Biology subjects

Cui, H.

Publications and source records attributed to Cui, H..

At least 73 records · Page 4Linked to original sources

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↗

bioRxiv2024

Immune regulators EDS1 and PAD4 constrain ADR1-dependent disease resistance in rice

Withdrawal StatementThe authors have withdrawn this manuscript owing to finding inconsistencies in genotyping of kitaake rice eds1 pad4 double mutant lines and to establishing that combined loss of EDS1 and PAD4 does not underlie the stunted autoimmune-like phenotype reported in this preprint. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding authors: Jane Parker, Thomas Kroj and Haitao Cui (co-corresponding)

plant biology↗

bioRxiv2024

Random adversarial threshold search enables automated DNA screening

Custom DNA synthesis underpins modern biology, but controlled genes in the wrong hands could threaten many lives and public trust in science. In .1992, a virology-trained mass murderer tried and failed to obtain physical samples of Ebola; today, viruses can be assembled from synthetic DNA fragments. Screening orders for controlled sequences is unreliable and expensive because current similarity search algorithms yield false alarms requiring expert human review. Exact-match search can achieve perfect specificity among short known sequences by detecting subsequences unique to controlled genes, but can be trivially evaded by incorporating mutations. Here we rescue exact-match search by additionally screening for predicted functional variants of pseudo-randomly chosen subsequences that arent found in known unregulated genes. To experimentally assess robustness, we protected nine windows from the M13 bacteriophage virus, then invited a "red team" to launch up to 21,000 attacks at each window and measure the fitness of their designed mutants. We identified defensible windows from regulated pathogens, built a test database that our experiments indicate will block 99.999% of functional attacks, and verified its sensitivity against redesigned enzymes. Exact-match search with functional variant prediction offers a promising way to safeguard biotechnology by automating DNA synthesis screening. SummarySearching for exact matches to pre-computed functional variants unique to controlled genes enables sensitive, secure, and automated DNA synthesis screening.

synthetic biology↗

bioRxiv2024

Mutating the arginine residue within the FRNK motif of HC-Pro yield highly attenuated strains that confer complete cross protection against telosma mosaic virus (TelMV) in passion fruit (Passiflora edulis)

Telosma mosaic virus (TelMV, Potyvirus, Potyviridae) is an emerging viral pathogen causing a major global threat to passion fruit plantations. However, an efficient strategy for controlling such viruses is not yet available. Cross protection is a phenomenon in which pre-infection of a plant with one virus prevents or delays superinfection with the same or closely related virus. HC-Pro is the potyviral encoded multifunctional protein involved in several steps of viral infection, including multiplication, movement, transmission and RNA silencing suppression. The main hypothesis we tested in this study was whether it is possible to generate attenuated viral strains capable of conferring protection against severe TelMV infection by manipulating the HC-Pro gene. By introducing point mutation into the potyviral conserved motif FRNK of HC-Pro, we have successfully obtained three highly attenuated mutants of TelMV (R181K, R181D and R181E, respectively) that can systemically infect passion fruit plants without any noticeable symptoms. Importantly, these mutants confer complete protection against subsequent infection of severe recombinant virus TelMV-GFP, evidenced by no detection of viral RNA or protein of the superinfection virus in the systemic leaves of passion fruit plants in both early and late stages. Lastly, we demonstrated that the HC-Pros harbored by the highly attenuated mutants exhibited reduced RNA silencing suppression activity in Nicotiana benthamiana leaves. Altogether, this study provides the first demonstration of the generation of highly attenuated strains for TelMV and highlights key amino acid residue involved in complete cross protection against TelMV, opening a new avenue to fight TelMV in the field.

pathology↗

bioRxiv2024

Reconceptualizing programmed transcriptional slippage in RNA viruses

RNA viruses have evolved sophisticated strategies to exploit the limited encoded information within their typically compact genomes. One of such, named programmed transcriptional slippage (PTS), is defined by the insertion of an additional A at An motifs (n [≥] 6) of newly synthetized viral transcripts to get access to overlapping open reading frames (ORFs). Although key proteins from Ebolavirus and potyvirids (members of the Potyviridae family) are expressed via PTS, available information about this phenomenon is very scarce. Here, by using diverse experimental approaches and a collection of plant/virus combinations, we discover cases in which PTS does not fit with its current definition. In summary, we observe (i) high rate of single nucleotide deletions at slippage motifs, (ii) overlapping ORFs acceded by slippage at an U8 stretch, and (iii) significant changes in slippage rates induced by factors not related to cognate viruses. Moreover, a survey of full-genome sequences from potyvirids shows a widespread occurrence of species-specific An/Un (n [≥] 6) motifs. Even though many of them, but not all, lead to the production of truncated proteins rather than access to overlapping ORFs, these results suggest that slippage motifs appear more frequently than expected and play relevant roles during virus evolution. In conclusion, our data prompt to broaden PTS definition in RNA viruses. Considering the potential of this phenomenon to expand the viral proteome by acceding to overlapping ORFs and/or producing truncated proteins, a revaluation of PTS significance during infections of RNA viruses is required. IMPORTANCEProgrammed transcriptional slippage (PTS) is used by RNA viruses as another strategy to maximise the coding information in their genomes. This phenomenon is based on a peculiar feature of viral replicases: they insert an untemplated A in An motifs (n [≥] 6) in a small fraction of newly synthesised viral RNAs. As a consequence, ribosomes can get access to overlapping open reading frames (ORFs) when translating those particular transcripts. Here, using plant-infecting RNA viruses as models, we discover cases challenging the previously stablished definition of viral PTS, prompting us to reconsider and redefine this expression strategy. An interesting conclusion from our study is that PTS might be more relevant during RNA virus evolution and infection processes than previously assumed.

molecular biology↗

bioRxiv2023

Virus-induced gene silencing (VIGS) as a tool for functional genetic analysis in passion fruit plants

Passion fruit (Passiflora edulis) is grown perennially in sub-tropical and tropical areas. Its fruits contain multiple vitamins and antioxidants, and thus are consumed increasingly in drinks and foods. However, the functions and regulations of genes that are engaged in the biosynthesis of the health-promoting compounds in passion fruits remain largely unknown. Its whole genome sequence has just been published recently. Virus-induced gene silencing (VIGS) is a reverse genetics tool for analyzing gene function. Here, we engineered telosma mosaic virus (TelMV), a potyvirus infecting passion fruit, into a VIGS vector by inserting the Gateway-compatible recombination sites. The newly constructed TelMV-VIGS virus successfully expressed foreign protein and induced systemic infection in both Nicotiana benthamiana and P. edulis plants. Intriguingly, TelMV-VIGS vector containing different fragments of green fluorescent protein (GFP) gene induced systemic gene silencing on the GFP-transgenic N. benthamiana plants (16c). When the phytoene desaturase (PDS) gene, an endogenous gene in passion fruit, was engineered into the vector, it triggered the silencing of PePDS, as evidenced by the reduced mRNA levels and photobleached phenotype. We reported the first development of VIGS vector in passion fruit, as the first step in our endeavor of discovering horticulturally important genes for improving passion fruit production and quality.

plant biology↗

bioRxiv2023

Maternal H3.3-Mediated Paternal Genome Reprogramming Contributes to Minor Zygotic Genome Activation

In mice, zygotic genome activation (ZGA) is initiated at the late-one-cell stage, accompanied by an extensive incorporation of the histone variant H3.3 into the parental genomes. However, it is unclear how H3.3 engages in the onset of ZGA. Here, using the H3.3B-HA-tagged mouse model, we found that the paternal and maternal genomes are activated asynchronously. Paternally expressed H3.3 begins deposition on the zygotic genome at the early two-cell stage, whereas the deposition of maternally expressed H3.3 is delayed until the four-cell stage. Oocyte-stored maternal H3.3 (mH3.3) is crucial for cleavage development and minor ZGA. Deposition of mH3.3 on the paternal genome occurs globally during the protamine-to-histone transition but shows preferential enrichment at CpG-rich TSSs after the initial round of DNA replication. Depletion of mH3.3 can lead to a loss of H3K27ac, resulting in minor ZGA failure and early embryonic arrest. Mechanistically, mH3.3 deposition on the sperm genome removes repressive histone modifications, promotes the establishment of active histone modifications, and in turn enables the initiation of minor ZGA from the paternal genome. Our study highlights the pivotal role of mH3.3 in paternal genome reprogramming and minor ZGA initiation.

genetics↗

bioRxiv2023

Brain-Age Prediction: Systematic Evaluation of Site Effects, and Sample Age Range and Size

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model. Here we expand this work to develop, empirically validate, and disseminate a pre-trained brain-age model to cover most of the human lifespan. To achieve this, we selected the best-performing model after systematically examining the impact of site harmonization, age range, and sample size on brain-age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5-90 years; 53.59% female). The pre-trained models were tested for cross-dataset generalizability in an independent sample comprising 2,101 healthy individuals (age range: 8-80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9-25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age-bins (5-40 years and 40-90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain-age prediction plateaued at a sample size exceeding 1,600 participants. These findings have been incorporated into CentileBrain [https://centilebrain.org/#/brainAGE2], an open-science, web-based platform for individualized neuroimaging metrics.

bioinformatics↗

bioRxiv2023

Non-modular Fatty Acid Synthases Yield Unique Acylation in Ribosomal Peptides

Recent efforts in genome mining of ribosomally synthesized and post-translationally modified peptides (RiPPs) have expanded the diversity of post-translational modification chemistries1, 2. However, RiPPs are rarely reported as hybrid molecules incorporating biosynthetic machineries from other natural product families3-8. Here, we report lipoavitides, a class of RiPP/fatty acid hybrid lipopeptides that display a unique, membrane-targeting 4-hydroxy-2,4-dimethylpentanoyl (HMP)-modified N-terminus. The HMP is formed via condensation of isobutyryl-CoA and methylmalonyl-CoA catalyzed by a 3-ketoacyl-ACP synthase III enzyme, followed by successive tailoring reactions in the fatty acid biosynthetic pathway. The HMP and RiPP substructures are then connected by an acyltransferase exhibiting promiscuous activity towards the fatty acyl and RiPP substrates. Overall, the discovery of lipoavitides contributes a prototype of RiPP/fatty acid hybrids and provides possible enzymatic tools for lipopeptide bioengineering.

biochemistry↗

bioRxiv2023

An axonemal intron splicing program sustains Plasmodium male development

Differentiation of male gametocyte into flagellated fertile male gamete relies on the axoneme assembly, a major component of male development for mosquito transmission of malaria parasite. RNA-binding protein (RBP)-mediated post-transcription regulation plays important roles in eukaryotic sexual development, including the Plasmodium female development. However, the role of RBP in defining the Plasmodium male transcriptome and its function in the male gametogenesis remain elusive. Here, we screened the gender expression of the genome-wide RBPs and identified an undescribed male-specific RBP gene Rbpm1 in the Plasmodium. RBPm1 is localized in the nucleus of male gametocytes. RBPm1-deficient parasites fail to assemble the axoneme for male gametogenesis and thus mosquito transmission. RBPm1 interacts with spliceosome E complex and regulates splicing initiation of certain introns in a group of 26 axonemal genes. RBPm1 deficiency results in intron retention and protein loss of these axonemal genes. Intron deletion restores axonemal proteins expression and partially rectifies axonemal defects in RBPm1-null gametocytes. Further splicing assays in both reporter and endogenous genes exhibit stringent recognition of the axonemal introns by RBPm1. Therefore, the splicing activator RBPm1 and its target introns constitute an axonemal intron splicing program in the post-transcription regulation essential for Plasmodium male development.

microbiology↗

bioRxiv2023

A redundant chloroplast protein is co-opted by potyvirids as the scaffold protein to mediate viral intercellular movement complex assembly

For viruses in the family Potyviridae (potyvirids), three virus-encoded proteins (P3N-PIPO, CI and CP) and several host components are known to coordinately regulate viral cell-to-cell movement. Here, we found that HCPro2 encoded by areca palm necrotic ring spot virus is involved in the intercellular movement, which could be functionally complemented by its counterpart HCPro from a potyvirus. The affinity purification and mass spectrum analysis identified several viral factors (including CI and CP) and a variety of host proteins that physically associate with HCPro2. We demonstrated that HCPro2 interacts with either CI or CP in planta, and the three form plasmodesmata (PD)-localized interactive complex in viral infection. Further, we screened HCPro2-associating host proteins, and identified a common host protein RbCS that mediates the interactions of HCPro2-CI, HCPro2-CP and CI-CP among the complex. Knockdown of NbRbCS simultaneously impairs the interactions of HCPro2-CI, HCPro2-CP and CI-CP, and significantly attenuates the intercellular movement and systemic infection for ANRSV and other three tested potyvirids. This study highlights that a nucleus-encoded chloroplast-targeted protein is hijacked by potyvirids as the scaffold protein to mediate the assembly of viral intercellular movement complex to promote viral infection.

microbiology↗

bioRxiv2023

The Extent of Edgetic Perturbations in the Human Interactome Caused by Population-Specific Mutations

Until recently, efforts in population genetics have been focused primarily on people of European ancestry. To attenuate the bias, global population studies, such as the 1,000 Genomes Project, have revealed differences in genetic variation across ethnic groups. How much of these differences would attribute to the population-specific traits? To answer this question, the mutation data must be linked with the functional outcomes. A new "edgotype" concept has been proposed that emphasizes the interaction-specific, "edgetic", perturbations caused by mutations in the interacting proteins. In this work, we performed a systematic in-silico edgetic profiling of [~]50,000 non-synonymous SNVs (nsSNVs) from 1,000 Genomes Project by leveraging our semi-supervised learning approach SNP-IN tool on a comprehensive set of over 10,000 protein interaction complexes. We interrogated functional roles of the variants and their impact on the human interactome and compared the results with the pathogenic variants disrupting PPIs in the same interactome. Our results demonstrated that a considerable number of nsSNVs from healthy populations could rewire the interactome. We also showed that the proteins enriched with the interaction-disrupting mutations were associated with diverse functions and had implications in a broad spectrum of diseases. Further analysis indicated that distinct gene edgetic profiles among major populations could shed light on the molecular mechanisms behind the population phenotypic variances. Finally, the network analysis revealed that the disease-associated modules surprisingly harbored a higher density of interaction-disrupting mutations from the healthy populations. The variation in the cumulative network damage within these modules could potentially account for the observed disparities in disease susceptibility, which are distinctly specific to certain populations. Our work demonstrates the feasibility of a large-scale in-silico edgetic study and reveals insights into the orchestrated play of the population-specific mutations in the human interactome.

bioinformatics↗

bioRxiv2023

Cotyledon Peeling Method for Passion Fruit Protoplasts: a versatile cell system for transient gene expression in passion fruit (Passiflora edulis)

Passion fruit (Passiflora edulis) is a perennial evergreen vine that grows mainly in tropical and subtropical regions due to its nutritional, medicinal and ornamental values. However, the molecular biology study of passion fruit is extremely hindered by the lack of an easy and efficient method for transformation. The protoplast transformation system plays a vital role in plant regeneration, gene function analysis and genome editing. Here, we present a new method ( Cotyledon Peeling Method) for simple and efficient passion fruit protoplast isolation using cotyledon as the source tissue. A high yield (2.3 x 107 protoplasts per gram of fresh tissues) and viability (76%) of protoplasts were obtained upon incubation in the enzyme solution [1% (w/v) cellulase R10, 0.25% (w/v) macerozyme R10, 0.4 M mannitol, 10 mM CaCl2, 20 mM KCl, 20 mM MES and 0.1% (w/v) BSA, pH 5.7] for 2 hours. In addition, we achieved high transfection efficiency of 83% via the polyethylene glycol (PEG)-mediated transformation with a green fluorescent protein (GFP)-tagged plasmid upon optimization. The crucial factors affecting transformation efficiency were optimized as follows: 3 g of plasmid DNA, 5 min transfection time, PEG concentration at 40% and protoplast density of 100 x 104 cells/ml. Furthermore, the established protoplast system was successfully applied for subcellular localization analysis of multiple fluorescent organelle markers and protein-protein interaction study. Taken together, we report a simple and efficient passion fruit protoplast isolation and transformation system, and demonstrate its usage in transient gene expression for the first time in passion fruit. The protoplast system would provide essential support for various passion fruit biology studies, including genome editing, gene function analysis and whole plant regeneration.

plant biology↗

bioRxiv2023

Practice often and always get ready: a spiking mechanistic model for voluntary motor control

In many voluntary movement, neural activities ranging from cortex to spinal cord can be roughly described as the stages of motor intention, preparation, and execution. Recent advances in neuroscience have proposed many theories to understand how motor intention can be transformed into action following these stages, but they still lack a holistic and mechanistic theory to account for the whole process. Here, we try to formulate this question by abstracting two underlying principles: 1) the neural system is specializing the final motor command through a hierarchical network by multitudes of training supervised by the action feedback ("practice often"); 2) prediction is a general mechanism throughout the whole process by providing feedback control for each local layer ("always get ready"). Here we present a theoretical model to regularize voluntary motor control based on these two principles. The model features hierarchical organization and is composed of spiking building blocks based on the previous work in predictive coding and adaptive control theory. By simulating our manual interception paradigm, we show that the network could demonstrate motor preparation and execution, generate desired output trajectory following intention inputs, and exhibit comparable cortical and endpoint dynamics with the empirical data.

neuroscience↗

bioRxiv2023

AGILE Platform: A Deep Learning-Powered Approach to Accelerate LNP Development for mRNA Delivery

Ionizable lipid nanoparticles (LNPs) have seen widespread use in mRNA delivery for clinical applications, notably in SARS-CoV-2 mRNA vaccines. Despite their successful use, expansion of mRNA therapies beyond COVID-19 is impeded by the absence of LNPs tailored to different target cell types. The traditional process of LNP development remains labor-intensive and cost-inefficient, relying heavily on trial and error. In this study, we present the AI-Guided Ionizable Lipid Engineering (AGILE) platform, a synergistic combination of deep learning and combinatorial chemistry. AGILE streamlines the iterative development of ionizable lipids, crucial components for LNP-mediated mRNA delivery. This approach brings forth three significant features: efficient design and synthesis of combinatorial lipid libraries, comprehensive in silico lipid screening employing deep neural networks, and adaptability to diverse cell lines. Using AGILE, we were able to rapidly design, synthesize, and evaluate new ionizable lipids for mRNA delivery in muscle and immune cells, selecting from a library of over 10,000 candidates. Importantly, AGILE has revealed cell-specific preferences for ionizable lipids, indicating the need for different tail lengths and head groups for optimal delivery to varying cell types. These results underscore the potential of AGILE in expediting the development of customized LNPs. This could significantly contribute to addressing the complex needs of mRNA delivery in clinical practice, thereby broadening the scope and efficacy of mRNA therapies. One Sentence SummaryAI and combinatorial chemistry expedite ionizable lipid creation for mRNA delivery.

biochemistry↗

bioRxiv2023

scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI

Generative pre-trained models have achieved remarkable success in various domains such as natural language processing and computer vision. Specifically, the combination of large-scale diverse datasets and pre-trained transformers has emerged as a promising approach for developing foundation models. Drawing parallels between linguistic constructs and cellular biology -- where texts comprise words, similarly, cells are defined by genes -- our study probes the applicability of foundation models to advance cellular biology and genetics research. Utilizing the burgeoning single-cell sequencing data, we have pioneered the construction of a foundation model for single-cell biology, scGPT, which is based on generative pre-trained transformer across a repository of over 33 million cells. Our findings illustrate that scGPT, a generative pre-trained transformer, effectively distills critical biological insights concerning genes and cells. Through the further adaptation of transfer learning, scGPT can be optimized to achieve superior performance across diverse downstream applications. This includes tasks such as cell-type annotation, multi-batch integration, multi-omic integration, genetic perturbation prediction, and gene network inference. The scGPT codebase is publicly available at https://github.com/bowang-lab/scGPT.

bioinformatics↗

bioRxiv2023

Apolipoprotein B and Interleukin 1 Receptor Antagonist: Reversing the Risk of Coronary Heart Disease

BackgroundEpidemiological evidence for the link of interleukin 1 (IL-1) and its inhibition with coronary heart disease (CHD) remains controversial. We aim to investigate the cardiovascular effects of IL-1 receptor antagonist (IL-1Ra) and underlying mechanisms, as well as the potential interaction with lifestyle factors. MethodsA comprehensive multivariable Mendelian randomization study was performed. Genetic variants identified from a genome-wide association study involving 30,931 individuals were used as instrumental variables for the serum IL-1Ra concentrations. Genetic associations with CHD (60,801 cases and 123,504 controls) were extracted from the CARDIoGRAMplusC4D consortium. Inverse-variance weighted method was utilized to derive effect estimates, while supplementary analyses employing various statistical approaches. ResultsGenetically determined IL-1Ra level was associated with increased risk of CHD (odds ratio (OR), 1.07; 95% CI: 1.03-1.17) and myocardial infarction (OR, 1.13; 95% CI: 1.04-1.21). The main results remained consistent in supplementary analyses. Besides, IL-1Ra was associated with circulating levels of various lipoprotein lipids, apolipoproteins and fasting glucose. Interestingly, observed association pattern with CHD was reversed when adjusting for apolipoprotein B (OR, 0.84; 95%CI: 0.71-0.99) and slightly attenuated on accounting for other cardiometabolic risk factors. Appropriate lifestyle intervention was found to lower IL-1Ra concentration and mitigate the heightened CHD risk it posed. ConclusionsApolipoprotein B represents the key driver, and a potential target for reversal of the causal link between serum IL-1Ra and increased risk of CHD/MI. The combined therapy involving IL-1 inhibition and lipid-modifying treatment aimed at apolipoprotein B merit further exploration.

genetics↗

bioRxiv2023

Multiplicative Joint Coding in Preparatory Activity for Reaching Sequence in Macaque Motor Cortex

Although motor cortex has been found to be modulated by sensory or cognitive sequences, the linkage between multiple movement elements and sequence-related responses is not yet understood. Here, we recorded neuronal activity from the motor cortex with implanted micro-electrode arrays and single electrodes while monkeys performed a double-reach task that was instructed by simultaneously presented memorized cues. We found that there existed a substantial multiplicative component jointly tuned to impending and subsequent reaches during preparation, then the coding mechanism transferred to an additive manner during execution. Multiplicative joint coding, which also spontaneously emerged in a recurrent neural network trained for double-reach, enriches neural patterns for sequential movement, and might explain the linear readout of elemental movements.

neuroscience↗