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Wei, W.

Publications and source records attributed to Wei, W..

At least 91 records · Page 5Linked to original sources

On branch lengths assignment methods for trees with fixed topology and related biological applications

Distance-guided tree construction with unknown tree topology and branch lengths has been a long studied problem. In contrast, distance-guided branch lengths assignment with fixed tree topology has not yet been systematically investigated, despite having significant applications. In this paper, we provide a formal mathematical formulation of this problem and propose two representative methods for solving this problem, each with its own strength. We evaluate the performance of these two methods under various settings using simulated data, providing guidance for the choice of methods in respective cases. We demonstrate a practical application of this operation through an extension we termed FunUniFrac, which quantifies the differences in functional units between metagenomic samples over a functional tree with assigned branch lengths, allowing clustering of metagenomic samples by functional similarity instead of taxonomic similarity in traditional methods, thus expanding the realm of comparative studies in metagenomics.

bioinformatics↗

Hypersynchronous iPSC-derived SHANK2 neuronal networks are rescued by mGluR5 agonism

Variants in the gene encoding the postsynaptic scaffolding protein SHANK2 are associated with several neurodevelopmental disorders, including autism spectrum disorder. Here, we used in vitro multielectrode arrays and pharmacological manipulations to characterize how functional connectivity and network-level firing properties were altered in cultures of human iPSC-derived SHANK2 neurons. Using two isogenic pairs of SHANK2 cell lines, we showed that the SHANK2 hyperconnectivity phenotype was recapitulated at the network level. SHANK2 networks displayed significantly increased frequency and reduced duration of network burst events relative to controls. SHANK2 network activity was hypersynchronous, with increased functional correlation strength between recording channels. Analysis of intra-network burst firing dynamics revealed that spikes within SHANK2 network bursts were organized into high-frequency trains, producing a distinctive network burst shape. Calcium-dependent events called reverberating super bursts (RSBs) were observed in control networks but rarely occurred in SHANK2 networks. SHANK2 network hypersynchrony and numbers of strong correlations were fully rescued by the group 1 mGluR agonist DHPG, that also restored detection of RSBs and significantly improved network burst frequency and duration metrics. Our results demonstrate that SHANK2 variants produce a functional hyperconnectivity phenotype that deviates from the developmental trajectory of isogenic control networks. Furthermore, the hypersynchronous phenotype was rescued by pharmacologically regulating glutamatergic neurotransmission.

neuroscience↗

A chromosome-level genome assembly of Dracaena cambodiana and comparative genomics analysis highlights the distinct biological features of two resource species of dragon's blood

This study reports a chromosome-level genome for Dracaena cambodiana, one of two typical dracaena species in China. This work will help to deepen the understanding of the dracaena species and the conservation and development of plant resources. The final assembly consisted of 54 scaffolds, spanning 1.08 Gb, with a scaffold N50 size of 52.29 Mb, encoded 36860 predicted protein-coding genes. A total of 1,064,810,157 bp of genome sequences were located on 20 chromosomes (2n = 40), accounting for 98.46%. We investigate the possible mechanisms of the longevity of dracaena, the longest-lived plant in the world, which involve DNA repair and post-translational modification. We also performed comparative genomic analysis of the previously assembled genome of Dracaena cochinchinesis with this genome, and found that the two involved interaction of plant-pathogen interaction and ubiquitin mediated proteolysis, which may reveal why Dracaena has environmental adaptability and longevity characteristics.

genomics↗

Prime editor-based high-throughput screening reveals functional synonymous mutations in the human genome

Synonymous mutations are generally considered neutral, while their roles in the human genome remain largely unexplored. Herein, we employed the PEmax system to create a library of 297,900 epegRNAs and performed extensive screening to identify synonymous mutations that impact cell fitness. While most synonymous mutations are neutral, we found that some can elicit phenotypic effects. By developing a specialized machine learning tool, we uncovered their impact on various biological processes such as mRNA splicing and transcription, supported by multifaceted experimental evidence. Notably, synonymous mutations can alter RNA folding and affect translation, as demonstrated by PLK1_S2. By integrating screening data with our model, we successfully predicted clinically deleterious synonymous mutations. This research deepens our understanding of synonymous mutations and provides insights for clinical disease studies.

genetics↗

H2A.Z deposition at meiotic prophase I underlies homologous recombination and pachytene genome activation during male meiosis

Accurate meiotic progression is important for gamete formation and the generation of genetic diversity. However, little is known about the identity of chromatin regulators that underlie mammalian meiosis in vivo. Here, we identify the multifaceted functions of the chromatin remodeler ZNHIT1 in governing meiosis. The expression of Znhit1 gradually increases during the meiotic prophase, and Znhit1 knockout in spermatocytes results in arrested pachytene development, impaired DNA double-strand break repair, and defective homologous recombination. Single-cell RNA sequencing and transcriptome analysis reveal that Znhit1 loss dysregulates meiotic transcriptional programs at the pachytene stage. Chromatin immunoprecipitation data show that ZNHIT1 is needed for the incorporation of the histone variant H2A.Z into pachytene chromatin. Moreover, we found that H2A.Z cooperates with the transcription factor A-MYB to co-bind DNA elements and control gene activity. Our findings provide insights into the regulatory mechanisms governing meiotic progression and highlight ZNHIT1 as a critical regulator of meiotic progression.

developmental biology↗

A receptor kinase complex refines cambium activity in Arabidopsis

In plant development, key receptor kinases are often active in disparate cell types, with each requiring vastly different signalling outputs. The ERECTA (ER) receptor kinase and its homologs ERL1 and ERL2 exemplify this pleiotropy. In Arabidopsis, they influence stomatal patterning, shoot meristem function, ovule morphogenesis, xylem fiber differentiation, and cell division in the vascular cambium1-6. Such diverse expression and functionality raises the question of how ER signalling can specify such distinct cell behaviours. One mechanism is via cell-type specific interactions with co-receptors, ligands, or other proteins that modulate signalling. However, little is known about ER interactors in the vascular cambium, a bifacial stem cell niche that generates phloem and xylem (Figure 1A). Combinatorial mutations between ER, ERL1 and ERL2 and receptor kinases of a second family, PXY, PXL1, and PXL2, show severe cambial defects5,7, but the mechanism underpinning these phenotypes is not known. Here we discovered that PXY proteins form protein complexes with ER and ERL2. PXY signalling can be manipulated by altering levels of its cognate ligand, TDIF. In genetic analysis, plant lines in which TDIF levels were altered had dramatic phenotypic changes that required the presence of ER or ERL2. Our results demonstrate that PXY signalling mediated cambium regulation depends on ER signalling and explains ER function in the cambium. Because the cambium produces xylem, which constitutes the wood in vascular plants, our findings position PXY-ER complexes at the centre of the accumulation of this versatile biomaterial and essential carbon sink. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC="FIGDIR/small/594489v1_fig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@289bb6org.highwire.dtl.DTLVardef@6d0fdorg.highwire.dtl.DTLVardef@1829836org.highwire.dtl.DTLVardef@d70b3b_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO PXY forms heterodimers with ER and ERL2 (A) Transverse sections of a wild type hypocotyl showing the region of secondary growth. Black rectangle marks the area of cambium shown in the diagrammatic representation on the lower left. (B-D) Localisation of PXY-CFP (B), ER-YFP (C) and overlap (D) in Nicotiana epidermal cells. (E) FRET signal. (F) Graph showing FRET efficiencies of PXY-CFP and ER/ERL1/ERL2-YFP pairs. (G-H) Coimmunoprecipitation of PXY-FLAG with ER-HA or ERL2-HA and vice versa in Arabidopsis cells. Scales (A) are 50 M. C_FIG

plant biology↗

Massively parallel interrogation of human functional variants modulating cancer immunosurveillance

Anti-PD-1/PD-L1 immune checkpoint blockade (ICB) therapy has revolutionized clinical cancer treatment, while abnormal PD-L1 or HLA-I expression in patients can significantly impact the therapeutic efficacy. Somatic mutations in cancer cells that modulate these critical immune regulators are closely associated with tumor progression and ICB response. However, a systematic interpretation of cancer immune-related mutations is still lacking. Here, we harnessed the ABEmax system to establish a large-scale sgRNA library encompassing approximately 820,000 sgRNAs that target all feasible Serine/Threonine/Tyrosine residues across the human genome, which systematically unveiled thousands of novel mutations that decrease or augment PD-L1 or HLA-I expression. Notably, we revealed functional mutations that co-regulate PD-L1 and HLA-I expression, represented by the clinically relevant mutation SETD2_Y1666, and verified that it can benefit from immunotherapy in vivo. Our findings generate an unprecedented resource of functional residues regulating cancer immunosurveillance, meanwhile, offer valuable guidance for clinical diagnosis, ICB therapy, and the development of innovative drugs in cancer treatment.

cancer biology↗

HHIP protein interactions in lung cells provide insight into COPD pathogenesis

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. The primary causes of COPD are environmental, including cigarette smoking; however, genetic susceptibility also contributes to COPD risk. Genome-Wide Association Studies (GWASes) have revealed more than 80 genetic loci associated with COPD, leading to the identification of multiple COPD GWAS genes. However, the biological relationships between the identified COPD susceptibility genes are largely unknown. Genes associated with a complex disease are often in close network proximity, i.e. their protein products often interact directly with each other and/or similar proteins. In this study, we use affinity purification mass spectrometry (AP-MS) to identify protein interactions with HHIP, a well-established COPD GWAS gene which is part of the sonic hedgehog pathway, in two disease-relevant lung cell lines (IMR90 and 16HBE). To better understand the network neighborhood of HHIP, its proximity to the protein products of other COPD GWAS genes, and its functional role in COPD pathogenesis, we create HUBRIS, a protein-protein interaction network compiled from 8 publicly available databases. We identified both common and cell type-specific protein-protein interactors of HHIP. We find that our newly identified interactions shorten the network distance between HHIP and the protein products of several COPD GWAS genes, including DSP, MFAP2, TET2, and FBLN5. These new shorter paths include proteins that are encoded by genes involved in extracellular matrix and tissue organization. We found and validated interactions to proteins that provide new insights into COPD pathobiology, including CAVIN1 (IMR90) and TP53 (16HBE). The newly discovered HHIP interactions with CAVIN1 and TP53 implicate HHIP in response to oxidative stress.

genetics↗

Positional information modulates transient regeneration-activated cell states during vertebrate appendage regeneration.

Injury is a common occurrence in the life of organisms. Because the extent of damage cannot be predicted, injured organisms must determine how much tissue needs to be restored. It is known that amputation position determines the regeneration speed of amputated appendages in regeneration-competent animals. Yet, it is not clear how positional information is conveyed during regeneration. Here, we investigated tissue dynamics in regenerating caudal fins in the African killifish (Nothobranchius furzeri). We report position-specific, differential modulation of the spatial distribution, duration, and magnitude of proliferation. Regenerating fins profiled by single cell RNA sequencing identified a Transient Regeneration-Activated Cell State (TRACS) that is amplified to match a given amputation position. We located this TRACS to the basal epidermis and found them to express components and modifiers of the extracellular matrix (ECM). We propose a role for these cells in transducing positional information to the regenerating blastema by remodeling the ECM. HighlightsO_LIAmputation position changes tissue-wide proliferation response C_LIO_LITranscriptional compartmentalization is relative to injury type C_LIO_LIRegeneration deploys Transient Regeneration-Activated Cell States C_LIO_LIPrediction: positional information is transduced by ECM changes during regeneration C_LI

developmental biology↗

A PTER-dependent pathway of taurine metabolism linked to energy balance

Taurine is a conditionally essential micronutrient and one of the most abundant amino acids in humans1-3. In endogenous taurine metabolism, dedicated enzymes are involved in biosynthesis of taurine from cysteine as well as the downstream derivatization of taurine into secondary taurine metabolites4,5. One such taurine metabolite is N-acetyltaurine6. Levels of N-acetyltaurine are dynamically regulated by diverse physiologic perturbations that alter taurine and/or acetate flux, including endurance exercise7, nutritional taurine supplementation8, and alcohol consumption6,9. While taurine N-acetyltransferase activity has been previously detected in mammalian cells6,7, the molecular identity of this enzyme, and the physiologic relevance of N-acetyltaurine, have remained unknown. Here we show that the orphan body mass index-associated enzyme PTER (phosphotriesterase-related)10 is the principal mammalian taurine N-acetyltransferase/hydrolase. In vitro, recombinant PTER catalyzes bidirectional taurine N-acetylation with free acetate as well as the reverse N-acetyltaurine hydrolysis reaction. Genetic ablation of PTER in mice results in complete loss of tissue taurine N-acetyltransferase/hydrolysis activities and systemic elevation of N-acetyltaurine levels. Upon stimuli that increase taurine levels, PTER-KO mice exhibit lower body weight, reduced adiposity, and improved glucose homeostasis. These phenotypes are recapitulated by administration of N-acetyltaurine to wild-type mice. Lastly, the anorexigenic and anti-obesity effects of N-acetyltaurine require functional GFRAL receptors. Together, these data uncover enzymatic control of a previously enigmatic pathway of secondary taurine metabolism linked to energy balance.

biochemistry↗

Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition

A major contributor to poor sensitivity to anti-cancer kinase inhibitor therapy is drug-induced cellular adaptation, whereby remodeling of signaling and gene regulatory networks permits a drug-tolerant phenotype. Here, we resolve the scale and kinetics of critical subcellular events following oncogenic kinase inhibition and preceding cell cycle re-entry, using mass spectrometry-based phosphoproteomics and RNA sequencing to capture molecular snapshots within the first minutes, hours, and days of BRAF kinase inhibitor exposure in a human BRAF-mutant melanoma model of adaptive therapy resistance. By enriching specific phospho-motifs associated with mitogenic kinase activity, we monitored the dynamics of thousands of growth- and survival-related protein phosphorylation events under oncogenic BRAF inhibition and drug removal. We observed early and sustained inhibition of the BRAF-ERK axis, gradual downregulation of canonical cell cycle-dependent signals, and three distinct and reversible phase transitions toward quiescence. Statistical inference of kinetically-defined signaling and transcriptional modules revealed a concerted response to oncogenic BRAF inhibition and a dominant compensatory induction of SRC family kinase (SFK) signaling, which we found to be at least partially driven by accumulation of reactive oxygen species via impaired redox homeostasis. This induction sensitized cells to co-treatment with an SFK inhibitor across a panel of patient-derived melanoma cell lines and in an orthotopic mouse xenograft model, underscoring the translational potential for measuring the early temporal dynamics of signaling and transcriptional networks under therapeutic challenge.

systems biology↗

Individualized functional connectivity markers associated with motor and mood symptoms of Parkinson's disease

Parkinsons disease (PD) is a complex neurological disorder characterized by many motor and non-motor symptoms. While most studies focus on the motor symptoms of the disease, it is important to identify markers that underlie different facets of the disease. In this case-control study, we sought to discover reliable, individualized functional connectivity markers associated with both motor and mood symptoms of PD. Using functional MRI, we extensively sampled 166 patients with PD (64 women, 102 men; mean age=61.8 years, SD=7.81) and 51 healthy control participants (32 women, 19 men; mean age=55.68 years, SD=7.62). We found that a model consisting of 44 functional connections predicted both motor (UPDRS-III: Pearson r=0.21, FDR-adjusted p=0.006) and mood symptoms (HAMD: Pearson r=0.23, FDR-adjusted p=0.006; HAMA: Pearson r=0.21, FDR-adjusted p=0.006). Two sets of connections contributed differentially to these predictions. Between-network connections, mainly connecting the sensorimotor and visual large-scale functional networks, substantially contributed to the prediction of motor measures, while within-network connections in the insula and sensorimotor network contributed more so to mood prediction. The middle to posterior insula region played a particularly important role in predicting depression and anxiety scores. We successfully replicated and generalized our findings in two independent PD datasets. Taken together, our findings indicate that sensorimotor and visual network markers are indicative of PD brain pathology, and that distinct subsets of markers are associated with motor and mood symptoms of PD.

neuroscience↗

Mitochondrial fission surveillance is coupled to Caenorhabditis elegans DNA and chromosome segregation integrity

Mitochondrial fission and fusion are tightly regulated to specify mitochondrial abundance, localization, and arrangement during cell division as well as in the diverse differentiated cell types and physiological states. However, the regulatory pathways for such mitochondrial dynamics are less explored than the mitochondrial fission and fusion components. Here we report a large-scale screen for genes that regulate mitochondrial fission. Mitochondrial fission defects cause a characteristic asymmetric fluorescent pattern in embryos carrying mitochondrial stress reporter genes. Using this asymmetric activation, we performed RNAi screens that identified 3 kinase genes from a [~]500-kinase library and another 11 genes from 3,300 random genes that function in mitochondrial fission. Many of these identified genes play roles in chromosome segregation. We find that chromosome missegregation and genome instability lead to dysregulation of mitochondrial fission in a manner independent of Drp-1. ATL-1, the C. elegans ATR orthologue, plays a protective role in alleviating the mitochondrial fission defect caused by chromosome missegregation. This establishes a screening paradigm for identifying mitochondrial fission regulators which reveals the role of ATR in surveilling mitochondrial fission to mitigate dysregulation caused by improper chromosome segregation.

cell biology↗

A Comparative Machine Learning Study of Connectivity-Based Biomarkers of Schizophrenia

Functional connectivity holds promise as a biomarker of psychiatric disorders. Yet, its high dimensionality, combined with small sample sizes in clinical research, increases the risk of overfitting when the aim is prediction. Recently, low-dimensional representations of the connectome such as macroscale cortical gradients and gradient dispersion have been proposed, with studies noting consistent gradient and dispersion differences in psychiatric conditions. However, it is unknown which of these derived measures has the highest predictive capacity and how they compare to raw connectivity. Our study evaluates which connectome features -- functional connectivity, gradients, or gradient dispersion -- best identify schizophrenia. Figure 1 summarizes this work. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=41 SRC="FIGDIR/small/573898v1_fig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@12c0fdorg.highwire.dtl.DTLVardef@13c4702org.highwire.dtl.DTLVardef@59f8d7org.highwire.dtl.DTLVardef@e00f56_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO Overview of the methods and main outcome of the paper. Schematic images: Flaticon.com. NC: neurotypical controls, SCZ: patients with schizophrenia. C_FIG Surprisingly, our findings indicate that functional connectivity outperforms its low-dimensional derivatives such as cortical gradients and gradient dispersion in identifying schizophrenia. Additionally, we demonstrated that the edges which contribute the most to classification performance are the ones connecting primary sensory regions.

neuroscience↗

In vitro determination of osteo-adipogenic lineage choice of bone marrow stromal/stem cells (BMSCs)

Bone marrow stromal/stem cells (BMSCs) are primitive and heterogeneous cells that can be differentiated into osteoblasts, adipocytes and other subsets. Their bone-fat lineage commitment is responsible for the homeostasis of bone marrow microenvironment. However, there are little effective methods and evidence to simultaneously evaluate the lineage commitment of BMSCs. Here we provide a mixed osteo-adipogenic (OA) differentiation medium that could enable BMSCs differentiation into osteoblasts and adipocytes in vitro, and establish a method for simultaneous assessment of bone-fat lineage allocation of BMSCs based on the Alizarin red S and Oil red O staining, which have been used for detection of specific mineralized nodules and lipid droplets, respectively. This assay provides a specifically simple but effective and low-cost method to visualize the osteogenesis and adipogenesis of BMSCs, and evaluate the differentiation efficiency of lineage allocation of BMSCs.

cell biology↗

Castration Model Illuminates Sex Differences in Healthy Aging: Insights from Metabolome and Transcriptome Analyses

BackgroundSex, as a critical biological variable, has historically been underappreciated, despite the pervasive influence of sexual dimorphism across physiological and pathological processes. A significant obstacle to advancing sex-biased biological research is the absence of an effective animal model. In recent years, castration has emerged as a potential model for elucidating sex-based differences in the context of healthy aging, where it has been shown to equalize lifespan and growth trajectories in genetically diverse mice. However, the molecular shifts induced by castration in common laboratory models, such as C57BL/6 mice, and the broader applicability of this model to other sex-related biological contexts remain largely unexplored. MethodsWe employed multi-omics and observational analyses to investigate the molecular changes associated with sex and sex hormones following castration. We analyzed serum, kidney, and liver samples from 12-week-old and 18-month-old castrated male C57BL/6 mice, alongside intact male and female counterparts. The castration model was further applied to assess differences in cisplatin-induced toxicity and age-related cognitive decline in comparison to unaltered controls. ResultsLC-MS/MS metabolomics revealed that castrated males exhibited substantial alterations in steroid hormone levels and increased concentrations of antioxidant compounds, such as taurine, despite identical diets. Integrated metabolome-transcriptome analysis confirmed distinct patterns of lipid peroxidation and oxidative stress across sham-operated female, male, and castrated male mice. Histopathological evaluations following cisplatin treatment and aging-related behavioral tests demonstrated the models utility in investigating sex-dependent drug toxicity and cognitive decline. These findings underscored the critical role of sex hormones in modulating both toxicity defense mechanisms and cognitive performance. ConclusionThis study provides a systematic multi-omics spectrum on the castration model and demonstrates its capacity to feminize metabolic and transcriptomic profiles, establishing it as a valuable tool for exploring sex hormone-driven biological differences. Our findings lay the groundwork for further mechanistic studies and broaden the potential applications of the castration model in diverse biomedical research domains.

systems biology↗

Neutrophil extracellular traps drive lupus flares with acute skin and kidney inflammation triggered by ultraviolet irradiation

Neutrophil extracellular traps (NETs) are major pathogenic effectors in chronic systemic lupus erythematosus (SLE) pathogenesis, but how they mediate acute, UVB-triggered skin inflammation and subsequent systemic injury remains poorly defined. Using UVB-irradiated lupus-prone mice, we identified an acute NETosis-driven skin-kidney inflammatory axis linking photosensitivity to renal inflammation. UVB induced concurrent skin and kidney inflammation with neutrophil infiltration, NETosis, and release of NET-associated effector cytokines/complement C3 and proteinuria. Mechanistically, PKC-dependent nuclear envelope rupture licensed NETosis, whereas Pkc deletion markedly suppressed NET formation and inflammation in both organs. Interestingly, only a subset of skin-infiltrating neutrophils underwent local NETosis. Spatiotemporal photoconversion tracking revealed that surviving, CXCR4-expressing neutrophils disseminated from UVB-irradiated skin to kidneys, where they underwent secondary NETosis, delivering cytokines/C3 to drive renal inflammation. Genetic or pharmacological CXCR4 inhibition blocked this dissemination, attenuating renal inflammation and proteinuria. These findings identify an acute NETosis-driven skin-kidney axis, highlighting PKC-dependent NETosis and CXCR4-mediated neutrophil dissemination as therapeutic targets in photosensitive lupus.

pathology↗

Scm6A: A fast and low-cost method for quantifying m6A modifications at the single-cell level

It is widely accepted that m6A exhibits significant intercellular specificity, which poses challenges for its detection using existing m6A quantitative methods. In this study, we introduce Scm6A, a machine learning-based approach for single-cell m6A quantification. Scm6A leverages input features derived from the expression levels of m6A trans regulators and cis sequence features, and found that Scm6A offers remarkable prediction efficiency and reliability. To further validate the robustness and precision of Scm6A, we applied a winscore-based m6A calculation method to conduct m6A-seq analysis on CD4+ and CD8+ T-cells isolated through magnetic-activated cell sorting (MACS). Subsequently, we employed Scm6A for analysis on the same samples. Notably, the m6A levels calculated by Scm6A exhibited a significant positive correlation with m6A quantified through m6A-seq in different cells isolated by MACS, providing compelling evidence for Scm6As reliability. We also used the scm6A-seq method to validate the reliability of our approach. Additionally, we performed single-cell level m6A analysis on lung cancer tissues as well as blood samples from COVID-19 patients, and demonstrated the landscape and regulatory mechanisms of m6A in different T-cell subtypes from these diseases. In summary, our work has yielded a novel, dependable, and accurate method for single-cell m6A detection. We are confident that Scm6A will have broad applications in the realm of m6A-related research.

bioinformatics↗