Biology subjects

Chen, X.

Publications and source records attributed to Chen, X..

At least 235 records · Page 13Linked to original sources

bioRxiv2025

PARP10 condensation inhibits viral infection via targeting NAD+ homeostasis

ADP-ribosylation is a critical post-translational modification mediated by diphtheria toxin-like ADP-ribosyltransferases (ARTDs). The human ARTD family comprises 17 members that catalyze either poly- or mono-ADP-ribosylation. However, the functions and regulatory mechanisms of many ARTD proteins remain poorly understood. Here, we uncover an antiviral role for PARP10 through its ability to form biomolecular condensates. Viral infection triggers PARP10 condensation, a process driven by multivalent homotypic interactions among the structured domains. We show that mono-ADP-ribosylation of PARP10 suppresses its condensation, serving as a negative feedback mechanism that regulates condensate dynamics and protein stability. PARP10 condensates exhibit enhanced enzymatic activity, leading to decreased NAD+ levels and disruption of NAD+ homeostasis, ultimately inhibiting viral replication. Our findings establish PARP10 condensation as a novel mechanism for ARTD enzyme compartmentalization, with significant implications for innate immunity and host defense.

cell biology↗

bioRxiv2025

Plasma Induced Afterglow Luminescence

Afterglow imaging, is an emerging optical modality using agents that emit persistent luminescence after excitation ceases to eliminate tissue auto fluorescence and improve signal-to-background ratios. However, there was limited number of organic matters could produce persistent luminescence when using light, ultrasound or ionizing radiation as the excitation source. Herein, we explored cold atmospheric plasma (CAP) as a universal and exclusive stimulus for activating intense and long-lasting afterglow from widely-exist organic matters, which could not easily excited by light, ultrasound or X-ray radiation. Furthermore, we demonstrated the biomedical applications of the CAP-induced long-lasting afterglow for photodynamic residual removal after surgical resection of tumor. It should be point out that using CAP as the excitation source might opened new avenue for afterglow imaging clinical translation based on some FDA-approval organic matters learning from the drug repurposing strategy.

biochemistry↗

bioRxiv2025

AI Identifies Broadly Neutralizing Antibodies from an IGHV1-69 Public Antibody Class Exerting Continued Selection Over SARS-CoV-2

R1-32-like public antibodies, characterized by shared IGHV1-69/IGLV1-40 usage, are elicited in more than 50% of individuals with COVID-19 and have been implicated in driving recurrent mutations at L452SARS2 and F490SARS2 within their convergent epitope in the SARS-CoV-2 spike receptor-binding domain. These mutations effectively mediate escape from non-affinity-matured R1-32-like antibodies with germline-like sequences. Here, we characterize four affinity-matured R1-32-like antibodies, C092, C807, BD56-104, and BD56-597, that tolerate L452SARS2 and F490SARS2 mutations. We show that this tolerance arises from residues introduced by somatic hypermutation at convergent positions across multiple CDR loops and surrounding regions, thereby creating additional contacts that reinforce epitope binding. An unusual N354SARS2 glycosylation site, which emerged in BA.2.86 and became fixed in its descendants, is linked to escape from affinity-matured R1-32-like antibodies, implying ongoing selection by this public antibody class. Using an AI model trained on integrated structural, neutralization, and binding data, we further identified ZL525, an ultrapotent R1-32-like antibody with pan-SARS-CoV-2 variant activity, including against the highly evasive KP.3 variant carrying the N354SARS2 glycosylation, and broad sarbecovirus cross-reactivity extending to SARS-CoV-1. Together, these findings show how affinity maturation enables public antibodies to adapt to viral antigenic drift, reveal their role in shaping SARS-CoV-2 antigenic evolution, and demonstrate the potential of AI-empowered strategies for discovering broadly neutralizing antibodies.

immunology↗

bioRxiv2025

Myeloid cells contribute to bystander CD8 T cell accumulation in metabolic-associated steatohepatitis and are sufficient for fibrosis

Background & AimsMetabolic dysfunction-associated steatohepatitis (MASH) is a leading cause of liver fibrosis, morbidity, and mortality. It is characterized by the accumulation of fat in hepatocytes causing cell death followed by stromal cell activation and scar deposition at later disease stages. While a marked accumulation of cytotoxic CD8 T cells is observed in MASH in humans and mice, the role of adaptive immune cells in fibrosis progression remains debated. MethodsTranscriptional data were curated from human datasets and preclinical mouse models, including mice deficient in TCR{beta} T cells (Tcrb-/-), which lack conventional CD4 helper and CD8 cytotoxic T cells, in diet-induced fibrosing MASH for single-cell RNA-sequencing. Specific human and mouse liver transcriptomic immune signatures were corroborated by flow cytometry and immunofluorescence. ResultsxMASH was associated with the expansion of lymphocytes and myeloid cells. Auto-aggressive CXCR6+PD1+FASLG+ CD8 T cells were enriched in livers of high-fat-diet-fed mice and correlated with MASH and fibrosis. Notably, Tcrb-deficient mice in a chemical and dietary preclinical MASH model developed fibrosis to the same extent as wild-type mice and exhibited exacerbated pro-fibrotic type 3 inflammation. Loss of conventional CD8 T cells neither impacted myeloid cell number nor phenotype within the fibrotic niche. Neutrophil- and non-conventional lymphocyte-derived GM-CSF and IL-17A were central drivers in the fibrotic niche composed of pathogenic macrophages and activated myofibroblasts. Furthermore, myeloid cells were identified as the main source of CXCL16 in diseased livers, retaining auto-aggressive CD8 T cells to the scar and contributing to their accumulation. Thus, non-adaptive cells, including scar-associated macrophages (SAMs) and myofibroblasts, are sufficient for MASH-driven fibrosis in this model. ConclusionsTargeting myeloid cells and fibroblasts should be prioritized as anti-fibrotic therapies for MASH. Graphical abstractThe immunopathological niche in fibrosis O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/694415v3_ufig1.gif" ALT="Figure 1000"> View larger version (47K): org.highwire.dtl.DTLVardef@122a24org.highwire.dtl.DTLVardef@8ca28borg.highwire.dtl.DTLVardef@103907borg.highwire.dtl.DTLVardef@10280e3_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsAdaptive and innate immune cells localize to the human MASH fibrotic niche CD8 T cells increase with MASH severity while MHC-II+ cells accumulate with fibrosis CXCR6+FASLG+ CD8 auto-aggressive T cells accumulate at the scar CXCL16+ scar-associated macrophages retain CD8 T cells in the fibrotic MASH niche Liver injury, inflammation and fibrosis persist in the absence of conventional T cells Impact and implicationsMetabolic dysfunction-associated steatohepatitis (MASH) is a progressive liver disease in which fibrosis is a key determinant of patient outcomes and survival. This study demonstrates that fibrosis in MASH can develop independent of conventional T cell immunity, driven by myeloid cells including scar-associated macrophages (SAMs) and neutrophils within a localized hepatic niche in mice and humans. This highlights the need to prioritize innate immune mechanisms as key drivers of chronic (late-stage) liver disease for researchers and clinicians developing anti-fibrotic therapies.

immunology↗

bioRxiv2025

Nano-Sieve Enabled On Chip Concentration and Multiplexed Detection of Raman-Dye Labeled Nanocubes

To address persistent challenges in molecular detection--particularly signal variability, low analyte abundance, and poor spectral reproducibility--a portable bead-stacked nano-sieve platform was engineered to enable robust on-chip Raman signal amplification using silver nanocubes (AgNCs) functionalized with Raman-active thiolated ligands. The microdevice integrates deformable elastomeric channels with magnetic bead stacking to immobilize and concentrate AgNCs within confined nanoscopic junctions, thereby generating densely packed plasmonic hot-spot architectures that markedly enhance Surface-Enhanced Raman Scattering (SERS) efficiency. Time-resolved measurements revealed substantial increases in Raman intensity for both 4-mercaptobenzoic acid (4-MBA) and 4-aminothiophenol (4-ATP), outperforming corresponding off-chip assays and maintaining stable enhancement factors over a four-hour operational window. Furthermore, the platform successfully demonstrated multiplexed sensing capability: mixed-analyte experiments containing 4-MBA, 4-ATP, and cysteamine produced clearly distinguishable spectral fingerprints, even under serial dilution and dynamically pulsed sample delivery. Collectively, these results establish the bead-stacked nano-sieve as a versatile, label-free, and scalable diagnostic architecture capable of achieving high sensitivity and spectral fidelity under continuous-flow conditions. Our technology holds significant promise for real-time, non-invasive molecular surveillance, point-of-care diagnostics, and early disease monitoring in resource-limited or field-deployable settings.

bioengineering↗

bioRxiv2025

Wnt-presenting materials sustain H3K14-acetylation in human skeletal stem cells for tissue engineering and bone repair

Engineering functional tissues for transplantation requires insight into epigenetic mechanisms that regulate stem cell fate. We have developed the Wnt-induced osteogenic tissue model (WIOTM), a platform that recapitulates human osteogenesis, and identified acetylation of histone H3 at lysine 14 (H3K14ac) as a critical epigenetic regulator in human skeletal stem cells (hSSCs). In WIOTM, localized Wnt signals drive asymmetric cell division (ACD), yielding a proximal hSSC with high H3K14ac and a distal daughter with reduced H3K14ac that migrates into the 3D collagen matrix and initiates osteogenic differentiation. Disrupting H3K14ac in hSSCs abrogates ACD and WIOTM formation. To test whether hSSCs maintain H3K14ac in vivo, we formed the WIOTM on Wnt-functionalized polymer bandages and transplanted them into calvarial defects. The WIOTM contributed to bone repair, and human cells adjacent to the bandages retained high H3K14ac despite the injury environment. These findings establish WIOTM as both a mechanistic and translational platform for regenerative medicine.

cell biology↗

bioRxiv2025

Lipid Transfer Proteins and PI4KIIα Generate a Phosphoinositide-Linked Proteome

Phosphoinositide (PIPn) lipid second messengers in membranes regulate a myriad of cellular processes. In the cytosol, the phosphatidylinositol (PI) 3-kinase (PI3K)/Akt pathway is scaffolded on IQGAP1 to facilitate the activation of Akt by the synthesis of PI3,4,5P3. In the nucleus, PIPn signaling occurs in regions devoid of membranes via their stable association with proteins. While several of these proteins have been identified, understanding the extent and impact of protein-linked PIPn signaling warrants further investigation. The tumor suppressor p53, was shown in the companion paper to be regulated by PI transfer proteins (PITPs) and a PI 4-kinase (PI4KII), which are required to form p53-PIPn complexes that assemble a nuclear PI3K/Akt pathway. Here we report that class I PITPs (PITP/{beta}) and PI 4-kinase initiate PIPn linkages to many different proteins. PITP/{beta} and PI4KII accumulate in the nucleoplasm in response to stress and are necessary to synthesize nuclear PIPns linked to proteins. These PITP/{beta}-dependent protein-PIPn complexes are detected by metabolically labeling cells with the PIPn precursor [H3]-myo-inositol and resist denaturation and SDS-PAGE, indicating that these protein-PIPn complexes represent a putative posttranslational modification. Proteomic analyses of proteins that are regulated by PITP/{beta} and/or are linked to PI4,5P2 have identified an emerging PIPylome that is enriched in metabolic, signaling, cytoskeletal and DNA repair pathway components. Taken together, these data provide evidence for an emerging proteome with linked PIPns that represent a PIPn signaling paradigm that is distinct from the membrane-localized pathway but utilizes many of the same PIP kinases and phosphatases. In briefPhosphatidylinositol transfer proteins and PI 4-kinase initiate a PIPn-linked protein network in membrane-free regions.

cell biology↗

bioRxiv2025

Development of the Early Childhood Duodenum across Ancestry, Geography and Environment

During early childhood, the proximal small intestinal mucosa plays a central role in growth, metabolism, immune priming, and neuronal development. Yet the cellular architecture and environmental responsiveness of the human small intestinal mucosa during this period remain poorly defined. Here, we generate a comprehensive cellular and spatial map of the duodenum from 87 children aged 6 months to 13 years, representing diverse ancestries and geographic contexts. This atlas integrates single-cell transcriptomic and spatial profiling with data on diet, social drivers of health, and environmental exposures. Using these data, we define mucosal cellular composition and chart its developmental trajectory in early childhood. Comparative analyses of children residing in the United States (US) and Pakistan reveal a differentiated enterocyte subset expressing the aquaglyceroporin, AQP10 (AQP10+ enterocyte), that is enriched in children from the US. We show that emergence of this enterocyte state depends on lipid exposure to intestinal stem cells and correlates with dietary fat intake. We also identify a previously-undescribed thyrotropin-releasing hormone (TRH+) enteroendocrine cell and provide evidence for a local endocrine-epithelial-lymphocyte circuit. Our work establishes a detailed framework for pediatric duodenal mucosal development and illuminates how intestinal cellular dynamics are shaped by age and environment.

developmental biology↗

bioRxiv2025

Post-weaning social isolation impairs the orbitofrontal cortical circuit subserving contagious pain and prosocial behaviors

Empathic behaviors are sensitive to environmental factors like post-weaning social isolation (SI), yet the mechanisms by which SI affects empathy remain unclear. Here, we show that mice subjected to SI exhibit marked impairments in contagious pain and prosocial behaviors, including allo-grooming and allo-licking toward cagemates experiencing inflammatory pain. Mechanistically, we identify the glutamatergic projection from the ventromedial thalamic nucleus (VM) to the orbitofrontal cortex (OFC) as critical for these empathy-like responses. SI induces hypoexcitability of OFC glutamatergic neurons and attenuates excitatory synaptic transmission within the VM[->]OFC pathway. Remarkably, chemogenetic activation of OFC neurons or the VM[->]OFC projection restores empathic behaviors in SI mice. Furthermore, we uncover a molecular basis for SI-induced OFC hypoexcitability: the downregulation of Grik3, encoding a kainate-type glutamate receptor subunit. These findings reveal a previously uncharacterized thalamocortical mechanism through which early-life social deprivation disrupts empathic behaviors, offering insights into the underpinnings of social-affective dysfunction.

neuroscience↗

bioRxiv2025

A Combinatorial mRNA Therapy for Treating Rheumatoid Arthritis and Osteoarthritis by Inhibiting Inflammation and Promoting Cartilage Regeneration

Rheumatoid arthritis (RA) and osteoarthritis (OA) are debilitating joint disorders with distinct etiologies but share common pathological features of chronic inflammation and progressive cartilage damage. Current therapeutic options are largely palliative and yet fail to achieve desired effect. In this study, we developed a combinatorial mRNA therapy using a rationally engineered lipid nanoparticle (LNP) containing a novel ionizable lipid for enhanced cartilage penetration upon intra-articular administration. This LNP co-delivers mRNAs encoding two complementary therapeutic proteins: interleukin-1 receptor antagonist (IL-1Ra) for inflammation attenuation and a C-terminal truncated derivative of angiopoietin-like 3 (ANL3) for cartilage regeneration. In pre-clinical models including collagen-induced arthritis mice, TNF-transgenic mice with spontaneous RA and destabilization of medial meniscus (DMM) surgical OA model, this "one-shot" combinatorial therapy significantly ameliorated disease severity, reduced synovitis and bone erosion, and potently promoted the regeneration of hyaline-like cartilage. Mechanistically, transcriptomic profiling of joint specimens revealed that the combinatorial therapy concurrently suppressed inflammatory pathways and extracellular matrix degradation pathways, meanwhile upregulating anabolic genes facilitating chondrogenesis. Collectively, our study establishes a versatile and synergistic mRNA therapy that offers a potent disease-modifying immunomodulatory strategy capable of addressing the long-standing unmet needs in arthritis treatment.

immunology↗

bioRxiv2025

Automatic binding of basic sensory features requires consciousness

Conscious awareness requires establishing coherent percepts. Yet, whether consciousness is necessary for initiating the integration of basic sensory features remains unclear. Competing theories implicate distinct functional regimes of consciousness in the process of feature binding and creating conscious percepts. We used a novel multi-feature oddball paradigm with intracranial stereo-electroencephalography (sEEG) recordings in awake and anesthetized states to investigate the functional boundary of consciousness. In the awake state, the auditory attributes of loudness and tone, as well as the binding of the two features, were automatically encoded without attention to the stimuli in a functionally localized sensory cortical network. In the anesthetized state, the cortical registration of single attributes was preserved, whereas the binding was abolished. Moreover, anesthesia mostly influenced later cortical processes after stimuli offset. These results reveal the borderline of exertion of consciousness between the encoding and manipulation of basic sensory features in local cortical circuits - the functional boundary of consciousness constrains the feedforward binding and recurrent process directly at local rather than global level computations.

neuroscience↗

bioRxiv2025

VIP-OT: Dissecting Single-Cell Biochemical State Dynamics under Perturbation via Vibrational Painting and Optimal Transport

Dissecting the heterogeneous response of individual cells towards genetic and chemical perturbations is central to understanding the dynamic functions of cells and multicellular systems. However, characterizing and modeling how individual cells transition between different states remains a major challenge. Vibrational imaging provides high-content, biochemically informative, label-free molecular fingerprints of single cells but it remains at its infancy for dynamic or predictive analysis of cell state transition. Here, we introduce Vibrational Painting-Optimal Transport (VIP-OT), an integrated experimental-computational framework that overcomes this fundamental limitation. VIP-OT couples multiplexed infrared (IR) and Raman imaging with optimal transport to computationally reconstruct single-cell perturbation trajectories from unpaired population snapshots. When applying to over 22,000 single-cell spectra profiles from human breast adenocarcinoma cells under 16 drug treatments, this framework can retrospectively trace drug response heterogeneity back to baseline metabolic states. We leverage the inferred cell pairings to develop a machine learning model that accurately predicts the full post-treatment metabolic state of individual cells from their pre-treatment spectra. Furthermore, by modeling transitions across dose gradients, we introduce the concept of Spectral Velocity to map dynamic response trajectories and resolve drug combination effects into distinct, path-dependent molecular routes. Together, VIP-OT opens a new direction for dissecting heterogeneous perturbation responses at single cell resolution and serves as a foundation for building virtual simulators of cells under perturbations through high-throughput, high-content, and low-cost vibrational imaging, as well as interpretable in silico modeling.

bioengineering↗

bioRxiv2025

Relative contribution of gonads and sex chromosomes to sex differences in cell-type gene expression in the mouse medial septum and sex-biased disease risk

BackgroundWhile sex differences in the brain have traditionally been attributed to gonadal hormones, emerging evidence points to regulation by sex chromosomes. This study aims to differentiate the influence of gonads versus sex chromosomes on cellular gene expression in the mouse medial septum (MS), a critically understudied brain region. MethodsUsing single nucleus RNA-sequencing and the Sex Chromosome Trisomy mouse model, we (1) quantified sex differences in cellular gene expression and (2) isolated sex-biasing effects by identifying perturbed cell types, differentially expressed genes, biological pathways, and gene networks, which were integrated with GWAS data to explore links with sex-biased human phenotypes. ResultsOur analysis revealed that volumetric sex differences in the MS are mirrored by widespread transcriptomic changes across cell types. Critically, genetic effects displayed elevated relevance compared to sex hormones in driving sex-biased gene expression. These effects converge to regulate synaptic/neuronal development, transcriptional regulation, and cellular metabolism. Sex chromosome-associated DEGs were enriched for various human disorders, suggesting a cellular and mechanistic basis for their sex-biased patterns. ConclusionsOur findings challenge the classical gonad-centric views of sexual differentiation, as the MS displays sex-biased transcriptional regulation driven by sex chromosome-associated effects that are highly relevant for human health.

neuroscience↗

bioRxiv2025

Genetic architecture and evolution of stripe rust resistance uncovered using diverse panels of wheat lines and North American Puccinia striiformis f. sp. tritici isolates

Newly emerging highly virulent races of Puccinia striiformis f. sp. tritici (Pst) often defeat deployed resistance genes (Yr), highlighting the need for novel sources of durable resistance. A global diversity panel of 377 spring wheat (Triticum aestivum L.) lines was screened for all-stage resistance (ASR) against 20 diverse Pst isolates at the seedling stage and adult plant resistance (APR) against natural mix of field races. Genome-wide association mapping identified 77 unique Yr loci. Of these, 33 overlapped with the previously reported ~1,100 loci, while 44 were likely novel. Nine mapped Yr loci were effective at the adult plant stage and showed no overlap with the known APR genes. Two wheat lines, though lacked the widely effective Yr5 and Yr15 genes, exhibited resistance to all 20 Pst races at the seedling stage and natural field races at the adult stage, suggesting that they may carry novel, broad-spectrum resistance alleles. APR genes Yr18, Yr29, and Yr36 were detected at low frequencies, indicating that much of the observed resistance may arise from less characterized or novel sources. Wheat improvement had no effect on the frequency of ASR alleles but resulted in a three-fold increase in the frequency of APR alleles, suggesting that the latter were subjected to more consistent breeding selection over time. Our findings underscore the value of combined screening of diverse germplasm with the diverse panels of pathogen races to identify novel sources of broad-spectrum resistance for breeding stripe rust resistant cultivars.

genetics↗

bioRxiv2025

Spotsweeper-py: spatially-aware quality control metrics for spatial omics data in the Python ecosystem

Spatially-resolved transcriptomics (SRT) generates large and heterogeneous datasets where global (tissue-wide) quality control (QC) metrics often over-aggressively remove biologically meaningful regions or miss localized artifacts. Recently, spatially-aware QC metrics have been introduced in SpotSweeper, but this is limited to the R programming language, which makes it challenging to use these metrics within the Python/scverse ecosystem. Here, we present SpotSweeper-py, a Python equivalent package of SpotSweeper that computes neighborhood-aware z-scores for standard QC metrics such as total counts, log total counts, number of detected genes, and percentage of mitochondrial counts. We demonstrate the performance and usability of SpotSweeper-py on two public datasets from the 10x Genomics Visium and VisiumHD platforms. This implementation of local spatially-aware QC metrics enables direct integration with Python/scverse ecosystem, reduces false positives from global quality control while preserving tissue-specific architecture. Plotting utilities are also included for quick visualizations of flagged outliers. By making robust local QC accessible in Python, SpotSweeper-py strengthens the reliability of pipelines for analyzing SRT data. The open-source software is available on PyPI (https://pypi.org/project/spotsweeper).

bioinformatics↗

bioRxiv2025

Harnessing anti-CRISPR to suppress, subtract, and segregate Cas9 activity for precision CRISPR in Drosophila

Tissue-specific CRISPR (ts-CRISPR) is a powerful approach for studying cell and developmental biology by restricting mutagenesis to specific tissues. However, the precision of this approach is often compromised by non-specific, "leaky" Cas9 activity that confounds phenotypic analysis and destabilizes Cas9/gRNA stocks. To address these limitations in Drosophila, we developed a toolkit based on the Anti-CRISPR (Acr) protein AcrIIA4. We first identified AcrIIA4 as a potent in vivo Cas9 inhibitor with high stability and established the temporal requirements for its function. Based on these findings, we generated three classes of Acr tools. First, a collection of AcrIIA4-bearing balancers robustly suppresses Cas9 and enables the stable maintenance of complex Cas9/gRNA stocks. Importantly, maternal deposition of AcrIIA4 from these balancers provides a means of temporal control, delaying Cas9 activity until metamorphosis. Second, tissue-specific AcrIIA4 transgenes refine leaky Cas9 drivers in a "tissue-subtraction" strategy. Finally, germline-specific and soma-specific Acr tools efficiently segregate Cas9 activity, solving bidirectional leakiness between these two compartments. This comprehensive AcrIIA4 toolkit provides new levels of precision, versatility, and temporal control for Drosophila CRISPR applications.

genetics↗

bioRxiv2025

Redox-controlled dimerisation regulates ethylene biosynthesis

Ethylene is a central plant hormone that orchestrates growth, development, senescence, and stress responses. Because it is gaseous, ethylene must be synthesised on demand, yet the catalytic and regulatory mechanisms of its biosynthetic enzyme, 1-aminocyclopropane-1-carboxylic acid oxidase (ACO), remain poorly understood. Here, using structural, biophysical, and computational analyses, we uncovered two principles: ACO catalysis relies on an induced-fit mechanism, and disulfide-mediated dimerisation via a conserved cysteine acts as a redox switch toggling ACO between active monomer and inactive dimer. This previously unrecognised regulatory layer positions ACO as a redox sensor in plant cells, revealing a fundamental control point in ethylene biosynthesis. Given ethylenes pivotal role in crop productivity and stress resilience, these findings open new opportunities for precise manipulation of hormone signalling in agriculture and biotechnology.

biochemistry↗

bioRxiv2025

RamanOmics Decodes Spatial Vibrational-Molecular Architecture and Rewiring in Aging and Repair

Aging and tissue repair involve multilayered and spatially heterogeneous remodeling across transcriptional, biochemical, and cellular dimensions, yet prevailing definitions rely on isolated molecular markers that obscure how biochemical and transcriptional states co-evolve in tissues. Here we present RamanOmics, a multimodal framework that integrates single-nucleus RNA sequencing (snRNA-seq), spatial transcriptomics, and label-free Raman imaging to map the spatial vibrational-biochemical and molecular architecture of aging and senescence directly in intact tissues. Applied to mouse lung and skin, RamanOmics generates spatially resolved biochemical-molecular maps revealing tissue-specific programs: lung senescent cells are enriched for extracellular matrix (ECM) remodeling and TGF-{beta} signaling (Serpine1, Dab2, Igfbp7), whereas skin senescence is dominated by keratinization and barrier homeostasis modules (Krt10, Lor, Sbsn). Across tissues, we identify a conserved branched-chain fatty-acid-linked biochemical profile and Raman signature (1131-1135 cm-{superscript 1}) that robustly marks p21 senescent cells. To unify these layers, we develop a machine learning derived "multimodal barcode" that quantitatively integrates biochemical and transcriptional features, enabling non-destructive identification of senescence in situ. In a wound-healing model, RamanOmics further reveals coordinated reactivation of barrier-repair programs in senescent cells, marked by upregulation of Krt10, Lor, Sbsn, Sfn, and Dmkn together with matching increases in lipid-associated Raman signatures, confirming biological generalizability beyond steady-state aging. By directly integrating gene programs to spatial vibrational-biochemical states, RamanOmics provides a general framework and resource for scalable, multimodal profiling of cellular states.

systems biology↗