Pattontarp6160

Therapeutic monoclonal antibodies have transformed medicine, especially with regards to treating cancers and disorders of the immune system. More than 50 antibody-derived drugs have already reached the clinic, the majority of which target cytokines or cell-surface receptors. Unfortunately, many of these targets have pleiotropic functions they serve multiple different roles, and often not all of these roles are disease-related. This can be problematic because antibodies act throughout the body, and systemic neutralization of such targets can lead to safety concerns. To address this, we have developed a strategy whereby an antibody's ability to recognize its antigen is modulated by a second layer of control, relying on addition of an exogenous small molecule. In previous studies, we began to explore this idea by introducing a deactivating tryptophan-to-glycine mutation in the domain-domain interface of a single-chain variable fragment (scFv), and then restoring activity by adding back indole to fit the designed© 2020 American Chemical Society.Adoptive transfer of immune cells is being actively pursued for cancer treatment. Natural killer (NK) cells, a class of cytotoxic immune cells, generally lack inherent selectivities toward cancer. To bestow tumor-targeting abilities and enhance anticancer efficacy, a new strategy is established to glycoengineer NK cells. Carbohydrate-based ligands for CD22, a marker for B cell lymphoma, are introduced onto NK cells through either metabolic engineering or glyco-polymer insertion. Such NK cells exhibited greatly enhanced cytotoxicities toward CD22+ lymphoma cells in a CD22-dependent manner. Importantly, both CD22+ lymphoma cell lines and primary lymphoma cells from human cancer patients can be effectively killed by the engineered NK cells. Furthermore, glycoengineered NK cells provided significant protection to tumor-bearing mice. Thus, NK cell glycoengineering is an exciting new approach for cancer treatment complementing the current immune cell genetic engineering strategy. Copyright © 2020 American Chemical Society.Macrocyclic peptides represent attractive scaffolds for targeting protein-protein interactions, making methods for the diversification and functional selection of these molecules highly valuable for molecular discovery purposes. Here, we report the development of a novel strategy for the generation and high-throughput screening of combinatorial libraries of macrocyclic peptides constrained by a nonreducible thioether bridge. In this system, spontaneous, posttranslational peptide cyclization by means of a cysteine-reactive noncanonical amino acid was integrated with M13 bacteriophage display, enabling the creation of genetically encoded macrocyclic peptide libraries displayed on phage particles. This platform, named MOrPH-PhD, was successfully applied to produce and screen 105- to 108-member libraries of peptide macrocycles against three different protein targets, resulting in the discovery of a high-affinity binder for streptavidin (K D 20 nM) and potent inhibitors of the therapeutically relevant proteins Kelch-like ECH-associated protein 1 (K D 40 nM) and Sonic Hedgehog (K D 550 nM). This work introduces and validates an efficient and general platform for the discovery and evolution of functional, conformationally constrained macrocyclic peptides useful for targeting proteins and protein-mediated interactions. Copyright © 2020 American Chemical Society.Sequence-defined nucleic acids and proteins with internal monomer sequences and arrangement are vital components in the living world, as a result of billions of years of molecular evolution. These natural hierarchical systems have inspired researchers to develop artificial hierarchical materials that can mimic similar functions such as replication, recognition, and information storage. In this Outlook, we describe the conceptual introduction of hierarchy into the design of metal-organic framework (MOF) materials. Starting with a history and background of hierarchical MOF synthesis and applications, we discuss further mesoscopic assembly strategies of MOF crystallites into hierarchical primary, secondary, tertiary, and quaternary architectures. This is followed by a highlight of the utilization of modular total synthesis for crafting MOFs with hierarchical compositions. The multiscale control over hierarchical MOF architecture formation can be rationally achieved by designing stepwise synthetic routes based on the knowledge from various fields including coordination chemistry, organic chemistry, reticular chemistry, and nanoscience. Altogether, this outlook is expected to shed light on these essential but embryonic materials and might offer inspiration for the development of the next generation of smart MOF materials with controllable heterogeneity and tailorable architectures. Copyright © 2020 American Chemical Society.Artificial molecular machines have captured the imagination of scientists and nonscientists alike for decades now, given their clear potential to transform and enhance all aspects of human life. In this Outlook, I use a bicycle as an analogy to explain what a molecular machine is, in my opinion, and work through a representative selection of case studies to specify the significant accomplishments made to date, and the obstacles that currently stand between these and the field's fulfillment of its great potential. The hope of this intentionally sober account is to sketch a path toward a rich and exciting research trajectory that might challenge current practitioners and attract junior scientists into its fold. Considering the progress we have witnessed in the past decade, I am positive that the future of the field is a rosy one. Copyright © 2020 American Chemical Society.The following fictional case is intended as a learning tool within the Pathology Competencies for Medical Education (PCME), a set of national standards for teaching pathology. These are divided into three basic competencies Disease Mechanisms and Processes, Organ System Pathology, and Diagnostic Medicine and Therapeutic Pathology. click here For additional information, and a full list of learning objectives for all three competencies, see http//journals.sagepub.com/doi/10.1177/2374289517715040.1. © The Author(s) 2020.