Biology subjects

Li, C.

Publications and source records attributed to Li, C..

At least 181 records · Page 10Linked to original sources

bioRxiv2026

Whole-genome sequencing reveals variant associations with brain imaging phenotypes

Whole-genome sequencing (WGS) enables comprehensive discovery of genetic variation underlying brain imaging traits beyond the limits of SNP arrays, particularly for rare coding variants with potentially large effects. Here, we integrated WGS data from 45,755 UK Biobank participants with 4,016 derived imaging phenotypes (IDPs) spanning macrostructure (volumes, cortical thickness/area), microstructure (diffusion metrics), functional connectivity, and perfusion MRI measures. We performed variant-level association testing across 2,751,139 coding SNVs under dominant, genotypic, and recessive models. Then, we conducted gene-based rare-variant collapsing analyses across 18,762 genes using multiple qualifying-variant models to improve power for ultra-rare alleles and enhance biological interpretability. We detected 66,893 significant genotype-IDP associations at the variant level and 184 significant gene-IDP associations from collapsing analyses, including many signals driven by protein-truncating and damaging missense variants with larger effect sizes than common variants. Burden heritability analyses supported a contribution of rare coding variation to population variability in IDPs. This study provided a WGS framework for mapping rare coding variant effects on brain structure and function, advancing mechanistic insight into imaging endophenotypes relevant to neuropsychiatric and neurodegenerative disease.

genomics↗

bioRxiv2026

Regulation of spikelet number during wheat spike development

Wheat produces unbranched inflorescences (spikes) composed of smaller inflorescences (spikelets) as their fundamental building units. The spikelet number per spike (SNS) is a major determinant of grain yield and the gene networks that regulate this trait are the focus of this review. Spikelet development starts with the transition of the shoot apical meristem into an inflorescence meristem (IM) that produces lateral spikelet meristems (SMs). The rate at which SMs are produced and the timing of the IM transition into a terminal spikelet (IM[->]TS) determine the final SNS. These two traits are regulated by genes expressed in the IM (e.g. meristem identity genes), as well as by the amount of FLOWERING LOCUS T1 (florigen) transported from leaves to developing spikes. Spikelet number can also be increased by the production of spikes with supernumerary spikelets (SS) or branch-like structures that resemble small spikes. Mutations that promote a reversion from SM to IM identity can induce the formation of SS or branches. Initial efforts to incorporate these mutations into commercial wheat varieties have faced trade-offs in fertility and grain weight, which will require additional research and breeding efforts. Meanwhile, genes and allele combinations that increase SNS without affecting the number of spikelets per node have been identified and are being deployed in wheat breeding programs. Recent spatial transcriptomics, single-cell analyses, and multi-omics studies of wheat spike development are accelerating the discovery of new genes affecting SNS and enhancing our ability to engineer more productive wheat spikes.

plant biology↗

bioRxiv2026

Genetics-informed bidirectional mapping of glycemic traits and brain phenotypes

Dysglycaemia is linked to brain atrophy, white-matter disruption and dementia risk, yet the directionality and mechanisms of glycemic-brain coupling remain unclear. Here we integrate large-scale GWAS of fasting glucose, fasting insulin, 2-hour glucose, HbA1c and type 2 diabetes with multimodal brain imaging phenotypes and major brain disorders using bidirectional two-sample Mendelian randomization. Across 4,040 tests, we identify 54 glycaemia and brain causal associations (FDR P < 0.05) and uncover a timescale-dependent hierarchy: short-term glycemic traits map to distributed macrostructure and functional-network, whereas long-term glycemic burden preferentially implicates long-range association and commissural white-matter pathways with focal prefrontal-paracentral vulnerability. Reverse analyses reveal 44 brain IDPs and glycaemia effects. Multi-trait Bayesian colocalization and tissue/cell-type eQTL integration nominate shared causal loci enriched in glial and neurovascular pathways. Individual-level UK Biobank analyses validated glycaemia-associated brain structural alterations and non-linear risk patterns for incident outcomes. Together, our results provide a genetically anchored atlas of bidirectional glycemic-neural relationships, linking metabolic dysregulation to multiscale brain vulnerability and disorder risk.

neuroscience↗

bioRxiv2026

Multitimescale Computation by Astrocytes

The basic computational unit of the brain has long been defined as the neuron. However, mounting evidence suggests that other cells, especially astrocytes, also perform computations. Here, we demonstrate that cerebellar astrocytes decompose norepinephrine input into slow and fast calcium ion activities through differential adrenergic receptor engagement. During reward learning in mice, these slow and fast activities selectively target and modulate distinct synaptic pathways. Causal manipulations reveal that fast 2-adrenergic signals govern event-triggered responses and reinforcement learning, whereas slow 1-adrenergic signals maintain behavioral states and coordinate transitions. Remarkably, an actor-critic neural network trained on a similar sequence task spontaneously recapitulates these multitemporal dynamics, suggesting that astrocytes implement critic-like computations that evaluate states and modulate neuronal learning. These findings establish astrocytes as multilevel processors that transform univariate neuromodulatory inputs into multivariate, pathway-specific circuit controls operating in parallel with neuronal processing.

neuroscience↗

bioRxiv2026

Glucose is a ligand-like trigger for secretion of postprandial GLP-1

Glucagon-like peptide 1 (GLP-1) is secreted from the intestinal L cells in a glucose-dependent manner. However, the mechanism underlying how glucose stimulates the secretion remains unclear. Here, we found that glucose at postprandial concentrations near the Km of GK for glucose ([~]10 mM), as well as nonmetabolizable glucose analogs, triggers GLP-1 secretion by intestinal L cells through directly binding to glucokinase (GK), without increasing intracellular ATP levels. We also show that in postprandially high glucose, glucose-bound GK interacts and inhibits KATP, as assessed by immunoprecipitation and FRET-FLIM analyses, as well as patch clamping. In addition, we have utilized GK mutants identified in diabetics, demonstrating that those mutants defective in binding to glucose impair GLP-1 secretion in however high glucose, whereas mutants constitutively bound to glucose with defects in catalysis, promote GLP-1 secretion even in low glucose. Furthermore, the KATP mutant unable to bind to GK blocks GLP-1 secretion in high glucose. We have also provided evidence showing that sodium-glucose cotransporter 1 (SGLT1) plays an important role in the basal secretion of GLP-1, but not in high glucose. We have thus revealed that glucose the molecule itself and GK act as a ligand and the receptor, respectively, to induce GLP-1 secretion in response to high glucose, providing new therapeutic avenues targeting metabolic diseases.

biochemistry↗

bioRxiv2026

Abalone genomics reveals an ancient asymmetry axis and the multifunctionality of the mantle

Gastropod diversification represents one of the most spectacular evolutionary radiations, underpinned by a fundamentally asymmetric body plan and diverse pigmentation patterns. To understand the genetic underpinnings of these cardinal traits, we constructed a chromosome-level genome assembly for the rainbow abalone, Haliotis iris. Integrating systematic genomics, histoembryology, and molecular assays, we uncover an ancient regulatory axis, conserved for over 544 million years, in which the long non-coding RNA lncRNA1 functions as a competing endogenous RNA to shield pitx transcripts from miRNA-mediated degradation, thereby driving the establishment of asymmetric body patterning, including the mantle. Furthermore, we identify a wnt-mitf-tyr cascade as the driver of melanogenesis and demonstrate that the mantle is the primary site of melanin synthesis. Concurrently, we reveal the mantle as a multifunctional organ possessing mechanosensory capabilities. These findings elucidate the ancient genetic toolkit governing trait evolution in gastropods. TeaserA deeply conserved RNA switch directs gastropod body plans and reveals the mantles hidden talents.

genomics↗

bioRxiv2026

A plug-and-play ROI imaging module and deep-learning denoising framework extend three-photon microscopy to 1.7 mm depth

Three-photon microscopy (3PM) has extended optical imaging beyond the reach of two-photon microscopy (2PM), but its practical depth remains far below theoretical predictions because of low photon efficiency and severe noise contamination. Here we present an integrated hardware and software solution that addresses these limitations. We developed a plug-and-play region-of-interest (ROI) imaging module that selectively excites neuron-occupied regions to improve power efficiency and reduce photothermal stress. The module incorporates frame-partitioned accumulative (FPA) imaging for high signal-to-noise ratio (SNR) structural acquisition, automated neuron segmentation, and motion-robust registration for stable recordings. Complementing this, OptiCal is a cascaded deep-learning framework that removes mixed noise including periodic, motion-induced, and random components. Together, these innovations enable high-fidelity imaging to 1.7 mm depth, extending the practical limit of 3PM by about 400 {micro}m while maintaining low excitation power. Our results reveal reliable calcium activity and behavior-correlated dynamics in deep medial prefrontal cortex of awake mice.

neuroscience↗

bioRxiv2025

Discovery of the metalloenzyme IsmB revises a pathway for coprostanol formation by the human gut microbiome

High levels of circulating cholesterol are associated with human cardiovascular diseases and an altered gut microbiome. Still, major gaps exist in our understanding of the interactions of cholesterol with gut microbes. The reductive transformation of cholesterol to the poorly absorbed sterol coprostanol by human gut bacteria has long been known, but the genetic and biochemical basis for this activity is only partially elucidated. Here, we discover and characterize a gut bacterial enzyme that catalyzes the reduction of cholestenone to coprostanone, the second step in the intestinal sterol metabolism (ism) pathway for coprostanol production. We identify a gene encoding a previously unknown 5{beta}-reductase, IsmB, a new member of the Fe-S cluster flavoenzyme superfamily, in the coprostanol producing organism Eubacterium coprostanoligenes. Biochemical characterization of IsmB confirms it is an anaerobic Fe-S cluster flavoenzyme and reveals specificity for reduction of an unanticipated intermediate, 5-cholesten-3-one, to coprostanone, revising the ism pathway. We also identify and characterize homologs of IsmB encoded in uncultured human gut bacteria that also encode the previously identified ism pathway enzyme IsmA, further supporting the role of IsmB in coprostanol formation. Finally, analysis of human stool metagenomics and metabolomics datasets further confirms the relevance of IsmB in the human gut microbiome, and analyses of human serum metabolomics from Framingham Heart Study participants reveal negative correlation between serum cholesterol levels and the presence of IsmA/IsmB encoders in the gut. Together, these results show the utility of combining biochemistry and stool metagenomic analysis for gut microbial enzyme discovery, and suggests IsmA/IsmB-encoding gut bacteria carry potential benefits for cholesterol homeostasis and cardiovascular health.

biochemistry↗

bioRxiv2025

ZIKV NS5-mediated STAT2 degradation as a determinant of immune evasion and pathogenicity

Type I interferon (IFN) signaling is a central antiviral defense, with STAT2 driving the expression of IFN-stimulated genes (ISGs) to restrict viral infection. Many flaviviruses, including Zika virus (ZIKV), evade this pathway through non-structural protein 5 (NS5)-mediated ubiquitination and proteasomal degradation of STAT2, yet the contribution of this immune evasion strategy to viral fitness and pathogenesis remains incompletely defined. Here, using a multi-step mutational scanning strategy that jointly assessed STAT2 degradation and viral RNA replication, we identified a single NS5 residue, L162, as uniquely permissive to substitution that abolishes STAT2 degradation without compromising intrinsic replication functions. Substitution of L162 with alanine or glycine (L162A or L162G) selectively disrupted NS5 recruitment of the ZSWIM8-CUL3 E3 ubiquitin ligase, thereby preserving STAT2 stability and restoring IFN signaling. Recombinant ZIKV carrying these mutations exhibited reduced replication and enhanced ISG induction in human cells, defects fully rescued by STAT2 knockout. In A129 mice (type I IFN receptor deficient), mutant and WT viruses replicated comparably, but in human STAT2 knock-in mice, ZIKV-NS5L162G exhibited markedly reduced viral loads and disease. Notably, infection with ZIKV-NS5L162G elicited robust neutralizing antibody and T cell responses that conferred protection against WT challenge. Together, these findings establish NS5-mediated STAT2 degradation as a central determinant of ZIKV immune evasion, viral fitness and pathogenesis, and highlight disruption of NS5-STAT2 antagonism as a promising strategy for antiviral intervention and rational attenuation.

microbiology↗

bioRxiv2025

Pan-cancer tumor classification by a holistic tumor microenvironment atlas

The tumor microenvironment (TME) heterogeneity presents a major bottleneck to effective cancer immunotherapies. We address this by establishing a pan-cancer tumor classification system based on the holistic TME cellular components. First, using single-cell transcriptomes from 1,271 patients across 26 cancer types, we compile a TME cellular atlas, leading to the identification of recurrent cell states and multicellular modules across cancer types. Among these, we highlight a type I interferon (IFN-I)-related multicellular module, including IFIT1+ tumor-associated macrophages, as a critical contributor to immune-activation TMEs. From a holistic perspective, pan-cancer TMEs exhibit trichotomous patterns predominantly driven by T, myeloid, and stromal compartments. Leveraging fine-grained TME cellular composition, we further stratify all tumors into 10 stable groups. These groups display varying responses to immune checkpoint blockade (ICB), and each rationally selected therapeutic strategy specifically perturbs the corresponding expression signature. Our pan-cancer tumor classification scheme reveals the underlying patterns of TME heterogeneity and provides a framework for stratifying patients, guiding treatment selection, and developing novel therapeutic options.

cancer biology↗

bioRxiv2025

A Foundational Generative Model for Cross-platform Unified Enhancement of Spatial Transcriptomics

Spatial transcriptomics (ST) platforms are limited by spatial resolution, sensitivity to low expression levels, alignment with tissue structures, and the balance across tissue complexity. Computational enhancement typically targets a single challenge, e.g., super-resolution using hematoxylin and eosin (H&E) images or sensitivity enhancement with single-cell RNA sequencing (scRNA-seq). However, most ignore the interdependence across challenges, yielding biologically inconsistent enhancement. Here we introduce FOCUS, a foundational generative model for unified ST enhancement, conditioned on H&E images, scRNA-seq references, and spatial co-expression priors. With large-scale pretrained encoders, FOCUS uses a modular design for multimodal integration and a cross-challenge coordination strategy to target co-occurring challenges, enabling joint optimization. FOCUS was trained and comprehensively benchmarked on >1.7 million H&E-ST pairs and >5.8 million single-cell profiles, demonstrating state-of-the-art performance across ten ST platforms, on both individual and coupled challenges. The real-world utility and generalizability were validated on a rare suprasellar tumor, papillary craniopharyngioma, and an unseen ST platform (Open-ST) for primary and metastatic head and neck squamous cell carcinoma.

bioengineering↗

bioRxiv2025

Spatial proteomic mapping of the human and mouse retina using IBEX

PurposeTo generate a comparative spatial proteomic atlas of the human and mouse retina using a refined highly multiplexed immunohistochemistry technique called Iterative Bleaching Extends Multiplexity (IBEX). MethodsWe refined the IBEX workflow by integrating an antibody removal option alongside chemical bleaching. This dual strategy enabled removal of the entire antibody complex allowing for the flexible use of antibodies from the same host species across iterative cycles. Spatial proteomic data were cross-correlated to existing scRNAseq datasets. We also coupled this workflow with super-resolution imaging via deconvolution and applied it to the retina of healthy human, mouse and the Crb1rd8 mouse model. ResultsWe successfully imaged over 25 protein markers on human and mouse tissue sections, to generate spatial atlases of the major retinal cell populations. Cross-species protein expression was compared to scRNAseq datasets to identify protein and transcript disparities. Super-resolution IBEX delineated the ultrastructural features of the outer limiting membrane (OLM), identifying CD44 as a core structural component tightly co-localised with a highly organised F-actin belt within Muller glial endfeet. Using the Crb1rd8 mouse model, disruption of this complex was spatially associated with rosette formation and OLM structural failure. ConclusionSpatial proteomic atlases of the human and mouse retina were generated and correlated to transcriptional data, revealing insights into the arrangement of major retinal cell populations and OLM structure.

neuroscience↗

bioRxiv2025

Ultrahigh-Throughput Forster Resonance Energy Transfer-Activated Droplet Sorting for Terminator Polymerase Engineering

Droplet microfluidic screening systems enable high-throughput, labor-saving enzyme directed evolution by employing fluorescence, absorbance, and Raman-activated sorting strategies for library screening. Forster resonance energy transfer (FRET) - a nanoscale technique for monitoring intramolecular/intermolecular conformational changes - is yet to be integrated into this process. We upgraded a single-channel sorter to a dual-channel one without redesigning the microscopy setup, which can monitor FRET signals during enzyme reactions in droplets at kilohertz rates. We applied this upgraded sorter to improve the incorporation efficiency of KOD DNA polymerase towards reversible terminator deoxyribonucleotides, a property crucial for its application in next-generation sequencing (NGS). Our data show that a single-round sorting can achieve 30-fold enrichment of active variants. Five KOD variants enabling 100-cycle single-end runs of DNA sequencing were identified using a novel cyclic reversible termination (CRT) substrate featuring a terminator group {approx} 5-fold bulkier than the classical azidomethyl moiety. We also engineered a metagenome-derived novel polymerase, and a variant achieving 90% terminator incorporation efficiency within 2 minutes was identified after two rounds of enrichment. In sum, we provide a practical setup for dual-channel FRET-based droplet sorting, and demonstrate its ability in terminator polymerases engineering, thereby broaden the scope of microfluidic applications.

biochemistry↗

bioRxiv2025

Two Small Proteins Enable N2O Reduction in Acidic Environments

Denitrifying bacteria are major contributors to nitrous oxide (N2O) emissions, which rise with global soil acidification, likely because low pH impairs maturation of the periplasmic enzyme N2O reductase (NosZ) in most bacteria. While some bacteria can reduce N2O under acidic conditions, the underlying mechanism remain unclear. Here, we isolated bacteria from acidic soils and identified strains that efficiently reduce N2O at low pH. They carry two novel proteins, NosP and NosQ, along with NosZ clade I. Functional analyses of deletion mutants demonstrated that NosP and NosQ are essential for the maturation of NosZ at low pH, but are not required at circumneutral pH. Cryo-EM analysis indicates that NosPQ forms a protective complex with NosZ, safeguarding its maturation under acidic conditions. Metagenomic analysis shows that nosPQ genes are widely distributed across diverse bacterial taxa and soil types. Our findings reveal a key molecular adaptation mechanism for N2O reduction in acidic environments and provide valuable insights for developing efficient N2O mitigation strategies.

biochemistry↗

bioRxiv2025

A division-associated envelope protein, MAB_2363, drives intrinsic resistance and virulence in Mycobacterium abscessus

Mycobacterium abscessus exhibits intrinsic resistance to conventional antibiotics, significantly limiting treatment options. Our previous studies established that MAB_2362 (SteA) is a key regulator of cell division that contributes to intrinsic resistance and virulence. Considering that SteA-like proteins often act alongside SteB counterparts, we hypothesized that the adjacent gene MAB_2363 encodes the corresponding SteB-like division regulator. In this study, we found that deletion of MAB_2363 significantly increased susceptibility to multiple antibiotics and disrupted cell wall permeability. Microscopy revealed striking cell division defects in the mutant, including elongated cell morphology and multiple septa. Subcellular localization of a GFP-MAB_2363 fusion protein demonstrated its enrichment at division septa, confirming its direct involvement in cell division. Deletion of MAB_2363 resulted in attenuated virulence, as evidenced by reduced bacterial survival in macrophages and murine infection models. To assess its functional relation with MAB_2362, we compared the single-deletion mutant of MAB_2363 with the single-deletion mutant of MAB_2362 and the double-deletion mutant of MAB_2362-MAB_2363. Notably, the phenotypes of the MAB_2363 mutant, including cell division defects, antibiotic susceptibility, and virulence, were markedly milder than those of the other two mutants. Collectively, these findings indicate that MAB_2363 functions as a secondary but essential division-associated factor that operates during cell division, thereby influencing intrinsic resistance and virulence in M. abscessus.

microbiology↗

bioRxiv2025

Neural correlates of implicit memory for reoccurring sound patterns

The human brain exhibits remarkable sensitivity to auditory patterns. Previous research has shown that beyond the detection of such patterns, humans form memories for them that are implicit, robust to interference, and persistent over time. Here, we examine the mechanisms underlying implicit memory formation for reoccurring regular tone patterns using UHF fMRI. Prior to scanning, implicit memory was induced through a standard behavioral task where participants detected regular patterns embedded in random tone sequences. Unbeknownst to participants, five regular patterns reoccurred sporadically (every 1.5 min) across trials. Consistent with previous reports, behavioral performance indicated a reaction time advantage to reoccurring patterns, confirming the formation of implicit memory traces. During passive listening in the scanner, regularity engaged the superior temporal gyrus, inferior frontal gyrus, insula, putamen, and hippocampus, a result we interpret as reflecting the higher perceptual precision of regular patterns. Reoccurrence interacted with regularity in the superior temporal gyrus and a frontal cluster, showing higher activity for reoccurring compared to novel regular patterns. The hippocampus showed sensitivity to reoccurrence in both regular and random patterns. Together, these results indicate that the neocortex may selectively amplify reoccurring inputs in line with their enhanced (memory driven) perceptual precision.

neuroscience↗

bioRxiv2025

Temporal single-cell profiling uncovers age-associated delays in immune resolution to respiratory viral infection

Aging is a major risk factor for increased morbidity and mortality following acute respiratory virus infections. To elucidate the immune determinants underlying viral pathogenesis and delayed lung repair in the aged lung, a comprehensive time-course study was conducted. Single-cell RNA sequencing (scRNAseq) and high-dimensional flow cytometry were utilized to compare lungs from young and aged mice infected with influenza A virus (IAV). Aged hosts displayed diminished alveolar macrophage (AM) and dendritic cell (DC) but elevated monocyte-derived macrophage (MoM) and interstitial macrophage (IM) presence following infection. Additionally, enhanced accumulation of adaptive immune cells, including CD4+ tissue-resident helper (TRH) cells, CD8+ tissue-resident memory (TRM) cells, and a B cell subset resembling age-associated B cells, was observed in the memory phase. Pathway analysis revealed that elevated type I and II interferon (IFN/{gamma}) signaling, especially in MoM/IM subsets, distinguished the aged hosts from the young. Inhibition of IFN/{gamma} signaling after viral clearance improved long-term respiratory outcomes and reduced both IM and TRH populations in aged mice. These findings highlight the pivotal role of IFN/{gamma} signaling, likely within MoM/IM subsets, in driving the exuberant persistence of adaptive immune cells and chronic immunopathology in the aged lung following acute viral infection.

immunology↗

bioRxiv2025

Distributed fMRI patterns coupled to low-frequency cardiorespiratory dynamics provide markers of aging

How aging affects brain-body connections can be investigated through changes in the coupling between functional magnetic resonance imaging (fMRI) signals and bodily autonomic processes across the adult lifespan. Recent studies using univariate approaches have identified age-related changes in the association between fMRI signals from multiple individual brain regions and low-frequency respiratory and cardiac activity. Here, we investigate if whole-brain spatial fMRI patterns associated with low-frequency physiological processes (heart rate and respiratory volume fluctuations) present generalizable changes with age. Data from human participants of both sexes are included in the analysis. We find that chronological age can be predicted statistically beyond chance from patterns of low-frequency fMRI-physiology coupling, even after accounting for individual differences in physiological signal characteristics and brain anatomy. Notably, brain areas implicated in central autonomic regulation, including nodes within salience and ventral attention networks (e.g., insula and middle cingulate cortex), are amongst the strongest contributors to age prediction. Further, we observe that after removing physiological effects from fMRI data, the residual blood oxygen level-dependent (BOLD) signal variability is still a reliable indicator of age. Together, these findings underscore the close integration between brain and body physiology, and highlight this interaction as a potential biomarker of the aging process. Significance StatementThe association between brain activity and respiratory or cardiac activity is often dismissed as "noise" in functional magnetic resonance imaging (fMRI) studies. However, emerging evidence suggests that coupling between fMRI and peripheral physiological signals can provide valuable insight into the brain-body connection. In this study, we show that whole brain patterns of coupling between fMRI signals and low-frequency respiratory and cardiac processes can reliably predict age across the adult lifespan. Brain regions involved in autonomic regulation, such as insula and cingulate cortex, were among the most informative predictors of age. These findings suggest that fMRI-physiology coupling may capture aging-related changes in brain vascular health and autonomic function and may have broader relevance for tracking disease-related disruptions in brain-body interaction.

neuroscience↗