Biology subjects

Bao, W.

Publications and source records attributed to Bao, W..

13 recordsLinked to original sources

bioRxiv2026

Multidimensional telomere diversity and inheritance at individual and population scales

Variation in telomere length, sequence composition and epigenetic state influences genome stability, aging and disease, yet its high-resolution characterization across species remains challenging. Here we present TeloXplorer, a computational framework for long-read data that jointly profiles telomere length, telomere variant repeats (TVRs) and DNA methylation at chromosome-end and haplotype resolution. Across simulated and empirical datasets from humans, Arabidopsis and yeast, TeloXplorer accurately resolved chromosome-end-specific telomere features and highlighted the importance of sample-matched, haplotype-resolved assemblies. Analysis of two human trios revealed concordant relative telomere-length profiles, predominantly Mendelian transmission of TVR haplotypes and family-conserved methylation patterns. Across 232 individuals from the Human Pangenome Reference Consortium, chromosome-end telomere-length rankings were conserved across five continental and 28 population groups. High-accuracy reads from 73 individuals further revealed elevated TVR haplotype diversity among individuals of African ancestry, together with extensive interchromosomal sharing and duplication of TVR architectures. Subtelomeric TAR1 elements were strongly associated with local DNA methylation and telomere motif diversity. Together, these analyses provide a multidimensional atlas of telomere diversity across species, chromosome ends, haplotypes and populations, revealing how telomere architecture varies and is inherited across biological scales.

genomics↗

bioRxiv2026

MintCNA: A Unified Framework for Integrative Copy Number Profiling with Single-Cell Multi-Omics Data

Chromosomal copy number alterations (CNAs) are key drivers of tumor evolution, disease progression and therapeutic resistance, and the identification of them is an important step to delineate tumor clonal structure. However, accurately resolving CNA landscapes from single-cell data remains challenging. Most existing tools analyze one omics layer at a time and are susceptible to assay-specific noises, limiting their ability to recover shared or modality-specific CNAs. Recent single-cell multi-omics techniques enable joint sequencing of multiple molecular layers in the same cells, yet in silico methods that fully exploit such complementary multi-modal data for CNA analysis are still missing. Here we present a single-cell multi-omics integration framework, MintCNA, a unified framework for CNA detection from paired multi-omics data. MintCNA integrates traditional statistical modeling with embedded deep learning structure to enhance CNA profiling across multi-omics. We use an attention-guided convolutional autoencoder for data denoising and perform multivariate change-point detection utilizing a sliding-window screening and ranking procedure. Missingness-adjusted CUSUM statistics are constructed which jointly aggregate omics features by a data-adaptive projection to detect genome-wide chromosomal breakpoints. Across various simulations and applications to a colorectal cancer multi-omics dataset, MintCNA consistently outperforms existing single-omics CNA callers in detection accuracy. MintCNA provides a single-cell CNA tool that integrates paired scDNA-seq and scRNA-seq, supporting the study of intra-tumor heterogeneity and tumor evolution.

bioinformatics↗

bioRxiv2026

CN-RNN: a Deep Learning Framework for Copy Number Variation Detection with Exome Sequencing Data

Copy number variations (CNVs) are major structural genomic variants that contribute to a wide range of human diseases. Accurate detection of CNVs from whole-exome sequencing (WES) data has been a long-sought goal for clinical and population genetic studies. Despite recent progress, existing WES-based CNV callers still suffer from high false-positive rates and reduced recall for short-length variants, and current deep learning methods have not fully used complementary information in region-level genomic features. Here we present CN-RNN, a deep learning-based CNV caller for WES data. The model combines a bidirectional long short-term memory (BiLSTM) branch that captures local depth changes and contextual dependencies across neighboring exons with a parallel multi-layer perceptron (MLP) branch that encodes region-level metadata such as GC content, mappability, and exon length. CN-RNN was trained on the Autism Sequencing Consortium (ASC) parent-child trio cohort using the Mendelian rule of inheritance to ensure high-quality training sets. It was evaluated across three independent datasets, in which we showed that CN-RNN outperformed existing WES-based CNV callers and deep learning methods. CN-RNN offers a scalable, accurate tool for CNV profiling in WES-based studies and supports broader application of CNV analysis in population and clinical research. CN-RNN is available at https://github.com/FeifeiXiao-lab/CN-RNN.

genetics↗

bioRxiv2026

Generation of Genetically Identical Mammalian Oocytes from Parthenogenetic Double-Haploid Embryonic Stem Cells

Generating genetically identical mammalian oocytes is challenging due to stochastic meiotic recombination. Here, we established parthenogenetic double-haploid embryonic stem cells (PG-DhESCs) possessing complete homozygosity. By employing blastocyst complementation in Prdm14-deficient embryos, we generated chimeric females that produced oocytes derived exclusively from these donor cells. Fertilization of these oocytes yielded viable, fertile, maternally semi-cloned (MSC) mice of both sexes. Although DNA methylation was largely restored during gametogenesis, subtle epigenetic defects correlated with increased body weight in MSC offspring. This study establishes a robust platform combining PG-DhESCs with blastocyst complementation to generate isogenic mammalian oocytes, overcoming traditional limitations in mammalian cloning.

developmental biology↗

bioRxiv2026

Efficient Reprogramming of the Epiblast Enables the Generation of Cloned Mice

Somatic cell nuclear transfer (SCNT) can generate viable mammals despite pervasive epigenetic abnormalities in cloned embryos, yet the mechanism underlying this paradox remains unclear. Here we show, using single-cell transcriptomics, that efficient reprogramming occurs exclusively in the epiblast (EPI), but the not primitive endoderm (PrE) of late mouse SCNT blastocysts. Integrating this with previous findings of trophectoderm (TE) aberration, we propose the EPI as the sole effectively reprogrammed lineage. By innovatively employing a Lego-like multi-lineage embryonic aggregation approach, where the extra-embryonic lineages were replaced with fertilization-derived counterparts, we demonstrated that SCNT-derived EPI inherently possesses full-term developmental potential nearly identical to that of fertilized EPI (20.5% vs. 21.8% birth rate), functionally confirming its effective reprogramming. Our study uncovers a lineage-specific asymmetric reprogramming mode where the EPI specifically achieves effective reprogramming, thereby constituting the deterministic basis for cloned animal generation. This work also provides a versatile strategy for investigating lineage potency and function.

developmental biology↗

bioRxiv2026

Efficient derivation and transcriptional characterization of mouse extra-embryonic endoderm stem cell lines generated by somatic cell nuclear transfer

Somatic cell nuclear transfer (SCNT) holds great promise for regenerative medicine and agriculture, but its application is severely hampered by low efficiency, primarily attributable to aberrant epigenetic reprogramming. Although embryonic stem cells (ESCs) and trophoblast stem cells (TSCs) have been successfully derived from cloned embryos, an in vitro counterpart of the primitive endoderm (PrE) lineage has remained unavailable. To address this gap, this study reports the first successful establishment of extra-embryonic endoderm stem cell lines (XENs) from mouse SCNT-derived blastocysts (NT-XENs). Under conventional culture conditions, NT-XENs were generated from hybrid B6D2F1 blastocysts at a high efficiency of 55%, comparable to that of fertilization-derived XEN lines (FD-XENs, 50%), whereas derivation from inbred C57BL/6J SCNT-derived blastocysts was markedly lower (12.5%). Immunofluorescence and NanoString multiplex gene expression profiling confirmed that NT-XENs robustly expressed specific marker genes for PrE/XENs (e.g., Gata4, Gata6, Sox17), while exhibiting negligible or absent expression of pluripotency and trophoblast markers. Based on NanoString assay data, NT-XENs and FD-XENs shared highly similar global gene expression patterns, yet also exhibited some nonnegligible differences, exemplified by the differentially expressed genes (DEGs) Pecam1, Gtl2, Thbd and Xlr3b, which may suggest that the NT-XENs resided in a more differentiated state (potentially biased toward parietal endoderm (PE)) and retained SCNT-specific epigenetic imprinting errors, including aberrant X-chromosome inactivation and dysregulation of imprinted domains. In summary, this study successfully establishes NT-XEN cell lines, providing a valuable in vitro model for investigating the reprogramming scenarios of PrE lineage in SCNT and offering novel insights into the mechanisms underlying developmental failure of cloned embryos.

developmental biology↗

bioRxiv2025

A phenotypic screen identified KEAP1-kelch domain blockade as a mechanism to restore cardiac function in the setting of chronic severe hemodynamic stress

A bespoke gene expression (GE) based small molecule screen in human induced pluripotent stem cell derived cardiomyocytes (iPSC-CM) was conducted with the aim of identifying drug targets and pathways with the potential to reverse heart failure (HF) pathologic GE and the resultant decompensated HF phenotype. The screen utilized a composite human-murine HF gene expression signature, a target annotated compound set, and a HF gene expression reversal scoring algorithm to identify small molecules and their associated targets as potential modulators of HF pathologic GE. Following hit triage, a lead optimization program, and compound characterization in preclinical rodent models of HF and human iPSC-CM contractility assays, KEAP1 kelch domain blockers were identified as potent efficacious agents in the restoration of contractile function in the setting of oxidant stress and pressure overload induced cardiac dysfunction.

molecular biology↗

bioRxiv2025

A scalable computational framework for predicting gene expression from candidate cis-regulatory elements

Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has been a long-standing unsolved problem in molecular biology, and the dynamics of CREs in different cell types make this problem more challenging. To address this challenge, we propose a scalable computational framework for predicting gene expression (ScPGE) from discrete candidate CREs (cCREs). ScPGE assembles DNA sequences, transcription factor (TF) binding scores, and epigenomic tracks from discrete cCREs into 3-dimensional tensors, and then models the relationships between cCREs and genes by combining convolutional neural network with transformer. Compared with current state-of-the-art models, ScPGE exhibits superior performance in predicting gene expression and yields higher accuracy in identifying active enhancer-gene interactions through attention mechanisms. By comprehensively analyzing ScPGEs predictions, we find a pattern in true positives (TPs) that the regulatory effect of cCREs on genes decreases with distance. Inspired by the pattern, we design two methods to enhance the ability to capture distal cCRE-gene interactions by incorporating chromatin loops into the ScPGE model. Furthermore, ScPGE accurately discovers some crucial TF motifs within prioritized cCREs and reveals the different regulatory types of these cCREs.

bioinformatics↗

bioRxiv2024

Unraveling transposable element-mediated regulatory landscape in diverse human immune cells

Transposable elements (TEs) are key contributors to genetic novelty. Despite increasing evidence of their importance, their roles in shaping the regulatory landscape of diverse immune cell populations remain largely unclear. Using single-cell multiome data from human peripheral blood mononuclear cells, we annotated the cell-specific cis-regulatory elements for major immune cell populations and identified a highly cell-specific signature of the overrepresented TE families. Focusing on monocytes that bear fast-evolving transcriptomes, we found that high proportions of their enhancers are TE-derived and bound by multiple pioneer transcription factors. Among them, we confirmed that the core myeloid regulator SPI1 can bind and regulate hundreds of TE-derived enhancers, which further affect the expression of adjacent immune genes. Additionally, interspecies comparison reveals that non-conserved monocyte enhancers are frequently generated by lineage-specific TE insertions, and correlate with the evolved gene expression between human and mouse. Overall, our study supports the importance of TEs in shaping the regulatory landscape of diverse immune cell populations.

genomics↗

bioRxiv2023

Senolytics enhance longevity in Caenorhabditis elegans by altering betaine metabolism

Aging triggers physiological changes in organisms, which are tightly interlinked to metabolic changes. Senolytics are being developed. However, metabolic responses to natural senescence and the molecular intricacies of how senolytics confer antiaging benefits remain enigmatic. We performed a metabolomics study on natural senescence based on the C.elegans model. The results suggest that age-dependent metabolic changes of natural aging occur in C. elegans. Betaine was identified as a crucial metabolite in the natural aging process. To explore the common pathway coregulated by different senolytics prolonging nematodes lifespan, we fed nematodes three antiaging drugs metformin, quercetin, and minocycline. Our data show that the coregulated metabolic pathways associated with aging include the forkhead box transcription factor (FoxO), p38-mitogen-activated protein kinase (MAPK) and the target of rapamycin (mTOR) signaling pathway, etc. Three antiaging drugs raised betaine levels, consistent with high betaine levels in the younger nematode. Supplement of betaine prolonged the lifespan of nematodes via stimulating autophagy and improving antioxidant capacity. Altogether, our data support proof-of-concept evidence that betaine at appropriate concentrations can extend the lifespan of nematodes.

biochemistry↗

bioRxiv2022

NSC-derived exosomes enhance therapeutic effects of NSC transplantation on cerebral ischemia in mice

AbstractTransplantation of neural stem cells (NSCs) has been proved to promote functional rehabilitation of brain lesions including ischemic stroke. However, the therapeutic effects of NSC transplantation is limited by the low survival and differentiation rates of NSCs due to the harsh environment in the brain after ischemic stroke. Here, we employed NSCs derived from human induced pluripotent stem cells (iPSCs) together with exosomes extracted from NSCs to treat cerebral ischemia induced by middle cerebral artery occlusion/reperfusion (MCAO/R) in mice. The results showed that NSC-derived exosomes significantly reduced the inflammatory response, alleviated oxidative stress after NSC transplantation, and facilitated NSCs differentiation in vivo. The combination of NSCs with exosomes ameliorated the injury of brain tissue including cerebral infarct, neuronal death and glial scarring, and promoted the motor function recovery. To explore the underlying mechanisms, we analyzed the miRNA profiles of NSC-derived exosomes and the potential downstream genes. Our study provided the rationale for the clinical application of NSC-derived exosomes as a supportive adjuvant for NSC transplantation after stroke.

neuroscience↗

bioRxiv2021

Spatiotemporal mapping of gene expression landscapes and developmental trajectories during zebrafish embryogenesis

Vertebrate embryogenesis is a remarkably dynamic process during which numerous cell types of different lineages generate, change, or disappear within a short period of time. A major challenge in understanding this process is the lack of topographical transcriptomic information that can help correlate microenvironmental cues within the hierarchy of cell fate decisions. Here, we employed Stereo-seq, a high-definition spatially resolved transcriptomic technology, to dissect the spatiotemporal dynamics of gene expression and regulatory networks in the developing zebrafish embryos. We profiled 91 embryo sections covering six critical time points during the first 24 hours of development, obtaining a total of 139,391 spots at cellular size ([~]100 m2) with spatial coordinates. Meanwhile, we identified spatial modules and co-varying genes for specific tissue organizations. By performing the integrative analysis of the Stereo-seq and scRNA-seq data from each time point, we reconstructed the spatially resolved developmental trajectories of cell fate transitions and molecular changes during zebrafish embryogenesis. We further investigated the spatial distribution of ligand-receptor pairs for major signaling pathways and identified novel interactions that potentially crosstalk with the Notch signaling pathway during zebrafish development. Our study constitutes a fundamental reference for further studies aiming to understand vertebrate development.

developmental biology↗

bioRxiv2017

The Correlation between MicroRNA-199a and White Adipose Tissue in C57/BL6J Mice with High-Fat Diet

Understanding is emerging about microRNAs as mediators in the regulation of white adipose tissue (WAT) and obesity. The expression level of miR-199a in mice was investigated to test our hypothesis: miR-199a might be related to fat accumulation and try to find its target mRNA, which perhaps could propose strategies with a therapeutic potential affecting the fat storage. C57/BL6J mice were randomly assigned to either a control group or an obesity model group (n=10 in both groups). Control mice were fed a normal diet (fat: 10 kcal %) ad libitum for 12 weeks, and model mice were fed a high-fat diet (fat: 30 kcal %) ad libitum for 12 weeks to induce obesity. At the end of the experiment, body fat mass and the free fatty acids (FFAs) and triglycerides (TGs) in WAT were tested. Fat cell size was measured by hematoxylin-eosin (H&E) staining method. The fat mass of the model group was higher than that of the control group (P<0.05). In addition, the concentrations of the FFAs and TGs were higher (P<0.05) and the adipocyte count was lower (P<0.05) in the model group. We tested the expression levels of miR-199a and key adipogenic transcription factors, including peroxisome proliferator activated receptor gamma2 (PPAR{gamma}2), CCAAT/enhancer binding proteins alpha (C/EBP), adipocyte fatty acid-binding protein (aP2), and sterol regulatory element binding protein-1c (SREBP-1c). Up-regulated expression of miR-199a was observed in model group. Increased levels of miR-199a was accompanied by high expression levels of SREBP-1c. We found that the 3-UTR of SREBP-1c mRNA has a predicted binding site for miR-199a. Based on the current discoveries, we suggest that miR-199a may exert its action by binding to its target mRNA and cooperate with SREBP-1c to induce obesity. Therefore, if the predicted binding site is confirmed by further research, miR-199a may have therapeutic potential for obesity.\n\nAbbreviationsWAT, white adipose tissue; PPAR{gamma}2, peroxisome proliferator, activated receptor {gamma}2; C/EBP CCAAT/enhancer binding proteins ; aP2, adipocyte fatty acid-binding protein; SREBP-1c, sterol regulatory element binding protein-1c; HFD, high-fat diet.

molecular biology↗