Biology subjects

Xu, P.

Publications and source records attributed to Xu, P..

At least 91 records · Page 5Linked to original sources

bioRxiv2024

Development and validation of novel proliferation-related gene signature for MSS colorectal cancer prognosis

Colorectal cancer (CRC) is classified into microsatellite instability (MSI) and microsatellite stabilized (MSS) based on the differences in DNA repair mechanisms. In recent years, many studies have proved that some emerging therapeutic approaches have good therapeutic effects on MSI as a subtype but are ineffective for MSS as a subtype. This paper aims to start with the molecular mechanism of MSS and try to find the characteristic target genes of MSS as a subtype. We used bioinformatics techniques and machine learning to find GTF2IRD1. The gene GTF2IRD1 is highly expressed in MSS-type CRC but is stable in MSI. Subsequently, we verified its expression and function with relevant experiments. We demonstrated that GTF2IRD1 can promote the proliferation of MSS-type colorectal cancer and correlate with the poor prognosis of MSS-type colorectal cancer patients, which may provide a potential target gene for the clinical treatment of MSS-type colorectal cancer.

cancer biology↗

bioRxiv2024

scCompass: An integrated cross-species scRNA-seq database for AI-ready

Emerging single-cell sequencing technology has generated large amounts of data, allowing analysis of cellular dynamics and gene regulation at the single-cell resolution. Advances in artificial intelligence enhance life sciences research by delivering critical insights and optimizing data analysis processes. However, inconsistent data processing quality and standards remain to be a major challenge. Here we propose scCompass, which provides a data quality solution to build a large-scale, cross-species and model-friendly single-cell data collection. By applying standardized data pre-processing, scCompass integrates and curates transcriptomic data from 13 species and nearly 105 million single cells. Using this extensive dataset, we are able to archieve stable expression genes (SEGs) and organ-specific expression genes (OSGs) in human and mouse. We provide different scalable datasets that can be easily adapted for AI model training and the pretrained checkpoints with state-of-the-art (SOTA) single-cell foundataion models. In summary, the AI-readiness of scCompass, which combined with user-friendly data sharing, visualization and online analysis, greatly simplifies data access and exploitation for researchers in single cell biology(http://www.bdbe.cn/kun).

bioinformatics↗

bioRxiv2024

Early zygotic engineering promotes targeted large transgene integration and direct production of fully transgenic animals

Genetic engineering has become increasingly feasible with the advent of site-specific nucleases. This technology is highly effective for the generation of small mutations, however targeted insertion of large sequences to generate transgenic animals remains challenging, time consuming, and laborious. Following several failed attempts using the same reagents, we identified a protocol that achieved very high targeted integration of a 3.2 kb transgene into a single locus of a humanized mouse model of Down syndrome. Moreover, we demonstrate in multiple ways that this procedure directly generates numerous non-mosaic founder animals, which bred true to generate all transgenic progeny. In vitro fertilization of oocytes was followed by AAV-mediated delivery of donor sequence and electroporation of Cas9 ribonucleoprotein, all parameters designed to promote early zygotic engineering (EZE). This strategy can obviate the need to breed mosaic animals for germline transmission and can enable engineering of difficult to breed animals. While efforts to improve genome engineering focus on reagents and delivery techniques, findings here suggest a narrow window of time in the early fertilized oocyte, likely before genome replication, is key to achieve both high integration efficiency and one-step generation of non-mosaic, engineered mice.

developmental biology↗

bioRxiv2024

Metabolic reprogramming of immune cells in HIV infection and treatment

BACKGROUNDImmune cells undergo metabolic reprogramming, altering their energy production in response to HIV infection. During acute HIV infection, CD4+ T cells increase glycolysis to fuel viral replication and defense, but prolonged activation leads to immune exhaustion, with reduced T cell function and impaired pathogen elimination, contributing to AIDS progression. However, the details Metabolic dynamics of Immune Cells during HIV Infection (UT) and after receiving antiretroviral therapy (ART) remains unknown. Communication between Immune cells will be modified to response HIV infection, which can be mediated by metabolites. In this study, we deciphered Metabolic pathway dynamics of all Immune Cells by comparing UT and ART with seronegative controls (SN). Additionally, we investigate alteration of metabolite-mediated cell-cell communications in HIV Infection. METHODSSingle cell RNA sequencing (scRNA-seq) data of PBMC from SN, UT and ART were analyzed with KEGG Metabolic pathways by irGSEA and algorithm MEBOCOST to study cell-cell communications mediated by metabolites from sender cells and sensor proteins on receiver cells. RESULTSlots of differentially expressed Metabolic Pathways were identified for immune cells, including Energy Production and Utilization, Lipid Metabolism, Amino Acid Metabolism, Glycosylation and Glycan Biosynthesis and Oxidative Stress and Antioxidant Defense. CONCLUSIONSThe analysis highlights the intricate metabolic interplay between monocytes and other immune cells, reflecting their central role in orchestrating immune responses through metabolite exchange. These insights may open avenues for therapeutic interventions, targeting metabolic pathways to enhance immune function or inhibit pathogen survival.

immunology↗

bioRxiv2024

Parameter-free clear image deconvolution (CLID) technique for single-frame live-cell super-resolution imaging

Advancing single-frame imaging techniques beyond the diffraction limit and upgrading traditional wide-field or confocal microscopes to super-resolution (SR) capabilities are greatly sought after by biologists. While enhancing image resolution by deconvolving noise-free images is beneficial, achieving a noise-free image that maintains the distribution of signal intensity poses a challenge. We first developed a denoising method utilizing reversibly switchable fluorescent proteins through synchronized signal switching (3S). Additionally, we introduced a denoising neural network technique, 3Snet, which combines supervised and self-supervised learning using 3S denoised images as the ground truth. These approaches effectively eliminate noise while maintaining fluorescence signal distribution across camera pixels. We then implemented clear image deconvolution (CLID) on both 3S and 3Snet denoised images to develop SR techniques, named 3S-CLID and 3Snet-CLID. Notably, 3Snet-CLID boosts the resolution of single fluorescence images from wide-field and spinning-disk confocal microscopies by up to 3.9 times, achieving a spatial resolution of 65 nm, the highest in such imaging scenarios without an additional SR module and complex parameter setting. 3Snet-CLID enables dual-color single-frame live-cell imaging of various subcellular structures labeled with conventional fluorescent proteins and/or dyes, allowing observations of dynamic cellular processes. We expect that these advancements will drive innovation and uncover new insights in biology.

biophysics↗

bioRxiv2024

Limited O-specific polysaccharide (OSP)-specific functional antibody responses in young children with Shigella infection in Bangladesh

Shigellosis is the second leading cause of diarrheal death in children younger than five years of age globally. At present, there is no broadly licensed vaccine against shigella infection. Previous vaccine candidates have failed at providing protection for young children in endemic settings. Improved understanding of correlates of protection against Shigella infection and severe shigellosis in young children living in endemic settings is needed. Here, we applied a functional antibody profiling approach to define Shigella-specific antibody responses in young children versus older individuals with culture-confirmed shigellosis in Bangladesh, a Shigella endemic area. We analyzed Shigella-specific antibody isotypes, FcR binding and antibody-mediated innate immune cell activation in longitudinal serum samples collected at clinical presentation and up to 1 year later. We found that higher initial Shigella O-specific polysaccharide (OSP)-specific and protein-specific IgG and Fc{gamma}R binding levels correlated with less severe disease regardless of patient age, but that individuals under 5 years of age developed a less prominent class switched, FcR-binding, functional and durable antibody response against both OSP and protein Shigella antigens than older individuals. Focusing on the largest cohort, we found that functional S. flexneri 2a OSP-specific responses were significantly induced only in individuals over age 5 years, and that these responses promoted monocyte phagocytosis and activation. Our findings suggest that in a Shigella endemic region, young children with shigellosis harbor a functional antibody response that fails to maximally activate monocytes; such a response may be important in facilitating subsequent innate cell clearance of Shigella, especially via recruitment and activation of polymorphonuclear cells capable of directly killing Shigella.

immunology↗

bioRxiv2024

Evolution of the Spatial transcriptomic landscape during the progression of high-grade pancreatic intraductal papillary mucinous neoplasms to invasive cancer

Intraductal papillary mucinous neoplasms (IPMN) is one of the known precancerous lesions. Patients prognosis is aggravated as IPMN transforms into invasive Pancreatic Ductal Adenocarcinoma (PDAC). The molecular mechanisms underlying this progression lack effective experimental models and urgently need to be elaborated. We performed spatial transcriptomics (ST) on fresh tissue samples from the same patient including normal pancreas, high-grade IPMN, and invasive PDAC, and described the step-by-step development of transcriptional landscape including clone evolution and adjacent TME feature variation. Our findings identified the master transcript factors and critical signaling pathways promoting IPMN progression to invasive PDAC. Additionally, both IPMN and PDAC harbored the ELF3, MYC, and KLF4 amplification. The Spatial CNV profile demonstrated significant heterogeneity among PDAC in their spatial distribution compared to IPMN, with seven distinct subclones showing diverse functions, such as hypoxia, oxidative phosphorylation, and epithelial-mesenchymal Transition. We observed a marked shift in the immune landscape, with the depletion of CD4+ T-cells and dendritic cells and an increase in immune-suppressive M2 macrophages in invasive PDAC, indicating a transition to an immune-evasive microenvironment. Additionally, cancer-associated fibroblasts (CAFs), particularly myofibroblastic CAFs, were enriched adjacent to invasive PDAC, suggesting their active role in tumor progression. By leveraging spatial transcriptomic analysis, our study provides comprehensive insights into the intricate molecular landscape that underlies the progression of IPMNs to invasive PDAC. These findings not only enhance our understanding of this complex process but also offer valuable knowledge for early diagnosis and intervention. HighlightsO_LISpatial CNV analysis reveals clonal evolution and distinct subclones in PDAC. C_LIO_LIKey drivers like ELF3, MYC, and KLF4 are amplified in both IPMN and invasive PDAC. C_LIO_LIImmune landscape shifts from pro-inflammatory in IPMN to immune-evasive in PDAC. C_LIO_LIEnrichment of myofibroblastic CAFs suggests their role in tumor progression C_LI

cancer biology↗

bioRxiv2024

An in vivo screen identifies NAT10 as a master regulator of brain metastasis

Metastasis is the major cause of cancer-related deaths. Emerging evidence has shown that epigenetic regulation plays a fundamental role in cancer metastasis. To better understand the epigenetic regulation of metastasis, we conducted an in vivo shRNA screen for vulnerabilities of brain metastasis and identified N-acetyltransferase 10 (NAT10) as a driver of brain metastasis. Knockdown of NAT10 significantly restrains cancer cell proliferation and migration in vitro, and tumor growth and brain metastasis in vivo. Structure-function analysis of NAT10 showed that its poorly characterized RNA helicase domain is critical for breast cancer cell growth in vitro, while its N-acetyltransferase domain is essential for primary tumor growth and brain metastasis in vivo. Integrative transcriptomic and proteomic analyses revealed key downstream effectors of NAT10, including PHGDH and PSAT1, two catalyzing enzymes for serine biosynthesis implicated in brain metastasis, and HSPA5, known to promote metastasis. We found that distant metastases of breast cancer, especially brain metastases express higher levels of NAT10, PHGDH, PSAT1, and HSPA5. Silencing PHGDH/PSAT1 or HSPA5 in metastatic breast cancer cells inhibits their ability to grow in the serine/glycine-limited condition or migrate, respectively, phenocopying the effects of NAT10 depletion. Moreover, NAT10 promotes the expression of PHGDH, PSAT1, and HSPA5 in its RNA helicase-dependent manner. These findings establish NAT10 as a master regulator of brain metastasis and shed light on the biological functions of its RNA helicase domain, nominating NAT10 as a target for treating metastatic diseases.

cancer biology↗

bioRxiv2024

Trait anxiety impairs reciprocity behavior: A multi-modal and computational modeling study

Anxiety significantly impacts reciprocal behavior, crucial for positive social interactions. The neurocomputational mechanisms of anxietys effects on the core (individual propensity) and peripheral (decision context) factors shaping reciprocity remain unclear. Here, we investigated reciprocity in individuals with low and high trait anxiety using a binary trust game with gain/loss framing, combining computational modeling, eye-tracking, and event-related potentials (ERPs). Our computational model, validated by eye-tracking data, identified four psychological components driving reciprocal behavior: reward, guilt aversion, superiority aversion, and superiority attraction. Regarding the core of reciprocity, trait anxiety diminished both overall reciprocity and specific psychological components like guilt aversion and superiority attraction, irrespective of context. The reduction in guilt aversion was supported by ERP findings showing decreased P2 (selective attention) and increased LPP (emotion regulation) amplitudes in anxious individuals. Regarding the periphery of reciprocity, trait anxiety altered the contextual perception of both superiority aversion and reward. Further, trait anxiety reversed the perception of superiority aversion from gain to loss contexts, a pattern that was linked to the N2 amplitudes (cognitive control). Our findings revealed distinct effects of trait anxiety on core and peripheral factors in reciprocity, offering potential targets for interventions aimed at improving reciprocity in individuals with anxiety disorders.

neuroscience↗

bioRxiv2024

Metabolomics profiling reveals association of fermented herbal feed additive, growth performance and gut microbiota in piglets

Fermented Chinese medicine (FCM), as a functional feed additive, has been widely recognized to play a significant role in protecting the intestinal health of piglets and enhancing productive performance. However, the relationship between the active components of FCM, gut microbiota, and their beneficial effects on animal performance remains unclear. In this study, metabolomics analysis revealed a significant increase in the main contents of lactic acid and propionic acid in FCM, while most glycosides and their derivatives decreased after three days of microbial fermentation. Subsequently, piglets were fed a basic diet supplemented with 1% FCM, while the control group received only the basic diet. The results indicated a significant increase in feed intake and average daily gain within 14 days (P<0.05) due to FCM supplementation. Additionally, FCM significantly improved feed efficiency from 1.76 to 1.50 (P<0.05). Meanwhile, piglets in the FCM group exhibited significantly lower frequencies of diarrhea and coughing, indicating better health. Moreover, high-throughput sequencing analysis revealed higher abundances of Lactobacillus agilis, Megasphaera elsdenii, Ligilactobacillus, and Veillonellaceae in piglets fed with FCM. In summary, FCM increased the content of active ingredients through microbial fermentation and regulated the intestinal microbiota to improve the health of piglets. FCM offers a promising potential for enhancing production performance and economic efficiency in the livestock industry.

microbiology↗

bioRxiv2024

Experimental evolution of gene essentiality in bacteria

Essential gene products carry out fundamental cellular activities in interaction with other components. However, the lack of essential gene mutants and appropriate methodologies to link essential gene functions with their partners poses significant challenges. Here, we have generated deletion mutants in 32 genes previously identified as essential, with 23 mutants showing extremely slow growth in the SK36 strain of Streptococcus sanguinis. The 23 genes corresponding to these mutants encode components of diverse pathways, are widely conserved among bacteria, and are essential in many other bacterial species. Whole-genome sequencing of 243 independently evolved populations of these mutants has identified >1000 spontaneous suppressor mutations in experimental evolution. Many of these mutations define new gene and pathway relationships, such as F1Fo-ATPase/V1Vo-ATPase/TrkA1-H1 that were demonstrated across multiple Streptococcus species. Patterns of spontaneous mutations occurring in essential gene mutants differed from those found in wildtype. While gene duplications occurred rarely and appeared most often at later stages of evolution, substitutions, deletions, and insertions were prevalent in evolved populations. These essential gene deletion mutants and spontaneous mutations fixed in the mutant populations during evolution establish a foundation for understanding gene essentiality and the interaction of essential genes in networks.

evolutionary biology↗

bioRxiv2024

RAB12-LRRK2 Complex Suppresses Primary Ciliogenesis and Regulates Centrosome Homeostasis in Astrocytes

Leucine-rich repeat kinase 2 (LRRK2) phosphorylates a subset of RAB GTPases, and the phosphorylation levels are elevated by Parkinsons disease (PD)-linked mutations of LRRK2. However, the precise function of the specific RAB GTPase targeted by LRRK2 signaling in the brain remains to be elucidated. Here, we identify RAB12 as a robust LRRK2 substrate in the mouse brains through phosphoproteomics profiling and solve the structure of RAB12-LRRK2 protein complex through Cryo-EM analysis. Mechanistically, RAB12 cooperates with LRRK2 to inhibit primary ciliogenesis and regulate centrosome homeostasis in astrocytes through enhancing the phosphorylation of RAB10 and recruiting Rab interacting lysosomal protein like 1 (RILPL1), while the functions of RAB12 require a direct interaction with LRRK2 and LRRK2 kinase activity. Furthermore, the ciliary deficits and centrosome alteration caused by the PD-linked LRRK2-G2019S mutation are prevented by the deletion of Rab12 in astrocytes. Thus, our study reveals a physiological function of the RAB12-LRRK2 complex in regulating ciliogenesis and centrosome homeostasis. The RAB12-LRRK2 structure offers a guidance in the therapeutic development of PD by targeting the RAB12-LRRK2 interaction.

neuroscience↗

bioRxiv2024

Rational Design of a Flavoenzyme for Aerobic Nicotine Catabolism

Enzymatic therapy with nicotine-degrading enzyme is a new strategy in treating nicotine addiction, which can reduce nicotine concentrations and weaken withdrawal in the rat model. However, when O2 is used as the electron acceptor, no satisfactory performance has been achieved with one of the most commonly studied and efficient nicotine-catabolizing enzymes, NicA2. To obtain more efficient nicotine-degrading enzyme, we rationally designed and engineered a flavoenzyme Pnao, which shares high structural similarity with NicA2 (RMSD = 1.143 [A]) and efficiently catalyze pseudooxynicotine into 3-succinoyl-semialdehyde pyridine using O2. Through amino acid alterations with NicA2, five Pnao mutants were generated, which can degrade nicotine in Tris-HCl buffer and retained catabolic activity on its natural substrate. Nicotine-1-N-oxide was identified as one of the reaction products. Four of the derivative mutants showed activity in rat serum and Trp220 and Asn224 were found critical for enzyme specificity. Our findings offer a novel avenue for research into aerobic nicotine catabolism and provides a promising method of generating additional nicotine-catalytic enzymes.

molecular biology↗

bioRxiv2024

A novel infective endocarditis virulence factor related to multiple functions for bacterial survival in blood was discovered in Streptococcus sanguinis

We identified the role of a conserved hypothetical protein (SSA_0451) in S. sanguinis that is involved in the virulence of infective endocarditis. An in vitro whole blood killing assay and rabbit endocarditis model studies revealed that the SSA_0451 mutant ({Delta}SSA_0451) was significantly less virulent than the wild-type (SK36) and its complementation mutant ({Delta}SSA_0451C). The mechanism underlying the SSA_0451 mutants reduced virulence in infective endocarditis was evidentially linked to oxidative stress and environmental stress. The genes related to the survival of S. sanguinis in an oxidative stress environment were downregulated in {Delta}SSA_0451, which affected its survival in blood. Our findings suggest that SSA_0451 is a novel IE virulence factor and a new target for drug discovery against IE. Author summaryThis study focused on SSA_0451, a conserved hypothetical protein in S. sanguinis, to explore its potential role as a virulence factor. Through in vitro whole blood killing assays and rabbit IE models, it was found that the SSA_0451 mutant exhibited reduced virulence compared to the wild-type and a complemented mutant. The study linked the mutants diminished virulence in IE to heightened susceptibility to oxidative and environmental stresses, supported by downregulation of genes crucial for oxidative stress survival in S. sanguinis. These findings identify SSA_0451 as a novel virulence factor in IE and propose it as a promising target for future drug development against this condition.

microbiology↗

bioRxiv2024

e3SIM: epidemiological-ecological-evolutionary simulation framework for genomic epidemiology

Infectious disease dynamics are driven by the complex interplay of epidemiological, ecological, and evolutionary processes. Accurately modeling these interactions is crucial for understanding pathogen spread and informing public health strategies. However, existing simulators often fail to capture the dynamic interplay between these processes, resulting in oversimplified models that do not fully reflect real-world complexities in which the pathogens genetic evolution dynamically influences disease transmission. We introduce the epidemiological-ecological-evolutionary simulator (e3SIM), an open-source framework that concurrently models the transmission dynamics and molecular evolution of pathogens within a host population while integrating environmental factors. Using an agent-based, discrete-generation, forward-in-time approach, e3SIM incorporates compartmental models, host-population contact networks, and quantitative-trait models for pathogens. This integration allows for realistic simulations of disease spread and pathogen evolution. Key features include a modular and scalable design, flexibility in modeling various epidemiological and population-genetic complexities, incorporation of time-varying environmental factors, and a user-friendly graphical interface. We demonstrate e3SIMs capabilities through simulations of realistic outbreak scenarios with SARS-CoV-2 and Mycobacterium tuberculosis, illustrating its flexibility for studying the genomic epidemiology of diverse pathogen types.

bioinformatics↗

bioRxiv2024

CCDC32 stabilizes clathrin-coated pits and drives their invagination

Clathrin-mediated endocytosis (CME) is essential for maintaining cellular homeostasis. Previous studies have reported more than 50 CME accessory proteins; however, the mechanism driving the invagination of clathrin-coated pits (CCPs) remains elusive. We show by quantitative live cell imaging that siRNA-mediated knockdown of CCDC32, a poorly characterized endocytic accessory protein, leads to the accumulation of unstable flat clathrin assemblies. CCDC32 interacts with the -appendage domain (AD) of AP2 in vitro and with full length AP2 complexes in cells. Deletion of aa78-98 in CCDC32, corresponding to a predicted -helix, abrogates AP2 binding and CCDC32s early function in CME. Furthermore, clinically observed nonsense mutations in CCDC32, which result in C-terminal truncations that lack aa78-98, are linked to the development of cardio-facio-neuro-developmental syndrome (CFNDS). Overall, our data demonstrate the function of a novel endocytic accessory protein, CCDC32, in regulating CCP stabilization and invagination, critical early stages of CME. SummaryWe show that CCDC32, a poorly studied and functionally ambiguous protein, binds to AP2 and regulates CCP stabilization and invagination. Clinically observed mutations in CCDC32 lose their ability to interact with AP2 likely contributing to the development of cardio-facio-neuro-developmental syndrome.

cell biology↗

bioRxiv2024

Lysosome damage triggers acute formation of ER to lysosomes membrane tethers mediated by the bridge-like lipid transport protein VPS13C

Based on genetic studies, lysosome dysfunction is thought to play a pathogenetic role in Parkinsons disease (PD). Here we show that VPS13C, a bridge-like lipid transport protein and a PD gene, is a sensor of lysosome stress/damage. Upon lysosome membrane perturbation, VPS13C rapidly relocates from the cytosol to the surface of lysosomes where it tethers their membranes to the ER. This recruitment depends on Rab7 and requires a signal at the damaged lysosome surface that releases an inhibited state of VPS13C which hinders access of its VAB domain to lysosome-bound Rab7. While another PD protein, LRRK2, is also recruited to stressed/damaged lysosomes, its recruitment occurs at much later stages and by different mechanisms. Given the role of VPS13 proteins in bulk lipid transport, these findings suggest that lipid delivery to lysosomes by VPS13C is part of an early protective response to lysosome damage.

cell biology↗

bioRxiv2024

Different Emotional States Engage Distinct Descending Pathways from the Prefrontal Cortex

Effective emotional processing, crucial for adaptive behavior, is mediated by the medial prefrontal cortex (mPFC) via connections to the basolateral amygdala (BLA) and nucleus accumbens (NAc), traditionally considered functionally similar in modulating reward and aversion responses. However, the functional specialization of the mPFC[->]BLA and mPFC[->]NAc pathways in representing affective states remains unclear. We found that while overall firing patterns appeared consistent across emotional states, deeper analysis revealed distinct variabilities. Specifically, mPFC[->]BLA neurons, especially "center-ON" neurons, exhibited heightened activity during behaviors classically associated with anxiety-like states, suggesting their involvement in aversive behavioral regulation. Conversely, mPFC[->]NAc neurons were more active during exploratory and approach-related behaviors, implicating them in the processing of positively valenced behavioral states. Notably, mPFC[->]NAc neurons showed significant pattern decorrelation during social interactions, suggesting a pivotal role in processing social preference. Additionally, repeated win/loss outcomes in the tube test produced distinct hierarchy-dependent behavioral changes and elevated corticosterone levels in loser mice, supporting the biological relevance of these behaviorally defined states. Together, these findings reveal pathway-specific representations of affect-related behavioral states in mPFC circuits and provide a framework for understanding how prefrontal outputs organize adaptive behavior across environmental contexts.

neuroscience↗