Pharmacological responses of G protein-coupled receptors (GPCRs) can be fine-tuned by allosteric modulators. Structural studies of such effects have been limited due to the medium resolution of GPCR structures. We re-engineered the human A2A adenosine receptor by replacing its third intracellular loop with apo-cytochrome b562RIL and solved the structure at 1.8 angstrom resolution. The high-resolution structure identified about 57 ordered waters inside the receptor comprising three major clusters. The central cluster harbors a putative sodium ion bound to the highly conserved Asp2.50. Additionally, two cholesterols stabilize the conformation of helix VI, and one of 23 ordered lipids intercalates inside the ligand-binding pocket. These high-resolution details shed light on the potential role of structured waters, sodium ions and lipids/cholesterol in GPCR stabilization and function.

SUMMARY The 9p21.3 cardiovascular disease locus is the most influential common genetic risk factor for coronary artery disease (CAD), accounting for ~10%−15% of disease in non-African populations. The ~60 kb risk haplotype is human-specific and lacks coding genes, hindering efforts to decipher its function. Here, we produce induced pluripotent stem cells (iPSCs) from risk and non-risk individuals, delete each haplo-type using genome editing, and generate vascular smooth muscle cells (VSMCs). Risk VSMCs exhibit globally altered transcriptional networks that intersect with previously identified CAD risk genes and pathways, concomitant with aberrant adhesion, contraction, and proliferation. Unexpectedly, deleting the risk haplotype rescues VSMC stability, while expressing the 9p21.3-associated long non-coding RNA ANRIL induces risk phenotypes in non-risk VSMCs. This study shows that the risk haplotype selectively predisposes VSMCs to adopt a cell state associated with CAD phenotypes, defines new VSMC-based networks of CAD risk genes, and es-tablishes haplotype-edited iPSCs as powerful tools for functionally annotating the human genome.

The transcriptional programs that establish neuronal identity evolved to produce the rich diversity of neuronal cell types that arise sequentially during development. Remarkably, transient expression of certain transcription factors can also endow non-neural cells with neuronal properties. The relationship between reprogramming factors and the transcriptional networks that produce neuronal identity and diversity remains largely unknown. Here, from a screen of 598 pairs of transcription factors, we identify 76 pairs of transcription factors that induce mouse fibroblasts to differentiate into cells with neuronal features. By comparing the transcriptomes of these induced neuronal cells (iN cells) with those of endogenous neurons, we define a 'core' cell-autonomous neuronal signature. The iN cells also exhibit diversity; each transcription factor pair produces iN cells with unique transcriptional patterns that can predict their pharmacological responses. By linking distinct transcription factor input 'codes' to defined transcriptional outputs, this study delineates cell-autonomous features of neuronal identity and diversity and expands the reprogramming toolbox to facilitate engineering of induced neurons with desired patterns of gene expression and related functional properties.

Small molecules targeting allosteric pockets of G proteincoupled receptors (GPCRs) have a great therapeutic potential for the treatment of neurologic and other chronic disorders. Here we performed virtual screening for orthosteric and putative allosteric ligands of the human dopamine D 3 receptor (D3R) using two optimized crystal-structure-based models: the receptor with an empty binding pocket (D3R APO ), and the receptor complex with dopamine (D3R Dopa ). Subsequent biochemical and functional characterization revealed 14 novel ligands with a binding affinity of better than 10 mM in the D3R APO candidate list (56% hit rate), and 8 novel ligands in the D3R Dopa list (32% hit rate). Most ligands in the D3R APO model span both orthosteric and extended pockets and behave as antagonists at D3R, with compound 7 showing the highest potency of dopamine inhibition (IC 50 5 7 nM). In contrast, compounds identified by the D3R Dopa model are predicted to occupy an allosteric site at the extracellular extension of the pocket, and they all lack the anchoring amino group. Compounds targeting the allosteric site display a variety of functional activity profiles, where behavior of at least two compounds (23 and 26) is consistent with noncompetitive allosteric modulation of dopamine signaling in the extracellular signal-regulated kinase 1 and 2 phosphorylation and b-arrestin recruitment assays. The high affinity and ligand efficiency of the chemically diverse hits identified in this study suggest utility of structure-based screening targeting allosteric sites of GPCRs.

Somatic mutation in neurons is linked to neurologic disease and implicated in cell type diversification. However, the origin, extent and patterns of genomic mutation in neurons remain unknown. We established a nuclear transfer method to clonally amplify the genomes of neurons from adult mice for whole genome sequencing. Comprehensive mutation detection and independent validation revealed that individual neurons harbor ~100 unique mutations from all classes, but lack recurrent rearrangements. Most neurons contain at least one gene disrupting mutation and rare (0-2) mobile element insertions. The frequency and gene bias of neuronal mutations differs from other lineages, potentially due to novel mechanisms governing post-mitotic mutation. Fertile mice were cloned from several neurons, establishing the compatibility of mutated adult neuronal genomes with reprogramming to pluripotency and development.