Major progress has been made in elucidating the molecular, cellular, and supracellular mechanisms underlying aging. This has spurred the birth of geroscience, which aims to identify actionable hallmarks of aging. Aging can be viewed as a process that is promoted by overactivation of gerogenes, i.e., genes and molecular pathways that favor biological aging, and alternatively slowed down by gerosuppressors, much as cancers are caused by the activation of oncogenes and prevented by tumor suppressors. Such gerogenes and gerosuppressors are often associated with age-related diseases in human population studies but also offer targets for modeling age-related diseases in animal models and treating or preventing such diseases in humans. Gerogenes and gerosuppressors interact with environmental, behavioral, and psychological risk factors to determine the heterogeneous trajectory of biological aging and disease manifestation. New molecular profiling technologies enable the characterization of gerogenic and gerosuppressive pathways, which serve as biomarkers of aging, hence inaugurating the era of precision geromedicine. It is anticipated that, pending results from randomized clinical trials and regulatory approval, gerotherapeutics will be tailored to each person based on their genetic profile, high-dimensional omics-based biomarkers of aging, clinical and digital biomarkers of aging, psychosocial profile, and past or present exposures.

Mycobacteriophage Bxb1 is a well-characterized virus of Mycobacterium smegmatis with double-stranded DNA and a long, flexible tail. Mycobacteriophages show considerable potential as therapies for Mycobacterium infections, but little is known about the structural details of these phages or how they bind to and traverse the complex Mycobacterium cell wall. Here, we report the complete structure and atomic model of phage Bxb1, including the arrangement of immunodominant domains of both the capsid and tail tube subunits, as well as the assembly of the protein subunits in the tail-tip complex. The structure contains protein assemblies with 3-, 5-, 6-, and 12-fold symmetries, which interact to satisfy several symmetry mismatches. Cryoelectron tomography of phage particles bound to M. smegmatis reveals the structural transitions that occur for free phage particles to bind to the cell surface and navigate through the cell wall to enable DNA transfer into the cytoplasm.

Microbiota-derived bile acids (BAs) are associated with host biology/disease, yet their causal effects remain largely undefined. Herein, we speculate that characterizing previously undefined microbiota-derived BAs would uncover previously unknown BA-sensing receptors and their biological functions. We integrated BA metabolomics and microbial genetics to functionally profile >200 putative microbiota BA metabolic genes. We identified 56 less-characterized BAs, many of which are detected in humans/mammals. Notably, a subset of these BAs are potent antagonists of the human androgen receptor (hAR). They inhibit AR-related gene expression and are human-relevant. As a proof-of-principle, we demonstrate that one of these BAs suppresses tumor progression and potentiates the efficacy of anti-PD-1 treatment in an AR-dependent manner. Our findings show that an approach combining bioinformatics, BA metabolomics, and microbial genetics can expand our knowledge of the microbiota metabolic potential and reveal an unexpected microbiota BA-AR interaction and its role in regulating host biology.

How developmental signals program gene expression in space and time is still poorly understood. Here, we addressed this question for the plant master regulator, auxin. Transcriptional responses to auxin rely on a large multigenic transcription factor family, the auxin response factors (ARFs). We deconvoluted the complexity of ARF-regulated transcription using auxin-inducible synthetic promoters built from cis-element pair configurations differentially bound by ARFs. We demonstrate using cellular systems that ARF transcriptional properties are not only intrinsic but also depend on the cis-element pair configurations they bind to, thus identifying a bi-layer ARF/cis-element transcriptional code. Auxin-inducible synthetic promoters were expressed differentially in planta showing at single-cell resolution how this bi-layer code patterns transcriptional responses to auxin. Combining cis-element pair configurations in synthetic promoters created distinct patterns, demonstrating the combinatorial power of the auxin bi-layer code in generating diverse gene expression patterns that are not simply a direct translation of auxin distribution.

Polyglutamine (polyQ) expansion is associated with pathogenic protein aggregation in neurodegenerative disorders. However, long polyQ tracts are also found in many transcription factors (TFs), such as FOXP2, a TF implicated in human speech. Here, we explore how FOXP2 and other glutamine-rich TFs avoid unscheduled assembly. Throughout interphase, DNA binding, irrespective of sequence specificity, has a solubilizing effect. During mitosis, multiple phosphorylation events promote FOXP2's eviction from chromatin and supplant the solubilizing function of DNA. Further, human-specific amino acid substitutions linked to the evolution of speech map to a mitotic phospho-patch, the "EVO patch," and reduce the propensity of the human FOXP2 to assemble. Fusing the pathogenic form of Huntingtin to either a DNA-binding domain, a phosphomimetic variant of this EVO patch, or a negatively charged peptide is sufficient to diminish assembly formation, suggesting that hijacking mechanisms governing solubility of glutamine-rich TFs may offer new strategies for treatment of polyQ expansion diseases.

Ferroptosis is a form of cell death due to iron-induced lipid peroxidation. Ferroptosis suppressor protein 1 (FSP1) protects against this death by generating antioxidants, which requires nicotinamide adenine dinucleotide, reduced form (NADH) as a cofactor. We initially uncover that NADH exists at significant levels on cellular membranes and then find that this form of NADH is generated by aldehyde dehydrogenase 7A1 (ALDH7A1) to support FSP1 activity. ALDH7A1 activity also acts directly to decrease lipid peroxidation by consuming reactive aldehydes. Furthermore, ALDH7A1 promotes the membrane recruitment of FSP1, which is instigated by ferroptotic stress activating AMP-activated protein kinase (AMPK) to promote the membrane localization of ALDH7A1 that stabilizes FSP1 on membranes. These findings advance a fundamental understanding of NADH by revealing a previously unappreciated pool on cellular membranes, with the elucidation of its function providing a major understanding of how FSP1 acts and how an aldehyde dehydrogenase protects against ferroptosis.

We investigate the impact of germline variants on cancer patients' proteomes, encompassing 1,064 individuals across 10 cancer types. We introduced an approach, "precision peptidomics," mapping 337,469 coding germline variants onto peptides from patients' mass spectrometry data, revealing their potential impact on post-translational modifications, protein stability, allele-specific expression, and protein structure by leveraging the relevant protein databases. We identified rare pathogenic and common germline variants in cancer genes potentially affecting proteomic features, including variants altering protein abundance and structure and variants in kinases (ERBB2 and MAP2K2) impacting phosphorylation. Precision peptidome analysis predicted destabilizing events in signal-regulatory protein alpha (SIRPA) and glial fibrillary acid protein (GFAP), relevant to immunomodulation and glioblastoma diagnostics, respectively. Genome-wide association studies identified quantitative trait loci for gene expression and protein levels, spanning millions of SNPs and thousands of proteins. Polygenic risk scores correlated with distal effects from risk variants. Our findings emphasize the contribution of germline genetics to cancer heterogeneity and high-throughput precision peptidomics.

Self-pollination in self-compatible plant species often occurs prior to flower opening. By tracking the temporal progress of pollination in Arabidopsis, we observed that pollen predominantly targets the lateral region of the stigma in unopened flowers. Notably, approximately 7 h after flower opening, flowers close, thereby pressing anthers toward the central region of the stigma for a second self-pollination. This two-step self-pollination results in a doubling of pollen deposition, which significantly increases the ovule-targeting ratio and improves fertility under pollen-limiting conditions, as evident in the anther-dehiscence-defective mutant myb108 and under environmental stress conditions. Analysis using gamete-interaction-defective mutants hap2/gcs1 and dmp8 dmp9 revealed that the timely separation of both pollination events promotes fertilization recovery efficiency. A similar two-step pollination was observed in two other self-pollinating but not in outcrossing Brassicaceae species. This mechanism represents a reproductive assurance strategy in predominantly self-pollinating annuals to maximize fertility under unfavorable conditions.

With rapid advancements in single-cell RNA sequencing (scRNA-seq) technologies, exploration of the systemic coordination of critical physiological processes has entered a new era. Here, we generated a comprehensive Arabidopsis single-nucleus transcriptomic atlas using over 1 million nuclei from 20 tissues encompassing multiple developmental stages. Our analyses identified cell types that have not been characterized in previous single-protoplast studies and revealed cell-type conservation and specificity across different organs. Through time-resolved sampling, we revealed highly coordinated onset and progression of senescence among the major leaf cell types. We originally formulated two molecular indexes to quantify the aging state of leaf cells at single-cell resolution. Additionally, facilitated by weighted gene co-expression network analysis, we identified hundreds of promising hub genes that may integratively regulate leaf senescence. Inspired by the functional validation of identified hub genes, we built a systemic scenario of carbon and nitrogen allocation among different cell types from source leaves to sink organs.

Chimeric antigen receptor (CAR) T cell immunotherapy represents a breakthrough in the treatment of hematological malignancies, but poor specificity has limited its applicability to solid tumors. By contrast, natural T cells harboring T cell receptors (TCRs) can discriminate between neoantigen-expressing cancer cells and self-antigen-expressing healthy tissues but have limited potency against tumors. We used a high-throughput platform to systematically evaluate the impact of co-expressing a TCR and CAR on the same CAR T cell. While strong TCR-antigen interactions enhanced CAR activation, weak TCR-antigen interactions actively antagonized their activation. Mathematical modeling captured this TCR-CAR crosstalk in CAR T cells, allowing us to engineer dual TCR/CAR T cells targeting neoantigens (HHATL8F/p53R175H) and human epithelial growth factor receptor 2 (HER2) ligands, respectively. These T cells exhibited superior anti-cancer activity and minimal toxicity against healthy tissue compared with conventional CAR T cells in a humanized solid tumor mouse model. Harnessing pre-existing inhibitory crosstalk between receptors, therefore, paves the way for the design of more precise cancer immunotherapies.

Diverse microbes utilize redox shuttles to exchange electrons with their environment through mediated extracellular electron transfer (EET), supporting anaerobic survival. Although mediated EET has been leveraged for bioelectrocatalysis for decades, fundamental questions remain about how these redox shuttles are reduced within cells and their role in cellular bioenergetics. Here, we integrate genome editing, electrochemistry, and systems biology to investigate the mechanism and bioenergetics of mediated EET in Escherichia coli, elusive for over two decades. In the absence of alternative electron sinks, the redox cycling of 2-hydroxy-1,4-naphthoquinone (HNQ) via the cytoplasmic nitroreductases NfsB and NfsA enables E. coli respiration on an extracellular electrode. E. coli also exhibits rapid genetic adaptation in the outer membrane porin OmpC, enhancing HNQ-mediated EET levels coupled to growth. This work demonstrates that E. coli can grow independently of classic electron transport chains and fermentation, unveiling a potentially widespread new type of anaerobic energy metabolism.

N4-methylcytosine (4mC) is an important DNA modification in prokaryotes, but its relevance and even its presence in eukaryotes have been mysterious. Here we show that spermatogenesis in the liverwort Marchantia polymorpha involves two waves of extensive DNA methylation reprogramming. First, 5-methylcytosine (5mC) expands from transposons to the entire genome. Notably, the second wave installs 4mC throughout genic regions, covering over 50% of CG sites in sperm. 4mC requires a methyltransferase (MpDN4MT1a) that is specifically expressed during late spermiogenesis. Deletion of MpDN4MT1a alters the sperm transcriptome, causes sperm swimming and fertility defects, and impairs post-fertilization development. Our results reveal extensive 4mC in a eukaryote, identify a family of eukaryotic methyltransferases, and elucidate the biological functions of 4mC in reproductive development, thereby expanding the repertoire of functional eukaryotic DNA modifications.

Advanced gene editing methods have accelerated biomedical discovery and hold great therapeutic promise, but safe and efficient delivery of gene editors remains challenging. In this study, we present a virus-like particle (VLP) system featuring nucleocytosolic shuttling vehicles that retrieve pre-assembled Cas-effectors via aptamer-tagged guide RNAs. This approach ensures preferential loading of fully assembled editor ribonucleoproteins (RNPs) and enhances the efficacy of prime editing, base editing, trans-activators, and nuclease activity coupled to homology-directed repair in multiple immortalized, primary, stem cell, and stem-cell-derived cell types. We also achieve additional protection of inherently unstable prime editing guide RNAs (pegRNAs) by shielding the 3'-exposed end with Csy4/Cas6f, further enhancing editing performance. Furthermore, we identify a minimal set of packaging and budding modules that can serve as a platform for bottom-up engineering of enveloped delivery vehicles. Notably, our system demonstrates superior per-VLP editing efficiency in primary T lymphocytes and two mouse models of inherited retinal disease, highlighting its therapeutic potential.

Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to extract and quantify biologically meaningful spatiotemporal patterns embedded within complex and rich data sources, many of which cannot be captured with existing methods. Here, we introduce activity quantification and analysis (AQuA2), a fast, accurate, and versatile data analysis platform built upon advanced machine-learning techniques. It decomposes complex live-imaging-based datasets into elementary signaling events, allowing accurate and unbiased quantification of molecular activities and identification of consensus functional units. We demonstrate applications across a wide range of biosensors, cell types, organs, animal models, microscopy techniques, and imaging approaches. As exemplar findings, we show how AQuA2 identified drug-dependent interactions between neurons and astroglia, as well as distinct sensorimotor signal propagation patterns in the mouse spinal cord.

To maintain tissue homeostasis, many cells reside in a quiescent state until prompted to divide. The reactivation of quiescent cells is perturbed with aging and may underlie declining tissue homeostasis and resiliency. The unfolded protein response regulators IRE-1 and XBP-1 are required for the reactivation of quiescent cells in developmentally L1-arrested C. elegans. Utilizing a forward genetic screen in C. elegans, we discovered that macroautophagy targets protein aggregates to lysosomes in quiescent cells, leading to lysosome damage. Genetic inhibition of macroautophagy and stimulation of lysosomes via the overexpression of HLH-30 (TFEB/TFE3) synergistically reduces lysosome damage. Damaged lysosomes require IRE-1/XBP-1 for their repair following prolonged L1 arrest. Protein aggregates are also targeted to lysosomes by macroautophagy in quiescent cultured mammalian cells and are associated with lysosome damage. Thus, lysosome damage is a hallmark of quiescent cells, and limiting lysosome damage by restraining macroautophagy can stimulate their reactivation.

The plasma proteome is maintained by the influx and efflux of proteins from surrounding organs and cells. To quantify the extent to which different organs and cells impact the plasma proteome in healthy and diseased conditions, we developed a mass-spectrometry-based proteomics strategy to infer the tissue origin of proteins detected in human plasma. We first constructed an extensive human proteome atlas from 18 vascularized organs and the 8 most abundant cell types in blood. The atlas was interfaced with previous RNA and protein atlases to objectively define proteome-wide protein-organ associations to infer the origin and enable the reproducible quantification of organ-specific proteins in plasma. We demonstrate that the resource can determine disease-specific quantitative changes of organ-enriched protein panels in six separate patient cohorts, including sepsis, pancreatitis, and myocardial injury. The strategy can be extended to other diseases to advance our understanding of the processes contributing to plasma proteome dynamics.

Skeletal muscle contraction is triggered by acetylcholine (ACh) binding to its ionotropic receptors (AChRs) at neuromuscular junctions. In myasthenia gravis (MG), autoantibodies target AChRs, disrupting neurotransmission and causing muscle weakness. While treatments exist, variable patient responses suggest pathogenic heterogeneity. Progress in understanding the molecular basis of MG has been limited by the absence of structures of intact human muscle AChRs. Here, we present high-resolution cryoelectron microscopy (cryo-EM) structures of the human adult AChR in different functional states. Using six MG patient-derived monoclonal antibodies, we mapped distinct epitopes involved in diverse pathogenic mechanisms, including receptor blockade, internalization, and complement activation. Electrophysiological and binding assays revealed how these autoantibodies directly inhibit AChR channel activation. These findings provide critical insights into MG immunopathogenesis, uncovering unrecognized antibody epitope diversity and modes of receptor inhibition, and provide a framework for developing personalized therapies targeting antibody-mediated autoimmune disorders.

Cytokines interact with their receptor complexes to orchestrate diverse processes-from immune responses to behavioral modulation. Interleukin-17A (IL-17A) mediates protective immune responses by binding to IL-17 receptor A (IL-17RA) and IL-17RC subunits. IL-17A also modulates social interaction, yet the role of cytokine receptors in this process and their expression in the brain remains poorly characterized. Here, we mapped the brain-region-specific expression of all major IL-17R subunits and found that in addition to IL-17RA, IL-17RB-but not IL-17RC-plays a role in social behaviors through its expression in the cortex. We further showed that IL-17E, expressed in cortical neurons, enhances social interaction by acting on IL-17RA- and IL-17RB-expressing neurons. These findings highlight an IL-17 circuit within the cortex that modulates social behaviors. Thus, characterizing spatially restricted cytokine receptor expression can be leveraged to elucidate how cytokines function as critical messengers mediating neuroimmune interactions to shape animal behaviors.

Patients with autoimmune or infectious diseases can develop persistent mood alterations after inflammatory episodes. Peripheral immune molecules, like cytokines, can influence behavioral and internal states, yet their impact on the function of specific neural circuits in the brain remains unclear. Here, we show that cytokines act as neuromodulators to regulate anxiety by engaging receptor-expressing neurons in the basolateral amygdala (BLA). Heightened interleukin-17A (IL-17A) and IL-17C levels, paradoxically induced from treatment with anti-IL-17 receptor A (IL-17RA) antibodies, promote anxiogenic behaviors by increasing the excitability of IL-17RA/RE-expressing BLA neurons. Conversely, the anti-inflammatory IL-10, acting on the same population of BLA neurons via its receptor, exerts opposite effects on neuronal excitability and behavior. These findings reveal that inflammatory and anti-inflammatory cytokines bidirectionally modulate anxiety by engaging their respective receptors in the same BLA population. Our results highlight the role of cytokine signaling in shaping internal states through direct modulation of specific neural substrates.

Microglia, essential in the central nervous system (CNS), were historically considered absent from the peripheral nervous system (PNS). Here, we show a PNS-resident macrophage population that shares transcriptomic and epigenetic profiles as well as an ontogenetic trajectory with CNS microglia. This population (termed PNS microglia-like cells) enwraps the neuronal soma inside the satellite glial cell envelope, preferentially associates with larger neurons during PNS development, and is required for neuronal functions by regulating soma enlargement and axon growth. A phylogenetic survey of 24 vertebrates revealed an early origin of PNS microglia-like cells, whose presence is correlated with neuronal soma size (and body size) rather than evolutionary distance. Consistent with their requirement for soma enlargement, PNS microglia-like cells are maintained in vertebrates with large peripheral neuronal soma but absent when neurons evolve to have smaller soma. Our study thus reveals a PNS counterpart of CNS microglia that regulates neuronal soma size during both evolution and ontogeny.