Next-generation sequencing is pivotal for diagnosing inborn errors of immunity (IEI) but predominantly yields variants of uncertain significance (VUS), creating clinical ambiguity. Activated PI3Kδ syndrome (APDS) is caused by gain-of-function (GOF) variants in PIK3CD or PIK3R1, which encode the PI3Kδ heterodimer. We performed massively parallel base editing of PIK3CD/PIK3R1 in human T cells and mapped thousands of variants to a clinically important readout (phospho-AKT/S6), nominating >100 VUS and unannotated variants for functional classification and validating 27 hits. Leniolisib, an FDA-approved PI3Kδ inhibitor, rescued aberrant signaling and dysfunction in GOF-harboring T cells and revealed partially drug-resistant PIK3R1 hotspots that responded to novel combination therapies of leniolisib with mTORC1/2 inhibition. We confirmed these findings in T cells from APDS patients spanning the functional spectrum discovered in the screen. Integrating our screens with population-level genomic studies revealed that APDS may be more prevalent than previously estimated. This work exemplifies a broadly applicable framework for removing ambiguity from sequencing in IEI.

Glutamatergic neuronal activity promotes proliferation of both oligodendrocyte precursor cells (OPCs) and gliomas, including diffuse midline glioma (DMG). However, the role of neuromodulatory brainstem neurons projecting to midline structures where DMGs arise remains unexplored. Here, we demonstrate that midbrain cholinergic neuronal activity modulates OPC and DMG proliferation in a circuit-dependent manner. Optogenetic stimulation of the cholinergic pedunculopontine nucleus (PPN) promotes glioma growth in pons, while stimulation of the laterodorsal tegmentum nucleus (LDT) drives proliferation in thalamus. DMG-bearing mice exhibit higher acetylcholine release and increased cholinergic neuronal activity over the disease course. In co-culture, cholinergic neurons enhance DMG proliferation, and acetylcholine directly acts on DMG cells. Single-cell RNA sequencing revealed high CHRM1 and CHRM3 expression in primary DMG samples. Pharmacological or genetic blockade of M1/M3 receptors abolished cholinergic activity-driven DMG proliferation. Taken together, these findings demonstrate that midbrain cholinergic long-range projections promote activity-dependent DMG growth, mirroring a parallel proliferative effect on healthy OPCs.

Developmental gene expression is regulated by the dynamic interplay of histone H3 lysine 4 (H3K4) and histone H3 lysine 27 (H3K27) methylation, yet the physiological roles of these epigenetic modifications remain incompletely understood. Here, we show that mice depleted for all forms of H3K4 methylation, using a dominant histone H3-lysine-4-to-methionine (H3K4M) mutation, succumb to a severe loss of all major blood cell types. H3K4M-expressing hematopoietic stem cells (HSCs) and committed progenitors are present at normal numbers, indicating that H3K4 methylation is dispensable for HSC maintenance and commitment but essential for progenitor cell maturation. Mechanistically, we reveal that H3K4 methylation opposes the deposition of repressive H3K27 methylation at differentiation-associated genes enriched for a bivalent (i.e., H3K4/H3K27-methylated) chromatin state in HSCs and progenitors. Indeed, by concomitantly suppressing H3K27 methylation in H3K4-methylation-depleted mice, we rescue the acute lethality, hematopoietic failure, and gene dysregulation. Our results provide functional evidence for the interaction between two crucial chromatin marks in mammalian tissue homeostasis.

Inflammation, aberrant proteostasis, and energy depletion are hallmarks of neurodegenerative diseases such as multiple sclerosis (MS). However, the interplay between inflammation, proteasomal dysfunction in neurons, and its consequences for neuronal integrity remains unclear. Using transcriptional, proteomic, and functional analyses of proteasomal subunits in inflamed neurons, we found that interferon-γ-mediated induction of the immunoproteasome subunit, proteasome 20S beta 8 (PSMB8) impairs the proteasomal balance, resulting in reduced proteasome activity. This reduction causes the accumulation of phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3), a key metabolic regulator, leading to enhanced neuronal glycolysis, reduced pentose phosphate pathway activity, oxidative injury, and ferroptosis. Neuron-specific genetic and systemic pharmacological targeting of PSMB8 or PFKFB3 protected neurons in vitro and in a mouse model of MS. Our findings provide a unifying explanation for proteasomal dysfunction in MS and possibly other neurodegenerative diseases, linking inflammation to metabolic disruption, and presenting an opportunity for targeted neuroprotective therapies.

Plant nucleotide-binding, leucine-rich repeat (NLR) immune receptors recognize pathogen effectors and activate defense. NLR genes can be non-functional in distantly related plants (restricted taxonomic functionality, RTF). Here, we enable Solanaceae NLR gene function in rice, soybean, and Arabidopsis by co-delivering sensor NLR genes with their cognate NLR required for cell death (NRC)-type helper NLRs. In soybean protoplasts and in Arabidopsis plants, Solanum americanum Rpi-amr1, Rpi-amr3, and pepper Bs2 sensor NLRs confer cognate effector responsiveness if co-expressed with NRC helper NLRs. Rice carrying pepper Bs2 and NRCs recognizes the conserved effector, AvrBs2, and resists an important pathogen, Xanthomonas oryzae pv. oryzicola, for which no resistance gene is available in rice. Rice lines carrying sensor and helper NLR genes otherwise resemble wild type, with unaltered basal resistance or field fitness. Thus, interfamily co-transfer of sensor and helper NLRs can broaden the utility of sensor NLRs, extending the tools available to control diseases of rice, soybean, Brassica, and other crops.

Single-cell RNA sequencing has revolutionized our understanding of cellular diversity but remains constrained by scalability, high costs, and the destruction of cells during analysis. To overcome these challenges, we developed STAMP (single-cell transcriptomics analysis and multimodal profiling), a highly scalable approach for the profiling of single cells. By leveraging transcriptomics and proteomics imaging platforms, STAMP eliminates sequencing costs, enabling cost-efficient single-cell genomics of millions of cells. Immobilizing (stamping) cells in suspension onto imaging slides, STAMP supports multimodal (RNA, protein, and H&E) profiling, while retaining cellular structure and morphology. We demonstrate STAMP's versatility by profiling peripheral blood mononuclear cells, cell lines, and stem cells. We highlight the capability of STAMP to identify ultra-rare cell populations, simulate clinical applications, and show its utility for large-scale perturbation studies. In total, we present data for 10,962,092 high-quality cells/nuclei and 6,030,429,954 transcripts. STAMP makes high-resolution cellular profiling more accessible, scalable, and affordable.

Recent outbreaks of multidrug-resistant fungi infecting human skin emphasize the importance of understanding fungal pathophysiology and spread. In efforts to address health concerns with various Indigenous Peninsular Malaysians (Orang Asli [OA]), tinea imbricata-a Trichophyton concentricum fungal skin infection-emerged as a particular concern. We investigated the etiology and transmission of tinea imbricata by culturing, testing antifungal sensitivities, and sequencing T. concentricum isolates in remote OA villages. Among regionally conserved isolates, we identified the emergence of terbinafine-resistant T. concentricum microbiologically and genomically. Investigating the skin microbiomes of 82 Indigenous OA, we found unique microbiota and lower relative abundances of bacterial commensals (Cutibacterium acnes, Staphylococcus epidermidis) among OA versus Malaysian and US urban populations, emphasizing how understudied populations provide unprecedented knowledge on host-microbiome co-evolution. These findings provide valuable insights into clinical, microbiological, and genomic features of chronic fungal skin infections, offering the potential to inform strategies to address drug resistance and effective therapy.

Microbial communities coat nearly every surface in the environment and have co-existed with animals throughout evolution. Whether animals exploit omnipresent microbial cues to navigate their surroundings is not well understood. Octopuses use "taste-by-touch" chemotactile receptors (CRs) to explore the seafloor, but how they distinguish meaningful surfaces from the rocks and crevices they encounter is unknown. Here, we report that secreted signals from microbiomes of ecologically relevant surfaces activate CRs to guide octopus behavior. Distinct molecules isolated from individual bacterial strains located on prey or eggs bind single CRs in subtly different structural conformations to elicit specific mechanisms of receptor activation, ion permeation and signal transduction, and maternal care and predation behavior. Thus, microbiomes on ecological surfaces act at the level of primary sensory receptors to inform behavior. Our study demonstrates that uncovering interkingdom interactions is essential to understanding how animal sensory systems evolved in a microbe-rich world.

Ants originated over 150 million years ago through an irreversible transition to superorganismal colony life. Comparative analyses of 163 ant genomes, including newly generated whole-genome sequences of 145 ant species, reveal extensive genome rearrangements correlated with speciation rates. Meanwhile, conserved syntenic blocks are enriched with co-expressed genes involved in basal metabolism and caste differentiation. Gene families related to digestion, endocrine signaling, cuticular hydrocarbon synthesis, and chemoreception expanded in the ant ancestor, while many caste-associated genes underwent positive selection in the formicoid ancestor. Elaborations and reductions of queen-worker dimorphism and other social traits left convergent signatures of intensified or relaxed selection in conserved signaling and metabolic pathways, suggesting that a core gene set was used to diversify organizational complexity. Previously uncharacterized genetic regulators of caste development were confirmed by functional experiments. This study reconstructs the genetic underpinning of social traits and their integration within gene-regulatory networks shaping caste phenotypes.

The hippocampus is crucial for memory. Memory consolidation is thought to be subserved by hippocampal "replays" of previously experienced trajectories. However, it is unknown how the brain replays long spatial trajectories in very large, naturalistic environments. Here, we investigated this in the hippocampus of bats that were flying prolonged flights in a 200-m-long tunnel. We found many time-compressed replay sequences during sleep and during awake pauses between flights, similar to rodents exploring small environments. Individual neurons fired multiple times per replay, according to their multiple place fields. Surprisingly, replays were highly fragmented, depicting short trajectory pieces covering only ∼6% of the environment size-unlike replays in small setups, which cover most of the environment. This fragmented replay may reflect biophysical or network constraints on replay distance and may facilitate memory chunking for hippocampal-neocortical communication. Overall, hippocampal replay in very large environments is radically different from classical notions of memory reactivation-carrying important implications for hippocampal network mechanisms in naturalistic, real-world environments.

When a material enters the body, it is immediately attacked by hundreds of proteins, organized into complex networks of binding interactions and reactions. How do such complex systems interact with a material, "deciding" whether to attack? We focus on the complement system of ∼40 blood proteins that bind microbes, nanoparticles, and medical devices, initiating inflammation. We show a sharp threshold for complement activation upon varying a fundamental material parameter, the surface density of potential complement attachment points. This sharp threshold manifests at scales spanning single nanoparticles to macroscale pathologies, shown here for diverse engineered and living materials. Computational models show these behaviors arise from a minimal subnetwork of complement, manifesting percolation-type critical transitions in the complement response. This criticality switch explains the "decision" of a complex signaling network to interact with a material.

Aging is characterized by a deterioration of stem cell function, but the feasibility of replenishing these cells to counteract aging remains poorly defined. Our study addresses this gap by developing senescence (seno)-resistant human mesenchymal progenitor cells (SRCs), genetically fortified to enhance cellular resilience. In a 44-week trial, we intravenously delivered SRCs to aged macaques, noting a systemic reduction in aging indicators, such as cellular senescence, chronic inflammation, and tissue degeneration, without any detected adverse effects. Notably, SRC treatment enhanced brain architecture and cognitive function and alleviated the reproductive system decline. The restorative effects of SRCs are partly attributed to their exosomes, which combat cellular senescence. This study provides initial evidence that genetically modified human mesenchymal progenitors can slow primate aging, highlighting the therapeutic potential of regenerative approaches in combating age-related health decline.

Metazoan life requires the coordinated activities of thousands of genes in spatially organized cell types. Understanding the basis of tissue function requires approaches to dissect the genetic control of diverse cellular and tissue phenotypes in vivo. Here, we present Perturb-Multimodal (Perturb-Multi), a paired imaging and sequencing method to construct large-scale, multimodal genotype-phenotype maps in tissues with pooled genetic perturbations. Using imaging, we identify perturbations in individual cells while simultaneously measuring their gene expression profiles and subcellular morphology. Using single-cell sequencing, we measure full transcriptomic responses to the same perturbations. We apply Perturb-Multi to study hundreds of genetic perturbations in the mouse liver. Our data suggest the genetic regulators and mechanisms underlying the dynamic control of hepatocyte zonation, the unfolded protein response, and steatosis. Perturb-Multi accelerates discoveries of the genetic basis of complex cell and tissue physiology and provides critical training data for emerging machine learning models of cellular function.

Using modern genomic tools, Feng et al. revisited Mendel's seven pea traits in a recent Nature study, uncovering the molecular genetic basis of all of them, including the three unresolved ones: pod color, pod shape, and flower position. Their work highlights the level of complexity provided by structural variation that could impact genes and their regulatory regions and thus influence the expression of plant traits. The authors demonstrate how revisiting foundational experiments with contemporary tools can manifest novel biological insights and also guide future crop improvement.

Understanding acute and long-term adverse events following CAR T cell therapy for cancer remains a crucial area of investigation as CAR T cells become more prominent in the clinic. In this issue of Cell, Geraghty and Acosta-Alvarez et al. investigate the mechanisms underlying cognitive decline in animal models following CAR T cell therapy for hematological, solid, and CNS malignancies.

Striatal dopamine plays fundamental roles in fine-tuning learned decisions. However, when learning from naive to expert, individuals often exhibit diverse learning trajectories, defying understanding of its underlying dopaminergic mechanisms. Here, we longitudinally measure and manipulate dorsal striatal dopamine signals in mice learning a decision task from naive to expert. Mice learning trajectories transitioned through sequences of strategies, showing substantial individual diversity. Remarkably, the transitions were systematic; each mouse's early strategy determined its strategy weeks later. Dopamine signals reflected strategies each animal transitioned through, encoding a subset of stimulus-choice associations. Optogenetic manipulations selectively updated these associations, leading to learning effects distinct from that of reward. A deep neural network using heterogeneous teaching signals, each updating a subset of network association weights, captured our results. Analyzing the model's fixed points explained learning diversity and systematicity. Altogether, this work provides insights into the biological and mathematical principles underlying individual long-term learning trajectories.

Cryptococcus neoformans is the most common cause of fungal meningitis and the top-ranking WHO fungal priority pathogen. Only distantly related to model fungi, C. neoformans is also a powerful experimental system for exploring conserved eukaryotic mechanisms lost from specialist model yeast lineages. To decipher its biology globally, we constructed 4,328 gene deletions and measured-with exceptional precision-the fitness of each mutant under 141 diverse growth-limiting in vitro conditions and during murine infection. We defined functional modules by clustering genes based on their phenotypic signatures. In-depth studies leveraged these data in two ways. First, we defined and investigated new components of key signaling pathways, which revealed metazoan-like cellular machinery not present in model yeasts. Second, we identified environmental adaptation mechanisms repurposed to promote mammalian virulence by C. neoformans, which lacks a known animal reservoir. Our work provides an unprecedented resource for deciphering a deadly human pathogen.

Social insects offer powerful models to investigate mechanisms of elaborate individual behaviors comprising a cooperative community. Workers of the leafcutter ant genus Atta are extreme examples of behavioral segregation among phenotypically distinct worker types. We utilize this worker system to test the molecular underpinnings of behavioral programming and the extent of plasticity to reprogramming. We identify specific neuropeptides mediating worker division of labor in A. cephalotes, finding two neuropeptides associated with characteristic behaviors of leaf cutting and of brood care. Genetic knockdown or injection of these neuropeptides led to a stark gain or loss of each behavior and to transcriptomic shifts toward gene pathways expressed in the natural castes. We also reveal global similarities between worker transcriptomes of the eusocial mammal, the naked mole-rat H. glaber, with orthologous A. cephalotes workers. This work underscores the essential function of neuropeptides in establishing complex social behavior and a remarkable plasticity among individual behavioral types.

Glioblastoma (GBM) is the most lethal of primary brain tumors. Here, we report our studies of MT-125, a small-molecule inhibitor of non-muscle myosin II. MT-125 has high brain penetrance and an excellent safety profile, blocks GBM invasion and cytokinesis, and prolongs survival in murine GBM models. By impairing mitochondrial fission, MT-125 increases redox stress and consequent DNA damage, and it synergizes with radiotherapy. MT-125 also induces oncogene addiction to PDGFR signaling through a mechanism that is driven by redox stress, and it synergizes with FDA-approved PDGFR and mTOR inhibitors in vitro. Consistent with this, we find that combining MT-125 with sunitinib, a PDGFR inhibitor, or paxalisib, a combined phosphatidylinositol 3-kinase (PI3K)/mTOR inhibitor, significantly improves survival in orthotopic GBM models over either drug alone. Our results demonstrate that MT-125 is a first-in-class therapeutic that has strong clinical potential for the treatment of GBM.