The rockefeller university

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.

Mosaic loss of the Y chromosome (mLOY) is the most common somatic event in men, strongly associated with aging and various health conditions. Current methods for detecting mLOY primarily rely on DNA genotyping arrays. Here, we present MosCoverY, a method for estimating mLOY from exome or whole-genome sequencing data. MosCoverY addresses the challenges posed by the structure of the Y chromosome by focusing on single-copy genes and normalizing their coverage against autosomal exons matched by length and GC content. We validated it using data from 212,062 male participants in the UK Biobank, comparing the results to those obtained using genotyping-or whole-genome-sequencing-based methods. MosCoverY identified mLOY in 5.6% of men, demonstrating performance that was comparable to the other methods. We validated our approach by replicating known mLOY associations with age, smoking, all-cause mortality, and germline genetic loci. We further confirmed the robustness of our method at lower sequencing depth and demonstrated its applicability in single-sample analysis. Finally, we used data from The Cancer Genome Atlas to demonstrate that MosCoverY can also reliably detect variable mLOY in tumoral genomes. MosCoverY offers a valuable tool for detecting mLOY from exome or genome data in population-scale studies.

Background: Vitiligo is a chronic autoimmune skin depigmenting disorder, with a major impact on quality of life. Therapeutic options are still limited, with only one topical JAK inhibitor being approved by the US Food and Drug Administration. Although vitiligo is primarily regarded as a TH1/interferon-driven disease, emerging evidence suggests the involvement of additional immune axes, but their relevance to disease pathogenesis remains unclear. Objective: We sought to obtain a global cutaneous transcriptomic profile of lesional and nonlesional vitiligo. Methods: We performed bulk RNA sequencing combined with real-time PCR and immunohistochemistry of skin biopsy samples from 15 lesional and nonlesional vitiligo samples and compared them to 14 matched healthy controls. Results were corroborated by single-cell RNA sequencing. Results: Robust inflammatory dysregulation was captured not only in lesional but also nonlesional vitiligo skin relative to healthy controls. Lesional samples demonstrated upregulation of TH1 (OASL, CXCL9, CXCL10), TH2 (IL4, IL4R, CCL13, CCL17, CCL22, CCL26), and TH17/22 (IL20, S100A7, S100A8, S100A9, PI3) related markers. Similarly, nonlesional samples demonstrated activation of TH1 (CXCL9, OASL), TH2 (IL4R, IL10, CCL13, CCL17, CCL22), and TH17/22 (PI3, DEFB4A) associated markers. Clinical severity scores (Vitiligo Area Scoring Index and/or Vitiligo Disease Activity Index) significantly and positively correlated with multiple inflammatory mediators (ie, CXCL14, IL25, IL17RC) in lesional and/or nonlesional vitiligo skin. On a single-cell level, IL13 and IFNG expression were primarily found in nonlesional helper T cells and in lesional proliferating T cells, respectively. Conclusions: Our findings show that immune dysregulation in vitiligo involves immune axes beyond TH1/Tc1, with particular upregulation of type 2 markers already observed in nonlesional skin, suggesting a role during early lesion formation. (J Allergy Clin Immunol 2025;156:993-1007.)

T helper cell subsets-Th1, Th2, and Th17-coordinate pathogen-specific immune responses. Candida albicans-specific T cells include protective Th17 cells alongside other Th subsets. However, the role of alternative Th subsets remains unclear, particularly in individuals with impaired Th17 responses and recurrent candidiasis. Here, we show that patients with STAT1 gain-of-function mutations and chronic mucocutaneous candidiasis have a numerically normal but functionally altered pool of C. albicans-specific Th cells, skewed toward Th1 and Th2. This imbalance persisted even when assessing responses to the known and the newly identified immunodominant C. albicans antigens MP65 (65-kilodalton mannoprotein), HYR1 (hyphally regulated cell wall protein 1), and SAP4-6 (secreted aspartic proteinases 4-6), suggesting that antigen recognition and priming remain intact despite qualitative defects in T cell polarization. Using mucosal infection mouse models, we demonstrate that C. albicans-specific transgenic Th17 cells are sufficient to control infection, whereas Th1 and Th2 cells fail to protect, even in high numbers. Moreover, co-transfer of Th2 cells with Th17 cells impaired fungal control via an IL-4-dependent mechanism. These findings highlight the essential role of Th17 cells in protective immunity against C. albicans and reveal that non-Th17 responses are ineffective and may contribute to susceptibility in both humans and mice.

BackgroundHybrid effectiveness-implementation designs evaluate the effectiveness and implementation of interventions. We retrospectively evaluated the implementation of a stepped-wedge cluster randomized controlled trial of a facilitated telemedicine model (experimental) integrated into opioid treatment programs (OTPs) compared to offsite referral (control) for hepatitis C virus (HCV) treatment. The trial period was March 2017-October 2022. We compared organizational and implementation characteristics associated with an HCV cure and with high satisfaction with healthcare delivery.MethodsWe used the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework to guide data collection and evaluation. We evaluated the clinical effectiveness outcome (HCV cure) and patient-centered outcomes (changes between in-person and telemedicine patient satisfaction questionnaire subscales: Time Spent With Doctor and General Satisfaction). We evaluated 7 organizational and 16 implementation variables. We used random forests to obtain a list of variables with total importance weight of at least 95%. We subsequently conducted a configurational comparative method of coincidence analysis (CNA) to identify the variable combinations that are associated with the best outcomes.ResultsThe effectiveness of reach was enhanced by site identification of HCV RNA positive individuals. We found that low patient load per provider or counselor, site liaison presence, and high case manager availability increased clinical effectiveness (i.e., HCV cure). Adoption and implementation, assessed by high healthcare delivery satisfaction among participants in both arms, was associated with site liaisons, frequent case manager onsite presence and consistency, and low provider patient volume. Among telemedicine participants, onsite notifications and provider involvement in recruitment were additional variables associated with high healthcare satisfaction. In referral, providing patient education, low counselor patient volume, case manager involvement in site activities, and high case manager education levels were additional variables associated with high healthcare delivery satisfaction. Intervention maintenance has occurred at 10 sites.ConclusionsCompared to referral, facilitated telemedicine requires fewer variables for high effectiveness and patient satisfaction. The frequent onsite presence and consistency of the case manager and low provider and counselor volumes improved outcomes among both approaches. Improved outcomes among referral participants required more publicity, patient education, higher case manager education, more involvement in site activities, and occurred in university-affiliated sites.Trial registrationClintrials.gov registration number NCT02933970; Comparison of Telemedicine to Usual Care for HCV Management for Methadone-maintained Individuals Full Text View ClinicalTrials.gov.

BackgroundRed mullet (Mullus barbatus) is a key species in Mediterranean fisheries, yet its stock structure and population dynamics remain poorly understood due to a lack of comprehensive genomic resources. This study provides the first high-quality reference genome for M. barbatus and a comprehensive set of SNP markers to investigate its population structure and adaptive potential across the Mediterranean.ResultsUsing the newly generated chromosome-level reference genome, we re-analyzed a Mediterranean-wide reduced-representation genomic dataset. Our analysis reveals a panmictic population structure with strong genetic connectivity across the species' range, likely driven by extensive larval dispersal and multigenerational gene flow. Despite minimal genome-wide differentiation, outlier analysis identified candidate loci under directional selection, linked to key biological processes such as ontogeny and environmental adaptation.ConclusionsThis study presents the first genomic resource for M. barbatus, providing valuable insights into its genetic structure and adaptive mechanisms. While the identification of loci under selection offers promising leads, these findings are preliminary due to the limited genomic coverage of the dataset. Nonetheless, they pave the way for future genomic studies to explore how M. barbatus adapts to environmental and anthropogenic pressures. These results hold significant implications for the sustainable management of Mediterranean fisheries, especially in the context of climate change and conservation.

Juvenile hormones (JH) regulate insect development, reproduction, and behavior. The JH analog Methoprene, widely used in pest control, disrupts these processes by inhibiting maturation rather than causing mortality. Beyond its physiological effects, Methoprene influences insect behavior, including mate choice, social organization, and foraging, by altering neuronal sensitivity and gene expression via the Methoprene-tolerant receptor. These behavioral disruptions may negatively impact insect populations, including pollinators like honeybees. While laboratory studies highlight Methoprene's behavioral consequences, field research is needed to assess its ecological effects. Understanding these broader impacts is crucial for evaluating the risks associated with JH-based pest control strategies.

CD40 agonism enhances antitumor immunity but is limited by systemic toxicity and poor efficacy. Here, we present a phase 1 study (NCT04059588) of intratumoral (i.t.) 2141-V11, an Fc-engineered anti-CD40 agonistic antibody with enhanced binding to the inhibitory receptor Fc gamma RIIB. Among 12 metastatic cancer patients, 2141-V11 was well tolerated without dose-limiting toxicities. Six patients experienced tumor reduction, including two complete responses in melanoma and breast cancer. 2141-V11 induced regression in injected and non-injected lesions, correlating with systemic CD8+T cell activation and mature tertiary lymphoid structures (TLSs) in complete responders. In CD40/Fc gamma Rs humanized mice bearing orthotopic tumors, i.t. 2141-V11 promoted de novo TLS formation, facilitating i.t. CD8+ T cell effector responses independent of lymph node priming. The resulting local immune responses by 2141-V11 mediated abscopal antitumor effects and sustained immune memory. These findings demonstrate that i.t. 2141-V11 is safe and promotes immune-privileged tumor microenvironments that promote systemic and durable antitumor immunity.

In the host-pathogen arms race, herpesviruses and poxviruses encode proteins that sabotage the transporter associated with antigen processing (TAP), thereby suppressing MHC-I antigen presentation and enabling lifelong infection. Of the five known viral TAP inhibitors, only the herpes simplex virus (HSV) protein ICP47 has been structurally resolved. We now report cryoelectron microscopy structures of TAP in complex with the remaining four: BNLF2a (Epstein-Barr virus), hUS6 (human cytomegalovirus), bUL49.5 (bovine herpesvirus 1), and CPXV012 (cowpox virus), assembling a structural atlas of viral TAP evasion. Despite employing divergent sequences, folds, and conformational targets, these viral inhibitors converge on a common strategy: they stall TAP from the alternating access cycle, precluding peptide entry into the ER and shielding infected cells from cytotoxic T cell surveillance. These findings reveal striking functional convergence and provide a structural framework for rational antiviral design.