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He, Y.

Publications and source records attributed to He, Y..

At least 361 records · Page 20Linked to original sources

Integrative analysis of multi-omics and machine learning highlighted an m6A-related mRNA signature as a robust AAA progression predictor

ObjectiveAbdominal aortic aneurysm (AAA) is a life-threatening disease in vascular surgery with significant morbidity and mortality rates upon rupture. Despite surgical interventions, effective targeted drugs for non-surgical candidates are lacking. M6A methylation, a dynamic RNA modification, has been implicated in various diseases, but its role in AAA remains poorly understood. In this study, we aimed to explore the participation of M6A in the progression of AAA progression through multi-omics and machine learning. Approach and Resultswe conducted methylated RNA immunoprecipitation with next-generation sequencing (MeRIP-seq) to profile the m6A methylome in AAA tissues, identifying differentially methylated genes (DMGs). Integrating multi-omics data from RNA-sequencing (RNA-seq) in GEO databases, we developed a machine learning-based AAA m6A-related mRNA signature (AMRMS) to predict AAA dilation risk. The AMRMS demonstrated robust predictive performance in distinguishing AAA patients with large AAA and small AAA. Notably, the AMRMS highlighted FKBP11 as a key gene with a significant impact on the predicted model. Subsequent single-cell RNA sequencing (ScRNA-seq) revealed the pivotal role of FKBP11-positive plasma cells in AAA progression. ConclusionsOur study provides novel insights into the regulatory role of m6A modification in AAA pathogenesis, and further develop a promising AMRMS for risk evaluation in AAA patients. Furthermore, the identification of FKBP11 positive plasma cells as significant contributors to AAA progression opens new avenues for targeted therapeutic interventions.

bioinformatics↗

Polysaccharides from Balanophora harlandii Hook: Isolation, Characterization, and Anti-Inflammation Activities

Balanophora harlandii Hook (B. harlandii), a folk medicine, has been traditionally employed to treat traumatic bleeding, gastroenteritis, icteric hepatitis, hemorrhoids, and other conditions. In this work, polysaccharides with anti-inflammatory effects were extracted and purified from B. harlandii. The extraction conditions were optimized, and the properties of one purified neutral fraction, denoted as BHPs-W-S3, were analyzed. Gel permeation chromatography (GPC) was carried out to measure the molecular weight. The structure of BHPs-W-S3 was assessed based on monosaccharide composition analysis, Fourier transform infrared (FT-IR) spectroscopy, methylation analysis, and nuclear magnetic resonance (NMR) spectroscopy. BHPs-W-S3 has a molecular weight of 14.1 kDa, and its three main monosaccharides are glucose, galactose, and mannose with a molar ratio of 6.4:1.7:1.1. Its main chain consists of [->]6)--D-Glcp-(1[->], [->]4,6)--D-Glcp-(1[->], [->]6)-{beta}-D-Galp-(1[->], [->]3,6)-{beta}-D-Galp-(1[->], and it has branch chains at the O-4 and/or O-3 positions. In addition, in vitro experiments show that the polysaccharides from B. harlandi can decrease the phosphorylation level of p65 and IKB- in LPS-induced RAW264.7 cells to reduce the expression of the pro-inflammatory genes such as TNF-, IL-6, and IL-1{beta}. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=117 SRC="FIGDIR/small/559774v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@17ccfeforg.highwire.dtl.DTLVardef@137726borg.highwire.dtl.DTLVardef@139100dorg.highwire.dtl.DTLVardef@14cce50_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

Voxelated bioprinting of modular double-network bio-ink droplets

Analogous of pixels to two-dimensional pictures, voxels -- in the form of either small cubes or spheres -- are the basic building blocks of three-dimensional (3D) objects. However, precise manipulation of viscoelastic bio-ink voxels in 3D space represents a grand challenge in both soft matter science and biomanufacturing. Here, we present a voxelated bioprinting technology that enables the digital assembly of interpenetrating alginate and polyacrylamide (PAM) double-network (DN) hydrogel droplets. The hydrogel is crosslinked via additive-free bioorthogonal chemistry involving a pair of stoichiometrically matched polymers. We develop theoretical frameworks to describe the crosslinking kinetics and stiffness of the hydrogels, and construct a diagram-of-state to delineate their mechanical properties. Multi-channel print nozzles are developed to allow on-demand mixing of highly viscoelastic bio-inks without significantly impairing cell viability. Further, we showcase the distinctive capability of voxelated bioprinting by creating highly complex 3D structures such as a hollow sphere composed of interconnected yet distinguishable hydrogel particles. Finally, we validate the cytocompatibility and in vivo stability of the printed DN scaffolds through cell encapsulation and animal transplantation.

bioengineering↗

IL-23 receptor signaling licenses group 3-like innate lymphoid cells to restrict a live-attenuated oral Chlamydia vaccine in the gut

An IFN{gamma}-susceptible mutant of Chlamydia muridarum is attenuated in pathogenicity in the genital tract and recently licensed as an intracellular Oral vaccine vector or intrOv. Oral delivery of intrOv induces transmucosal protection in the genital tract but intrOv itself is cleared from the gut (without shedding any infectious particles externally) by IFN{gamma} from group 3-like innate lymphoid cells (ILC3s). We further characterized the intrOv interactions with ILC3s in the current study since the interactions may impact both the safety and efficacy of intrOv as an oral Chlamydia vaccine. Intracolonic inoculation with intrOv induced IFN{gamma} that in return inhibited intrOv. The intrOv-IFN{gamma} interactions were dependent on ROR{gamma}t, a signature transcriptional factor of ILC3s. Consistently, transfer of oral intrOv-induced ILC3s from ROR{gamma}t-GFP reporter mice to IFN{gamma}-deficient mice rescued the inhibition of intrOv. Thus, IFN{gamma} produced by intrOv-induced ILC3s is likely responsible for inhibiting intrOv, which is further supported by the observation that oral intrOv did induce significant levels of IFN{gamma}-producing LC3s (IFN{gamma}+ILC3s). Interestingly, IL-23 receptor knockout (IL-23R-/-) mice no longer inhibited intrOv, which was accompanied with reduced colonic IFN{gamma}. Transfer of oral intrOv-induced ILC3s rescued the IL-23R-/- mice to inhibit intrOv, validating the dependence of ILC3s on IL-23R signaling for inhibiting intrOv. Clearly, intrOv induces intestinal IFN{gamma}+ILC3s for its own inhibition in the gut, which is facilitated by IL-23R signaling. These findings have provided a mechanism for ensuring the safety of intrOv as an oral Chlamydia vaccine and a platform for investigating how oral intrOv induces transmucosal protection in the genital tract. SignificanceDespite the extensive efforts, no subunit vaccine is available for protecting humans against C. trachomatis infection and pathogenicity. Recent studies have led to a licensed live-attenuated oral vaccine (intrOv) that is both effective in inducing transmucosal protection in the genital tract and safe due to its susceptibility to IFN{gamma} delivered by ILC3s. Characterization of the intrOv interactions with IFN{gamma}-producing ILC3s in the current study has revealed a critical role of IL-23 receptor signaling in facilitating ILC3s to clear intrOv from the gut, which has provided a mechanism for ensuring the safety of intrOv and laid a foundation for further revealing the mechanisms by which oral intrOv induces transmucosal immunity in the genital tract since ILC3s can also function as antigen presenting cells.

immunology↗

SACNet: A Multiscale Diffeomorphic Convolutional Registration Network with Prior Neuroanatomical Constraints for Flexible Susceptibility Artifact Correction in Echo Planar Imaging

Susceptibility artifacts (SAs), inevitable in brain diffusion MR (dMRI) scans acquired using single-shot echo planar imaging (EPI), severely compromise the accurate detection of human brain structure. Existing SA correction (SAC) methods offer inadequate correction quality and limited applicability across diverse datasets with varied acquisition protocols. To address these challenges, we proposed SACNet, a SAC framework based on unsupervised registration convolutional networks, featuring: i) a novel diffeomorphism regularization function to avoid unnatural SAC warps, modified from a potential well function; ii) an integration with prior neuroanatomical constraints and coarse-to-fine processing strategy to enables multi-scale geometric and intensity recoveries in severe distorted areas; iii) a unified registration framework that incorporates multiple phase-encoding (PE) EPI images and structural images, ensuring compatibility with both single- and inverse-PE protocols, with or without field maps. Utilizing simulated dMRI images and over 2000 brain scans from neonatal, child, adult and traveling participants, our method consistently demonstrates state-of-the-art correction performance. Notably, SACNet effectively reduces SAs-related multicenter effects compared to existing methods. We have developed user-friendly tools using containerization techniques, hope to facilitate SAC correction quality across extensive neuroimaging studies.

neuroscience↗

Development of Sensorimotor-Visual Connectome Gradient at Birth Predicts Cognitive Outcomes at 2 Years of Age

Functional connectome gradients represent fundamental brain organizing principles. Here, we investigate the maturation of the macroscopic connectome gradients in a task-free functional MRI dataset consisting of 39 preterm and term babies aged 31-42 postmenstrual weeks and its connection with postnatal cognitive growth. We show that the principal sensorimotor-to-visual gradient is present in baby connectomes around 35.6 postmenstrual weeks and continuously develops towards a more term-like pattern. The gradients global topographical structure undergoes progressive maturation with age, characterized by increases in explanation ratio, gradient range and gradient variation. The development of focal gradients is mostly localized in primary regions serving sensory, motor and visual functions. Machine learning approaches revealed that the connectome gradient at birth significantly predicts individual cognitive outcomes at 2-y follow-up. These findings highlight the early emerging rules of functional connectome gradients and have implications for understanding how the connectome gradients at birth underlies cognitive growth in later life. HighlightsO_LISensorimotor-to-visual gradient is present around 35.6 postmenstrual weeks C_LIO_LIGlobal gradient structure undergoes substantial changes during the third trimester C_LIO_LIRegional gradient develops mostly in primary sensory, motor, and visual regions C_LIO_LISensorimotor-to-visual gradient at birth predicts cognitive outcomes at age 2 C_LI

neuroscience↗

Probucol mitigates high-fat diet-induced cognitive and social impairments through disruption of redox-inflammation association

Obesity and its detrimental metabolic consequences are commonly recognized as risk factors for impairments in the central nervous system (CNS). However, the direct link between metabolic abnormalities and brain functions during high-fat feeding remains unclear. Here, we show that treatment with probucol, a cholesterol-lowering drug, counteracts the cognitive and social impairments induced by a high-fat diet in mice, while having no effect on mood disorders. Unexpectedly, the beneficial effects of probucol do not result from rectifying obesity or restoring glucose and lipid homeostasis, as evidenced by the lack of change in body weight, blood glucose and serum cholesterol levels. Interestingly, high-fat feeding led to association among the levels of redox factors, including oxidized low-density lipoprotein, glutathione and malondialdehyde, as well as a significant negative correlation between malondialdehyde levels and behavioral performance. Probucol treatment interrupts these linkages and differentially regulates the proteins for the generation of reactive oxygen species and reactive nitrogen species in the brain. These findings prompt a reconsideration of the mechanism of action of probucol, as well as the roles of altered metabolic profiles and free radicals in brain function.

animal behavior and cognition↗

Gene expression analysis suggests immunosuppressive roles of endolysosomes in glioblastoma

Targeting endolysosomes is a strategy extensively pursued for treating cancers, including glioblastomas (GBMs), mainly on the basis that the intact function of these subcellular organelles is key to tumor cell autophagy and survival. Here, by gene expression analyses and cell type abundance estimation in GBMs, we showed that genes associated with the endolysosomal machinery are more prominently featured in non-tumor cells in GBMs than in tumor cells, and that tumor-associated macrophages represent the primary immune cell type that contributes to this trend. Further analyses found an enrichment of endolysosomal pathway genes in immunosuppressive (pro-tumorigenic) macrophages, such as M2-like macrophages or those associated with worse prognosis in glioma patients, but not in those linked to inflammation (anti-tumorigenic). Specifically, genes critical to the hydrolysis function of endolysosomes, including progranulin and cathepsins, were among the most positively correlated with immunosuppressive macrophages, and elevated expression of these genes is associated with worse patient survival in GBMs. Together, these results implicate the hydrolysis function of endolysosomes in shaping the immunosuppressive microenvironment of GBM. We propose that targeting endolysosomes, in addition to its detrimental effects on tumor cells, can be leveraged for modulating immunosuppression to render GBMs more amendable to immunotherapies.

cancer biology↗

Estrogen prevents age-dependent beige adipogenesis failure through NAMPT-controlled ER stress pathway

Thermogenic beige adipocytes are recognized as potential therapeutic targets for combating metabolic diseases. However, the metabolic advantages they offer are compromised with aging. Here, we show that treating mice with estrogen (E2), a hormone that decreases with age, to mice can counteract the aging- related decline in beige adipocyte formation when subjected to cold, while concurrently enhancing energy expenditure and improving glucose tolerance. Mechanistically, we find that nicotinamide phosphoribosyltranferase (NAMPT) plays a pivotal role in facilitating the formation of E2-induced beige adipocytes, which subsequently suppresses the onset of age-related ER stress. Furthermore, we found that targeting NAMPT signaling, either genetically or pharmacologically, can restore the formation of beige adipocytes by increasing the number of perivascular adipocyte progenitor cells. Conversely, the absence of NAMPT signaling prevents this process. In conclusion, our findings shed light on the mechanisms governing the age-dependent impairment of beige adipocyte formation and underscore the E2-NAMPT controlled ER stress as a key regulator of this process. HighlightsO_LIEstrogen restores beige adipocyte failure along with improved energy metabolism in old mice. C_LIO_LIEstrogen enhances the thermogenic gene program by mitigating age-induced ER stress. C_LIO_LIEstrogen enhances the beige adipogenesis derived from SMA+ APCs. C_LIO_LIInhibiting the NAMPT signaling pathway abolishes estrogen-promoted beige adipogenesis. C_LI

physiology↗

Self-assembly vascularized human cardiac organoids model cardiac diseases in petri dishes and in mice

In this study, we generated self-assembly cardiac organoids (COs) from human pluripotent stem cells by dual-phase modulation of Wnt/{beta}-catenin pathway, utilizing CHIR99021 and IWR-1-endo. The resulting COs exhibited a diverse array of cardiac-specific cell lineages, cardiac cavity-like structures and demonstrated the capacity of spontaneous beating and vascularization in vitro. We further employed these complex and functional COs to replicate conditions akin to human myocardial infarction and SARS-CoV-2 induced fibrosis. These models accurately captured the pathological characteristics of these diseases, in both in vitro and in vivo settings. In addition, we transplanted the COs into NOD SCID mice and observed that they survived and exhibited ongoing expansion in vivo. Impressively, over a span of 75-day transplantation, these COs not only established blood vessel-like structures but also integrated with the host mices vascular system. It is noteworthy that these COs developed to a size of approximately 8 mm in diameter, slightly surpassing the dimensions of the mouse heart. This innovative research highlighted the potential of our COs as a promising avenue for cardiovascular research and therapeutic exploration.

cell biology↗

High-throughput Extracellular Matrix Proteomics of Human Lungs Enabled by Photocleavable Surfactant and diaPASEF

The extracellular matrix (ECM) is a complex assembly of proteins that provide interstitial scaffolding and elastic recoil to human lungs. The pulmonary extracellular matrix (ECM) is increasingly recognized as an independent bioactive entity by creating biochemical and mechanical signals that influence disease pathogenesis, making it an attractive therapeutic target. However, the pulmonary ECM proteome ("matrisome") remains challenging to analyze by mass spectrometry due to its inherent biophysical properties and relatively low abundance. Here, we introduce a strategy designed for rapid and efficient characterization of the human pulmonary ECM using the photocleavable surfactant Azo. We coupled this approach with trapped ion mobility MS with diaPASEF to maximize depth of matrisome coverage. Using this strategy, we identify nearly 400 unique matrisome proteins with excellent reproducibility that are known to be important in lung biology, including key insoluble ECM proteins.

systems biology↗

Antibody inhibition of influenza A virus assembly and release

Antibodies are frontline defenders against influenza virus infection, providing protection through multiple complementary mechanisms. Although a subset of monoclonal antibodies (mAbs) have been shown to restrict replication at the level of virus assembly and release, it remains unclear how potent and pervasive this mechanism of protection is, due in part to the challenge of separating this effect from other aspects of antibody function. To address this question, we developed imaging-based assays to determine how effectively a broad range of mAbs against the IAV surface proteins can specifically restrict viral egress. We find that classically neutralizing antibodies against hemagglutinin are broadly multifunctional, inhibiting virus assembly and release at concentrations one- to twenty-fold higher than the concentrations at which they inhibit viral entry. These antibodies are also capable of altering the morphological features of shed virions, reducing the proportion of filamentous particles. We find that antibodies against neuraminidase and M2 also restrict viral egress, and that inhibition by anti-neuraminidase mAbs is only partly attributable to a loss in enzymatic activity. In all cases, antigen crosslinking - either on the surface of the infected cell, between the viral and cell membrane, or both - plays a critical role in inhibition, and we are able to distinguish between these modes experimentally and through a structure-based computational model. Together, these results provide a framework for dissecting antibody multifunctionality that could help guide the development of improved therapeutic antibodies or vaccines, and that can be extended to other viral families and antibody isotypes.

microbiology↗

SHRIMP: Genetically Encoded mScarlet-derived Red Fluorescent Hydrogen Peroxide Sensor with High Brightness and Minimal Photoactivation

Red fluorescent protein (RFP) derived indicators are popular due to advantages such as increased imaging depth and reduced autofluorescence and cytotoxicity. However, most RFP-based indicators have low brightness and are susceptible to blue-light-induced photoactivation. In this study, we aimed to overcome the limitations of existing red fluorescent indicators. We utilized mScarlet-I, a highly bright and robust monomeric RFP, to develop a circularly permuted variant called cpmScarlet. We further engineered cpmScarlet into a novel red fluorescent indicator specifically for hydrogen peroxide (H2O2), a crucial reactive oxygen species (ROS) involved in redox signaling and oxidative stress. The resultant indicator, SHRIMP (mScarlet-derived H2O2 Redox Indicator with Minimal Photoactivation), exhibited excitation and emission peaks at [~]570 and 595 nm, respectively, and demonstrated a maximum five-fold fluorescence turn-off response to H2O2. Importantly, SHRIMP was not susceptible to blue-light-induced photoactivation and showed high brightness both in its purified protein form and when expressed in mammalian cells. We successfully employed SHRIMP to visualize H2O2 dynamics in mammalian cells with exogenously added H2O2 and in activated macrophages. Additionally, we demonstrated its utility for multiparameter imaging by co-expressing SHRIMP with GCaMP6m, a green fluorescent calcium indicator, enabling simultaneous monitoring of H2O2 and calcium dynamics in mammalian cells in response to thapsigargin (TG) and epidermal growth factor (EGF) stimulation. Furthermore, we expressed SHRIMP in isolated primary mouse islet tissue, and SHRIMP exhibited excellent brightness and capability for effective detection of H2O2 production during streptozotocin (STZ)-induced {beta}-cell damage. This study successfully transformed mScarlet-I, a bright and robust monomeric RFP, into a circularly permuted variant (cpmScarlet) and developed the first cpmScarlet-based genetically encoded fluorescent indicator called SHRIMP. SHRIMP exhibits high brightness and insensitivity to photoactivation and is a valuable tool for real-time monitoring of H2O2 dynamics in various biological systems. Further research may yield an expanded family of cpmScarlet-based red fluorescent indicators with enhanced photophysical properties.

biochemistry↗

Development of connectome dynamics at birth predicts neurocognitive outcomes at age 2

The functional connectome of the human brain comprises time-varying network structure that facilitates efficient inter-module communication and support flexible cognitive functions. However, little is known about how the connectome dynamics of the brain emerges and develops at very early stages of human life and whether this dynamics is predictive of neurocognitive outcomes later in life. Here, we employed resting-state functional MRI data from 39 infants (31 to 42 postmenstrual weeks) and a multilayer network model to characterize the development of connectome dynamics during the third trimester and its critical role in predicting future neurocognitive outcomes at 2 years of age. We observed that the modular architecture of baby functional connectomes spontaneously reconfigures over time, with lower network module switching across time primarily in the primary regions and higher module switching mainly in the association areas. With development, the dynamic switching between the brain modules was significantly decreased, primarily located in the lateral precentral gyrus, medial temporal lobe, and subcortical areas. The clustering analysis further revealed that the primary areas displayed a higher developmental rate than the higher-order systems. Using the support vector regression approach, we found that brain connectome dynamics at birth significantly predicted cognitive and language performance at 2 years of age. Our findings highlight the emergence and spatially inhomogeneous maturation of the neonate connectome dynamics, laying a critical neural foundation for the development of cognitive and language skills later in life.

neuroscience↗

A reverse-central-dogma pathway underlies ribosome-antibiotic efficacy and accelerates resistance evolution

In bacteria, the precise coordination of DNA replication, transcription and translation is mediated by dynamic interactions among the corresponding macromolecular machineries, playing a pivotal role in maintaining cellular homeostasis. Here we show that such coordination is hijacked by ribosome antibiotics to trigger secondary damage that predominantly contributes to their efficacy. Specifically, through developing a transcription dynamics profiling method, complemented by genetic and biochemical approaches, we unveil that translation inhibition disrupts transcription-translation coupling, leading to premature stalling of RNA polymerase (RNAP) at genome scale, which subsequently triggers extensive genomic instability. Moreover, mutagenic repairment of genomic lesions is mediated by heterogenous hyperactivation of SOS response, facilitating an inducible evolutionary path towards genetic resistance characterized by a unique mutation spectrum. Our findings thereby reveal a yet overlooked reverse-central-dogma pathway underlying actions of ribosome inhibitors, and establish a framework to understand antibiotic efficacy and induced mutagenesis through network disorder.

microbiology↗

Heterogeneity and Functional Analysis of Cardiac Fibroblasts in Heart Development

BackgroundAs one of the major cell types in the heart, fibroblasts play critical roles in multiple biological processes. Cardiac fibroblasts are known to develop from multiple sources, but their transcriptional profiles have not been systematically compared. Furthermore, while the function of a few genes in cardiac fibroblasts has been studied, the overall function of fibroblasts as a cell type remains uninvestigated. MethodsSingle-cell mRNA sequencing (scRNA-seq) and bioinformatics approaches were used to analyze the genome-wide genes expression and extracellular matrix genes expression in fibroblasts, as well as the ligand-receptor interactions between fibroblasts and cardiomyocytes. Single molecular in situ hybridization was employed to analyze the expression pattern of fibroblast subpopulation-specific genes. The Diphtheria toxin fragment A (DTA) system was utilized to ablate fibroblasts at each developmental phase. ResultsUsing RNA staining of Col1a1 at different stages, we grouped cardiac fibroblasts into four developmental phases. Through the analysis of scRNA-seq profiles of fibroblasts at 18 stages from two mouse strains, we identified significant heterogeneity, preserving lineage gene expression in their precursor cells. Within the main fibroblast population, we found differential expressions of Wt1, Tbx18, and Aldh1a2 genes in various cell clusters. Lineage tracing studies showed Wt1- and Tbx18-positive fibroblasts originated from respective epicardial cells. Furthermore, using a conditional DTA system-based elimination, we identified the crucial role of fibroblasts in early embryonic and heart growth, but not in neonatal heart growth. Additionally, we identified the zone- and stage-associated expression of extracellular matrix genes and fibroblast-cardiomyocyte ligand-receptor interactions. This comprehensive understanding sheds light on fibroblast function in heart development. ConclusionWe observed cardiac fibroblast heterogeneity at embryonic and neonatal stages, with preserved lineage gene expression. Ablation studies revealed their distinct roles during development, likely influenced by varying extracellular matrix genes and ligand-receptor interactions at different stages.

developmental biology↗

T2T-YAO: a Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

Since its initial release in 2001, the human reference genome has been continuously improved in both continuity and accuracy, and the recently-released telomere-to-telomere version--T2T-CHM13--reaches its top quality after 20 years of effort. However, T2T-CHM13 does not represent an authentic diploid human genome, but rather one derived from a simplified, nearly homozygous genome of a hydatidiform mole cell line. To address this limitation and provide an alternative pertinent to the Chinese population, the largest ethnic group in the world, we have assembled a complete diploid human genome of a male Han Chinese, T2T-YAO, which includes telomere-to-telomere assemblies for all the 22+X+M and 22+Y chromosomes in his two haploids inherited separately from his parents. Both haplotypes contain no artificial sequences or model nucleotides and possess a high quality comparable to CHM13, with fewer than one error per [~]14 Mb. Derived from the individual who lives in the aboriginal region of Han Chinese, T2T-YAO shows clear ancestry and potential genetic continuity from the ancient ancestors of the Han population. Each haplotype of T2T-YAO possesses [~]340 Mb exclusive sequences and [~]3100 unique genes as compared to CHM13, and their genome sequences show greater genetic distance to CHM13 than to each other in terms of nucleotide polymorphism and structural variations. The construction of T2T-YAO would serve as a high-quality diploid reference that enables precise delineation of genomic variations in a haplotype-sensitive manner, which could advance our understandings in human evolution, hereditability of diseases and phenotypes, especially within the context of the unique variations of the Chinese population.

genetics↗

Introducing PandaNovo for practical large-scale de novo peptide sequencing

De novo peptide sequencing is a promising approach for novel peptide discovery. We use a novel concept of complementary spectra to enhance ion information and propose a de novo sequencing model{pi} -HelixNovo based on Transformer architecture.{pi} -HelixNovo outperforms other state-of-the-art models and enhances the taxonomic resolution of gut metaproteome, taking a significant step forward in de novo sequencing.

bioinformatics↗