C17orf53 is identified as a novel gene involved in inter-strand crosslink repair.

Ataxia Telangiectasia and Rad3-Related kinase (ATR) is a master regulator of genome maintenance, and participates in DNA replication and various DNA repair pathways. In a genome-wide screen for ATR-dependent fitness genes, we identified a previously uncharacterized gene, C17orf53, whose loss led to hypersensitivity to ATR inhibition. C17orf53 is conserved in vertebrates and is required for efficient cell proliferation. Loss of C17orf53 slowed down DNA replication and led to pronounced interstrand crosslink (ICL) repair defect. We showed that C17orf53 is a ssDNA- and RPA-binding protein and both characteristics are important for its functions in the cell. In addition, using multiple omics methods, we found that C17orf53 works with MCM8/9 to promote cell survival in response to ICL lesions. Taken together, our data suggest that C17orf53 is a novel component involved in ICL repair pathway.

Genome-wide CRISPR screens reveal synthetic lethality of RNASEH2 deficiency and ATR inhibition.

Ataxia telangiectasia mutated and RAD3 related (ATR) protein kinase plays critical roles in ensuring DNA replication, DNA repair, and cell cycle control in response to replication stress, making ATR inhibition a promising therapeutic strategy for cancer treatment. To identify genes whose loss makes tumor cells hypersensitive to ATR inhibition, we performed CRISPR/Cas9-based whole-genome screens in 3 independent cell lines treated with a highly selective ATR inhibitor, AZD6738. These screens uncovered a comprehensive genome-wide profile of ATR inhibitor sensitivity. From the candidate genes, we demonstrated that RNASEH2 deficiency is synthetic lethal with ATR inhibition both in vitro and in vivo. RNASEH2-deficient cells exhibited elevated levels of DNA damage and, when treated with AZD6738, underwent apoptosis (short-time treated) or senescence (long-time treated). Notably, RNASEH2 deficiency is frequently found in prostate adenocarcinoma; we found decreased RNASEH2B protein levels in prostate adenocarcinoma patient-derived xenograft (PDX) samples. Our findings suggest that ATR inhibition may be beneficial for cancer patients with reduced levels of RNASEH2 and that RNASEH2 merits further exploration as a potential biomarker for ATR inhibitor-based therapy.

Scalable high throughput selection from phage-displayed synthetic antibody libraries.

The demand for antibodies that fulfill the needs of both basic and clinical research applications is high and will dramatically increase in the future. However, it is apparent that traditional monoclonal technologies are not alone up to this task. This has led to the development of alternate methods to satisfy the demand for high quality and renewable affinity reagents to all accessible elements of the proteome. Toward this end, high throughput methods for conducting selections from phage-displayed synthetic antibody libraries have been devised for applications involving diverse antigens and optimized for rapid throughput and success. Herein, a protocol is described in detail that illustrates with video demonstration the parallel selection of Fab-phage clones from high diversity libraries against hundreds of targets using either a manual 96 channel liquid handler or automated robotics system. Using this protocol, a single user can generate hundreds of antigens, select antibodies to them in parallel and validate antibody binding within 6-8 weeks. Highlighted are: i) a viable antigen format, ii) pre-selection antigen characterization, iii) critical steps that influence the selection of specific and high affinity clones, and iv) ways of monitoring selection effectiveness and early stage antibody clone characterization. With this approach, we have obtained synthetic antibody fragments (Fabs) to many target classes including single-pass membrane receptors, secreted protein hormones, and multi-domain intracellular proteins. These fragments are readily converted to full-length antibodies and have been validated to exhibit high affinity and specificity. Further, they have been demonstrated to be functional in a variety of standard immunoassays including Western blotting, ELISA, cellular immunofluorescence, immunoprecipitation and related assays. This methodology will accelerate antibody discovery and ultimately bring us closer to realizing the goal of generating renewable, high quality antibodies to the proteome.

Toxicology and management of novel psychoactive drugs.

Health care providers are seeing an increased number of patients under the influence of several new psychoactive drug classes. Synthetic cannabinoids, cathinones, and piperazines are sought by users for their psychoactive effects, perceived safety profile, minimal legal regulations, and lack of detection on routine urine drug screening. However, these drugs are beginning to be recognized by the medical community for their toxic effects. The neuropsychiatric and cardiovascular toxicities are among the most common reasons for emergency medical treatment, which in some cases, can be severe and even life-threatening. Management strategies are often limited to supportive and symptomatic care due to the limited published data on alternative treatment approaches. The purpose of this article is to offer health care providers, emergency medical personnel in particular, an awareness and understanding of the dangers related to some of the new psychoactive drugs of abuse. The background, pharmacology, toxicity, management, detection, and legal status of each class will be discussed.

Alteration of the C-terminal ligand specificity of the erbin PDZ domain by allosteric mutational effects.

Modulation of protein binding specificity is important for basic biology and for applied science. Here we explore how binding specificity is conveyed in PDZ (postsynaptic density protein-95/discs large/zonula occludens-1) domains, small interaction modules that recognize various proteins by binding to an extended C terminus. Our goal was to engineer variants of the Erbin PDZ domain with altered specificity for the most C-terminal position (position 0) where a Val is strongly preferred by the wild-type domain. We constructed a library of PDZ domains by randomizing residues in direct contact with position 0 and in a loop that is close to but does not contact position 0. We used phage display to select for PDZ variants that bind to 19 peptide ligands differing only at position 0. To verify that each obtained PDZ domain exhibited the correct binding specificity, we selected peptide ligands for each domain. Despite intensive efforts, we were only able to evolve Erbin PDZ domain variants with selectivity for the aliphatic C-terminal side chains Val, Ile and Leu. Interestingly, many PDZ domains with these three distinct specificities contained identical amino acids at positions that directly contact position 0 but differed in the loop that does not contact position 0. Computational modeling of the selected PDZ domains shows how slight conformational changes in the loop region propagate to the binding site and result in different binding specificities. Our results demonstrate that second-sphere residues could be crucial in determining protein binding specificity.

Engineering and analysis of peptide-recognition domain specificities by phage display and deep sequencing.

Protein interaction networks depend in part on the specific recognition of unstructured peptides by folded domains. Understanding how members of a domain family use a similar fold to recognize different peptide sequences selectively is a fundamental question. One way to advance our understanding of peptide recognition is to apply an existing model of peptide recognition for a particular domain toward engineering synthetic domain variants with desired properties. Successes, failures, and unintended outcomes can help refine the model and can illuminate more general principles of peptide recognition. Using the PDZ domain fold as an example, we describe methods for (1) structure-based combinatorial library design and directed evolution of domain variants and (2) specificity profiling of large repertoires of synthetic variants using multiplexed deep sequencing. Peptide-binding preferences for hundreds of variants can be decoded in parallel, enabling comparisons between different library designs and selection pressures. The tremendous depth of coverage of the binding peptide profiles also permits robust computational analysis. This approach to studying peptide recognition can be applied to other domains and to a variety of structural and functional models by tailoring the combinatorial library design and selection pressures accordingly.