The rockefeller university

Myeloid cells-including monocytes, macrophages, dendritic cells, and granulocytes-are critical architects of the tumor microenvironment, in which they exert diverse functions ranging from immunosuppressive to immunostimulatory. Advances in single-cell omics and high-dimensional immune profiling have unveiled the remarkable heterogeneity and plasticity of these cells, revealing lineage-specialized functions that shape cancer immunity. These discoveries have sparked growing interest in therapeutically targeting myeloid cells as a next-generation strategy in cancer immunotherapy. As a complementary or alternative approach to T cell-centered immunotherapies, myeloid-directed therapies offer unique opportunities to reprogram the immune landscape, enhance antitumor responses, and overcome resistance mechanisms. In this review, we highlight recent discoveries in myeloid cell biology in cancer and discuss emerging therapeutic targets, with an emphasis on antibody-based therapies that have reached clinical development. We further provide perspective on translational challenges to implement these approaches into the clinic and discuss how Fc-engineering and rational antibody design can optimize myeloid cell engagement and amplify their immune effector functions. Together, these advances position myeloid-directed immunotherapies as a promising approach to enhance the efficacy and durability of cancer treatment.

The gut conveys nutritional, mechanical, and microbial signals to the brain to regulate physiology and behavior. Writing in Nature, Liu et al. reveal a colonic neuropod-vagus circuit that senses bacterial flagellin, highlighting microbial input as a rapid driver of feeding control and expanding paradigms of communication between the gut and the brain.

Mosquitoes, the world's deadliest animal, exemplify single-mating systems where females mate only once in their lifetime, making mate choice critically important for reproductive success and mosquito control. Despite this importance, the mechanisms behind mosquito mating and what prevents the female from mating again remain poorly understood. To address this gap, we developed a dual-color fluorescent sperm system in invasive Aedes aegypti mosquitoes and quantified mating patterns, confirming that 86%-96% of females mate only once. Using behavioral tracking of mating pairs, deep learning, and quantitative analysis at increasing resolution, we discovered that females actively control mating initiation through a previously undescribed behavior: genital tip elongation. This female response is triggered by rapidly evolving male genital structures, creating a lock-and-key mechanism that determines mating success. Comparative analysis revealed that Aedes albopictus, separated from Aedes aegypti by similar to 35 million years of evolution, employs a similar female-controlled system. Strikingly, we found that Aedes albopictus males bypass female control when attempting cross-species matings with Aedes aegypti females, but not with conspecific females. This "lock-picking" ability, combined with the known sterility induced by cross-species matings, could explain how Aedes albopictus competitively displaces Aedes aegypti populations in overlapping territories. Our findings redefine mosquito reproduction as a female-controlled process and establish a quantitative framework for investigating the molecular and neurobiological mechanisms underlying mating control and species competition in these globally important disease vectors.

The cellular basis of COVID-19 severity in patients with deficiencies in type I IFN immunity remains unclear. In this study, we differentiated cardiomyocytes and macrophages from IFNAR1 competent (IFNAR1comp) and deficient (IFNAR1def) induced pluripotent stem cells (iPSCs), and analyzed virus replication and cytokine production after exposure to SARS-CoV-2. Cardiomyocytes expressed the SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) and showed abundant SARS-CoV-2 replication, which was higher in IFNAR1def than IFNAR1comp cells. Treatment with exogenous IFN alpha mitigated infection in IFNAR1comp, but not in IFNAR1def cardiomyocytes. In contrast, macrophages did not express ACE2 and did not support SARS-CoV-2 replication, but produced pro-inflammatory cytokines upon virus exposure, which was impaired in IFNAR1def macrophages. In conclusion, type I IFNs decrease SARS-CoV-2 replication in human iPSC-derived cardiomyocytes, while they increase cytokine responses of macrophages.

Zika virus (ZIKV) is an emerging arbovirus, and its infection is often asymptomatic or mild; however, it can lead to severe neurological disorders. Currently, there are no approved treatments or vaccines for ZIKV, highlighting the urgent need to explore potential therapeutic options. In this study, we evaluated the antiviral activity of a novel synthetic peptide (GA-peptide) against ZIKV in vitro. The GA-peptide exhibited dose-dependent inhibition of the virus, affecting multiple stages of the ZIKV replication cycle. It demonstrated virucidal activity and effectively protected Vero cells from ZIKV infection. Additionally, the GA-peptide disrupted viral entry by targeting both the attachment and internalization phases, as well as post-entry stages of the infection. In silico analyses identified potential viral targets that interact with the GA-peptide. These findings underscore the GApeptide's promising potential as a therapeutic agent against ZIKV and its relevance in the development of new antiviral drugs.

Nuclear pore complexes (NPCs) enable rapid, selective, and robust nucleocytoplasmic transport. To explain how transport emerges from the system components and their interactions, we used experimental data and theoretical information to construct an integrative Brownian dynamics model of transport through an NPC, coupled to a kinetic model of transport in the cell. The model recapitulates key aspects of transport for a wide range of molecular cargoes, including preribosomes and viral capsids. Our model quantifies how flexible phenylalanine-glycine (FG) repeat proteins create an entropic barrier to passive diffusion and how this barrier is selectively lowered in facilitated diffusion by the many transient interactions of nuclear transport receptors with the FG repeats. Selective transport is enhanced by "fuzzy" multivalent interactions, redundant FG repeat mass, coupling to the energy-dependent RanGTP concentration gradient, and exponential dependence of transport kinetics on the transport barrier. Our model will facilitate rational modulation of the NPC and its artificial mimics.

Over the past decade, radio frequency (RF) sensing or radar has garnered great interest as an emerging modality to enable human-computer interaction via gesture recognition. Current approaches involve utilization of a radar system that transmits a fixed signal with predetermined frequency, bandwidth, and other waveform parameters. However, gesture recognition accuracy can be greatly impacted by radar transmission parameters, which affect computational load and performance. In this work, we introduce a human-centered, fully adaptive radar (HC-FAR) system for ambient gesture recognition in which a programmable, software-defined radar system dynamically changes its RF transmission in response to human behavior. We design and switch between different transmission modes for different human-computer interaction tasks-human presence detection, trigger detection, and command translation-as well as alter processing so as to minimize computational load. In this way, the proposed HC-FAR paradigm enables dynamic management of the tradeoffs between dimensionality of RF data representations and their resulting computational load with real-time classification accuracy. Our results show that HC-FAR significantly reduces the allocation of computational and spectral resources, while enhancing fine-grain gesture recognition via a joint domain multi-input deep neural network, which takes as input the RF micro-Doppler signature, range, and angle profile.