The Caucasus was a hub for cultural and technological innovation in prehistory, yet the population history between the Greater and Lesser Caucasus remains insufficiently understood. We present genome-wide data of 205 individuals from modern Georgia and 25 from Armenia, spanning the period from the Bronze Age (BA) to the "Migration Period" (c. 3500 BCE-700 CE). Our results reveal a persisting local gene pool that, during the Middle-Late BA, absorbed additional ancestry from Anatolia and the neighboring Eurasian Steppe. In subsequent periods, we document population growth and increasing genetic diversity, supported by a high rate of individual ancestry outliers, particularly in urban centers of eastern Georgia. Among 20 Medieval individuals with artificially deformed skulls, 15 were part of local mating networks and five derived ancestry from the Eurasian Steppe, suggesting that cranial modification arrived with nomadic groups but became a locally adopted cultural practice.

Embryo models offer opportunities for understanding development and advancing medicine but rely on intricate procedures with limitations in efficiency and developmental fidelity. Here, we employ a small-molecule-only approach to induce mouse embryonic stem cells into 8- to 16-cell-like embryo founder cells, enabling the generation of a complete embryo model. These founder cells specify all blastocyst lineages, both embryonic and extraembryonic, in vivo and in vitro. The embryo model made only from embryo founder cells faithfully recapitulates development through organogenesis. During gastrulation, it forms a primitive streak via epithelial-to-mesenchymal transition, generates the three germ layers, and develops an ectoplacental cone. The model proceeds to form 6-14 somite pairs, fore-/mid-/hindbrain, a looping heart tube, optic buds, allantois, tail bud, migrating primordial germ cells, and well-defined gut. Altogether, our system using embryo founder cells enables a direct, rapid, efficient, and accurate in vitro model of embryogenesis.

Despite the evolution of hardwired homeostatic mechanisms to balance food intake with energy needs, the obesity epidemic continues to escalate globally. However, recent breakthroughs in delineating the molecular signaling pathways by which neural circuits regulate consummatory behaviors, along with transformative advances in peptide-based pharmacotherapy, are fueling the development of a new generation of safe and effective treatments for obesity. Here, we outline our current understanding of how the central nervous system controls energy homeostasis and examine how emerging insights, including those related to neuroplasticity, offer new perspectives for restoring energy balance and achieving durable weight loss. Together, these advances provide promising avenues for treating obesity and managing cardiometabolic disease.

The COVID-19 pandemic highlighted the critical need for vaccine strategies capable of addressing emerging viral threats. Betacoronaviruses, including severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome (MERS), and SARS-CoV-2, present significant pandemic risks due to their zoonotic potential and genetic diversity. T cell-mediated immunity has demonstrated durable responses and strong cross-reactivity, offering a promising avenue for achieving broad immunity within a viral family. In this study, we combined comprehensive epitope mapping with sequence conservation analyses to identify conserved T cell epitope regions (CTERs), which constitute 12% of the complete SARS-CoV-2 proteome. We showed that SARS-CoV-2 CTER-specific T cells cross-reactively recognize sequences from multiple Betacoronavirus subgenera. Importantly, incorporating CTERs from non-spike proteins significantly enhanced T cell cross-reactivity potential and human leukocyte antigen (HLA) coverage compared with T cells targeting only spike proteins. Our findings lay the groundwork for a multi-antigen vaccine strategy that includes non-spike proteins to expand cross-reactive immunity across a broader spectrum of Betacoronaviruses.

The prime editing (PE) system consists of a Cas9 nickase fused to a reverse transcriptase, which introduces precise edits into the target genomic region guided by a PE guide RNA. However, PE efficiency is limited by mismatch repair. To overcome this limitation, transient expression of a dominant-negative MLH1 (MLH1dn) has been used to inhibit key components of mismatch repair. Here, we designed a de novo MLH1 small binder (MLH1-SB) that binds to the dimeric interface of MLH1 and PMS2 using RFdiffusion and AlphaFold 3. The compact size of MLH1-SB enabled its integration into existing PE architectures via 2A systems, creating a PE-SB platform. The PE7-SB2 system significantly improved PE efficiency, achieving an 18.8-fold increase over PEmax and a 2.5-fold increase over PE7 in HeLa cells, as well as a 3.4-fold increase over PE7 in mice. This study highlights the potential of generative AI in advancing genome editing technology.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline, yet its epigenetic underpinnings remain elusive. Here, we generate and integrate single-cell epigenomic and transcriptomic profiles of 3.5 million cells from 384 postmortem brain samples across 6 regions in 111 AD and control individuals. We identify over 1 million candidate cis-regulatory elements (cCREs), organized into 123 regulatory modules across 67 cell subtypes. We define large-scale epigenomic compartments and single-cell epigenomic information and delineate their dynamics in AD, revealing widespread epigenome relaxation and brain-region-specific and cell-type-specific epigenomic erosion signatures during AD progression. These epigenomic stability dynamics are closely associated with cell-type proportion changes, glial cell-state transitions, and coordinated epigenomic and transcriptomic dysregulation linked to AD pathology, cognitive impairment, and cognitive resilience. This study provides critical insights into AD progression and cognitive resilience, presenting a comprehensive single-cell multiomic atlas to advance the understanding of AD.

Interspecific hybridization may trigger species radiation by creating allele combinations and traits. Cultivated potato and its 107 wild relatives from the Petota lineage all share the distinctive trait of underground tubers, but the underlying mechanisms for tuberization and its relationship to extensive species diversification remain unclear. Through analyses of 128 genomes, including 88 haplotype-resolved genomes, we revealed that Petota is of ancient hybrid origin, with all members exhibiting stable mixed genomic ancestry, derived from the Etuberosum and Tomato lineages ca. 8-9 million years ago. Our functional experiments further validated the crucial roles of parental genes in tuberization, indicating that interspecific hybridization is a key driver of this innovative trait. This trait, along with the sorting and recombination of hybridization-derived polymorphisms, likely triggered the explosive species diversification of Petota by enabling occupation of broader ecological niches. These findings highlight how ancient hybridization fosters key innovation and drives subsequent species radiation.

Fermentation products released by the gut microbiota provide energy and regulatory functions to the host. Yet, little is known about the magnitude of this metabolic flux and its quantitative dependence on diet and microbiome composition. Here, we establish orthogonal approaches to consistently quantify this flux, integrating data on bacterial metabolism, digestive physiology, and metagenomics. From the nutrients fueling microbiota growth, most carbon ends up in fermentation products and is absorbed by the host. This harvest varies strongly with the amount of complex dietary carbohydrates and is largely independent of bacterial mucin and protein utilization. It covers 2%-5% of human energy demand for Western diets and up to 10% for non-Western diets. Microbiota composition has little impact on the total harvest but determines the amount of specific fermentation products. This consistent quantification of metabolic fluxes by our analysis framework is crucial to elucidate the gut microbiota's mechanistic functions in health and disease.

Bacteria and archaea deploy diverse antiviral defense systems, many of which remain mechanistically uncharacterized. Here, we characterize Kiwa, a widespread two-component system composed of the transmembrane sensor KwaA and the DNA-binding effector KwaB. Cryogenic electron microscopy (cryo-EM) analysis reveals that KwaA and KwaB assemble into a large, membrane-associated supercomplex. Upon phage binding, KwaA senses infection at the membrane, leading to KwaB binding of ejected phage DNA and inhibition of replication and late transcription, without inducing host cell death. Although KwaB can bind DNA independently, its antiviral activity requires association with KwaA, suggesting spatial or conformational regulation. We show that the phage-encoded DNA-mimic protein Gam directly binds and inhibits KwaB but that co-expression with the Gam-targeted RecBCD system restores protection by Kiwa. Our findings support a model in which Kiwa coordinates membrane-associated detection of phage infection with downstream DNA binding by its effector, forming a spatially coordinated antiviral mechanism.

Cells interact as dynamically evolving ecosystems. While recent single-cell and spatial multi-omics technologies quantify individual cell characteristics, predicting their evolution requires mathematical modeling. We propose a conceptual framework-a cell behavior hypothesis grammar-that uses natural language statements (cell rules) to create mathematical models. This enables systematic integration of biological knowledge and multi-omics data to generate in silico models, enabling virtual "thought experiments" that test and expand our understanding of multicellular systems and generate new testable hypotheses. This paper motivates and describes the grammar, offers a reference implementation, and demonstrates its use in developing both de novo mechanistic models and those informed by multi-omics data. We show its potential through examples in cancer and its broader applicability in simulating brain development. This approach bridges biological, clinical, and systems biology research for mathematical modeling at scale, allowing the community to predict emergent multicellular behavior.

Cerebrospinal fluid (CSF) flow is essential for brain homeostasis, and its disruption is implicated in neurodegenerative and neuroinflammatory diseases. Arachnoid cuff exit (ACE) points, anatomical discontinuities in the arachnoid mater around bridging veins, serve as key sites of CSF-dura exchange. Here, we show that dural mast cells regulate CSF dynamics at ACE points. Upon degranulation, mast cells release histamine, inducing vasodilation of bridging veins and reducing perivascular spaces critical for CSF drainage. During bacterial meningitis, pathogens exploit ACE points to access the brain. However, mast cell activation redirects CSF flow, recruits neutrophils, and limits bacterial invasion. Mice lacking dural mast cells exhibit impaired immune responses and higher brain bacterial loads. These findings reveal dural mast cells as central players in modulating CSF flow and meningeal immunity. Targeting mast cells or their mediators may enhance CNS clearance and defense mechanisms, offering a potential therapeutic avenue for brain infections.

The immune environment surrounding the brain plays a fundamental role in monitoring signs of injury. Insults, including ischemic stroke, can disrupt this balance and incite an exaggerated inflammatory response, yet the underlying mechanism remains unclear. Here, we show that the mast-cell-specific receptor Mrgprb2 regulates post-stroke brain inflammation from the meninges. Mrgprb2 causes meningeal mast cell degranulation after stroke, releasing immune mediators. This process recruits skull bone marrow neutrophils into the dura and further promotes neutrophil migration from the dura into the brain by cleaving the chemorepellent semaphorin 3a. We demonstrate that the human ortholog, MRGPRX2, is expressed in human meningeal mast cells and is activated by upregulation of the neuropeptide substance P following stroke. Pharmacologically inhibiting Mrgprb2 reduces post-stroke inflammation and improves neurological outcomes in mice, providing a druggable target. Collectively, our study identifies Mrgprb2 as a critical meningeal gatekeeper for immune migration from skull bone marrow reservoirs into the brain.

Cryptosporidium is a leading cause of diarrheal disease, yet little is known regarding the infection cell biology of this intracellular intestinal parasite. To this end, we implemented an arrayed genome-wide CRISPR-Cas9 knockout screen to microscopically analyze multiple phenotypic features of a Cryptosporidium infection following individual host gene ablation. We discovered parasite survival within the host epithelial cell hinges on squalene, an intermediate metabolite in the host cholesterol biosynthesis pathway. A buildup of squalene within intestinal epithelial cells creates a reducing environment, making more reduced glutathione available for parasite uptake. Remarkably, the Cryptosporidium parasite has lost the ability to synthesize glutathione and has become dependent on this host import. This dependency can be leveraged for treatment with the abandoned drug lapaquistat, an inhibitor of host squalene synthase that shifts the redox environment, blocking Cryptosporidium growth in vitro and in vivo.

RNA-binding proteins (RBPs) regulate all stages of the mRNA life cycle, yet current methods generally map RNA targets of RBPs one protein at a time. To overcome this limitation, we developed SPIDR (split-and-pool identification of RBP targets), a highly multiplexed split-pool method that profiles the binding sites of dozens of RBPs simultaneously. SPIDR identifies precise, single-nucleotide binding sites for diverse classes of RBPs. Using SPIDR, we uncovered an interaction between LARP1 and the 18S rRNA and resolved this interaction to the mRNA entry channel of the 40S ribosome using cryoelectron microscopy (cryo-EM), providing a potential mechanistic explanation for LARP1's role in translational suppression. We explored changes in RBP binding upon mTOR inhibition and identified that 4EBP1 preferentially associates with translationally repressed mRNAs upon mTOR inhibition. SPIDR has the potential to significantly advance our understanding of RNA biology by enabling rapid, de novo discovery of RNA-protein interactions at an unprecedented scale.

In cancer cachexia, the presence of a tumor triggers systemic metabolic disruption that leads to involuntary body weight loss and accelerated mortality in affected patients. Here, we conducted transcriptomic and epigenomic profiling of the liver in various weight-stable cancer and cancer cachexia models. An integrative multilevel analysis approach identified a distinct gene expression signature that included hepatocyte-secreted factors and the circadian clock component REV-ERBα as key modulator of hepatic transcriptional reprogramming in cancer cachexia. Notably, hepatocyte-specific genetic reconstitution of REV-ERBα in cachexia ameliorated peripheral tissue wasting. This improvement was associated with decreased levels of specific cachexia-controlled hepatocyte-secreted factors. These hepatokines promoted catabolism in multiple cell types and were elevated in cachectic cancer patients. Our findings reveal a mechanism by which the liver contributes to peripheral tissue wasting in cancer cachexia, offering perspectives for future therapeutic interventions.

Alternating hemiplegia of childhood (AHC) is a neurodevelopmental disorder with no disease-modifying treatment. Mutations in ATP1A3, encoding an Na+/K+ ATPase subunit, cause 70% of AHC cases. Here, we present prime editing (PE) and base editing (BE) strategies to correct ATP1A3 and Atp1a3 mutations in human cells and in two AHC mouse models. We used PE and BE to correct five prevalent ATP1A3 mutations with 43%-90% efficiency. AAV9-mediated in vivo PE corrects Atp1a3 D801N and E815K in the CNS of two AHC mouse models, yielding up to 48% DNA correction and 73% mRNA correction in bulk brain cortex. In vivo PE rescued clinically relevant phenotypes, including restoration of ATPase activity; amelioration of paroxysmal spells, motor defects, and cognition deficits; and dramatic extension of animal lifespan. This work suggests a potential one-time PE treatment for AHC and establishes the ability of PE to rescue a neurological disease in animals.

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by heterogeneous molecular changes across diverse cell types, posing significant challenges for treatment development. To address this, we introduced a cell-type-specific, multi-target drug discovery strategy grounded in human data and real-world evidence. This approach integrates single-cell transcriptomics, drug perturbation databases, and clinical records. Using this framework, letrozole and irinotecan were identified as a potential combination therapy, each targeting AD-related gene expression changes in neurons and glial cells, respectively. In an AD mouse model with both Aβ and tau deposits, this combination therapy significantly improved memory performance and reduced AD-related pathologies compared with vehicle and single-drug treatments. Single-nucleus transcriptomic analysis confirmed that the therapy reversed disease-associated gene networks in a cell-type-specific manner. These results highlight the promise of cell-type-directed combination therapies in addressing multifactorial diseases like AD and lay the groundwork for precision medicine tailored to patient-specific transcriptomic and clinical profiles.

Inflammation is an essential defense response but operates at the cost of normal tissue functions. Whether and how the negative impact of inflammation is monitored remains largely unknown. Acidification of the tissue microenvironment is associated with inflammation. Here, we investigated whether macrophages sense tissue acidification to adjust inflammatory responses. We found that acidic pH restructured the inflammatory response of macrophages in a gene-specific manner. We identified mammalian BRD4 as an intracellular pH sensor. Acidic pH disrupts transcription condensates containing BRD4 and MED1 via histidine-enriched intrinsically disordered regions. Crucially, a decrease in macrophage intracellular pH is necessary and sufficient to regulate transcriptional condensates in vitro and in vivo, acting as negative feedback to regulate the inflammatory response. Collectively, these findings uncovered a pH-dependent switch in transcriptional condensates that enables environment-dependent control of inflammation, with a broader implication for calibrating the magnitude and quality of inflammation by the inflammatory cost.

To meet the brain's moment-to-moment energy demand, neural activation rapidly increases local blood flow. This process, known as neurovascular coupling, involves rapid, coordinated vasodilation of the brain's arterial network. Here, we demonstrate that endothelial gap junction coupling enables long-range propagation of vasodilation signals through the vasculature during neurovascular coupling. The molecular composition of these gap junctions is zonated along the arterio-venous axis, with arteries being the most strongly coupled segment. Using optogenetics and visual stimuli in awake mice, we found that acute, arterial endothelial cell type-specific deletion of Cx37 and Cx40 abolishes arterial gap junction coupling and results in impaired vasodilation. Specifically, we demonstrated that arterial endothelial gap junction coupling determines both the speed and the spatial extent of vasodilation propagation elicited by neural activity. These findings indicate that endothelial gap junctions serve as a signaling highway for neurovascular coupling, enabling flexible and efficient distribution of limited energetic resources.