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G protein-coupled receptors (GPCRs) regulate many aspects of physiology and represent actionable targets for drug discovery. These receptors translate ligand-dependent input into a cellular response by remodeling protein interaction networks that are exquisitely organized both spatially and temporally. APEX-based proximity biotin labeling combined with quantitative mass spectrometry has emerged as a powerful approach for capturing all aspects of this dynamic ligand-dependent cellular re-organization. However, a major challenge in this approach is the extraction of salient information from these highly complex datasets. Here, we describe a computational framework for analyzing proximity labeling datasets that reliably predicts the subcellular location of GPCRs and deconvolutes spatial and temporal components of protein interaction network organization. Focusing on the mu-opioid receptor and its activation with distinct agonist drugs, we demonstrate the applicability of this framework to resolve agonist-specific differences in receptor localization and trafficking as well as the protein interaction networks it engages. Using this approach, we discover two novel protein network components which produce widespread, yet distinct, effects on G protein-dependent signaling. While the framework is broadly applicable to proximity biotin labeling datasets, it holds specific promise for further rationalizing GPCR drug discovery efforts by providing an unbiased assessment of ligand-dependent effects, and by enabling the discovery of additional network components for consideration as novel therapeutic targets.

Genome-wide association studies (GWAS) have identified multiple associations with emphysema apicobasal distribution (EABD), but the biological functions of these variants are unknown. To characterize the functions of EABD-associated variants, we integrated GWAS results with 1) expression quantitative trait loci (eQTL) from the Genotype Tissue Expression (GTEx) project and subjects in the COPDGene (Genetic Epidemiology of COPD) study and 2) cell type epigenomic marks from the Roadmap Epigenomics project. On the basis of these analyses, we selected a variant near ACVR1B (activin A receptor type 1B) for functional validation. SNPs from 168 loci with P values less than 5 × 10(−5) in the largest GWAS meta-analysis of EABD were analyzed. Eighty-four loci overlapped eQTL, with 12 of these loci showing greater than 80% likelihood of harboring a single, shared GWAS and eQTL causal variant. Seventeen cell types were enriched for overlap between EABD loci and Roadmap Epigenomics marks (permutation P

Rationale: The identification of causal variants responsible for disease associations from genome-wide association studies (GWASs) facilitates functional understanding of the biological mechanisms by which those genetic variants influence disease susceptibility. Objective: We aim to identify causal variants in or near the FAM13A (family with sequence similarity member 13A) GWAS locus associated with chronic obstructive pulmonary disease (COPD). Methods: We used an integrated approach featuring conditional genetic analysis, massively parallel reporter assays (MPRAs), traditional reporter assays, chromatin conformation capture assays, and clustered regularly interspaced short palindromic repeats (CRISPR)-based gene editing to characterize COPD-associated regulatory variants in the FAM13A region in human bronchial epithelial cell lines. Measurements and Main Results: Conditional genetic association suggests the presence of two independent COPD association signals in FAM13A. MPRAs identified 45 regulatory variants within FAM13A, among which six variants were prioritized for further investigation. Three COPD-associated variants demonstrated significant allele-specific activity in reporter assays. One of three variants, rs2013701, was tested in the endogenous genomic context by CRISPR-based genome editing that confirmed its allele-specific effects on FAM13A expression and on cell proliferation, providing functional characterization for this COPD-associated variant. Conclusions: The human GWAS association near FAM13A may contain independent association signals. MPRAs identified multiple functional variants in this region, including rs2013701, a putative COPD-causing variant with allele-specific regulatory activity.

Protein conformations are shaped by cellular environments, but how environmental changes alter the conformational landscapes of specific proteins in vivo remains largely uncharacterized, in part due to the challenge of probing protein structures in living cells. Here, we use deep mutational scanning to investigate how a toxic conformation of α-synuclein, a dynamic protein linked to Parkinson’s disease, responds to perturbations of cellular proteostasis. In the context of a course for graduate students in the UCSF Integrative Program in Quantitative Biology, we screened a comprehensive library of α-synuclein missense mutants in yeast cells treated with a variety of small molecules that perturb cellular processes linked to α-synuclein biology and pathobiology. We found that the conformation of α-synuclein previously shown to drive yeast toxicity—an extended, membrane-bound helix—is largely unaffected by these chemical perturbations, underscoring the importance of this conformational state as a driver of cellular toxicity. On the other hand, the chemical perturbations have a significant effect on the ability of mutations to suppress α-synuclein toxicity. Moreover, we find that sequence determinants of α-synuclein toxicity are well described by a simple structural model of the membrane-bound helix. This model predicts that α-synuclein penetrates the membrane to constant depth across its length but that membrane affinity decreases toward the C terminus, which is consistent with orthogonal biophysical measurements. Finally, we discuss how parallelized chemical genetics experiments can provide a robust framework for inquiry-based graduate coursework.

A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein–protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19. A human–SARS-CoV-2 protein interaction map highlights cellular processes that are hijacked by the virus and that can be targeted by existing drugs, including inhibitors of mRNA translation and predicted regulators of the sigma receptors.

Author(s): Gordon, David E; Jang, Gwendolyn M; Bouhaddou, Mehdi; Xu, Jiewei; Obernier, Kirsten; O'Meara, Matthew J; Guo, Jeffrey Z; Swaney, Danielle L; Tummino, Tia A; Huttenhain, Ruth; Kaake, Robyn M; Richards, Alicia L; Tutuncuoglu, Beril; Foussard, Helene; Batra, Jyoti; Haas, Kelsey; Modak, Maya; Kim, Minkyu; Haas, Paige; Polacco, Benjamin J; Braberg, Hannes; Fabius, Jacqueline M; Eckhardt, Manon; Soucheray, Margaret; Bennett, Melanie J; Cakir, Merve; McGregor, Michael J; Li, Qiongyu; Naing, Zun Zar Chi; Zhou, Yuan; Peng, Shiming; Kirby, Ilsa T; Melnyk, James E; Chorba, John S; Lou, Kevin; Dai, Shizhong A; Shen, Wenqi; Shi, Ying; Zhang, Ziyang; Barrio-Hernandez, Inigo; Memon, Danish; Hernandez-Armenta, Claudia; Mathy, Christopher JP; Perica, Tina; Pilla, Kala B; Ganesan, Sai J; Saltzberg, Daniel J; Ramachandran, Rakesh; Liu, Xi; Rosenthal, Sara B; Calviello, Lorenzo; Venkataramanan, Srivats; Lin, Yizhu; Wankowicz, Stephanie A; Bohn, Markus; Trenker, Raphael; Young, Janet M; Cavero, Devin; Hiatt, Joe; Roth, Theo; Rathore, Ujjwal; Subramanian, Advait; Noack, Julia; Hubert, Mathieu; Roesch, Ferdinand; Vallet, Thomas; Meyer, Bjorn; White, Kris M; Miorin, Lisa; Agard, David; Emerman, Michael; Ruggero, Davide; Garcia-Sastre, Adolfo; Jura, Natalia; von Zastrow, Mark; Taunton, Jack; Schwartz, Olivier; Vignuzzi, Marco; d'Enfert, Christophe; Mukherjee, Shaeri; Jacobson, Matt; Malik, Harmit S; Fujimori, Danica G; Ideker, Trey; Craik, Charles S | Abstract: An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide social and economic disruption1,2. There are currently no antiviral drugs with proven efficacy nor are there vaccines for its prevention. Unfortunately, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To illuminate this, we cloned, tagged and expressed 26 of the 29 viral proteins in human cells and identified the human proteins physically associated with each using affinity- purification mass spectrometry (AP-MS), which identified 332 high confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 existing FDA-approved drugs, drugs in clinical trials and/or preclinical compounds, that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains.

Massive efforts to sequence cancer genomes have compiled an impressive catalogue of cancer mutations, revealing the recurrent exploitation of a handful of 'hallmark cancer pathways'. However, unraveling how sets of mutated proteins in these and other pathways hijack pro-proliferative signaling networks and dictate therapeutic responsiveness remains challenging. Here, we show that cancer driver protein-protein interactions are enriched for additional cancer drivers, highlighting the power of physical interaction maps to explain known, as well as uncover new, disease-promoting pathway interrelationships. We hypothesize that by systematically mapping the protein-protein and genetic interactions in cancer-thereby creating Cancer Cell Maps-we will create resources against which to contextualize a patient's mutations into perturbed pathways/complexes and thereby specify a matching targeted therapeutic cocktail.

Bioenergetics homeostasis is important for cells to sustain normal functions and defend against injury. The genetic controls of bioenergetics homeostasis, especially lipid metabolism, remain poorly understood in chronic obstructive pulmonary disease (COPD), the third leading cause of death in the world. Additionally, the biological function of most of the susceptibility genes identified from genome-wide association studies (GWASs) in COPD remains unclear. Here, we aimed to address (1) how fatty acid oxidation (FAO), specifically β-oxidation, a key lipid metabolism pathway that provides energy to cells, contributes to cigarette smoke (CS)-induced COPD; and (2) whether-and if so, how-FAM13A (family with sequence similarity 13 member A), a well-replicated COPD GWAS gene, modulates the FAO pathway. We demonstrated that CS induced expression of carnitine palmitoyltransferase 1A (CPT1A), a key mitochondrial enzyme for the FAO pathway, thereby enhancing FAO. Pharmacological inhibition of FAO by etomoxir blunted CS-induced reactive oxygen species accumulation and cell death in lung epithelial cells. FAM13A promoted FAO, possibly by interacting with and activating sirutin 1, and increasing expression of CPT1A. Furthermore, CS-induced cell death was reduced in lungs from Fam13a-/- mice. Our results suggest that FAM13A, the COPD GWAS gene, shapes the cellular metabolic response to CS exposure by promoting the FAO pathway, which may contribute to COPD development.

Genetic variants in Hedgehog interacting protein (HHIP) have consistently been associated with the susceptibility to develop chronic obstructive pulmonary disease and pulmonary function levels, including the forced expiratory volume in 1 s (FEV1), in general population samples by genome-wide association studies. However, in vivo evidence connecting Hhip to age-related FEV1 decline and emphysema development is lacking. Herein, using Hhip heterozygous mice (Hhip(+/-)), we observed increased lung compliance and spontaneous emphysema in Hhip(+/-) mice starting at 10 mo of age. This increase was preceded by increases in oxidative stress levels in the lungs of Hhip(+/-) vs. Hhip(+/+) mice. To our knowledge, these results provide the first line of evidence that HHIP is involved in maintaining normal lung function and alveolar structures. Interestingly, antioxidant N-acetyl cysteine treatment in mice starting at age of 5 mo improved lung function and prevented emphysema development in Hhip(+/-) mice, suggesting that N-acetyl cysteine treatment limits the progression of age-related emphysema in Hhip(+/-) mice. Therefore, reduced lung function and age-related spontaneous emphysema development in Hhip(+/-) mice may be caused by increased oxidative stress levels in murine lungs as a result of haploinsufficiency of Hhip.

A genetic locus within the FAM13A gene has been consistently associated with chronic obstructive pulmonary disease (COPD) in genome-wide association studies. However, the mechanisms by which FAM13A contributes to COPD susceptibility are unknown.To determine the biologic function of FAM13A in human COPD and murine COPD models and discover the molecular mechanism by which FAM13A influences COPD susceptibility.Fam13a null mice (Fam13a(-/-)) were generated and exposed to cigarette smoke. The lung inflammatory response and airspace size were assessed in Fam13a(-/-) and Fam13a(+/+) littermate control mice. Cellular localization of FAM13A protein and mRNA levels of FAM13A in COPD lungs were assessed using immunofluorescence, Western blotting, and reverse transcriptase-polymerase chain reaction, respectively. Immunoprecipitation followed by mass spectrometry identified cellular proteins that interact with FAM13A to reveal insights on FAM13A's function.In murine and human lungs, FAM13A is expressed in airway and alveolar type II epithelial cells and macrophages. Fam13a null mice (Fam13a(-/-)) were resistant to chronic cigarette smoke-induced emphysema compared with Fam13a(+/+) mice. In vitro, FAM13A interacts with protein phosphatase 2A and recruits protein phosphatase 2A with glycogen synthase kinase 3β and β-catenin, inducing β-catenin degradation. Fam13a(-/-) mice were also resistant to elastase-induced emphysema, and this resistance was reversed by coadministration of a β-catenin inhibitor, suggesting that FAM13A could increase the susceptibility of mice to emphysema development by inhibiting β-catenin signaling. Moreover, human COPD lungs had decreased protein levels of β-catenin and increased protein levels of FAM13A.We show that FAM13A may influence COPD susceptibility by promoting β-catenin degradation.

Although the transmission of ultrasound (US) through the skull bone has been demonstrated for both therapeutic and imaging applications, the clinical efficacy of certain transcranial US applications remains limited by the highly attenuating properties of skull bone. For those applications, the ability to pre-procedurally determine those areas of the skull that are less attenuating to US could be a tremendous asset for improving the use of US in the brain. To present a possible solution, we have hypothesized that the optical transmission intensity at points across the skull surface can be correlated with the local US transmission efficiency. The demonstration of this correlation would potentially allow for the use of integrated lasers and photodetectors within a HIFU system to create a patient-specific transmission map of the skull. We have statistically investigated the relationship between transmitted optical and US intensities over multiple points across several ex vivo human calvaria to demonstrate this correlation. Along with the results of the analysis, preliminary designs to incorporate optical transmission assessment in transcranial HIFU and echoencephalography will be presented.