Biology subjects

Lu, Q.

Publications and source records attributed to Lu, Q..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

Zika virus-induced fetal demise is driven by strain- and dose-specific RLR-driven activation of the interferon response in the decidua, placenta, and fetus in Ifnar1-/- mice.

Congenital Zika syndrome (CZS), the set of fetal and neonatal complications associated with Zika virus (ZIKV) infection in pregnancy, was first noted during the outbreak in the Americas in 2015-16. However, there was an unequal distribution of ZIKV cases and severe outcomes in all areas where ZIKV emerged in the Americas, demonstrating that the risk of CZS varied over space and time. Recently, we demonstrated that phenotypic heterogeneity existed between closely-related ZIKV strains. All ZIKV strains tested infected the placenta but varied in their capacity to cause overt fetal harm. Here, we further characterized the relative contributions of virus genotype and infecting dose of two phenotypically distinct ZIKV strains across multiple timepoints in gestation in pregnant mice that lack type-I interferon receptor function (Ifnar1-/-). To better understand the underlying causes of adverse fetal outcomes, we used RNA sequencing to compare ZIKV-infected and uninfected tissues. We found that ZIKV infection triggers retinoic acid-inducible gene I (RIG-I)-like receptor-mediated activation of the interferon response at the maternal-fetal interface. However, modest chemical inhibition of RIG-I activation in the decidua and placenta did not protect against fetal demise. Instead, the fetal interferon response was significantly associated with fetal demise. Together, these findings suggest that the response to ZIKV at the maternal-fetal interface can vary depending on the infecting ZIKV genotype and dose, and that the fetal immune response is an important mediator of fetal harm. IMPORTANCEPreviously, we used a mouse model of ZIKV infection during pregnancy to assess the pathogenic potential to the fetus of a panel of five, low-passage ZIKV strains representing the viral genetic diversity in the Americas. We found that phenotypic heterogeneity existed between these closely-related ZIKV strains. Here, we show that this heterogeneity is driven by retinoic acid-inducible gene I (RIG-I)-like receptor-mediated activation of the interferon response at the maternal-fetal interface. We used chemical inhibition of the RIG-I pathway and measured the transcriptional activity of interferon stimulated genes in fetuses to demonstrate that the fetal immune response may contribute to fetal demise.

microbiology↗

bioRxiv2025

KHSRP-mediated Decay of Axonally Localized Prenyl-Cdc42 mRNA Slows Nerve Regeneration

The small GTPase CDC42 promotes axon growth through actin filament polymerization and this growth is driven by axonal localization of the mRNA encoding the prenylated CDC42 isoform (Prenyl-Cdc42). Here, we show that axonal Prenyl-Cdc42 mRNA transport and translation are decreased by growth-inhibiting stimulation and increased by growth-promoting stimulation. In contrast, axonal RhoA mRNA transport and translation are increased by growth inhibition but unaffected by growth promotion. Localized increase in KHSRP in response to growth inhibitory stimulation, through elevation of intracellular Ca2+, promotes decay of axonal Prenyl-Cdc42 mRNA. Distinct 3UTR motifs regulate transport and stability of axonal Prenyl-Cdc42 mRNA. KHSRP protein binds to a Prenyl-Cdc42 mRNA motif within nt 801-875 and the mRNA is remarkably increased in axons of Khsrp-/- mice. Selective depletion of Prenyl-Cdc42 mRNA from axons reverses the accelerated axon regeneration seen in Khsrp-/-mice.

neuroscience↗

bioRxiv2025

Genetic basis of partner choice

Previous genetic studies of human assortative mating have primarily focused on searching for its genomic footprint but have revealed limited insights into its biological and social mechanisms. Combining insights from the economics of the marriage market with advanced tools in statistical genetics, we perform the first genome-wide association study (GWAS) on a latent index for partner choice. Using 206,617 individuals from four global cohorts, we uncover phenotypic characteristics and social processes underlying assortative mating. We identify a broadly robust genetic component of the partner choice index between sexes and several countries and identify its genetic correlates. We also provide solutions to reduce assortative mating-driven biases in genetic studies of complex traits by conditioning GWAS summary statistics on the genetic associations with the latent partner choice index.

genetics↗

bioRxiv2024

HapCNV: A Comprehensive Framework for CNV Detection in Low-input DNA Sequencing Data

Copy number variants (CNVs) are prevalent in both diploid and haploid genomes, with the latter containing a single copy of each gene. Studying CNVs in genomes from single or few cells is significantly advancing our knowledge in human disorders and disease susceptibility. Low-input including low-cell and single-cell sequencing data for haploid and diploid organisms generally displays shallow and highly non-uniform read counts resulting from the whole genome amplification steps that introduce amplification biases. In addition, haploid organisms typically possess relatively short genomes and require a higher degree of DNA amplification compared to diploid organisms. However, most CNV detection methods are specifically developed for diploid genomes without specific consideration of effects on haploid genomes. Challenges also reside in reference samples or normal controls which are used to provide baseline signals for defining copy number losses or gains. In traditional methods, references are usually pre-specified from cells that are assumed to be normal or disease-free. However, the use of pre-defined reference cells can bias results if common CNVs are present. Here, we present the development of a comprehensive statistical framework for data normalization and CNV detection in haploid single- or low-cell DNA sequencing data called HapCNV. The prominent advancement is the construction of a novel genomic location specific pseudo-reference that selects unbiased references using a preliminary cell clustering method. This approach effectively preserves common CNVs. Using simulations, we demonstrated that HapCNV outperformed existing methods by generating more accurate CNV detection, especially for short CNVs. Superior performance of HapCNV was also validated in detecting known CNVs in a real P. falciparum parasite dataset. In conclusion, HapCNV provides a novel and useful approach for CNV detection in haploid low-input sequencing datasets, with easy applicability to diploids.

bioinformatics↗

bioRxiv2024

One score to rule them all: regularized ensemble polygenic risk prediction with GWAS summary statistics

Ensemble learning has become a cornerstone for improving the predictive accuracy of polygenic risk scores (PRS), and nearly all recent multi-ancestry PRS methods incorporate ensemble learning as a final step. However, existing ensemble approaches require individual-level genotype data for model training, which limits their real-world applications, especially in non-European populations without sufficient genomic samples. Here, we introduce a statistical framework for constructing regularized ensemble PRS that integrates a large number of candidate PRS models using only genome-wide association study summary statistics. Through extensive analyses across multiple traits and populations, we demonstrate that our method consistently outperforms state-of-the-art PRS approaches within and across ancestries. This framework presents "one score to rule them all" for its capability to enable seamless integration of newly developed PRS models with existing ones, providing a scalable and general solution for future PRS development and application.

genetics↗

bioRxiv2024

Systematic screen of RNA binding proteins that enhance circular RNA translation

Translatable circular RNAs (circRNAs) have emerged as a promising alternative to linear mRNA as new therapeutics due to its improved stability. The translation of circRNAs is mainly driving by internal ribosome entry site (IRES) or IRES-like elements, which is under regulation by various trans-acting RNA binding proteins (RBPs). Here we designed a cell-based system to systematically screen RBPs that enhance translation of circRNAs, and identified a total of 68 proteins as putative activators of noncanonical translation. These translation activators mainly involved in the functions of RNA processing, ribosomal biogenesis and translation initiation. Furthermore, we developed a machine learning algorithm to extract common sequence features of these activators, which predicted more potential RBPs with translation activator activities. The newly identified and predicted activators were subsequently demonstrated to promote the IRES-mediated circRNA translation in a context-dependent fashion. This investigation provides new insights to discover functions for IRES trans-acting factors and to expand the toolbox for engineered RBPs in RNA synthetic biology.

molecular biology↗

bioRxiv2024

Intestinal stem cells enhance local mucosal immunity through apoptotic body phagocytosis

Modulation of immune tone at mucosal surfaces is critical to maintain homeostasis while facilitating the handling of emerging threats. One dynamic component of immune modulation is the phagocytosis and clearance of apoptotic bodies known as efferocytosis that inhibits inflammation by promoting its resolution. Here, we evaluated the effects of apoptotic body phagocytosis by intestinal epithelial stem and progenitor cells (ISCs). Unexpectedly, instead of immunomodulation through efferocytosis, this process elevated local immune system activity. To achieve this result, ISCs actively engaged apoptotic bodies in a unique fashion, leading to their engulfment and ultimate delivery to lysosomes for processing. We found that ISCs were capable of actively recruiting inert material such as apoptotic bodies by using actin-based intrinsic biomechanical processes. Uptake of apoptotic bodies was facilitated by complement factor C3 produced by apoptotic bodies themselves. ISCs in turn generated signals heightening T cell activity that was driven in part by ISC-generated TNF. Taken together, uptake of apoptotic bodies by ISCs produced a local inflammatory alert to specific immune cells. This altered paradigm for the response to phagocytosed apoptotic bodies fits the needs of active mucosal surfaces and demonstrates that efferocytosis as currently defined is not a universal response of all cell types.

cell biology↗

bioRxiv2024

PSTP: Decoding Latent Sequence Grammar through Transfer Learning and Attention for Protein Phase Separation

Phase separation (PS) is essential in various biological processes, necessitating high-accuracy predictive algorithms for studying numerous uncharacterized sequences, and accelerating experimental validation. However, many recent prediction methods face challenges in generalizability due to their reliance on engineered features. Furthermore, accurately identifying protein regions involved in PS remains challenging. To address this, we propose PSTP, a model employing a dual-language model embedding strategy and a lightweight attention module. The attention layer enables reliable residue-level phase separation predictions, identifying 84% of PS regions in PhaSePro and substantially improving correlation coefficient compared to existing models. PSTP also demonstrates robust performance in predicting PS propensity across various types of PS proteins and shows potential for predicting artificial proteins. By analyzing 160,000+ variants, PSTP characterizes the link between the incidence of pathogenic variants and residue-level PS propensities. PSTPs predictive power and broad applicability make it a valuable tool for understanding biomolecular condensates and disease mechanisms.

bioinformatics↗

bioRxiv2024

A combinatorial approach to ALS therapies in the PrP.TDP43-315 model of ALS; complications and tribulations

Effective treatment for sporadic amyotrophic lateral sclerosis has been steadily advancing towards combinatorial therapies. For many years, riluzole was the only approved drug and it offered modest benefits. In 2017, edaravone was approved for ALS and became the first drug to be used in combination with riluzole. In the present study, we have attempted to build on the concepts of combinatorial therapy by testing novel drug combinations in a transgenic mouse model. Mice that express A315T mutant TDP43, using the mouse prion promoter, have been reported to develop many of the symptoms of ALS, including paralysis. Aberrant TDP43 function is a common feature in sporadic ALS, and thus TDP43 transgenic models may recapitulate disease processes that occur in humans with sporadic ALS. Although the PrP.TDP43-A315T model has been reported to develop abnormalities in gut motility that contribute to early mortality, recent studies indicated that gut motility issues could be mitigated by feeding mice with gel-based diets rather than the standard dry chow. In the present study, we have attempted to use the PrP.TDP43-A315T model to test whether we could identify a drug combination that synergized to extend life span in this model substantially. The drug combinations were built around the existing drug modalities, adding additional drugs that had indications of utility from the literature. To mitigate gut motility issues, we fed the mice gel-based diets with or without added drug combinations. Although the gel-based diets extended life expectancy in PrP.TDP43-A315T mice, most of the animals still developed gut motility abnormalities that may have contributed to early mortality. None of the drug combinations we tested extended life expectancy in this model substantially.

neuroscience↗

bioRxiv2024

OsWHY1/OsTRXz/OsMORFs complex is essential for RNA modification and early chloroplast development in rice

WHIRLY (WHY) proteins are single-stranded DNA/RNA-binding proteins that play multifaceted roles in various plant species. The regulatory mechanisms of WHY proteins in rice remains blank. Here we demonstrate that OsWHY1 in rice is required for early chloroplast development. CRISPR/Cas9-generated oswhy1 knockout lines displayed albino seedling phenotypes, abnormal chloroplast structure and comprised redox balance in leaves. OsWHY1 interacts with multiple plastid proteins, including the thioredoxin OsTRXz and two multiple organellar RNA editing factors (OsMORF8 and OsMORF9) in chloroplasts. Accordingly, several plastid genes dependent on plastid-encoded RNA polymerase (PEP) in the oswhy1 mutants were significantly depressed at both transcript and protein levels. The editing of rps14 transcripts and splicing of rpl2, along with their protein expression, were defective in the oswhy1 mutants. OsWHY1 exhibited RNA-binding activity, specifically binding to rps14 and rpl2 precursor RNAs, which underscores its role as a post-transcriptional regulator essential for normal protein synthesis in chloroplasts. Loss-of- function mutants of either OsWHY1 or OsMORF9 and OsTRXz displayed albino phenotypes, disrupted H2O2 homeostasis, and defective RNA processing in rps14 and rpl2, suggesting the OsWHY1-OsTRXz-OsMORFs regulatory module is vital for maintaining chloroplast stability and integrity through its RNA-binding activity and its role in recruiting OsTRXz and OsMORFs to ensure proper RNA modification. One sentence summaryOsWHY1 is integral to chloroplast development in rice through its RNA-binding activity and its role in recruiting OsTRXz and OsMORFs to ensure proper RNA modification.

plant biology↗

bioRxiv2024

Three-dimension transcriptomics maps of whole mouse embryo during organogenesis

Understanding mammalian development heavily relies on classical animal models like the house mouse (Mus musculus). Advanced spatial transcriptomics has enabled biologists to break new ground in studies of molecular dynamics and cellular patterning during embryonic development with spatiotemporal resolution. To construct a comprehensive developmental trajectory, current three-dimensional (3D) spatial transcriptomic profiling leverages mouse embryos from gastrulation (E5.5) to organogenesis (E13.5) in continuity. However, a crucial phase for early organogenesis between E9.5 and E11.5 was deficient. To unveil the mystery of this stage, we present the 3D transcriptomics of mouse embryos at E9.5 and E11.5, with a widely applicable reconstruction workflow that bypasses sophisticated bioinformatic calculations. As our 3D atlas is generated at single-cell resolution, we demonstrate how organogenetic processes can be interpreted at different levels of granularity, from local cellular interactions to whole embryonic regionalization. We release the open-access database MOSTA3D (Mouse Organogenesis Spatiotemporal Transcriptomic Atlas in Three-dimensional) and hope a broader community will contribute to extending this framework from conception to senility in the near future.

developmental biology↗

bioRxiv2024

CIB2 as a Ca2+ Sensor for Auditory Mechano-Electrical Transduction and Linked to Genetic-Heterogeneity of TMC1 in Hearing Loss

Non-syndromic sensorineural hearing loss is characterized by genetic heterogeneity, leading to potential clinical misdiagnosis. TMC1, a unique causative gene associated with deafness, exhibits variants with autosomal dominant and recessive inheritance patterns. TMC1 codes for the transmembrane channel-like 1 (TMC1), a key component of the mechano-electrical transduction (MET) machinery for hearing. However, the molecular mechanism of Ca2+ regulation in MET, which is essential for sound perception, remains unclear. CIB2, another MET component associated with deafness, can bind with calcium and may play a role in MET gating. Our study reveals that the TMC1-CIB2 complex undergoes a Ca2+-induced conformational change, highlighting the crucial role of Ca2+ in MET. We identified a vertebrate-specific binding site on TMC1, named CR3, that interacts with apo CIB2, with the binding interface linked to hearing loss. Using an in-vivo animal model, we demonstrated that disruption of the calcium-sensing site of CIB2 perturbs the MET channel conductivity, confirming its role as a Ca2+ sensor for MET. Additionally, after systematically analyzing the hearing-loss variants, we observed that dominant mutations of TMC1 are often located near the ion pore or at the binding interfaces with the Ca2+ sensor CIB2. This provides a detailed mechanism of the genetic heterogeneity of TMC1 in hearing loss at an atomic level.

molecular biology↗

bioRxiv2024

Segregation between an ornamental and a disease driver gene provides insights into pigment cell regulation

Genetic interactions are adaptive within a species. Hybridization can disrupt such species-specific genetic interactions and creates novel interactions that alter the hybrid progeny overall fitness. Hybrid incompatibility, which refers to degenerative genetic interactions that decrease the overall hybrid survival, is one of the results from combining two diverged genomes in hybrids. The discovery of spontaneous lethal tumorigenesis and underlying genetic interactions in select hybrids between diverged Xiphophorus species showed that lethal pathological process can result from degenerative genetic interactions. Such genetic interactions leading to lethal phenotype are thought to shield gene flow between diverged species. However, hybrids between certain Xiphophorus species do not develop such tumors. Here we report the identification of a locus residing in the genome of one Xiphophorus species that represses an oncogene from a different species. Our finding provides insights into normal and pathological pigment cell development, regulation and molecular mechanism in hybrid incompatibility. SignificanceThe Dobzhansky-Muller model states epistatic interactions occurred between genes in diverged species underlies hybrid incompatibility. There are a few vertebrate interspecies hybrid cases that support the Dobzhansky-Muller model. This study reports a fish hybrid system where incompatible genetic interactions are involved in neuronal regulation of pigment cell biology, and also identified a novel point of regulation for pigment cells.

genetics↗

bioRxiv2024

Episodic memory supports the acquisition of structured task representations

Generalization to new tasks requires learning of task representations that accurately reflect the similarity structure of the task space. Here, we argue that episodic memory (EM) plays an essential role in this process by stabilizing task representations, thereby supporting the accumulation of structured knowledge. We demonstrate this using a neural network model that infers task representations that minimize the current tasks objective function; crucially, the model can retrieve previously encoded task representations from EM and use these to initialize the task inference process. With EM, the model succeeds in learning the underlying task structure; without EM, task representations drift and the network fails to learn the structure. We further show that EM errors can support structure learning by promoting the activation of similar task representations in tasks with similar sensory inputs. Overall, this model provides a novel account of how EM supports the acquisition of structured task representations.

neuroscience↗

bioRxiv2024

Human APOE allelic variants suppress the formation of diffuse and fibrillar Aβ deposits relative to mouse Apoe in transgenic mouse models of Alzheimer amyloidosis

BackgroundApolipoprotein E (apoE) modulates the deposition of amyloid {beta} (A{beta}) aggregates in Alzheimers disease (AD) in an isoform-dependent manner. In transgenic mouse models of AD-amyloidosis, replacing mouse Apoe alleles with human APOE variants suppresses fibrillar A{beta} deposits. In the PD-APP transgenic mouse model, deletion of the Apoe gene led to selective reduction of fibrillar deposits with increased diffuse deposits. This finding suggested that apoE may have differential effects on different types of amyloid pathology. MethodsHere, we investigated the interaction between the type of A{beta} pathology in the brain and human apoE isoforms in different transgenic mouse models. ResultsIn the APPsi model that develops predominantly diffuse A{beta} plaques late in life, we determined that replacing mouse Apoe with human APOE3 or APOE4 genes potently suppressed diffuse amyloid formation, with apoE3 exhibiting a greater activity relative to apoE4. Relative to apoE4, apoE3 appeared to suppress A{beta} deposition in the cerebral vasculature. In a second cohort, we accelerated the deposition of diffuse A{beta} pathology by seeding, finding that seeded APPsi mice harboring APOE4 or APOE3 developed equal burdens of diffuse parenchymal A{beta}. Finally, in the recently developed SAA-APP model that has a mix of dense-core and fibrous A{beta} plaques, we found that replacing mouse apoE with human apoE suppressed deposition significantly, with the amyloid burden following the trend of Apoe>>APOE4> APOE3[~]APOE2. In the SAA-APP and seeded APPsi models, we found evidence of apoE protein associated with A{beta} plaques. ConclusionsOverall, these observations demonstrate a capacity for human apoE to suppress the deposition of both diffuse and fibrillar-cored deposits, relative to mouse apoE. Notably, in the seeded paradigm, the suppressive activity of human apoE3 and apoE4 appeared to be overwhelmed. Taken together, this study demonstrates that APOE genotype influences the deposition of both cored-fibrillar and diffuse amyloid.

neuroscience↗

bioRxiv2024

Comparative genomics of macaques and integrated insights into genetic variation and population history

The crab-eating macaques (Macaca fascicularis) and rhesus macaques (M. mulatta) are widely studied nonhuman primates in biomedical and evolutionary research. Despite their significance, the current understanding of the complex genomic structure in macaques and the differences between species requires substantial improvement. Here, we present a complete genome assembly of a crab-eating macaque and 20 haplotype-resolved macaque assemblies to investigate the complex regions and major genomic differences between species. Segmental duplication in macaques is [~]42% lower, while centromeres are [~]3.7 times longer than those in humans. The characterization of [~]2 Mbp fixed genetic variants and [~]240 Mbp complex loci highlights potential associations with metabolic differences between the two macaque species (e.g., CYP2C76 and EHBP1L1). Additionally, hundreds of alternative splicing differences show post-transcriptional regulation divergence between these two species (e.g., PNPO). We also characterize 91 large-scale genomic differences between macaques and humans at a single-base-pair resolution and highlight their impact on gene regulation in primate evolution (e.g., FOLH1 and PIEZO2). Finally, population genetics recapitulates macaque speciation and selective sweeps, highlighting potential genetic basis of reproduction and tail phenotype differences (e.g., STAB1, SEMA3F, and HOXD13). In summary, the integrated analysis of genetic variation and population genetics in macaques greatly enhances our comprehension of lineage-specific phenotypes, adaptation, and primate evolution, thereby improving their biomedical applications in human diseases.

genomics↗

bioRxiv2024

Decoding Missense Variants by Incorporating Phase Separation via Machine Learning

Computational models have made significant progress in predicting the effect of protein variants. However, deciphering numerous variants of unknown significance (VUS) located within intrinsically disordered regions (IDRs) remains challenging. To address this issue, we introduced phase separation (PS), which is tightly linked to IDRs, into the investigation of missense variants. Phase separation is vital for multiple physiological processes. By leveraging missense variants that alter phase separation propensity, we developed a machine learning approach named PSMutPred to predict the impact of missense mutations on phase separation. PSMutPred demonstrated robust performance in predicting missense variants that affect natural phase separation. In vitro experimental findings further underscore its validity. By applying PSMutPred on over 522,000 ClinVar missense variants, it significantly contributes to decoding the pathogenesis of disease variants, especially those in IDRs. Our work provides unique insights into the understanding of a vast number of VUSs in IDRs, thereby expediting clinical interpretation and diagnosis of disease variants.

bioinformatics↗

bioRxiv2024

Graph Contrastive Learning of Subcellular-resolution Spatial Transcriptomics Improves Cell Type Annotation and Reveals Critical Molecular Pathways

Imaging based spatial transcriptomics (iST), such as MERFISH, CosMx SMI, and Xenium, quantify gene expression level across cells in space, but more importantly, they directly reveal the subcellular distribution of RNA transcripts at the single-molecule resolution. The subcellular localization of RNA molecules plays a crucial role in the compartmentalization-dependent regulation of genes within individual cells. Understanding the intracellular spatial distribution of RNA for a particular cell type thus not only improves the characterization of cell identity but also is of paramount importance in elucidating unique subcellular regulatory mechanisms specific to the cell type. However, current cell type annotation approaches of iST primarily utilize gene expression information while neglecting the spatial distribution of RNAs within cells. In this work, we introduce a semi-supervised graph contrastive learning method called Focus, the first method, to the best of our knowledge, that explicitly models RNAs subcellular distribution and community to improve cell type annotation. Focus first constructs gene neighborhood networks based on the subcellular colocalization relationship of RNA transcripts. Next, the subcellular graph of each cell can be augmented by adding important edges and nodes or removing trivial edges and nodes. Focus then aims to maximize the similarity between positive pairs from two augmented views of the same cell and minimize the similarity between negative pairs from different cells within a common batch. Guided by a limited amount of labeled data, Focus is capable of assigning cell type identities for the entire datasets at high accuracy. Extensive experiments demonstrate the effectiveness of Focus compared to existing state-of-the-art approaches across a range of spatial transcriptomics platforms and biological systems. Furthermore, Focus enjoys the advantages of revealing intricate cell type-specific subcellular spatial gene patterns and providing interpretable subcellular gene analysis, such as defining the gene importance score. Importantly, with the importance score, Focus identifies genes harboring strong relevance to cell type-specific pathways, indicating its potential in uncovering novel regulatory programs across numerous biological systems. Focus is freely accessible at https://github.com/OmicsML/focus.

bioinformatics↗