Biology subjects

Kim, M.

Publications and source records attributed to Kim, M..

At least 91 records · Page 5Linked to original sources

bioRxiv2025

UC Irvine Brain Initiative Cell Atlas Network (BICAN) Brain Procurement Program for the Center for Multiomic Human Brain Cell Atlas Project

High-quality neurotypical postmortem human brain tissue is essential but difficult to obtain for constructing comprehensive human brain cell atlases. Here we describe the establishment of UC Irvines Brain Procurement Program, a coordinated initiative to collect and process neurotypical donor brains for multiomic mapping studies within the NIH BRAIN Initiative Cell Atlas Network (BICAN) consortium. Through partnerships with the Orange County Coroners Office, the UC Irvine Willed Body Program, UCI Medical Center, and the Childrens Hospital of Orange County, we have developed standardized workflows encompassing donor identification, postmortem brain recovery and processing, region-of-interest dissection, neurotypical donor selection, and data management. Our experience demonstrates the feasibility of a community-based, multi-institutional procurement framework while highlighting challenges in recruiting neurotypical donors and ensuring demographic representation reflective of Southern California. We further identify opportunities to strengthen outreach and donation pathways. This program provides a scalable model for advancing population-reflective, high-quality human brain cell atlas efforts. HighlightsO_LIEstablish a multi-site pipeline for procuring high-quality neurotypical human brains. C_LIO_LIDemonstrate feasibility of donor collection across childhood to adulthood. C_LIO_LIIdentify barriers and propose strategies to improve broad donor recruitment. C_LI

neuroscience↗

bioRxiv2025

Master clock-thalamic-prefrontal circuit controls circadian social priority

Social behaviors arise from complex brain operations that adapt to changing social contexts and internal states. However, how internal states guide the resolution of competing social goals remains unclear. Here, we show that prioritization between competing instincts follows a circadian pattern via a circuit linking the suprachiasmatic nucleus (SCN) to the medial prefrontal cortex (mPFC). Specifically, SCNVIP neurons project to Vipr2-expressing neurons in the nucleus reuniens (RE), which innervate the mPFC to regulate social prioritization. Vipr2 signaling in the RE is essential for circadian modulation of appetitive and consummatory social behaviors, aligning social behaviors with clock-regulated reproductive system. Overall, this SCN-RE-mPFC circuit provides a neural principle through which the master clock coordinates the prefrontal cortex to resolve a conflict of motivated behaviors by referencing an internal state.

neuroscience↗

bioRxiv2025

Histopathology and spatial transcriptomics jointly map myofiber-specific pathological programs in mTORC1-driven myopathy

Skeletal muscle is a structurally organized and functionally diverse organ composed of heterogeneous myofiber types and supporting non-myocyte populations that act in concert to generate force, regulate metabolism, and maintain systemic homeostasis. Myopathies occur in many different diseases, but the mechanisms that drive these muscle pathologies are still largely unknown, partly because conventional approaches cannot link histopathological features to molecular states at single-fiber resolution. To address this challenge, we brought histopathology and spatial transcriptomics together by applying high-resolution Seq-Scope technology to a rodent model of mTORC1 hyperactivation, which produces diverse pathological alterations within individual myofibers. Cross-sections from extensor digitorum longus (EDL) and soleus (SOL), two muscles with distinct fiber-type compositions, were profiled to determine how transcriptome changes are linked to histopathological outcomes. Our analyses reveal that mTORC1 hyperactivation elicits distinct, fiber-type-dependent pathological programs. Type I and IIa fibers, abundant in SOL but scarce in EDL, were largely resistant to mTORC1-induced pathology, exhibiting only minimal morphological alterations and no fiber type-specific responses beyond those commonly observed throughout the tissue. In contrast, type IIx fibers, shared between both muscles, diverged into opposing fates: in SOL, they underwent abnormal enlargement driven by sustained growth signaling, cytoskeletal remodeling, and impaired proteostasis with defective autophagy; whereas in EDL, they developed basophilia characterized by lipid-supported respiration fueling excessive ribonucleotide synthesis and RNA accumulation. Within the same muscle, type IIb fibers displayed striking heterogeneity with discrete transcriptional states encompassing canonical stress responses, oxidative metabolic activation, and developmental reprogramming. In parallel, non-myocytic populations, including activated macrophages and fibroblasts, accumulated preferentially in SOL, forming a fibrotic microenvironment supporting inflammation, tissue remodeling and hypertrophy. Taken together, these findings reveal that sustained mTORC1 signaling disrupts muscle homeostasis through distinct metabolic and structural routes, directly linking histopathological phenotypes to their molecular states at single-fiber resolution.

pathology↗

bioRxiv2025

Vagal volume receptors in the heart compensate for blood loss and posture change

Cranial nerves densely innervate the heart and vasculature, with sensory neurons reporting on blood pressure, respiratory gases, and tissue damage1. The roles of arterial baroreceptors in systemic physiology are well appreciated2, but the functions of vagal cardiac mechanoreceptors have been more difficult to parse, in part due to the closed-loop structure of the cardiovascular system. Here, we use genetic tools for isolated study of vagal mechanoreceptors in the heart, finding that they are acutely sensitive to circulating blood volume and play key roles in compensating for decreased filling of the heart that occurs in an upright posture and during hemorrhage. Vagal PIEZO2 neurons form characteristic end-net endings in the heart and display blood volume-dependent responses with every heartbeat that are timelocked to atrial and ventricular systole. Vagal PIEZO2 knockout eliminates heartbeatcoupled nerve activity, and compromises carotid blood pressure when mice on a tilttable are rotated to an upright position. Vagal PIEZO2 knockout mice also display a lethal failure to sustain blood pressure during trauma-induced blood loss. Together, these findings demonstrate an essential function for vagal cardiac mechanoreceptors in sustaining the constancy of blood circulation.

neuroscience↗

bioRxiv2025

Cas9-enriched nanopore sequencing enables comprehensive and multiplexed detection of repeat expansions

Short tandem repeat (STR) expansion is a major genetic mechanism underlying numerous neurogenetic disorders. However, traditional PCR amplification and short-read next-generation sequencing (NGS)-based methods often fail to detect complex and large expansions including methylation information. Here, we modified an amplification-free nanopore Cas9-targeted sequencing (nCATS) platform and developed a dedicated analysis algorithm, STRiker, for the simultaneous assessment of all currently defined STR loci (56 sites) using a single test with genomic DNA from patient-derived blood cells. We ultimately identified pathogenic repeat expansions in 12 of 37 patients (32.4%) with cerebellar ataxia who remained genetically undiagnosed despite extensive prior genetic testing, in FGF14 (n=4), ATXN8OS, NOP56, RFC1 (n=2 each), and PRNP and NOTCH2NLC (n=1 each). Additionally, family-based cascade screening revealed six relatives with repeat expansions in five families. These results demonstrated a broader diversity of pathogenic repeat structures, particularly in FGF14, and illustrated that CpG methylation can mitigate the pathogenic effects of repeat expansions. This approach offers a powerful strategy for improving the diagnosis of STR-related neurogenetic diseases, for cerebellar ataxia and other STR-related diseases in the future. One Sentence SummaryImproved nanopore Cas9-targeted sequencing with STRiker enhances diagnosis of STR- related neurogenetic diseases and offers broader molecular insights.

bioengineering↗

bioRxiv2025

Thalamofrontal synaptic weakening underlies short-term memory deficits from adolescent NMDAR hypofunction

N-methyl-D-aspartate receptor (NMDAR) hypofunction is linked to schizophrenia, but prevailing models centered on reduced number and activity of inhibitory interneurons, and the resulting excitation-inhibition (E-I) imbalance, do not explain selective cognitive impairments. Here, we show that repeated adolescent NMDAR antagonism produces short-term memory (STM) deficits by weakening thalamofrontal (TF) synaptic transmission. In mice repeatedly exposed to ketamine, STM impairment coincided with reduced release probability and vesicle refilling at mediodorsal thalamus (MD) [->] dorsomedial prefrontal cortex (dmPFC) synapses, without detectable changes in layer 2/3 [->] layer 2/3 synaptic release probability, intrinsic excitability, or synaptic ultrastructure. These presynaptic deficits were accompanied by diminished direction-selective population coding in the dmPFC, as revealed by decoding analysis, and impaired delayed alternation performance in the Y-maze. Chemogenetic strengthening of MD [->] dmPFC projections restored both neural selectivity and behavior. Our findings identify a circuit-specific presynaptic mechanism linking adolescent NMDAR hypofunction to cognitive dysfunction, challenging interneuron-centric models and establishing TF synapses as a potential therapeutic target in NMDAR-related disorders.

neuroscience↗

bioRxiv2025

Neat1 alleviates ischemic injury in skeletal muscles

Peripheral artery disease (PAD) has historically been regarded as an age-related vascular disorder; however, recent attention has shifted toward the myopathic components of the disease. Conventional interventions, such as revascularization, have had limited success in reversing muscle pathology or preventing adverse outcomes like amputation. Hypoxia-inducible factors (HIFs) are key regulators of cellular responses to ischemia, including the promotion of angiogenesis and glycolysis. While pharmacological stabilization of HIF proteins represents a promising therapeutic strategy, its efficacy is diminished in aged muscles due to their intrinsically low basal HIF expression. We hypothesized that long noncoding RNAs (lncRNAs) might enhance the hypoxic response in aged muscle through post-transcriptional regulation of HIF expression. Our study identified a long noncoding RNA Neat1, as a critical mediator of the hypoxia-induced stress response, including upregulation of Hif1. In a murine hindlimb ischemia model, Neat1 knockout mice exhibited extensive necrosis following femoral artery ligation, whereas Neat1 overexpression conferred protection against ischemic injury. Mechanistically, we found that Neat1 regulates the stability of Hif1a mRNA, as Hif1a transcript levels were significantly reduced in Neat1-deficient muscle cells. Importantly, aged muscles displayed a blunted hypoxic response due to diminished Hif1a expression--an effect that was reversed through Neat1 overexpression, resulting in improved resistance to ischemic damage. In summary, our findings highlight Neat1 as a novel regulator of muscle adaptation to hypoxia in aging. Enhancing Neat1 expression may represent a promising therapeutic strategy for improving ischemic outcomes in patients with peripheral artery disease.

cell biology↗

bioRxiv2025

Aggressive nitrogen assimilation during exponential growth in Chlamydomonas reinhardtii

Bioavailable nitrogen (N) is a key limiting factor for global biomass production. In dynamic environments, organisms must employ effective nitrogen use strategies (NUS) to capitalize on episodic N availability. The recent discovery of intracellular guanine crystals in diverse algal species has prompted questions about their roles in NUS. To investigate NUS in Chlamydomonas reinhardtii, a model photosynthetic eukaryote, we compared N-to-biomass conversion rate of mixotrophic batch cultures fed with three common N sources, ammonium, nitrate, and urea. Saturating growth was achieved at 4 mM ammonium, 4 mM nitrate, and 2 mM urea, indicating comparable molar N utilization efficiency. Residual N measurements revealed that approximately 1.2 unit of optical density (O.D. at 680 nm) biomass was produced per mM N under sub-saturating conditions, while biomass accumulation per N decreased at above-saturating conditions. To estimate N storage capacity, we tracked N uptake kinetics in high-density culture following an N pulse, showing rapid assimilation of 3~6 mM N per O.D. biomass. N source-specific transcriptome revealed N source-specific regulation of assimilation pathways and transporter genes in support of effective NUS in C. reinhardtii. These findings support a model in which C. reinhardtii can rapidly acquire and store N during exponential growth, enabling sustained growth and metabolism during periods of N scarcity. Observed variation in N storage capacity across growth stages and N conditions predicts the regulatory mechanisms governing N partitioning and storage. This study highlights flexible NUS in microalgae, offering insights for improving N assimilation capacity and resilience in agricultural and aquacultural crops.

plant biology↗

bioRxiv2025

Decoding pathogen ecological memory from chemical-stress phenotypes

Can standardized chemical stress reveal a reproducible, taxonomy-agnostic stress-response fingerprint that is predictive of sample-source labels (crop-of-isolation) in fungal isolates? Six coffee{square}associated Colletotrichum isolates were profiled using four phenolic{square}branched compounds and compared them with a previously characterized cacao panel. Quantitative morphology, hyperspectral imaging (HSI), and supervised machine learning (ML) yielded panel-specific fingerprints under uniform, isotropic in vitro conditions. Circularity, a measure of edge symmetry, was the most informative morphological feature, and ML classified the crop-of-isolation label (coffee vs cacao, in this panel) with 86.7% accuracy in within-panel cross-validation. HSI detected dose-dependent spectral shifts in a targeted subset of isolates and compounds, including changes near 1930 nm in the short-wave infrared, a moisture-sensitive region that warrants robustness checks (e.g., band masking or preprocessing sensitivity) prior to biochemical attribution. Multi{square}locus phylogeny showed the coffee isolates are polyphyletic, so the predictive signal should be interpreted conservatively as a taxonomy-agnostic phenotype fingerprint associated with crop background in this mixed-lineage panel, acknowledging that crop labels are partially confounded with phylogenetic structure. We propose a "chemical priors" framework as a working hypothesis, in which long-term environmental exposure may imprint stress-response pathways that become legible under simple, standardized probes. This integrative workflow supports scalable screening of eco-friendly antifungals and sensor-driven decision support for high-throughput phenotype-based screening workflows. HighlightsO_LITaxonomy-agnostic workflow integrates hyperspectral imaging and morphology. C_LIO_LIMachine learning predicts crop-source labels with 86.7% accuracy in mixed lineages. C_LIO_LISystem exhibits robustness, maintaining >86% accuracy even after feature ablation. C_LIO_LINon-linear ML captures structure missed by linear stats (1.7% variance). C_LIO_LIEnables rapid, sensor-driven antifungal screening without prior DNA sequencing. C_LI

microbiology↗

bioRxiv2025

Inhibitory control and error processing in Obsessive-Compulsive Disorder: A mega-analysis of task-based fMRI data by the ENIGMA-OCD consortium

ObjectiveObsessive-compulsive disorder (OCD) is a chronic condition in which impaired inhibitory control and excessive error monitoring may contribute to the maintenance of obsessions and compulsions. This mega-analysis investigates neural activation during response inhibition and error processing using adult and pediatric data from the ENIGMA-OCD consortium and the ABCD study. MethodsIndividual participant data was uniformly processed using HALFpipe to extract statistical maps for response inhibition and error processing contrasts. Bayesian multilevel models were used to assess regional and whole-brain effects of OCD, with additional analyses examining the association between the OCD clinical profile and task-related activation. ResultsAcross inhibitory control tasks, both individuals with OCD and control participants showed robust activation in regions implicated in response inhibition and error processing. During response inhibition, compared to controls, adults with OCD showed stronger somatomotor cortex activation, while children with OCD showed stronger occipital cortex activation. Children with likely OCD from the ABCD cohort showed reduced activity in the frontoparietal network in the anterior insula/frontal operculum region. During error processing, relative to controls, adults with OCD showed weaker activation in fronto-striatal regions, while children with OCD showed stronger activation in frontoparietal and attention networks. Greater OCD symptom severity was associated with weaker task-related activation in adults and stronger activation in children during response inhibition. ConclusionCase-control differences in brain activation during inhibitory control varied by age group and task contrast. Symptom severity emerged as the main clinical correlate of activation during inhibition, suggesting that inhibitory control deficits in OCD may be both state-dependent and developmentally specific.

neuroscience↗

bioRxiv2025

Toward Single-Cell Control: Noise-Robust Perfect Adaptation in Biomolecular Systems

Robust perfect adaptation (RPA), whereby a consistent output level is maintained even after a disturbance, is a highly desired feature in biological systems. This property can be achieved at the population average level by combining the well-known antithetic integral feedback (AIF) loop into the target network. However, the AIF controller amplifies the noise of the output level, disrupting the single-cell level regulation of the system output and compromising the conceptual goal of stable output level control. To address this, we introduce a new regulation motif, the noise controller, which is inspired by the AIF loop but differs by sensing the output levels through the dimerization of output species. Combining this noise controller with the AIF controller successfully maintained system output noise as well as mean at their original level, even after the perturbation, thereby achieving noise RPA. Furthermore, our noise controller could reduce the output noise to a desired target value, achieving a Fano factor as small as 1, the commonly recognized lower bound of intrinsic noise in biological systems. Notably, our controller remains effective as long as the combined system is ergodic, making it applicable to a broad range of networks. We demonstrate its utility by combining the noise controller with the DNA repair system of Escherichia coli, which reduced the proportion of cells failing to initiate the DNA damage response. These findings enhance the precision of existing biological controllers, marking a key step toward achieving single-cell level regulation.

systems biology↗

bioRxiv2025

Single-cell exploration of ovarian aging across vertebrate models

Mammalian female reproductive span is thought to be limited by a fixed "ovarian reserve" determined at birth. With age, a dwindling ovarian reserve leads to infertility, culminating in menopause in humans. In addition to infertility, accumulating evidence has shown that age-related ovarian functional decline contributes to multisystem aging and frailty, making post-menopausal women most susceptible to an array of chronic diseases. However, due to limited tissue accessibility and lack of reliable research models, molecular drivers of ovarian aging remain poorly understood. A key barrier in the field has been the limited establishment and benchmarking of preclinical models faithfully recapitulating human ovarian biology. To address this, we curated publicly available single-cell/nucleus ovarian RNA-seq datasets from human, macaque, mouse, and goat, and processed them using a consistent and stringent pipeline. Datasets were then annotated in a harmonized fashion across studies in order to conduct a robust, integrative, cross-species analysis of ovarian aging with single cell resolution. We systematically evaluated cell-type composition, global transcriptional perturbations, gene-level changes, pathway and network features, and drug-response alignments. Across analyses, granulosa and theca cells emerged as the cell-types most affected by aging. We observed limited but promising consistencies across species, including granulosa-specific signature genes (FSHR and OSGIN2) and cell type-linked pathways, with extracellular matrix/adhesion programs in granulosa and ribosomal/mitochondrial programs in theca cells. These convergences suggest that cross-species modeling likely capture core aspects of ovarian aging. Together, our meta-analysis approach may help refine model selection, generate testable hypotheses, and cautiously inform preclinical and translational work in ovarian aging.

genomics↗

bioRxiv2025

Uncovering Design and Assembly Rules for mRNA-DNA Origami

mRNA-DNA hybrid origami offers a powerful route to combine the structural programmability of DNA origami with the biological functionality of messenger RNA, but generalizable design and assembly rules for these hybrids remain poorly defined. Here we systematically investigate the design principles and synthesis conditions that govern high-yield formation of mRNA-DNA hybrid nanostructures. Using mature mRNAs encoding firefly luciferase, EGFP, and mCherry as scaffolds, we construct a series of five hybrid compact origamis with diverse sizes, shapes, crossover strategies, and packing densities. We identify key parameters that control folding fidelity, including asymmetric A-form crossovers, monovalent-cation concentrations, and moderate-temperature annealing protocols, which together mitigate RNA instability, reduce kinetic traps, and accommodate RNA-DNA helical geometry. Atomic force microscopy reveals monodisperse, well-folded structures consistent with design expectations across most architectures and confirms that optimized conditions produce nanoscale precision comparable to DNA origami. Our findings establish generalizable design rules and a standard synthesis protocol for mRNA-DNA hybrid origami, providing a framework for their use in gene delivery and other RNA-based nanotechnologies.

bioengineering↗

bioRxiv2025

Lung Adenocarcinoma Just Desserts: An Expanding Pie of Activating Oncogenes or a Layer Cake of Integrated Alterations

The molecular landscape of lung adenocarcinoma (LUAD) is often summarized as a "pie chart" of driver oncogenes, suggesting identification and targeting of oncogenic drivers is the best clinical approach. However, this model oversimplifies LUAD biology. Patients with identical RAS or RAF mutations exhibit heterogeneous signaling influenced by co-mutations, transcriptional programs, and lineage context. We propose a hierarchical framework integrating oncogenes within cellular context by examining canonical EGFR mutations. We defined an EGFR mutation signature (mSig) by identifying differentially expressed genes in EGFR-mutant LUADs. Semi-supervised clustering and machine learning models were used to test performance and reproducibility across independent datasets. We analyzed molecular subtypes, lineage markers, co-occurring mutations, and candidate drug targets in EGFR-mSig positive (+) versus negative (-) tumors. The EGFR mSig showed robust classification performance across datasets (AUROC = 0.83-0.95; mean NPV = 96.3%). Validated unsupervised gene expression subtypes and lung lineage markers were closely aligned with EGFR mSig status. mSig(+) tumors were identified, even in tumors without EGFR mutations. A subset of canonical RAS mutations mirrored the EGFR mutation pattern. EGFR-mutant/mSig(-) tumors were enriched for non-Bronchioid subtypes and had co-mutations in TP53 or RAS. Coordinated mutations were identified including RAS, KEAP1, STK11, TP53, and CDKN2A, supportive of prior reports. In sum, novel EGFR mSig that captures the transcriptional footprint of EGFR activation, revealed a subset of EGFR wildtype LUADs with "mutant-like" features. Lineage-informed classification highlights subtype-dependent oncogene activity and supports new therapeutic strategies. A context-specific association between RAS mutation and expression of the dual-specificity phosphatase gene DUSP4 may have therapeutic potential.

genomics↗

bioRxiv2025

Designing smart spatial omics experiments with S2Omics

Spatial omics technologies have transformed biomedical research by enabling high-resolution molecular profiling while preserving the native tissue architecture. These advances provide unprecedented insights into tissue structure and function. However, the high cost and time-intensive nature of spatial omics experiments necessitate careful experimental design, particularly in selecting regions of interest (ROIs) from large tissue sections. Currently, ROI selection is performed manually, which introduces subjectivity, inconsistency, and a lack of reproducibility. Previous studies have shown strong correlations between spatial molecular patterns and histological features, suggesting that readily available and cost-effective histology images can be leveraged to guide spatial omics experiments. Here, we present S2Omics, an end-to-end workflow that automatically selects ROIs from histology images with the goal of maximizing molecular information content in the ROIs. Through comprehensive evaluations across multiple spatial omics platforms and tissue types, we demonstrate that S2Omics enables systematic and reproducible ROI selection and enhances the robustness and impact of downstream biological discovery.

genomics↗

bioRxiv2025

Genomic REWRITE of Immune Interfaces Reveals Heritable Epigenetic Memory in Human Stem Cells

Human leukocyte antigen (HLA) polymorphism underlies antigen presentation, immune recognition, and central tolerance, yet the complex, multigenic structure of native HLA loci has precluded systematic engineering in human pluripotent stem cells (hPSCs). Existing genome engineering demonstrations in hPSCs focus on smaller integrations or at ectopic sites, leaving scar-minimized rewriting of native human loci at >100 kb scale a major technical challenge. Here, we present REWRITE, a modular platform for scar-minimized genome writing that enables engineering of large human genomic loci exceeding 100 kb at their native chromosomal sites. Using REWRITE, we deleted 105 kb spanning the dispersed HLA class-I locus and installed either compact or full-length refactored synthetic HLA haplotypes. Both refactored architectures exhibited transient activity before re-acquiring the native inactive state; upon extended culture, engineered lines yielded global transcriptomes nearly indistinguishable from parental cells. The engineered loci were genomically stable, retained interferon-responsive HLA expression, and remained compatible with differentiation into endothelial-like and thymic epithelial-like cells. Together, these results establish REWRITE as a platform for locus-scale genome engineering in hPSCs and provides a system for studying HLA haplotype structure and function in an isogenic pluripotent cell background. One sentenceA practical platform for scar-minimized rewriting of native human loci exceeding 100 kb in hPSCs, demonstrated through synthetic refactoring of the class-I HLA region.

synthetic biology↗

bioRxiv2025

CytoVI: Deep generative modeling of antibody-based single cell technologies

Due to their robustness, dynamic range and scalability, antibody-based single cell technologies, such as flow cytometry, mass cytometry and CITE-seq, have become an irreplaceable part of routine clinics and a powerful tool for basic research. However, their analysis is complicated by measurement noise and bias, differences between batches, technology platforms, and restricted antibody panels. This results in a limited capacity to accumulate knowledge across technologies, studies, experimental batches, or across different antibody panels. Here, we present CytoVI - a probabilistic generative model designed to address these challenges and enable statistically rigorous and integrative analysis for antibody-based single cell technologies. We show that CytoVI outperforms existing computational methods and effectively handles a variety of integration scenarios. CytoVI enables key functionalities such as generating informative cell embeddings, imputing missing measurements, differential protein expression testing, and automated annotation of cells. We applied CytoVI to generate an integrated B cell maturation atlas across 350 proteins from a set of smaller antibody panels measured by conventional mass cytometry, and identified proteins associated with immunoglobulin class-switching in healthy humans. Using a cohort of B cell non-Hodgkin lymphoma patients measured by flow cytometry, CytoVI uncovered T cell states that are associated with disease. Finally, we show that CytoVI is a robust probabilistic framework for the analysis of standard diagnostic flow cytometry antibody panels, enabling the automated detection of tumor populations and diagnoses of incoming patient samples. CytoVI facilitates accurate and automated analysis in both preclinical and clinical settings and is available as open-source software at scvi-tools.org.

bioinformatics↗

bioRxiv2025

Cerebellar growth is associated with domain-specific cerebral maturation and socio-linguistic behavioral outcomes

The cerebellums involvement in cognitive functions is increasingly recognized, yet its developmental contribution to cognition remains poorly understood. The cerebellum undergoes rapid development in early life, paralleling major cognitive and behavioral changes. Although clinical studies have linked early cerebellar disruptions to profound developmental deficits, it remains largely unclear how typical cerebellar maturation supports the development of cognitive functions and how it interacts with broader brain development. Here, we apply a normative modeling framework to map cerebellar volumetric growth from infancy to young adulthood (N = 751; ages 1-21 years). Using lobular and functional cerebellar parcellations, we comprehensively characterize typical cerebellar development and examine how it aligns with cerebral development and behavioral outcomes. Across parcellations, posterior higher association areas consistently show steeper growth trajectories than anterior sensorimotor areas. Cerebellar and cerebral areas with similar functional roles demonstrate coordinated maturation, and volumetric growth in the posterior cerebellum relates to individual differences in socio-linguistic behaviors. These findings establish a comprehensive reference for typical cerebellar development, highlight cerebellar co-maturation with the cerebral cortex, and underscore the cerebellums role in supporting emerging higher cognitive functions.

neuroscience↗