to single nucleotide changes. Several, but not all positions with higher impact showed evidence for purifying selection, or co-localized with known liver-associated transcription factor binding sites, demonstrating the value of empirical high-resolution functional analysis.

Despite continual progress in the cataloging of vertebrate regulatory elements, little is known about their organization and regulatory architecture. Here we describe a massively parallel experiment to systematically test the impact of copy number, spacing, combination and order of transcription factor binding sites on gene expression. A complex library of ~5,000 synthetic regulatory elements containing patterns from 1 2 liver-specific transcription factor binding sites was assayed in mice and in HepG2 cells. We find that certain transcription factors act as direct drivers of gene expression in homotypic clusters of binding sites, independent of spacing between sites, whereas others function only synergistically. Heterotypic enhancers are stronger than their homotypic analogs and favor specific transcription factor binding site combinations, mimicking putative native enhancers. Exhaustive testing of binding site permutations suggests that there is flexibility in binding site order. Our findings provide quantitative support for a flexible model of regulatory element activity and suggest a framework for the design of synthetic tissue-specific enhancers.

Clathrin-mediated transport is a major pathway for endocytosis. However, in yeast, where cortical actin patches are essential for endocytosis, plasma membrane-associated clathrin has never been observed. Using live cell imaging, we demonstrate cortical clathrin in association with the actin-based endocytic machinery in yeast. Fluorescently tagged clathrin is found in highly mobile internal trans-Golgi/endosomal structures and in smaller cortical patches. Total internal reflection fluorescence microscopy showed that cortical patches are likely endocytic sites, as clathrin is recruited prior to a burst of intensity of the actin patch/endocytic marker, Abp1. Clathrin also accumulates at the cortex with internalizing alpha factor receptor, Ste2p. Cortical clathrin localizes with epsins Ent1/2p and AP180s, and its recruitment to the surface is dependent upon these adaptors. In contrast, Sla2p, End3p, Pan1p, and a dynamic actin cytoskeleton are not required for clathrin assembly or exchange but are required for the mobility, maturation, and/or turnover of clathrin-containing endocytic structures.

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Neurons in the central nervous system lose their intrinsic capacity for axon regeneration as they mature, and it is widely hypothesized that changes in gene expression are responsible. Testing this hypothesis and identifying the relevant genes has been challenging because hundreds to thousands of genes are developmentally regulated in CNS neurons, but only a small subset are likely relevant to axon growth. Here we used automated high content analysis (HCA) methods to functionally test 743 plasmids encoding developmentally regulated genes in neurite outgrowth assays using postnatal cortical neurons. We identified both growth inhibitors (Ephexin, Aldolase A, Solute Carrier 2A3, and Chimerin), and growth enhancers (Doublecortin, Doublecortin-like, Kruppel-like Factor 6, and CaM-Kinase II gamma), some of which regulate established growth mechanisms like microtubule dynamics and small GTPase signaling. Interestingly, with only one exception the growth-suppressing genes were developmentally upregulated, and the growth-enhancing genes downregulated. These data provide important support for the hypothesis that developmental changes in gene expression control neurite outgrowth, and identify potential new gene targets to promote neurite outgrowth.