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Repurposing base editors for targeted knockin and simultaneous multiplex knockouts to generate allo-CAR T cells with minimal translocations
Kernel-Managed Shared Memory for System-Wide Personalization
KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning
Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
Sexual dimorphism in the complete Drosophila male central nervous system connectome
SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking
LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design
Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL
VEN-VL: A Visual Ensemble MoE Framework for Effective and Efficient Multi-Modal Understanding
A framework for building a synthetic cell from the SynCell Asia Initiative
Nature Biotechnology, Published online: 26 May 2026; doi:10.1038/s41587-026-03153-w
Building a living cell from scratch requires overcoming a bottleneck that has remained unresolved despite decades of progress: orchestrating the spatiotemporal integration of core functional modules. To tackle this barrier, the SynCell Asia Initiative outlines a strategy for developing core functional modules followed by their systems-level integration through the establishment of a centralized, artificial intelligence (AI)-driven biofoundry.Liver-specific <i>SIRT1</i> knockout-induced hyperglycemia promotes spontaneous lung adenocarcinomas through HSF1-MDM2
Oncogene, Published online: 24 May 2026; doi:10.1038/s41388-026-03826-5
Liver-specific SIRT1 knockout-induced hyperglycemia promotes spontaneous lung adenocarcinomas through HSF1-MDM2Integrating clinical and multiomics evidence based on disease module theory: deciphering the comorbidity network of psoriasis vulgaris via the Ising model for mechanistic insights
Front Immunol. 2026 Apr 14;17:1744789. doi: 10.3389/fimmu.2026.1744789. eCollection 2026.
ABSTRACT
Psoriasis vulgaris (PV), a chronic immune-mediated inflammatory dermatosis, is associated with a significant burden of systemic comorbidities. Traditional comorbidity research methods struggle to reveal its complex interconnectedness. Based on large-scale retrospective cohort data, we constructed a PV comorbidity network using the Ising model from statistical physics. Weighted network centrality analysis was used to identify core and hub nodes and elucidate shared molecular mechanisms at the multiomics level (nontargeted proteomics and lipid peroxidation metabolomics). Finally, the impact of IL-17A inhibition (IL-17Ai) on PV and atherosclerosis (assessed by carotid Doppler color ultrasound) was evaluated using a prospective intervention study. The Ising model identified atherosclerosis- coronary heart disease (CHD) as the core comorbidity (degree centrality >10), with pulmonary nodules, hypertension, and fatty liver serving as key hub nodes (betweenness centrality >60). Multiomics analysis revealed a core molecular mechanism in PV, involving immune inflammation, oxidative stress, lipid metabolism disorder, and coagulation abnormalities, where the oxidative stress molecule GPX3 acts as a critical hub. Following IL-17Ai intervention, both skin lesions and early atherosclerosis markers significantly improved, accompanied by downregulation of the proinflammatory peripheral blood factor S100A9 and upregulation of anti-inflammatory lipid peroxidation metabolites (e.g., 17(R)-RVD1). This study systematically revealed the modular hierarchical structure of PV comorbidities at the network topology and molecular mechanism levels, confirming the central role of the IL-17 signaling pathway in driving the comorbidity network. This conclusion was further clinically validated by IL-17Ai intervention outcomes. This research provides theoretical and clinical evidence for early identification, prioritized management, and "one drug, multiple targets" therapeutic strategies for treating PV comorbidities.
PMID:42058202 | PMC:PMC13121148 | DOI:10.3389/fimmu.2026.1744789
EBV strain interacts with host HLA to drive nasopharyngeal carcinoma risk
Nature, Published online: 15 April 2026; doi:10.1038/s41586-026-10416-8
A genome-to-genome association study identifies host and viral risk factors that interact to drive nasopharyngeal carcinoma endemicity in southern China.An activated wheat CCG10-NLR immune receptor forms an octameric resistosome
Sequence Display enables large-scale sequence–activity datasets for rapid protein evolution
Nature Biotechnology, Published online: 08 April 2026; doi:10.1038/s41587-026-03087-3
Sequence Display maps protein variant activities to a sequencing-based readout.3D-IDE: 3D Implicit Depth Emergent
TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Guided Optimization
ASTROREPOMICS: A curated transcriptomic database for reproductive biology in space
iScience. 2026 Mar 10;29(4):115309. doi: 10.1016/j.isci.2026.115309. eCollection 2026 Apr 17.
ABSTRACT
Spaceflight imposes substantial physiological stress on reproductive systems, yet relevant transcriptomic data remain fragmented across repositories. To address this need, we developed ASTROREPOMICS, a web-based platform that integrates 17 rigorously normalized and batch-corrected transcriptomic datasets spanning multiple species and reproductive tissues. The platform supports reproducible cross-study and cross-species analyses through standardized metadata and an intuitive user interface. We highlight its utility through two example analyses: (1) irradiated mouse sperm exhibited suppression of RNA splicing and protein-processing pathways alongside activation of interferon- and GPCR-associated programs; and (2) a multi-species intersected-DEG assessment between irradiated rat mammary tissue and microgravity-exposed zebrafish embryos uncovered conserved signatures involving RNA metabolism, cytokine signaling, and angiogenesis. By consolidating dispersed datasets and offering tailored analytical capabilities, ASTROREPOMICS provides a centralized resource for hypothesis generation and strengthens the research infrastructure needed to advance reproductive health studies in space, supporting long-term efforts to safeguard fertility during deep-space exploration.
PMID:41940322 | PMC:PMC13049440 | DOI:10.1016/j.isci.2026.115309