Biology subjects

liu, z.

Publications and source records attributed to liu, z..

7 recordsLinked to original sources

bioRxiv2025

Protenix - Advancing Structure Prediction Through a Comprehensive AlphaFold3 Reproduction

In this technical report, we present Protenix, a comprehensive reproduction of AlphaFold3 (AF3), aimed at advancing the field of biomolecular structure prediction. Protenix tackles the challenges of predicting complex interactions involving proteins, ligands, and nucleic acids, while enhancing accessibility and reproducibility. Across diverse benchmarks, including PoseBusters V2, low-homology PDB sets, and CASP15 RNA, Protenix achieves state-of-the-art performance in protein-ligand, protein-protein, and protein-nucleic acid predictions. We also address limitations, such as potential memorization effects, and outline future directions for improvement. By open-sourcing Protenix, we aim to democratize advanced structure prediction tools and accelerate interdisciplinary research in computational biology and drug discovery.

bioinformatics↗

bioRxiv2024

Nanoscale Optical Imaging, Reconstruction, and Spatial Analysis of Whole Mouse Glomeruli

Renal glomeruli have traditionally been studied by micrometer-scale optical microscopy to interrogate overall physiology or molecular distributions and by nanoscale electron microscopy to interrogate the ultrastructure of thin sections. While these approaches are powerful, they have been limited in their ability to obtain detailed views of the glomeruli as holistic 3D functional units. To fill this knowledge gap, we have developed a novel pipeline for imaging, reconstructing, and analyzing whole mouse glomeruli at 100 nm resolution using super-resolution fluorescence microscopy. This pipeline integrates both manual and machine learning approaches to annotate and analyze glomerular structures. Using this method, we created 18 detailed glomerulus models, from a range of healthy, aged, and model diseased mice, that outline all major structures and cell types. These models have been made publicly accessible in an online repository, providing a valuable resource for further studies. Our results also uncovered a diverse set of novel phenotypes including nuclear enlargement in all glomerular cell types in aging and disease, as well as an aging-related pattern of regional thickening of the Bowmans capsule basement membrane near the tubular-glomerular junction.

physiology↗

bioRxiv2024

Interleaved intersectional strategy enables genetic lineage tracing with enhanced specificity

BACKGROUNDDual recombinases have been increasingly employed for enhanced precision in genetic targeting. A recent study utilizing an intersectional genetic approach through dual recombinases (Dre + CreER) has revealed that endocardium-derived fibroblasts (EndoFbs) play a pivotal role in cardiac fibrosis after pressure overload. However, this intersectional strategy has limitations, primarily due to ectopic genetic labeling of non-target cells within the adult heart by the constitutively active Dre recombinase. METHODSTo address this issue, we have developed an advanced, interleaved and intersectional reporter (IIR) strategy in this study. This IIR strategy leverages an inducible CreER to prevent inadvertent Dre-rox recombination during development or disease progression by designing an interleaved reporter to allow for more specific tracing of EndoFbs. Moreover, our IIR system also incorporates Diphtheria Toxin Receptor (DTR) in targeted cells, enabling functional characterization of these cells after genetic ablation. RESULTSEndoFbs were regionally distributed in the heart during homeostasis and proliferated preferentially in response to pressure overload, leading to cardiac fibrosis in defined regions. The IIR strategy enables the tracing of EndoFbs with a more prominent regional pattern and facilitates genetic ablation of EndoFbs through DT injection. In addition, we have applied this IIR strategy to specifically target fibroblasts derived from the epicardium (EpiFbs). Genetic lineage tracing of EpiFb reveals that their distribution pattern is complementary to that of EndoFbs in the adult heart. When a substantial number of EpiFbs were genetically ablated, EndoFbs could replace the loss of EpiFbs in some specific regions of hearts. CONCLUSIONSThe IIR strategy refines the precision of genetic lineage tracing while still employing the constitutively active Dre recombinase in tandem with inducible Cre. EndoFbs and EpiFbs are complementary in their distribution pattern in the heart, where EndoFbs have the potential to replace the loss of EpiFbs in some regions.

genetics↗

bioRxiv2024

PbrSYP71 regulates ER accumulation by interacting with actin during pollen tube growth in Pyrus

The uneven distribution of endoplasmic reticulum (ER) underlies the rapid polar growth of pollen tubes. However, the mechanism governing ER distribution remains elusive. In this study, we have identified a pollen tube-specific syntaxin protein, PbrSYP71. Our findings reveal that both overexpression and knocking down of PbrSYP71 inhibited pollen tube growth. Subcellular localization analysis demonstrates that PbrSYP71 anchors to the ER via its transmembrane structure. Overexpression of PbrSYP71 leads to clustered ER distribution in the pollen tube, while knocking down of PbrSYP71 abolishes the uneven ER distribution. Remarkably, transient overexpression of PbrSYP71{Delta}ABD, lacking the actin binding domain (ABD) of PbrSYP71, has no impact on ER distribution or pollen tube growth. Further investigation indicates that ABD is positioned on F-actin in the pollen tube and has a direct interaction with F-actin. PbrSYP71 assists the ER in moving towards the apex of pollen tube, with ABD displaying autonomous mobility. Our study elucidates that PbrSYP71 maintains uneven distribution of the ER by tethering ER to F-actin, facilitating ER movement towards the pollen tube apex for pear pollen tube elongation. These insights shed light on the mechanisms governing ER distribution in polarized cell growth.

cell biology↗

bioRxiv2021

A network regularized linear model to infer spatial expression pattern for singlecells

Spatial gene-expression is a crucial determinant of cell fate and behavior. Recent imaging and sequencing-technology advancements have enabled scientists to develop new tools that use spatial information to measure gene-expression at close to single-cell levels. Yet, while Fluorescence In-situ Hybridization (FISH) can quantify transcript numbers at single-cell resolution, it is limited to a small number of genes. Similarly, slide-seq was designed to measure spatial-expression profiles at the single-cell level but has a relatively low gene-capture rate. And although single-cell RNA-seq enables deep cellular gene-expression profiling, it loses spatial information during sample-collection. These major limitations have stymied these methods broader application in the field. To overcome spatio-omics technologys limitations and better understand spatial patterns at single-cell resolution, we designed a computation algorithm that uses glmSMA to predict cell locations by integrating scRNA-seq data with a spatialomics reference atlas. We treated cell-mapping as a convex optimization problem by minimizing the differences between cellular-expression profiles and location-expression profiles with a L1 regularization and graph Laplacian based L2 regularization to ensure a sparse and smooth mapping. We validated the mapping results by reconstructing spatial-expression patterns of well-known marker genes in complex tissues, like the mouse cerebellum and hippocampus. We used the biological literature to verify that the reconstructed patterns can recapitulate cell-type and anatomy structures. Our work thus far shows that, together, we can use glmSMA to accurately assign single cells to their original reference-atlas locations.

bioinformatics↗

bioRxiv2020

A comparative study of deconvolution methods for RNA-seq data under a dynamic testing landscape

Deconvolution analyses have been widely used to track compositional alternations of cell-types in gene expression data. Even though numerous novel methods have been developed in recent years, researchers are still having difficulty selecting optimal deconvolution methods due to the lack of comprehensive benchmarks relative to the newly developed methods. To systematically reveal the pitfalls and challenges of deconvolution analyses, we studied the impact of several technical and biological factors such as simulation model, quantification unit, component number, weight matrix, and unknown content by constructing three benchmarking frameworks that cover comparative analysis of 11 popular deconvolution methods under 1,766 conditions. We hope this study can provide new insights to researchers for future application, standardization, and development of deconvolution tools on RNA-seq data.

bioinformatics↗

bioRxiv2019

Long noncoding RNA AVAN promotes antiviral innate immunity by interacting with TRIM25 and enhancing the transcription of FOXO3a

Accumulating evidence has shown that long noncoding RNAs (lncRNAs) are involved in several biological processes, including immune responses. However, the role of lncRNAs in antiviral innate immune responses remains largely unexplored. Here, we identify an uncharacterized human lncRNA from influenza A virus (IAV) patients, antivirus and activate neutrophil (AVAN), that is significantly up-regulated upon virus infection. Mechanistically, nuclear lncRNA-AVAN positively regulates the transcription of forkhead box O3A (FOXO3a) by associating with its promoter and inducing chromatin remodeling to promote neutrophil chemotaxis. Furthermore, we also found that cytoplasmic lncRNA-AVAN directly binds tripartite motif containing 25 (TRIM25) and enhances the association of TRIM25 and Retinoic acid inducible gene-1 proteins (RIG-I) and the ubiquitylation of RIG-I, thereby promoting TRIM25- and RIG-I-mediated antiviral innate immune signaling. More importantly, we enforced the expression of AVAN in transgenic mice and found that it significantly alleviated IAV virulence and virus production. Collectively, these findings highlight the potential clinical implications of lncRNA-AVAN as a key positive regulator of the antiviral innate immune response and a promising target for developing broad antiviral therapeutics.

immunology↗