Biology subjects

Zhu, L. Y.

Publications and source records attributed to Zhu, L. Y..

7 recordsLinked to original sources

bioRxiv2026

Chemical Genetic Targeting of the LRRK2 GTPase Domain

Genetic variants throughout the multi-domain protein leucine-rich repeat kinase 2 (LRRK2) gene are the most common cause of autosomal dominant Parkinson's disease, and the most prevalent Parkinson's-associated LRRK2 variants enhance kinase activity. Hence, the kinase domain has been extensively targeted for therapeutic development. However, clinical progression of LRRK2 kinase inhibitors has been limited by on-target peripheral toxicities linked to strong kinase suppression, raising the question of whether targeting LRRK2 kinase activity through other means could offer a more tunable therapeutic window. LRRK2 is one of two proteins in the human proteome that possess a Roc-COR GTPase domain in tandem with a kinase domain, and the GTPase domain has been shown to intramolecularly regulate kinase output. Here, we ask whether the Roc-COR GTPase can be targeted as an alternative approach to downregulate kinase activity. We utilize a chemical genetic approach to sensitize LRRK2 to existing GTPase inhibitors and show that pharmacologically engaging the Roc-COR GTPase domain in cells decreases but does not fully inhibit LRRK2-mediated Rab10 T73 phosphorylation. This study lays the groundwork for future efforts directed at the development of pharmacological inhibitors for the LRRK2 GTPase, providing an alternative approach for therapies targeting LRRK2-driven Parkinson's disease.

molecular biology↗

bioRxiv2026

Associations Between Plasma Lipoprotein(a) Levels and Circulating Monocyte Subsets Differ across Populations

BackgroundLipoprotein(a) [Lp(a)] is a causal risk factor for cardiovascular disease (CVD), with plasma concentrations higher in Black individuals than in White individuals. Published findings support a model in which high Lp(a), in part through oxidized phospholipid (oxPL)-mediated signaling, promotes a pro-inflammatory monocyte phenotype that may contribute to arterial wall inflammation and the development of CVD. Here, we examined the relationship between Lp(a) concentrations and isoform size and the distribution of circulating monocyte populations in Black and White individuals using single-cell RNA sequencing (scRNA-seq) data. MethodsUsing standardized assays, we measured plasma Lp(a) levels, isoform size, inflammatory markers, and oxidized phospholipids in stored plasma samples from our previously published cohort of 128 participants. After excluding smokers and individuals with type II diabetes, a total of 34 participants (20 Black participants, 14 White participants) were included in analyses. Participants were further stratified by plasma Lp(a) levels into normal Lp(a) [median 12.6 nmol/L, with 15 individuals (8 Black participants) and high Lp(a) (median 159 nmol/L, with 19 individuals (12 Black partcipants)]. Multivariable linear regression was used to assess the association between plasma Lp(a) levels, Lp(a)-oxPL, and the proportion of monocyte subsets. Across all participants, scRNA-seq data identified six classical monocyte subsets, one non-classical monocyte subset, one MHCIIhi monocyte subset, and one interferon (IFN)-responsive monocyte subset. ResultsThe distribution of monocyte subsets was similar in individuals with normal versus high Lp(a) levels. Despite the small study cohort, self resported race modified the assocation between plasma Lp(a) levels and the proportion of non-classical monocytes (P = 0.032), which was inversely associated in White participants (P = 0.028), but not in Black partcipatns (P = 0.470). OxPL bound to APO(a) showed a positive correlation with plasma Lp(a) levels (R2 = 0.84; P = 3.3x10-14), and non-classical monocytes (PWhites = 0.027; PBlacks = 0.275; PInteraction = 0.014). Race also modified the association between plasma Lp(a) levels and the proportion of classical 2 monocytes (P = 0.027). ConclusionsThese results underscore the importance of self reported race when analysing studies on Lp(a), monocytes and, cardiovascular related monocyte immune functions.

immunology↗

bioRxiv2025

Comprehensive Multimodal Profiling of Atherosclerosis Reveals Bhlhe40 as a Potential Regulator of Vascular Smooth Muscle Cell Phenotypic Modulation

BackgroundVascular smooth muscle cells (VSMCs) play a central role in atherosclerosis by undergoing phenotypic modulation from a quiescent, contractile state to a range of synthetic phenotypes, including fibroblast-like, macrophage-like, and lipid-laden foam cell-like states. However, a comprehensive multimodal characterization and understanding of the transcriptional programs driving these transitions remain incomplete. MethodsTo comprehensively define the phenotypic diversity of VSMCs during atherosclerosis progression, we performed in-depth profiling using cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and bulk RNA sequencing in a VSMC lineage-tracing atherosclerotic mouse model. Insights from these datasets guided the design of targeted in vitro experiments to investigate candidate regulatory mechanisms. ResultsSingle-cell multi-omics revealed extensive cellular heterogeneity within atherosclerotic plaques, including a rare population of VSMC-derived macrophage-like cells, whose presence was confirmed by histological analysis. These studies also identified a substantial population of VSMC-derived foam cells, comprising approximately 70% of all foam cells in the lesions. These cells exhibited activation of gene programs associated with lipid metabolism, proliferation, and tumor-like features. The transcription factor Bhlhe40 emerged as a key regulator of this phenotypic transition, with elevated expression in VSMC-derived foam cells during disease progression. Functional knockdown of Bhlhe40 suppressed VSMC phenotypic switching and foam cell characteristics, underscoring its potential role as a driver of VSMC modulation. ConclusionsThese findings advance our understanding of VSMC phenotypic modulation in atherosclerosis and highlight Bhlhe40 as a key regulator of this process. Elucidating the mechanisms governing VSMC plasticity may offer new therapeutic opportunities to reduce cardiovascular risk by targeting disease-driving cellular transitions.

molecular biology↗

bioRxiv2025

Single-Cell Multimodal Profiling Reveals a Novel CD26+ Fibroblast Subpopulation in Atherosclerosis

BackgroundAtherosclerosis involves complex interactions between lipids, immune cells, vascular smooth muscle cells (VSMCs), and fibroblasts within the arterial wall. While significant advances in single-cell technologies have shed light on the roles of immune cells and VSMCs in plaque development, fibroblasts remain underexplored, leaving critical gaps in understanding their contributions to disease progression and plaque stability. Comprehensive characterization of fibroblast phenotypes in atherosclerosis is essential to unravel their diverse functions and to distinguish between subsets that may play protective versus pathogenic roles in the disease process. MethodsHere, we utilized CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) to comprehensively profile fibroblast diversity in a mouse model of atherosclerosis. Mice were fed an atherogenic diet for 0, 8, 19, and 26 weeks, representing distinct stages of disease progression, enabling a detailed phenotypic characterization of fibroblasts throughout the course of atherosclerosis development. ResultsWe identified four distinct fibroblast subpopulations, including a myofibroblast population closely resembling VSMC-derived chondromyocytes. The proportions of these fibroblast subsets exhibited a modest decline as atherosclerosis progressed. Through multimodal analysis, we identified CD26 as a highly expressed and specific marker for one of these fibroblast subpopulations, distinguishing it from other subsets. Using a combination of flow cytometry and immunohistochemistry, we demonstrated that CD26+ fibroblasts predominantly reside in the adventitia of healthy arteries. During atherosclerosis progression, these cells expand into the intima and primarily localize within the fibrous cap of the lesion. ConclusionsOur multi-omic analysis highlights the phenotypic diversity and dynamic changes of fibroblasts during atherosclerosis progression. Among these, CD26+ fibroblasts emerge as a distinct subpopulation that expands within atherosclerotic lesions and may play a critical role in promoting plaque stability through their migration into the fibrous cap.

genomics↗

bioRxiv2024

Single-cell multimodal profiling of monocytes reveals diverse phenotypes and alterations linked to cardiovascular disease risks

Monocytes are a critical innate immune system cell type that serves homeostatic and immunoregulatory functions. The Cell surface expression of CD14 and CD16 has historically identified them, however, recent single-cell studies have uncovered that they are much more heterogeneous than previously realized. We utilized cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and single-cell RNA sequencing (scRNA-seq) to describe the comprehensive transcriptional and phenotypic landscape of 437,126 monocytes. This high-dimensional multimodal approach identified vast phenotypic diversity and functionally distinct subsets, including IFN-responsive, MHCIIhi, monocyte-platelet aggregates, and non-classical, as well as several subpopulations of classical monocytes. Using flow cytometry, we validated the existence of MHCII+CD275+ MHCIIhi, CD42b+ monocyte-platelet aggregates, CD16+CD99- non-classical monocytes, and CD99+ classical monocytes. Each subpopulation exhibited unique functions, developmental trajectories, transcriptional regulation, and tissue distribution. Moreover, we revealed alterations associated with cardiovascular disease (CVD) risk factors, including race, smoking, and hyperlipidemia, and the effect of hyperlipidemia was recapitulated in mouse models of elevated cholesterol. This integrative and cross-species comparative analysis provides a unique resource to compare alterations in monocytes in pathological conditions and offers insights into monocyte-driven mechanisms in CVD and the potential for targeted therapies. SummaryMultimodal profiling provides a comprehensive phenotypic and transcriptional understanding of monocytes in health and cardiovascular disease risk states.

genomics↗

bioRxiv2020

Bone marrow adipocytes drive the development of tissue invasive Ly6Chigh monocytes during obesity

During obesity and high fat-diet (HFD) feeding in mice, sustained low-grade inflammation includes not only increased pro-inflammatory macrophages in the expanding adipose tissue, but also bone marrow (BM) production of invasive Ly6Chigh monocytes. As BM adiposity also accrues with HFD, we explored the relationship between the gains in BM white adipocytes and invasive Ly6Chigh monocytes in vivo and through ex vivo paradigms. We find a temporal and causal link between BM adipocyte whitening and the Ly6Chigh monocyte surge, preceding the adipose tissue macrophage rise during HFD. Phenocopying this, ex vivo treatment of BM cells with conditioned media from BM adipocytes or from bona fide white adipocytes favoured Ly6Chigh monocyte preponderance. Notably, the switch towards the Ly6Chigh subset was preceded by monocyte metabolic reprogramming towards glycolysis, reduced oxidative potential and increased mitochondrial fission. In sum, short-term HFD changes BM cellularity, resulting in local adipocyte whitening driving a gradual increase and activation of invasive Ly6Chigh monocytes.

immunology↗

bioRxiv2019

A proximity biotinylation map of a human cell

Compartmentalization is a defining characteristic of eukaryotic cells, partitioning cellular processes into discrete subcellular locations. High throughput microscopy1 and biochemical fractionation coupled with mass spectrometry2-6 have helped to define the proteomes of a variety of organelles and macromolecular structures. However, many other intracellular compartments have remained refractory to such approaches, due for example to difficulty in purifying non-membrane bound structures. Proximity-dependent biotinylation techniques such as BioID provide an alternative approach for defining the composition of cellular compartments in living cells7-10. Here we present a BioID-based map of a human cell based on 192 markers from 32 different subcellular compartments, comprising 35,902 high confidence proximity interactions, and defining the intracellular locations of 4,145 unique proteins in HEK 293 cells. Our localization predictions meet or exceed previous-approaches, with higher specificity, and enabled the discovery of proteins at the mitochondrial outer membrane-endoplasmic reticulum (ER) interface that are critical for mitochondrial homeostasis. Based on this dataset, we have established humancellmap.org as a community resource that provides online tools for localization analysis of user BioID data, and demonstrate how this resource can be used to better understand BioID datasets.

molecular biology↗