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Yang, Y.

Publications and source records attributed to Yang, Y..

At least 667 records · Page 37Linked to original sources
bioRxiv2024

Multi-omic characterization of allele-specific regulatory variation in hybrid pigs

Genetic variation in the regulation of gene expression contributes substantially to phenotypic variation. Understanding how variation in DNA sequences and epigentic modifications leads to gene expression variation remains a challenging task. In hybrid animals where cellular environments are homogeneous, differences between the expression of paternal and maternal alleles must be due to cis sequence or epigenic differences. Therefore, hybrid mapping is a powerful approach to efficiently identify and characterize genes under regulation through mechanisms in cis. In this study, using reciprocal crosses of the phenotypically divergent Duroc and Lulai pig breeds, we performed a comprehensive multi-omic characterization of regulatory variation across brain, liver, muscle, and placenta in four developmental stages. We produced one of the largest multi-omic datasets to date in pigs, including 16 whole genome sequenced genomes, 48 whole genome bisulfite sequencing, 168 ATAC-Seq and 168 RNA-Seq samples. We developed a novel read count-based method to reliably assess allele-specific methylation, chromatin accessibility, and RNA expression. We showed that tissue specificity was much stronger than developmental stage specificity in all of DNA methylation, chromatin accessibility, and gene expression. We identified 573 genes showing allele specific expression, including those influenced by parent-of-origin as well as allele genotype effects. By integrating methylation, chromatin accessibility, and gene expression data, many of these allele specific expression can be explained by allele specific methylation and/or chromatin accessibility. This study provides one of the most comprehensive characterizations of regulatory variation across multiple tissues and developmental stages in pigs and offers new opportunity of genetic improvement for this important food animal species.

developmental biology↗
bioRxiv2024

The asymmetric transfers of visual perceptual learning determined by the stability of geometrical invariants

We quickly and accurately recognize the dynamic world by extracting invariances from highly variable scenes, a process can be continuously optimized through visual perceptual learning (VPL). While it is widely accepted that the visual system prioritizes the perception of more stable invariants, the influence of the structural stability of invariants on VPL remains largely unknown. In this study, we designed three geometrical invariants with varying levels of stability for VPL: projective (e.g., collinearity), affine (e.g., parallelism), and Euclidean (e.g., orientation) invariants, following the Kleins Erlangen program. We found that learning to discriminate low-stability invariant transferred asymmetrically to those with higher stability, and that training on high-stability invariants enabled location transfer. To explore learning-associated plasticity in the visual hierarchy, we trained deep neural networks (DNNs) to model this learning procedure. We reproduced the asymmetric transfer between different invariants in DNN simulations and found that the distribution and time course of plasticity in DNNs suggested a neural mechanism similar to the reverse hierarchical theory (RHT), yet distinct in that invariant stability--not task difficulty or precision--emerged as the key determinant of learning and generalization. We propose that VPL for different invariants follows the Klein hierarchy of geometries, beginning with the extraction of high-stability invariants in higher-level visual areas, then recruiting lower-level areas for the further optimization needed to discriminate less stable invariants.

neuroscience↗
bioRxiv2024

A Bag-Of-Motif Model Captures Cell States at Distal Regulatory Sequences

Deciphering the intricate regulatory code governing cell-type-specific gene expression is a fundamental goal in genetics. Current methods struggle to capture the complex interplay between gene distal regulatory sequences and cell context. We developed a computational approach, BOM (Bag-of-Motifs), which represents cis-regulatory sequences by the type and number of TF binding motifs it contains, irrespective of motif order, orientation, and spacing. This simple yet powerful representation allows BOM to efficiently capture the complexity of cell-type-specific information encoded within these sequences. We apply BOM to mouse, human, and zebrafish distal regulatory regions, demonstrating remarkable accuracy. Notably, the method outperforms more complex deep learning models at the same task using fewer parameters. BOM can also uncover cross-species sequence similarities unrecognized by genome alignments. We experimentally validate our in silico predictions using enhancer reporter assay, showing that motifs with the most significant explanatory power are sequence determinants of cell-type specific enhancer activity. BOM offers a novel systematic framework for studying cell-type or condition-specific cis-regulatory sequences. Using BOM, we demonstrate the existence of a highly predictive sequence code at distal regulatory regions in mammals driven by TF binding motifs.

bioinformatics↗
bioRxiv2024

Unraveling Alternative Splicing Regulations in Seriola dumerili Underlying Their Responses to Ambient Salinity Oscillations

Alternative splicing (AS) is an important post-transcriptional mechanism for adaptation of fish to environmental stress. Here, we performed a genome-wide investigation to explore the biological importance of AS dynamics in greater amberjack (Seriola dumerili), an economical marine teleost species, in response to hypo- (10 ppt) and hyper-salinity (40 ppt) stresses. The results revealed high level of differential splicing in both gills and kidney upon the exposure to undesired salinity regimes. In gills, genes involved in energy metabolism, stimulus response and epithelial cell differentiation were differentially spliced in response to the deviation of normal water salinity, while sodium ion transport, erythrocyte homeostasis and cellular amide metabolism were enhanced in kidney to combat the adverse impacts of salinity changes. More importantly, the majority of the differentially spliced genes were not differentially expressed, and AS was found to regulate different biological processes from differential gene expression, indicative of the functionally nonredundant role of AS in modulating salinity acclimation in greater amberjack. Together, our study highlights the important contribution of post-transcriptional mechanisms to the adaptation of fish to ambient salinity fluctuations, and provides a theoretical guidance to the conservation of marine fishery resources under the increasingly extreme environmental challenges.

bioinformatics↗
bioRxiv2024

Genomic signatures of the evolution of loss of egg yolk in parasitoid wasps

Trait regression and loss have occurred repeatedly in numerous lineages throughout evolutionary history in response to changing environments. In parasitoid wasps, a mega-diverse group of hymenopteran insects, loss or reduction of yolk in the egg has been reported in many species. This phenotypic change likely evolved as a response to the shift from ectoparasitism to endoparasitism. However, the genetic basis of this trait and the impact of its loss on genome evolution remain poorly understood. Here, we performed a comparative genomic analysis of 64 hymenopteran insects. The conserved insect yolk protein gene vitellogenin (Vg) underwent five independent loss events in four families, involving 23 of the analyzed endoparasitoid species. Whole-genome alignment suggested that Vg loss occurred during genome rearrangement events. Analysis of Vg receptor gene (VgR) loss, selection, and structural variation in lineages lacking Vg demonstrated functional biases in the patterns of gene loss. The ectoparasitism to endoparasitism transition did not appear to be the primary driver of Vg loss or the subsequent VgR evolution. A number of parallel and convergent genomic changes were observed between Vg-loss lineages, including gene family evolution and selection of genes related to transport, development, and metabolism. These changes may have facilitated embryonic development without the yolk in these lineages. Together, these findings reveal the genomic basis underlying a unique trait loss in parasitoid wasps. More broadly, this study enhances our understanding of yolk loss evolution outside the class Mammalia, highlighting a potential evolutionary trend arising from the availability of an alternative nutrient source for embryonic development.

evolutionary biology↗
bioRxiv2023

Dispersal and evolution of the invasive snail Pomacea canaliculata, an intermediate host of Angiostrongylus cantonensis: A field study around its initial introduction site in China

Eosinophilic meningitis caused by Angiostrongylus cantonensis is an emerging infectious disease in mainland China. The invasive snail (Pomacea canaliculata) is one of the main intermediate host of the zoonotic nematode. To gain insights into the spatial distribution, phenotypic variation and dispersal pattern of the snail populations. A field survey was conducted using modified nested sampling and selecting ditches as the main habitats. Snail distribution and abundance were displayed with predictions based on an inverse distance-weighted model. Correlation and spatial autocorrelation were analyzed among the measured parameters. The findings of this study demonstrate the well-established and abundant presence of P. canaliculata in ditches. A total of 564 sampling sites were assessed, with measurements taken on 10,145 snails having shell heights greater than 1.5 cm. The average population density was determined to be 20.31 {+/-} 11.55 snails per square meter. Morphological analysis revealed an average snail body mass of 8.93 {+/-} 3.95 g, shell height of 3.38 {+/-} 0.66 cm, a sex ratio of 2.39 {+/-} 1.01 female to male, and a shell color ratio of 9.34 {+/-} 7.52 brown to yellow. Among these measurements, body mass was found to be significantly correlated with shell height (r = 0.88, p < 0.01) and shell color (r = 0.55, p < 0.05). Spatial-correlation analysis proved that shell height was the only factor significantly spatially autocorrelated (MI = 0.27, z = 2.20, p = 0.03), although weak autocorrelations appeared in body mass and shell color. The observed geographic variations of phenotypic traits indicated a human-mediated evolving process of the snail populations and a potential complexity of the parasite transmission system. These findings may enhance the assessment of the epidemiological health risk posed by angiostrongyliasis and inform strategies for controlling infectious snails.

ecology↗
bioRxiv2023

A highly contiguous hexaploid wheat genome assembly facilitates analysis of 1RS translocation and mining of a new adult plant resistance locus to yellow rust disease

High-quality genome information is essential for efficiently deciphering and improving crop traits. Here we report a highly contiguous hexaploid genome assembly for the key wheat breeding parent Zhou8425B, an elite 1BL/1RS translocation line with durable adult plant resistance (APR) against rust diseases. By using HiFi and Hi-C sequencing reads, a 14.75 Gb genome assembly, with contig N50 and scaffold N50 values reaching 70.94 and 735.11 Mb, respectively, was developed. Comparison with 16 previously sequenced common wheat cultivars revealed unique chromosomal structural features in Zhou8425B. Notably, the 1RS translocation in Zhou8425B was apparently longer and carried more genes encoding AP2/ERF-ERF and B3 transcription factors relative to its counterpart in several genome sequenced 1BL/1RS varieties and rye lines. Aided by Zhou8425B genome assembly, a new APR locus (i.e., YrZH3B) against yellow rust (YR) disease was finely mapped to a 1 - 2 Mb interval on chromosome 3BS. Analysis with 212 Zhou8425B derivative varieties showed that pyramiding of YrZH3B with two other APR loci (YrZH22 and YrZH84) significantly decreased YR severity and enhanced grain yield, with triple combination (YrZH3B/YrZH22/YrZH84) having the highest effects. Our data demonstrate the high value of Zhou8425B assembly in studying wheat genome and agronomically important genes.

genomics↗
bioRxiv2023

Mechanism of action of Buqing Granule against Diabetic retinopathy based on network pharmacology and animal experiments

ObjectiveFor this study, network pharmacology and animal experiments were used together to get a better idea of how BQKL works at the molecular level to treat DR. MethodsIn this study, we obtained the relevant action target information of BQKL from the TCMSP and also combined the GeneCards, OMIM, TTD, and PharmGKB databases with the GEO database to obtain the relevant target information of DR. The intersection of these targets was determined using a Venn diagram to identify the target of action for the treatment of DR with BQKL. The target proteins of BQKL for DR were then uploaded to the String database. The resultant data were imported into Cytoscape 3.9.0 to construct PPI networks and identify key targets of action. The DAVID database was used to do a GO and KEGG pathway enrichment analysis of target genes for treating DR with BQKL. Molecular docking was performed to validate the core action targets with the core compounds of BQKL. In addition, we induced DR production in rats by a high-fat, high-sugar diet and intraperitoneal injection of STZ and validated the results obtained from the network pharmacological analysis by changes in body weight and blood glucose, serum levels of biochemical markers, HE staining, immunohistochemistry, qRT-PCR, and Western blot experiments in rats. ResultsIn this study, quercetin, kaempferol, {beta}-sitosterol, lignanserin, and stigmasterol were identified as the key components, TP53, AKT1, JUN, CASPASE3, MAPK3, and MAPK1 as the key targets, and PI3K-Akt, AGE-RAGE, and MAPK signaling pathways as the main pathways involved. The results of animal experiments showed that BQKL could not only effectively reduce the degree of blood glucose, blood lipids, and oxidative damage in diabetic rats but also slow down the development process of DR. At the same time, it can significantly up-regulate the expression of AKT1, MAPK1, and MAPK3 and down-regulate the expression of CASPASE3, c-JUN, and TP53 in retinal tissue. ConclusionBQKL ameliorates oxidative stress, apoptosis, and inflammation due to hyperglycemia-related stress by regulating key targets of CASPASE3, AKT1, c-JUN, TP53, MAPK1, and MAPK3, thereby delaying the onset and progression of DR.

molecular biology↗
bioRxiv2023

Humoral immune responses to the monovalent XBB.1.5-adapted BNT162b2 mRNA booster

Continued SARS-CoV-2 evolution and immune escape necessitated the development of updated vaccines, and a monovalent vaccine incorporating the XBB.1.5 variant spike protein is currently being rolled out. Amidst the emergence of the highly mutated BA.2.86 lineage and against the backdrop of pronounced immune imprinting, it is important to characterize the antibody responses following vaccination, particularly in the elderly. Here, we show that the monovalent XBB.1.5-adapted booster vaccination substantially enhanced both binding and neutralising antibody responses against a panel of variants, including BA.2.86, in an older population with four or more previous vaccine doses. Furthermore, neutralizing antibody titers to XBB.1.5 and BA.2.86 were boosted more strongly than titers to historical variants were. Our findings thereby suggest increased vaccine induced protection against both antigenically matched variants, as well as the more distant BA.2.86 variant, and support current vaccine policies recommending a monovalent XBB.1.5 booster dose to older individuals.

immunology↗
bioRxiv2023

SntB triggers the antioxidant pathways to regulate development and aflatoxin biosynthesis in Aspergillus flavus

The epigenetic reader SntB was identified as an important transcriptional regulator of growth, development, and secondary metabolite synthesis in Aspergillus flavus. However, the underlying molecular mechanism is still unclear. In this study, sntB gene deletion ({Delta}sntB), complementary (Com-sntB), and HA tag fused to sntB (sntB-HA) strains were constructed by using the homologous recombination method, respectively. Our results revealed that deletion of sntB inhibited the processes of mycelia growth, conidial production, sclerotia formation, aflatoxin synthesis, and ability to colonize host, and the defective phenotype of knockout strain {Delta}sntB could be restored in its complementary strain Com-sntB. Chromatin immunoprecipitation sequencing (ChIP-seq) of sntB-HA and WT, and RNA sequencing (RNA-seq) of {Delta}sntB and WT strains revealed that SntB played key roles in oxidative stress response of A. flavus. The function of catC gene (encode a catalase) was further analyzed based on the integration results of ChIP-seq and RNA-seq. In {Delta}sntB strain, the relative expression level of catC was significantly higher than in WT strain, while a secretory lipase encoding gene (G4B84_008359) was down-regulated. Under the stress of oxidant menadione sodium bisulfite (MSB), the deletion of sntB obvious down-regulated the expression level of catC. After deletion of catC gene, the mycelia growth, conidial production, and sclerotia formation were inhibited, while ROS level and aflatoxin production were increased compared to the WT strain. Results also showed that the inhibition rate of MSB to {Delta}catC strain was significantly lower than that of WT group and AFB1 yield of the {Delta}catC strain was significantly decreased than that of WT strain under the stress of MSB. Our study revealed the potential machinery that SntB regulated fungal morphogenesis, mycotoxin anabolism, and fungal virulence through the axle of from SntB to fungal virulence and mycotoxin bio-synthesis, i.e. H3K36me3 modification-SntB-Peroxisomes-Lipid hydrolysis-fungal virulence and mycotoxin bio-synthesis. The results of this study shed light into the SntB mediated transcript regulation pathways of fungal mycotoxin anabolism and virulence, which provided potential strategy for control the contamination of A. flavus and its aflatoxins.

pharmacology and toxicology↗
bioRxiv2023

YAP1 status defines two intrinsic subtypes of LCNEC with distinct molecular features and therapeutic vulnerabilities

Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like the more common small cell lung cancer (SCLC), is associated with an absence of druggable oncogenic driver mutations, a clinically aggressive disease course, and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies which are, instead, often adapted from SCLC and non-small cell lung cancer (NSCLC) approaches. While there have been some efforts to describe the molecular landscape of LCNEC, to date there are few links between distinct biologic phenotypes of LCNEC and therapeutic vulnerabilities. Here, we demonstrate that the presence or absence of the transcription factor YAP1 distinguishes two roughly equal subsets of LCNEC. The YAP1-high subset is mesenchymal and inflamed and characterized, alongside TP53 mutations, by co-occurring alterations in CDKN2A/B and SMARCA4. Therapeutically, the YAP1-high subset demonstrates vulnerability to MEK and AXL targeting strategies, including a novel preclinical AXL CAR-T cell, as well as predicted vulnerability to SMARCA2 degraders and CDK4/6 inhibitors. Meanwhile, the YAP1-low subset is epithelial and immune-cold and more commonly features TP53 and RB1 co-mutations, similar to those observed in pure SCLC. Notably, the YAP1-low subset is also characterized by expression of SCLC subtype-defining transcription factors -especially ASCL1 and NEUROD1 - and, as expected given its transcriptional similarities to SCLC, exhibits putative vulnerabilities reminiscent of SCLC, including Delta-like ligand 3 (DLL3) and CD56 targeting, as with novel preclinical DLL3 and CD56 CAR T-cells, and DNA damage repair (DDR) inhibition. These findings highlight the potential for YAP1 to guide the first personalized treatment strategies for LCNEC.

cancer biology↗
bioRxiv2023

Temporal recording of mammalian development and precancer

Key to understanding many biological phenomena is knowing the temporal ordering of cellular events, which often require continuous direct observations [1, 2]. An alternative solution involves the utilization of irreversible genetic changes, such as naturally occurring mutations, to create indelible markers that enables retrospective temporal ordering [3-8]. Using NSC-seq, a newly designed and validated multi-purpose single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo, while incorporating assigned cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during murine embryonic development and identified new intestinal epithelial progenitor states by their unique genetic histories. NSC-seq analysis of murine adenomas and single-cell multi-omic profiling of human precancers as part of the Human Tumor Atlas Network (HTAN), including 116 scRNA-seq datasets and clonal analysis of 418 human polyps, demonstrated the occurrence of polyancestral initiation in 15-30% of colonic precancers, revealing their origins from multiple normal founders. Thus, our multimodal framework augments existing single-cell analyses and lays the foundation for in vivo multimodal recording, enabling the tracking of lineage and temporal events during development and tumorigenesis.

developmental biology↗
bioRxiv2023

STAIG: Spatial Transcriptomics Analysis via Image-Aided Graph Contrastive Learning for Domain Exploration and Alignment-Free Integration

Spatial transcriptomics is an essential application for investigating cellular structures and interactions and requires multimodal information to precisely study spatial domains. Here, we propose STAIG, a novel deep-learning model that integrates gene expression, spatial coordinates, and histological images using graph-contrastive learning coupled with high-performance feature extraction. STAIG can integrate tissue slices without prealignment and remove batch effects. Moreover, it was designed to accept data acquired from various platforms, with or without histological images. By performing extensive benchmarks, we demonstrated the capability of STAIG to recognize spatial regions with high precision and uncover new insights into tumor microenvironments, highlighting its promising potential in deciphering spatial biological intricates.

bioinformatics↗
bioRxiv2023

Single-cell transcriptomics reveals heterogenous thymic dendritic cell subsets with distinct functions and requirements for thymocyte-regulated crosstalk

Dendritic cells are essential for establishing thymic central tolerance; however, mechanisms supporting their homeostasis and activation remain unresolved. Through single-cell transcriptomics and functional assays, we identify seven thymic conventional dendritic cell (cDC) subsets and discriminate their abilities to present self-antigens and induce regulatory T cells. Mice blocked at different stages of T-cell development reveal that CD4+ single-positive (SP) and CD8SP thymocytes differentially support homeostasis and activation of cDC1s versus cDC2s/plasmacytoid DCs (pDCs), respectively. CD8SPs indirectly support pDC survival and cDC2 thymic immigration, and they induce interferon signaling in cDCs, partly by promoting Type III interferon expression by medullary thymic epithelial cells (mTECs). In contrast, CD4SPs undergo cognate interactions with cDCs, inducing CD40 signaling required for activation of cDC1s. Activated cDC1s make non-redundant contributions to central tolerance. Altogether, this study comprehensively identifies distinct thymic DC subsets and elucidates requirements for crosstalk with thymocyte subsets that support their homeostasis, activation, and function.

immunology↗
bioRxiv2023

Melon: metagenomic long-read-based taxonomic identification and quantification using marker genes

Long-read sequencing holds great potential for characterizing complex microbial communities, yet taxonomic profiling tools designed specifically for long reads remain lacking. Here we introduce Melon, a novel marker-based taxonomic profiler that capitalizes on the unique attributes of long reads. Melon employs a two-stage classification scheme to reduce computational time and is equipped with an expectation-maximization-based post-correction module to handle ambiguous reads. Melon achieves superior performance compared to other existing tools in both mock and simulated samples. Using wastewater metagenomic samples, we demonstrate the applicability of Melon by showing it is capable in providing reliable estimates of overall genome copies, and species-level taxonomic profiles.

bioinformatics↗
bioRxiv2023

Best Paper awards lack transparency, inclusivity, and support for Open Science

Awards can propel academic careers. They also reflect the culture and values of the scientific community. But, do awards incentivise greater transparency, diversity, and openness in science? Our cross-disciplinary survey of 222 awards for the "best" journal articles across all 27 SCImago subject areas revealed that journals and learned societies administering such awards generally publish little detail on their procedures and criteria. Award descriptions are brief, rarely including contact details or information on the nominations pool. Nominations of underrepresented groups are not explicitly encouraged and concepts that align with Open Science are almost absent from the assessment criteria. Instead, such awards increasingly rely on article-level impact metrics. USA-affiliated researchers dominated the winners pool (48%), while researchers from the Global South and developing countries were uncommon (11%). Sixty-one-percent of individual winners were men. Thus, Best Paper awards miss the global calls for greater transparency and equitable access to academic recognition.

scientific communication and education↗
bioRxiv2023

Regulation of blood pressure by METTL3 via RUNX1b-eNOS pathway in endothelial cells

BackgroundEndothelial cells regulate vascular tone to control the blood pressure (BP) by producing both relaxing and contracting factors. Previously, we identified methyltransferase-like 3 (METTL3), a primary N6-methyladenosine (m6A) methyltransferase, as a key player in alleviating endothelial atherogenic progression. However, its involvement in BP regulation remains unclear. MethodsTo evaluate the role of METTL3 in vivo, mice with EC specific METTL3 deficiency (EC-Mettl3KO) with or without Ang II infusion were used to create a hypertensive model. Functional and MeRIP sequencing analysis were performed to explore the mechanism of METTL3-mediated hypertension. ResultsWe observed a reduction in endothelial METTL3 activity by Ang II in vitro and in vivo. Endothelial METTL3-deficient mice exhibited higher BP than controls, both before and after Ang II infusion. Through m6A sequencing and functional analysis, we identified m6A modification of various RUNX1 monomers resulted in endothelial dysfunction. Mutations in the 3'UTR region of RUNX1b abolished its luciferase reporter activity, and enhanced eNOS promoter luciferase reporter activity with or without METTL3 overexpression. Overexpression of METTL3 by adeno-associated virus reduced Ang II-induced BP elevation. ConclusionThis study reveals that METTL3 alleviates hypertension through m6A-dependent stabilization of RUNX1b mRNA, leading to upregulation of eNOS, thus underscoring the pivotal role of RNA transcriptomics in the regulation of hypertension.

cell biology↗