Biology subjects

Cui, H.

Publications and source records attributed to Cui, H..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

Color-neutral and reversible tissue transparency enables longitudinal deep-tissue imaging in live mice

Light scattering in biological tissue presents a significant challenge for deep in vivo imaging. Our previous work demonstrated the ability to achieve optical transparency in live mice using intensely absorbing dye molecules, which created transparency in the red spectrum while blocking shorter-wavelength photons. In this paper, we extend this capability to achieve optical transparency across the entire visible spectrum by employing molecules with strong absorption in the ultraviolet spectrum and sharp absorption edges that rapidly decline upon entering the visible spectrum. This new color-neutral and reversible tissue transparency method enables optical transparency for imaging commonly used fluorophores in the green and yellow spectra. Notably, this approach facilitates tissue transparency for structural and functional imaging of the live mouse brain labeled with yellow fluorescent protein and GCaMP through the scalp and skull. We show that this method enables longitudinal imaging of the same brain regions in awake mice over multiple days during development. Histological analyses of the skin and systemic toxicology studies indicate minimal acute or chronic damage to the skin or body using this approach. This color-neutral and reversible tissue transparency technique opens new opportunities for noninvasive deep-tissue optical imaging, enabling long-term visualization of cellular structures and dynamic activity with high spatiotemporal resolution and chronic tracking capabilities. Significance StatementTissue scattering represents a major barrier to deep tissue imaging in vivo. We recently showed that tissue can be rendered transparent in the red spectrum using intensely absorbing dye molecules. Here, we introduce a new, color-neutral and reversible tissue transparency approach. We demonstrate longitudinal structural and functional imaging in the deep tissue of awake mice.

bioengineering↗

bioRxiv2025

LUMI-lab: a Foundation Model-Driven Autonomous Platform Enabling Discovery of New Ionizable Lipid Designs for mRNA Delivery

The complexity of molecular discovery requires autonomous systems that efficiently explore vast and uncharted chemical spaces. While integrating artificial intelligence (AI) with robotic automation has accelerated discovery, its application remains constrained in fields with scarce historical data. One such challenge is the design of lipid nanoparticles (LNPs) for mRNA delivery, which has relied on expert-driven design and is hindered by limited datasets. Here, we introduce LUMI-lab, a self-driving lab (SDL) system that enables efficient learning with minimal wet-lab data by integrating a molecular foundation model with an automated active-learning experimental workflow. Through ten iterative cycles, LUMI-lab synthesized and evaluated over 1,700 LNPs, identifying ionizable lipids with superior mRNA transfection potency in human bronchial cells compared to clinically approved benchmarks. Unexpectedly, it autonomously uncovered brominated lipid tails as a novel feature enhancing mRNA delivery. In vivo validation further confirmed that inhalation of LNPs containing the top-performing lipid, LUMI-6, achieved 20.3% gene editing efficacy in lung epithelial cells in murine models, surpassing the highest efficiency reported for inhaled LNP-mediated CRISPR-Cas9 delivery in mice to our knowledge. These findings demonstrate LUMI-lab as a powerful, data-efficient platform for advancing mRNA delivery, highlighting the potential of AI-driven autonomous systems to accelerate innovation in material science and therapeutic discovery.

biochemistry↗

bioRxiv2025

A Generalized Platform for Artificial Intelligence-powered Autonomous Protein Engineering

Proteins are the molecular machines of life with numerous applications in energy, health, and sustainability. However, engineering proteins with desired functions for practical applications remains slow, expensive, and specialist-dependent1-3. Here we report a generally applicable platform for autonomous protein engineering that integrates machine learning and large language models with biofoundry automation to eliminate the need for human intervention, judgement, and domain expertise. Requiring only an input protein sequence and a quantifiable way to measure fitness, this autonomous platform can be applied to engineer virtually any protein. As a proof of concept, we engineered Arabidopsis thaliana halide methyltransferase (AtHMT)4 for a 90-fold improvement in substrate preference and 16-fold improvement in ethyltransferase activity, along with developing a Yersinia mollaretii phytase (YmPhytase)5,6 variant with 26-fold improvement in activity at neutral pH. This was accomplished in four rounds over four weeks, while requiring construction and characterization of fewer than a total of 500 variants for each enzyme. This platform for autonomous experimentation paves the way for rapid advancements across diverse industries, from medicine and biotechnology to renewable energy and sustainable chemistry.

synthetic biology↗

bioRxiv2025

scGPT-spatial: Continual Pretraining of Single-Cell Foundation Model for Spatial Transcriptomics

Spatial transcriptomics has emerged as a pivotal technology for profiling gene expression of cells within their spatial context. The rapid growth of publicly available spatial data presents an opportunity to further our understanding of microenvironments that drive cell fate decisions and disease progression. However, existing foundation models, largely pretrained on single-cell RNA sequencing (scRNA-seq) data, fail to resolve the spatial relationships among samples or capture the unique distributions from various sequencing protocols. We introduce scGPT-spatial, a specialized foundation model for spatial transcriptomics continually pretrained on our previously published scGPT scRNA-seq foundation model. We also curate SpatialHuman30M, a comprehensive spatial transcriptomics dataset comprising of 30 million spatial transcriptomic profiles, encompassing both imaging- and sequencing-based protocols. To facilitate integration, scGPT-spatial introduces a novel MoE (Mixture of Experts) decoder that adaptively routes samples for protocol-aware decoding of gene expression profiles. Moreover, scGPT-spatial employs a spatially-aware sampling strategy and a novel neighborhood-based training objective to better capture spatial co-localization patterns among cell states within tissue. Empirical evaluations demonstrate that scGPT-spatial robustly integrates spatial data in mulit-slide and multi-modal settings, and effectively supports cell-type deconvolution and contextualized missing gene expression imputation, outperforming many existing methods. The scGPT-spatial codebase is publicly available at https://github.com/bowang-lab/scGPT-spatial.

bioinformatics↗

bioRxiv2025

Catalyzing computational biology research at an academic institute through an interest network

Biology has been transformed by the rapid development of computing and the concurrent rise of data-rich approaches such as -omics or high-resolution imaging. However, there is a persistent computational skills gap in the biomedical research workforce. Inherent limitations of classroom teaching and institutional core support highlight the need for accessible ways for researchers to explore developments in computational biology. An analysis of the Scripps Research Genomics Core revealed an increasingly diverse set of experiments: the share of experiments other than bulk RNA- or DNA-seq increased from 34% to 60% within 10 years, requiring more tailored computational analyses. These challenges were tackled by forming a volunteer-led affinity group of over 300 academic biomedical researchers interested in computational biology referred to as the Computational Biology and Bioinformatics (CBB) affinity group. This adaptive group has provided continuing education and networking opportunities through seminars, workshops and coding sessions while evolving along with the needs of its members. A survey of CBBs impact confirmed the groups events increased the members exposure to computational biology educational and research events (79% respondents) and networking opportunities (61% respondents). Thus, volunteer-led affinity groups may be a viable complement to traditional institutional resources for enhancing the application of computing in biomedical research.

bioinformatics↗

bioRxiv2025

Next-Generation Mapping of the ACINUS-Mediated Alternative Splicing Machinery and Its Regulation by O-glycosylation in Arabidopsis

Alternative splicing (AS) is a key mechanism of gene regulation, but the full repertoire of proteins involved and the regulatory mechanisms governing this process remain poorly understood. Using TurboID-based proximity labeling coupled with mass spectrometry (PL-MS), we comprehensively mapped the Arabidopsis AS machinery, focusing on the evolutionarily conserved splicing factor ACINUS, its paralog PININ, and the stable interactor SR45. We identified 298 high-confidence components, including both established and novel interactors, providing strong evidence that alternative splicing is coupled to transcription and that multiple RNA processing steps occur simultaneously in plants. Bioinformatic analysis reveals high redundancy, conserved mechanisms, and unique plant-specific features. Selected known and novel interactors were validated by AS readouts and phenotypic analysis, which also revealed a coordinated influence on splicing. Furthermore, a systematic evaluation of O-glycosylation double mutants revealed that SECRET AGENT (O-GlcNAc transferase) and SPINDLY (O-fucose transferase) modulate AS through both ACINUS-dependent and -independent pathways. Our results reveal the conserved as well as plant-specific AS regulatory network and highlight the global role of sugar modification in RNA processing.

plant biology↗

bioRxiv2024

Structure-based Design of Chimeric Influenza Hemagglutinins to Elicit Cross-group Immunity

Antigenic variability among influenza virus strains poses a significant challenge to developing broadly protective, long-lasting vaccines. Current annual vaccines target specific strains, requiring accurate prediction for effective neutralization. Despite sequence diversity across phylogenetic groups, the hemagglutinin (HA) head domains structure remains highly conserved. Utilizing this conservation, we designed cross-group chimeric HAs that combine antigenic surfaces from distant strains. By structure-guided transplantation of receptor-binding site (RBS) residues, we displayed an H3 RBS on an H1 HA scaffold. These chimeric immunogens elicit cross-group polyclonal responses capable of neutralizing both base and distal strains. Additionally, the chimeras integrate heterotrimeric immunogens, enhancing modular vaccine design. This approach enables the inclusion of diverse strain segments to generate broad polyclonal responses. In the future, such modular immunogens may serve as tools for evaluating immunodominance and refining immunization strategies, offering potential to bridge and enhance immune responses in individuals with pre-existing immunity. This strategy holds promise for advancing universal influenza vaccine development. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/628867v2_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@18dec5borg.highwire.dtl.DTLVardef@98587forg.highwire.dtl.DTLVardef@1d9fb2dorg.highwire.dtl.DTLVardef@1f97884_HPS_FORMAT_FIGEXP M_FIG Graphical abstract: Overview of cross-group RBS transplantation approachPhylogenetically diverse HA strains can be incorporated into chimeric immunogens by RBS transplantation. The chimera are evaluated for cross-reactivity to subtype-specific antibodies and the ability to elicit neutralizing antibodies to multiple strains. C_FIG

biochemistry↗

bioRxiv2024

Continuous sensorimotor transformation enhances robustness of neural dynamics to perturbation in macaque motor cortex

Neural activity in the motor cortex dynamically evolves to plan and generate movement. How motor cortex adapts to dynamic environments or perturbations remains to be fully explored. In this study, we investigated whether dynamic nature of targets in a reach task requires distinct preparatory dynamics in motor cortex and result in varying levels of robustness against disruptions. Two monkeys were trained to perform delayed center-out reaches either to a static target (static condition) or a rotating target that needed to be intercepted (moving condition). Despite nearly identical hand kinematics in both two conditions, responses to the perturbation of intracortical microstimulation (ICMS) differed. In the static condition, ICMS led to prolonged reaction times, particularly when delivered shortly before movement onset and at anterior sites in PMd, aligning with previous findings. Unexpectedly, ICMS reduced reaction times in the moving condition. Furthermore, neural firing rates differed between the static and the moving conditions, with population activity in the latter exhibiting more rapid changes post-perturbation. Spatio-temporal sensorimotor transformation dominated throughout the preparation in the moving condition, while the static condition showed less stable motor intention representation, particularly during the late delay period. An input-driven model replicated the differences in RT-prolonging effect by assuming distinct input control strategy for the static and the moving condition. These findings suggest that input from a moving target to motor cortex can counteract ICMS effects, enabling the motor network to generate appropriate commands more quickly. Lastly, we propose that ICMS may facilitate go cue recognition, providing a potential explanation for the shortened reaction times in the moving condition.

neuroscience↗

bioRxiv2024

MethylGPT: a foundation model for the DNA methylome

DNA methylation serves as a powerful biomarker for disease diagnosis and biological age assessment. However, current analytical approaches often rely on linear models that cannot capture the complex, context-dependent nature of methylation regulation. Here we present MethylGPT, a transformer-based foundation model trained on 226,555 (154,063 after QC and deduplication) human methylation profiles spanning diverse tissue types from 5,281 datasets, curated 49,156 CpG sites, and 7.6 billion training tokens. MethylGPT learns biologically meaningful representations of CpG sites, capturing both local genomic context and higher-order chromosomal features without external supervision. The model demonstrates robust methylation value prediction (Pearson R=0.929) and maintains stable performance in downstream tasks with up to 70% missing data. Applied to age prediction across multiple tissue types, MethylGPT achieves superior accuracy compared to existing methods. Analysis of the models attention patterns reveals distinct methylation signatures between young and old samples, with differential enrichment of developmental and aging-associated pathways. When finetuned to mortality and disease prediction across 60 major conditions using 18,859 samples from Generation Scotland, MethylGPT achieves robust predictive performance and enables systematic evaluation of intervention effects on disease risks, demonstrating potential for clinical applications. Our results demonstrate that transformer architectures can effectively model DNA methylation patterns while preserving biological interpretability, suggesting broad utility for epigenetic analysis and clinical applications.

systems biology↗

bioRxiv2024

Elevated NAD+ drives Sir2A-mediated GCβ deacetylation and OES localization for Plasmodium ookinete gliding and mosquito infection

cGMP signal-activated ookinete gliding is essential for mosquito midgut infection of Plasmodium in malaria transmission. During ookinete development, cGMP synthesizer GC{beta} polarizes to a unique localization <ookinete extrados site= (OES) until ookinete maturation and activates cGMP signaling for initiating parasite motility. However, the mechanism underlying GC{beta} translocation from cytosol to OES remains elusive. Here, we used protein proximity labeling to search the GC{beta}-interacting proteins in ookinetes of the rodent malaria parasite P. yoelii, and found the top hit Sir2A, a NAD+-dependent sirtuin family deacetylase. Sir2A interacts with GC{beta} throughout ookinete development. In mature ookinetes, Sir2A co-localizes with GC{beta} at OES in a mutually dependent manner. Parasites lacking Sir2A lose GC{beta} localization at OES, ookinete gliding, and mosquito infection, phenocopying GC{beta} deficiency. GC{beta} is acetylated at gametocytes but is deacetylated by Sir2A for OES localization at mature ookinetes. We further demonstrated that the level of NAD+, an essential co-substrate for sirtuin, increases during the ookinete development. The NAD+ at its maximal level until ookinete maturation promotes Sir2A-catalyzed GC{beta} deacetylation, ensuring GC{beta} localization at OES. This study highlights the spatiotemporal coordination of cytosolic NAD+ level and NAD+-dependent Sir2A in regulating GC{beta} deacetylation and dynamic localization for Plasmodium ookinete gliding.

microbiology↗

bioRxiv2024

Endogenous retroviruses activate MARCO-mediated inflammatory response to block retroviral infection

Endogenous retroviruses (ERVs) are remnants of ancient retroviral infections and can profoundly affect the host antiviral innate immune response, although the mechanisms by which these changes occur are largely unknown. Here we report that chicken-specific ERVs exert genetic resistance to exogenous retrovirus infection. Mechanistically, chicken-specific ERVs activated the scavenger receptor MARCO (macrophage receptor with collagenous structure)-mediated TLR3-IL-1{beta} inflammatory response in macrophages. Under the presence of MARCO, macrophages response to viral infection through inducing TLR3-IL-1{beta} inflammatory response. Conversely, lack of MARCO increased the viral replication levels and attenuated the antiviral inflammatory response. MARCO-mediated ligand delivery enhances TLR3-IL-1{beta} antiviral response, and IL-1{beta} expression is responsible for viral inhibition. Restoring MARCO or IL-1{beta} expression overcomes viral infection in macrophages. Our study provides new insights into the molecular mechanisms underlying the host defense against exogenous retroviruses infection and may have important implications for the development of novel therapeutic strategies against retroviruses infection.

immunology↗

bioRxiv2024

Fc-dependent protective efficacy of non-inhibitory antibodies targeting influenza A virus neuraminidase is limited by epitope availability

Antibodies targeting hemagglutinin and neuraminidase (NA) are key components of the adaptive immune response against influenza A virus (IAV). However, antigenic drift allows the virus to escape inhibition by such antibodies. In this study, we aimed to isolate antibodies with cross-subtype reactivity against human H1N1 and H3N2 IAVs from transgenic mice bearing genes encoding the human immunoglobulin variable regions. We immunized these mice with recombinant N1 and N2 NA proteins, presenting them either as unconjugated soluble proteins or conjugated to self-assembling protein nanoparticles. This approach yielded a panel of NA-specific monoclonal antibodies (mAbs) with various levels of intra-and inter-subtype reactivity for N1 and N2 NA. Three of these mAbs, which collectively recognize two distinct epitopes, were cross-reactive against N1 and N2 NAs in ELISA, but did not inhibit NA enzymatic activity. Two of these mAbs, 21H8 and 45D9, were selected for further characterization. These recognized different epitopes and induced Fc-mediated effector functions to varying extents. Prophylactic administration of 21H8, but not 45D9, protected mice against challenge with H1N1 IAV, while neither mAb protected against a H3N2 challenge. The observed protective efficacy correlated with the mAbs capacity, or lack thereof, to bind membrane-associated full-length NA. The introduction of Fc silencing mutations in mAb 21H8 resulted in an inability to activate NK cells or mediate phagocytosis in vitro and significantly reduced protection in vivo, indicating that the protective efficacy of mAb 21H8 is Fc-dependent. However, mAb 21H8 expressed with reduced core fucosylation of its Fc N-glycan, which specifically enhanced NK cell activation in vitro, failed to improve protection against H1N1 challenge in vivo. Future work is needed to decipher in more detail the mechanism of Fc-mediated protection against influenza via NA-specific antibodies and to identify the optimal strategies for their enhancement.

microbiology↗

bioRxiv2024

A Unified Atlas of T cell Glycophysiology

Glycans are emerging as important regulators of T cell function but remain poorly characterized across the functionally distinct populations that exist in vivo. Here, we couple single-cell analysis technologies with soluble lectins and chemical probes to interrogate glycosylation patterns on major T cell populations across multiple mouse and human tissues. Our analysis focused on terminal glycan epitopes with immunomodulatory functions, including sialoglycan ligands for Siglecs. We demonstrate that glycosylation patterns are diverse across the resting murine T cell repertoire and dynamically remodelled in response to antigen-specific stimulation. Surprisingly, we find that human T cell populations do not share the same glycoprofiles or glycan remodelling dynamics as their murine counterparts. We show that these differences can be explained by divergent regulation of glycan biosynthesis pathways between the species. These results highlight fundamental glycophysiological differences between mouse and human T cells and reveal features that are critical to consider for glycan-targeted therapies.

immunology↗

bioRxiv2024

A telosma mosaic virus-based vector for foreign gene expression and virus-induced gene silencing in the perennial woody vine, passion fruit (Passiflora edulis)

Passion fruit (Passiflora edulis) is a perennial, woody, tropical vine crop. It produces edible round to oval fruit that has been increasingly favored for its unique aroma and taste, and richness in antioxidants, vitamins and minerals. However, the functional genomic study of passion fruit lags far behind due to a lack of simple and efficient genetic tools. Here, we report the development of virus-mediated protein overexpression (VOX) and virus-induced gene silencing (VIGS) vector based on telosma mosaic virus (TelMV), an emerging potyvirus infecting passion fruit plants worldwide. This vector, designated pTelMV-GW, incorporates the Gateway-compatible recombination sites for rapid gene cloning. We show that this vector allows for the systemic stable expression of two heterologous proteins, green fluorescent protein (GFP) and bacterial phytoene synthase (crtB) in passion fruit plants, and pTelMV-GW containing different fragments of GFP can also induce systemic gene silencing on the GFP-transgenic N. benthamiana plants. Moreover, we demonstrated that in passion fruit plants, this vector can trigger gene silencing of endogenous phytoene desaturase (PDS) to a limited extent. Furthermore, we upgraded the vector by using a mild TelMV strain that does not induce noticeable symptoms in plants. We show that the upgraded vector (pTelMV-R181K-GW) containing PDS or ChlI fragments induces the robust silencing of the corresponding endogenous gene in passion fruit plants. Together, we reported the first development of VIGS and VOX vectors in passion fruit plants, as the first step in our endeavor to discover horticulturally important genes for improving passion fruit production and quality.

plant biology↗

bioRxiv2024

SASH1 impairs melanin synthesis and metastasis by down-regulating the TGF-β signaling pathway

Dyschromatosis universalis hereditaria (DUH) is a rare genetic dermatosis characterized by widespread hyperpigmentation and depigmentation. In our previous study, we identified SH3 domain-containing protein 1 (SASH1) mutations associated with the DUH phenotype in Chinese families and predict SASH1/THBS1/TGF-{beta}1 signaling to mediate melanin production and melanocyte transport. We detected SASH1/THBS1/TGF-{beta}1 pathway genes expression and evaluated cell phenotypes and melanin synthesis in A375 and PIG1 cell lines by regulating the expression of SASH1 and THBS1 respectively. Finally, we validated the results of the cellular experiments in nude mice. Results showed that SASH1 inhibited the proliferation, migration, invasion, EMT ability and melanin synthesis via TGF-{beta}1 signaling, and THBS1 reversed the elevation of TGF-{beta}1 caused by SASH1 knockdown. We demonstrated that SASH1 further inhibits TGF-{beta}1 through its regulatory effect on THBS1, thereby inhibiting melanin synthesis and metastasis, which may advance the utilization of TGF-{beta}1 for therapeutic purposes. Plain Language SummaryDyschromatosis universalis hereditaria(DUH) is a genetic disease showing uneven pigment pattern, which greatly affects the appearance. In our previous study, we had reported a SASH1 mutation in a Chinese DUH pedigree. In this study, we mainly focus on the effect of SASH1 gene on pigment synthesis and metabolism at the cell and animal level. The results show SASH1 inhibits the melanin synthesis of melanocytes, it can also hinder cell migration, invasion, and EMT. More than that, SASH1 reduced TGF-{beta}1 mRNA, protein expression and promoter activity, and THBS1 could discharge this effect. In mice, SASH1 inhibits the tumor growth via TGF-{beta}1 signaling. We detected a novel SASH1/THBS1/TGF-{beta}1 pathway in cell phenotypes and melanin synthesis.

cell biology↗

bioRxiv2024

AARS Online: a collaborative database on the structure, function, and evolution of the aminoacyl-tRNA synthetases

The aminoacyl-tRNA synthetases (aaRS) are a large group of enzymes that implement the genetic code in all known biological systems. They attach amino acids to their cognate tRNAs, moonlight in various non-translational activities, and are linked to many genetic disorders. The aaRS have a subtle ontology characterized by structural and functional idiosyncrasies that vary from organism to organism, and protein to protein. Across the tree of life, the twenty-two coded amino acids are handled by sixteen evolutionary Families of Class I aaRS and twenty-one Families of Class II aaRS. We introduce AARS Online, an interactive Wikipedia-like tool curated by an international consortium of field experts. This platform systematizes existing knowledge about the aaRS by showcasing a taxonomically diverse selection of aaRS sequences and structures. Through its graphical user interface, AARS Online facilitates a seamless exploration between protein sequence and structure, providing a friendly introduction to the material for non-experts and a useful resource for experts. Curated multiple sequence alignments can be extracted for downstream analyses. Accessible at www.aars.online, AARS Online is a free resource to delve into the world of the aaRS.

biochemistry↗

bioRxiv2024

A conserved lysine/arginine-rich motif in potyviral 6K1 protein is key in engaging autophagy-mediated self-degradation for completing pepper veinal mottle virus infection

Potyviruses possess one positive-sense single-stranded RNA genome mainly with polyprotein processing as their gene expression strategy. The resulting polyproteins are proteolytically processed by three virus-encoded proteases into 11 or 12 mature proteins. One of such, 6-kDa peptide 1 (6K1), is an understudied viral factor. Its function in viral infection remains largely mysterious. This study is to reveal part of its roles by using pepper veinal mottle virus (PVMV) as a model virus. Alanine substitution screening analysis revealed that 15 out of 17 conserved residues across potyviral 6K1 sequences are essential for PVMV infection. However, 6K1 protein is less accumulated in virus-infected cells, even though P3-6K1 junction is efficiently processed by NIa-Pro for its release, indicating that 6K1 undergoes a self-degradation event. Mutating the cleavage site to prevent NIa-Pro processing abolishes viral infection, suggesting that the generation of 6K1 along with its degradation might be important for viral multiplication. We corroborated that cellular autophagy is engaged in 6K1s degradation. Individual engineering of the 15 6K1 variants into PVMV was performed to allow for their expression along with viral infection. Five of such variants, D30A, V32A, K34A, L36A, and L39A, significantly interfere with viral infection. The five residues are enclosed in a conserved lysine/arginine-rich motif; four of them appear to be crucial in engaging autophagy-mediated self-degradation. Based on these data, we envisaged a scenario that potyviral 6K1s interact with an unknown anti-viral component to be co-degraded by autophagy to promote viral infection. IMPORTANCEPotyvirus is the largest genus of plant-infecting RNA viruses, which encompasses socio-economically important virus species, such as Potato virus Y, Plum pox virus, and Soybean mosaic virus. Like all picorna-like viruses, potyviruses express their factors mainly via polyprotein processing. Theoretically, viral factors P3 through CP, including 6K1, should share an equivalent number of molecules. The 6K1 is small in size ([~]6 kDa) and conserved across potyviruses, but less accumulated in virus-infected cells. This study demonstrates that cellular autophagy is engaged in the degradation of 6K1 to promote viral infection. In particular, we found a conserved lysine/arginine-rich motif in 6K1s across potyviruses that is engaged in this degradation event. This finding reveals one facet of a small protein that help understand the pro-viral role of cellular autophagy in viral infection.

microbiology↗

bioRxiv2024

Moving towards precision TMS? Evaluating individual differences and reproducibility of personalized stimulation targets in UK Biobank

ObjectivePersonalized transcranial magnetic stimulation (TMS) targeting, guided by functional connectivity (FC), shows potential in treating depression. The present study aims to map individual FC peak location using UK Biobank, to evaluate individual differences and reproducibility of FC-based targets. MethodsWe analyzed UK Biobank resting-state fMRI (rfMRI) of 35,423 participants, identifying individual FC peak locations on the dorsolateral prefrontal cortex (DLPFC) that functionally connected to the subcallosal cingulate, amygdala, and ventromedial prefrontal cortex, respectively. Euclidean distance between each participants individual peak and group-average peak was calculated. With follow-up rfMRI of 1341 participants, within-subject FC peak location changes were calculated. We also compared common TMS targets and random locations for their median distance to individual peaks in a permutation test. ResultsSeed-based FC analyses revealed large differences in the individual FC peak location on DLPFC: the mean distance from the individual peaks to group-average peak ranged from 14.24 to 29.92mm; 70% to 94% of participants were >10mm away from the group-average peak and potentially located outside of the TMS effective area with common TMS coils. Similar variability was observed in within-subject peak locations across two fMRI assessments. Common TMS targets and the group-average FC peak showed no significant difference in median distances to individual FC peaks when compared to random locations. ConclusionsFC peak location shows wide inter- and intra-individual variability. We emphasize a role for individualized TMS neuronavigation targeting but emphasize the need for more reliable biomarker studies.

neuroscience↗