Biology subjects

Wang, J.

Publications and source records attributed to Wang, J..

At least 991 records · Page 55Linked to original sources

bioRxiv2024

YTHDF1 Facilitates Lung Adenocarcinoma Progression via Promotion of EEF1G Translation in a m6A-Dependent Manner

Lung adenocarcinoma (LUAD) is a malignant tumor with high morbidity and mortality worldwide, and overall survival rates for LUAD patients remain unimproved. RNA modification is a key process in post-transcriptional gene regulation in epigenetics, with N6-methyladenosine (m6A) being a common RNA modification. The molecular mechanisms of LUAD are unclear, but evidence suggests that m6A RNA methylation plays a significant role. This study aimed to clarify the role of YTHDF1 in LUAD development and pathogenesis. These findings confirmed that YTHDF1, a m6A reader protein, is highly expressed in LUAD tissues and is correlated with tumor differentiation and TNM stage. The results of functional loss experiments in LUAD cell lines revealed that downregulating YTHDF1 inhibits proliferation, migration, and invasion and induces apoptosis, with opposite effects observed upon YTHDF1 upregulation. In vivo, YTHDF1 knockout suppressed LUAD xenograft growth. RNA-seq, MeRIP-seq, RIP-seq, and bioinformatics analyses identified EEF1G as a downstream target of YTHDF1 in LUAD, and high expression of EEF1G was confirmed. The interaction between YTHDF1 and EEF1G was validated through RIP-qPCR, Co-IP and Co-IF assays. The overexpression of EEF1G in LUAD cells partially counteracts the tumor suppression induced by YTHDF1 silencing, and the knockdown of EEF1G has the opposite effect, further confirming the regulatory relationship. In summary, this study describes a novel YTHDF1/EEF1G regulatory pathway in which YTHDF1 promotes LUAD progression by recognizing and binding to the m6A-modified mRNA of EEF1G, accelerating its translation, suggesting that YTHDF1 may be a potential biomarker and therapeutic target.

cancer biology↗

bioRxiv2024

Molecular activity mediates the composition and assembly of dissolved organic matter in lake sediments

Lake sediments are hotspots for carbon transformation and burial, where dissolved organic matter (DOM) interacts with microorganisms to regulate global carbon cycling. The potential for individual DOM molecules to undergo biochemical transformations, i.e., their activity, is a critical molecular trait affecting DOM turnover in environment. However, the composition of sediment DOM and how its assembly mechanisms are related to molecular activity remains poorly understood. Here, 63 freshwater sediments were collected from tropical to cold temperate climatic zones in China. We explored the molecular composition and assembly of sediment DOM and the underlying mechanisms driven by climate, physicochemical factors, and microbes along the molecular activity gradient. Sediment DOM was dominated by lipid- (34.8%) and lignin-like compounds (33.01%), and the latter were enriched as molecular activity of DOM increased. Besides, DOM composed of more active molecules had greater compositional similarity across different climatic zones, and was inclined to assemble deterministically. This was supported by the fact that as potential transformations of molecular assemblages increased from 0.4 to 14, the assembly of these molecules was structured by a shift from stochastic to deterministic processes, with the latter accounting for [≥] 75% thereafter. Overall, the molecular assemblage was primarily structured by physicochemical factors, including sediment total organic carbon and electrical conductivity. As molecular activity increased, however, assemblage was increasingly affected by climate and bacterial communities, consistent with the enhanced complexity of bacterial-molecular networks. Collectively, our study highlights that the intrinsic activity of DOM molecules determines their fate through distinct biotic and abiotic mechanisms.

biochemistry↗

bioRxiv2024

TRPC3 suppression ameliorates synaptic dysfunctions and memory deficits in Alzheimer's disease

Transient receptor potential canonical (TRPC) channels are widely expressed in the brain; however, their precise roles in neurodegeneration, such as Alzheimers disease (AD) remain elusive. Bioinformatic analysis of the published single-cell RNA-seq data collected from AD patient cohorts indicates that the Trpc3 gene is uniquely upregulated in excitatory neurons. TRPC3 expression is also upregulated in post-mortem AD brains, and in both acute and chronic mouse models of AD. Functional screening of TRPC3 antagonists resulted in a lead inhibitor JW-65, which completely rescued A{beta}-induced neurotoxicity, impaired synaptic plasticity (e.g., LTP), and learning memory in acute and chronic experimental AD models. In cultured rat hippocampal neurons, we found that treatment with soluble {beta}-amyloid oligomers (A{beta}Os) induces rapid and sustained upregulation of the TRPC3 expression selectively in excitatory neurons. This aberrantly upregulated TRPC3 contributes to A{beta}Os-induced Ca2+ overload through the calcium entry and store-release mechanisms. The neuroprotective action of JW-65 is primarily mediated via restoring A{beta}Os-impaired Ca2+/calmodulin-mediated signaling pathways, including calmodulin kinases CaMKII/IV and calcineurin (CaN). The synaptic protective mechanism via TRPC3 inhibition was further supported by hippocampal RNA-seq data from the symptomatic 5xFAD mice after chronic treatment with JW-65. Overall, these findings not only validate TRPC3 as a novel therapeutic target for treating synaptic dysfunction of AD but most importantly, disclose a distinct role of upregulated TRPC3 in AD pathogenesis in mediating Ca2+ dyshomeostasis.

neuroscience↗

bioRxiv2024

Human NLRP3 inflammasome activation leads to formation of condensate at the microtubule organizing center

The NLRP3 inflammasome is a multi-protein molecular machine that mediates inflammatory responses in innate immunity. Its dysregulation has been linked to a large number of human diseases. Using cryogenic fluorescence-guided focused-ion-beam (cryo-FIB) milling and electron cryo-tomography (cryo-ET), we obtained 3-D images of the NLRP3 inflammasome in situ at various stages of its activation at macromolecular resolution. The cryo-tomograms unexpectedly reveal dense condensates of the human macrophage NLRP3 inflammasome that form within and around the microtubule organizing center (MTOC). We also find that following activation, the trans-Golgi network disperses and 50-nm NLRP3-associated vesicles appear which likely ferry NLRP3 to the MTOC. At later time points after activation, the electron-dense condensates progressively solidify and the cells undergo pyroptosis with widespread damaged mitochondria and autophagasomal structures.

immunology↗

bioRxiv2024

ScReNI: single-cell regulatory network inference through integrating scRNA-seq and scATAC-seq data

Single cells exhibit heterogeneous gene expression profiles and chromatin accessibility, measurable separately via single-cell RNA sequencing (scRNA-seq) and single-cell transposase chromatin accessibility sequencing (scATAC-seq). Consequently, each cell possesses a unique gene regulatory network. However, limited methods exist for inferring cell-specific regulatory networks, particularly through the integration of scRNA-seq and scATAC-seq data. Here, we develop a novel algorithm named single-cell regulatory network inference (ScReNI), which leverages k-nearest neighbors and random forest algorithms to integrate scRNA-seq and scATAC-seq data for inferring gene regulatory networks at the single-cell level. ScReNI is built to analyze both paired and unpaired datasets for scRNA-seq and scATAC-seq. Using these two types of single-cell sequencing datasets, we validate that a higher fraction of regulatory relationships inferred by ScReNI are detected by chromatin immunoprecipitation sequencing (ChIP-seq) data. ScReNI shows superior performance in network-based cell clustering when compared to existing single-cell network inference methods. Importantly, ScReNI offers the unique function of identifying cell-enriched regulators based on each cell-specific network. In summary, ScReNI facilitates the inferences of cell-specific regulatory networks and cell-enriched regulators.

bioinformatics↗

bioRxiv2024

Influence of the Glymphatic System on α-Synuclein Propagation: Role of Aquaporin-4 and the Dystrophin-Associated Protein Complex

Propagation and aggregation of prion proteins, such as tau and -synuclein (Syn), are key pathological features of neurodegenerative diseases. Extracellular clearance pathways, such as the glymphatic system, may play a crucial role in the removal of these toxic proteins from the brain. Primarily active during sleep, this system relies on aquaporin-4 (AQP4) water channel expression and polarisation to astrocytic endfeet, facilitating interstitial solute clearance. Glymphatic dysfunction has recently been implicated in Parkinsons disease, however the precise mechanisms underlying the pathogenic effect of this dysfunction remain unclear. This includes how impaired glymphatic function influences Syn propagation dynamics, and the role of propagating Syn itself on glymphatic function. In this study, we used a mouse model of Syn propagation to elucidate the impact of Syn aggregation on glymphatic function, by measuring CSF-ISF exchange and assessing AQP4 and associated endfoot complex proteins in the brain over time and across different regions. Our results show that direct injection of Syn pre-formed fibrils leads to reduced expression of the AQP4 endfoot complex, but propagation of endogenous Syn induces an enhancement of glymphatic function suggesting compensatory upregulation in response to increasing endogenous Syn load. To determine the influence of glymphatic dysfunction on Syn propagation dynamics, we then employed a pharmacological approach to inhibit glymphatic function in this model. Acute glymphatic inhibition significantly reduced brain to CSF Syn clearance, and chronic treatment exacerbated Syn pathology, neurodegeneration, and motor behavioural deficits in mice. Together our findings show that Syn clearance and propagation are modulated by glymphatic function and suggest that AQP4 complex dysregulation may contribute to glymphatic impairment associated with Parkinsons diseases. Summary for the non-scientific communityThe glymphatic system clears brain waste during sleep. Lopes et al. show that -synuclein, a protein linked to Parkinsons, is cleared by this system. Using a mouse model of the disease, they suggest that aquaporin-4 water channels may impair glymphatic function, contributing to -synuclein buildup in patients brains.

neuroscience↗

bioRxiv2024

BRUCE liver-deficiency potentiates MASLD/MASH in PTEN liver-deficient background by impairment of mitochondrial metabolism in hepatocytes and activation of STAT3 signaling in hepatic stellate cells

Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most common liver disease, affecting up to 25% of people worldwide, featuring excessive fat accumulation in hepatocytes. Its advanced form, metabolic dysfunction-associated steatohepatitis (MASH), is a serious disease with hepatic inflammation and fibrosis, increasing the need for liver transplants. However, the pathogenic mechanism of MASLD and MASH is not fully understood. We reported that BRUCE (BIRC6) is a liver cancer suppressor and is downregulated in MASLD/MASH patient liver specimens, though the functional role of BRUCE in MASLD/MASH remains to be elucidated. To this end, we generated liver-specific double KO (DKO) mice of BRUCE and PTEN, a major tumor suppressor and MASLD/MASH suppressor. By comparing liver histopathology among 2-3-month-old mice, there were no signs of MASLD or MASH in BRUCE liver-KO mice and only onset of steatosis in PTEN liver-KO mice. Interestingly, DKO mice had developed robust hepatic steatosis with inflammation and fibrosis. Further analysis of mitochondrial function with primary hepatocytes found moderate reduction of mitochondrial respiration, ATP production and fatty acid oxidation in BRUCE KO and the greatest reduction in DKO hepatocytes. Moreover, aberrant activation of pro-fibrotic STAT3 signaling was found in hepatic stellate cells (HSCs) in DKO mice which was prevented by administered STAT3-specific inhibitor (TTI-101). Collectively, the data demonstrates by maintaining mitochondrial metabolism BRUCE works in concert with PTEN to suppress the pro-fibrogenic STAT3 activation in HSCs and consequentially prevent MASLD/MASH. The findings highlight BRUCE being a new co-suppressor of MASLD/MASH.

molecular biology↗

bioRxiv2024

Spatial and Single Cell Mapping of Castleman Disease Reveals Key Stromal Cell Types and Cytokine Pathways

Castleman disease (CD) is inflammatory lymphoproliferative disorder of unclear etiology. To determine the cellular and molecular basis of CD, we analyzed the spatial proteome of 4,485,009 single cells, transcriptome of 50,117 single nuclei, immune repertoire of 8187 single nuclei, and pathogenic mutations in Unicentric CD, idiopathic Multicentric CD, HHV8-associated MCD, and reactive lymph nodes. CD was characterized by increased non-lymphoid and stromal cells that formed unique microenvironments where they interacted with lymphoid cells. Interaction of activated follicular dendritic cell (FDC) cytoplasmic meshworks with mantle zone B cells was associated with B cell activation and differentiation. VEGF, IL-6, MAPK, and extracellular matrix pathways were elevated in stromal cells of CD. CXCL13+ FDCs, PDGFRA+ T-zone reticular cells (TRC), and ACTA2-positive perivascular reticular cells (PRC) were identified as the predominant source of increased VEGF expression and IL-6 signaling in CD. VEGF expression by FDCs was associated with peri-follicular neovascularization. FDC, TRC and PRC of CD activated JAK-STAT, TGF{beta}, and MAPK pathways via ligand-receptor interactions involving collagen, integrins, complement components, and VEGF receptors. T, B and plasma cells were polyclonal but showed class-switched and somatically hypermutated IgG1+ plasma cells consistent with stromal cell-driven germinal center activation. In conclusion, our findings show that stromal cell activation and associated B-cell activation and differentiation, neovascularization and stromal remodeling underlie CD and suggest new targets for treatment. Key pointsO_LICastleman Disease is characterized by activation and proliferation of CXCL13+ FDCs, PDGFRA+ reticular cells, and ACTA2-positive PRCs. C_LIO_LIVEGF and IL-6 from lymph node stromal cells are associated with B-cell activation and differentiation, endothelial proliferation, and inflammation in CD C_LI

pathology↗

bioRxiv2024

Disrupted development of sensory systems and the cerebellum in a zebrafish ebf3a mutant

Mutations in the transcription factor EBF3 results in a neurodevelopmental disorder, and studies in animal models indicate that it has a critical role in neuronal differentiation. The molecular pathways and neuron types disrupted by its loss, however, have not been thoroughly investigated. Nor have the outcomes of these changes on behavior and brain activity. Here, we generated and characterized a zebrafish ebf3a loss-of-function mutant. We discovered morphological and neural phenotypes, including an overall smaller brain size, particularly in the hypothalamus, cerebellum, and hindbrain. Brain function was also compromised, with activity strongly increased in the cerebellum and abnormal behavior at baseline and in response to visual and acoustic stimuli. From RNA-sequencing of developing larvae, notable changes included significant downregulation of genes that mark olfactory sensory neurons, the lateral line, and cerebellar Purkinje neurons. This study sets the stage for determining which downstream pathways underlie the emergence of the observed phenotypes and establishes multiple strong phenotypes that could form the basis of a drug screen.

neuroscience↗

bioRxiv2024

A proteome-wide dependency map of protein interaction motifs

Short linear motifs (SLiMs) are the most ubiquitous protein interaction modules within unstructured regions of the human proteome, yet their contribution to cellular homeostasis remains poorly understood. To systematically assess SLiM function, we applied base editing to mutate all reported and a set of computationally predicted SLiMs defined by SLiM-like evolutionary patterns. By screening 7,293 SLiM-containing regions with 80,473 mutations in HAP1 cells, we define a SLiM dependency map identifying 450 known and 264 predicted SLiMs required for normal cell proliferation. Mutational consequences were highly reproducible in RPE1 cells, with differences attributed to cell line-specific gene essentiality. We show that most essential predicted SLiMs belong to novel classes and identify binding partners for several of these, providing mechanistic insight into a disease-associated ANKRD17 mutation. Our study provides a proteome-wide resource on SLiM essentiality and uncovers numerous uncharacterized yet essential SLiMs.

cell biology↗

bioRxiv2024

Cloud-enabled Scalable Analysis of Large Proteomics Cohorts

Rapid advances in depth and throughput of untargeted mass-spectrometry-based proteomic technologies are enabling large-scale cohort proteomic and proteogenomic analyses. As such studies scale, the data infrastructure and search engines required to process data must also scale. This challenge is amplified in search engines that rely on library-free match between runs (MBR) search, which enable enhanced depth-per-sample and data completeness. However, to-date, no MBR-based search could scale to process cohorts of thousands or more individuals. Here, we present a strategy to deploy search engines in a distributed cloud environment without source code modification, thereby enhancing resource scalability and throughput. Additionally, we present an algorithm, Scalable MBR, that replicates the MBR procedure of the popular DIA-NN software for scalability to thousands of samples. We demonstrate that Scalable MBR can search thousands of MS raw files in a few hours compared to days required for the original DIA-NN MBR procedure and demonstrate that the results are almost indistinguishable to those of DIA-NN native MBR. The method has been tested to scale to over 15,000 injections and is available for use in the Proteograph Analysis Suite.

bioinformatics↗

bioRxiv2024

Single cell genome and epigenome co-profiling reveals hardwiring and plasticity in breast cancer

Understanding the impact of genetic alterations on epigenomic phenotypes during breast cancer progression is challenging with unimodal measurements. Here, we report wellDA-seq, the first high-genomic resolution, high-throughput method that can simultaneously measure the whole genome and chromatin accessibility profiles of thousands of single cells. Using wellDA-seq, we profiled 22,123 single cells from 2 normal and 9 tumors breast tissues. By directly mapping the epigenomic phenotypes to genetic lineages across cancer subclones, we found evidence of both genetic hardwiring and epigenetic plasticity. In 6 estrogen-receptor positive breast cancers, we directly identified the ancestral cancer cells, and found that their epithelial cell-of-origin was Luminal Hormone Responsive cells. We also identified cell types with copy number aberrations (CNA) in normal breast tissues and discovered non-epithelial cell types in the microenvironment with CNAs in breast cancers. These data provide insights into the complex relationship between genetic alterations and epigenomic phenotypes during breast tumor evolution.

genomics↗

bioRxiv2024

Small mammals in biodiversity hotspot harbor viruses of epidemic potential

Metagenomic sequencing has transformed our understanding of viral diversity in wildlife and its threat to human health. Despite this progress, many studies have lacked systematic and ecologically informed sampling, which has left numerous potentially emergent viruses undiscovered, and the drivers of their ecology and evolution poorly understood. We conducted an extensive analysis of viruses in the lung, spleen, and gut of 1,688 animals from 38 mammalian species across 428 sites in Yunnan, China--a hotspot for zoonotic diseases. We identified 162 mammalian viral species, including 102 novel species and 24 posing potential risks to humans due to their relationships with known pathogens associated with serious diseases and their ability to cross major host species barriers. Our findings offer an in-depth view of virus organotropism, cross-species transmission, host sharing patterns, and the ecological factors influencing viral evolution, all of which are critical for anticipating and mitigating future zoonotic outbreaks.

microbiology↗

bioRxiv2024

Photochemical processes drive thermal responses of dissolved organic matter in the dark ocean

How dissolved organic matter (DOM) responds to climate warming is critical for understanding its role in future ocean carbon cycling. Here, we use a highly resolved dataset of over 800 DOM samples covering the surface waters to the deep Atlantic, Southern, and Pacific oceans to examine the changes in DOM molecular composition in response to warming water temperatures, referred to as DOM thermal responses. Towards the deep waters, the strength (i.e., overall magnitude) and diversity (i.e., variation among molecules) of these thermal responses both decline. However, these responses show opposite trends with the concentration of more recalcitrant molecules, decreasing and increasing, respectively. These contrasting trends concur with the observation that, compared to the strength of thermal responses, their diversity is more strongly explained by photochemical processes of DOM. By projecting global ocean thermal responses from 1950 to 2020 using environmental temperature, salinity and radiation, we predict that increases in the diversity of thermal responses are unexpectedly largest at deeper depths (> 1,000 m). Such increases could elevate the recalcitrant deep-ocean carbon sink by approximately 10 Tg C yr-1, which accounts for > 5% of the carbon flux reaching and persisting in the deep ocean. Our findings highlight the role of photochemical processes in imprinting DOM thermal responses, offering new insights into the future capacity of the oceanic carbon sink under global climate change.

ecology↗

bioRxiv2024

Deciphering the Cell Specific Transcript Heterogeneity and Alternative Splicing during the Early Embryonic Development of Zebrafish

Cell fate determination during early embryonic development is a complex process modulated by gene expression. The intricate interplay of transcriptional and post-transcriptional regulation is integral to the developmental trajectory of embryogenesis, yet how RNA processing may contribute to early development programming is largely elusive. Leveraging recent technological advances in single-molecule nanopore sequencing, we developed a single-cell long-read transcriptome sequencing technology, allowing a clear view of transcript diversity during zebrafish embryogenesis during pre- and post-zygotic genome activation (ZGA). A closer examination of the dynamic transcript usage and potential alternative splicing revealed that abundant stage-specific transcripts with differential coding potentials are involved in distinct biological functions. Specifically, we identified two cell populations at the onset of ZGA based on isoform diversity instead of gene profiling, which followed divergent developmental trajectories toward the ectoderm and the presumptive ectoderm. These two populations of cells were characterized by divergent splicing regulations linked to differential RNA-binding proteins, including SNRPA and SFPQ. Altogether, using the single-cell long-read transcriptome sequencing strategy, we work has revealed the cell-specific transcriptome dynamics contributing to the cell fate determination during embryogenesis.

developmental biology↗

bioRxiv2024

An antibiotic that mediates immune destruction of senescent cancer cells

Drugs that eliminate senescent cells, senolytics, can be powerful when combined with pro-senescence cancer therapies. Using a CRISPR/Cas9-based genetic screen, we identify here SLC25A23 as a vulnerability of senescent cancer cells. Suppressing SLC25A23 disrupts cellular calcium homeostasis, impairs oxidative phosphorylation and interferes with redox signaling, leading to death of senescent cells. These effects can be replicated by salinomycin, a cation ionophore antibiotic. Salinomycin prompts a PANoptosis-like cell death in senescent cells, including apoptosis and two forms of immunogenic cell death: necroptosis and pyroptosis. Notably, we observed that salinomycin treatment or SLC25A23 suppression elevates reactive oxygen species, upregulating death receptor 5 via JNK pathway activation. We show that a combination of a DR5 agonistic antibody and salinomycin is a robust senolytic cocktail. We provide evidence that this drug combination provokes a potent NK and CD8+ T cell mediated immune destruction of senescent cancer cells, mediated by the pyroptotic cytokine IL18. SignificanceThe efficacy of multiple cancer drugs is limited by the induction of senescence, which enables cancer cells to evade cell death. We uncover here a new selective vulnerability of senescent cancer cells and we show that this vulnerability can be targeted with a commonly-used antibiotic. We show that a combination of senescence-inducing therapy, combined with this antibiotic causes a highly immunogenic cell death phenotype that further stimulates potent immune destruction of senescent cancer cells.

cancer biology↗

bioRxiv2024

Structural and molecular basis of the epistasis effect in enhanced affinity between SARS-CoV-2 KP.3 and ACE2

The recent emergence of SARS-CoV-2 variants KP.2 and KP.3 has been marked by mutations F456L/R346T and F456L/Q493E, respectively, which significantly impact the viruss interaction with human ACE2 and its resistance to neutralizing antibodies. KP.3, featuring F456L and Q493E, exhibits a markedly enhanced ACE2 binding affinity compared to KP.2 and the JN.1 variant due to synergistic effects between these mutations. This study elucidated the structures of KP.2 and KP.3 RBD in complex with ACE2 using cryogenic electron microscopy (Cryo-EM) and decipher the structural and thermodynamic implications of these mutations on receptor binding by molecular dynamics (MD) simulations, revealing that F456L mutation facilitates a more favorable binding environment for Q493E, leading to stronger receptor interactions which consequently enhance the potential for incorporating additional evasive mutations. These results underscore the importance of understanding mutational epistatic interactions in predicting SARS-CoV-2 evolution and optimizing vaccine updates. Continued monitoring of such epistatic effects is crucial for anticipating new dominant strains and preparing appropriate public health responses.

molecular biology↗

bioRxiv2024

Increased burden of rare risk variants across gene expression networks predisposes to sporadic Parkinson's disease

Alpha-synuclein (Syn) is an intrinsically disordered protein that accumulates in the brains of patients with Parkinsons disease and forms intraneuronal inclusions called Lewy Bodies. While the mechanism underlying the dysregulation of Syn in Parkinsons disease is unclear, it is thought that prionoid cell-to-cell propagation of Syn has an important role. Through a high throughput screen, we recently identified 38 genes whose knock down modulates Syn propagation. Follow up experiments were undertaken for two of those genes, TAX1BP1 and ADAMTS19, to study the mechanism with which they regulate Syn homeostasis. We used a recently developed M17D neuroblastoma cell line expressing triple mutant (E35K+E46K+E61K) "3K" Syn under doxycycline induction. 3K Syn spontaneously forms inclusions that show ultrastructural similarities to Lewy Bodies. Experiments using that cell line showed that TAX1BP1 and ADAMTS19 regulate how Syn interacts with lipids and phase separates into inclusions, respectively, adding to the growing body of evidence implicating those processes in Parkinsons disease. Through RNA sequencing, we identified several genes that are differentially expressed after knock-down of TAX1BP1 or ADAMTS19. Burden analysis revealed that those differentially expressed genes (DEGs) carry an increased frequency of rare risk variants in Parkinsons disease patients versus healthy controls, an effect that was independently replicated across two separate cohorts (GP2 and AMP-PD). Weighted gene co-expression network analysis (WGCNA) showed that the DEGs cluster within modules in regions of the brain that develop high degrees of Syn pathology (basal ganglia, cortex). We propose a novel model for the genetic architecture of sporadic Parkinsons disease: increased burden of risk variants across genetic networks dysregulates pathways underlying Syn homeostasis, thereby leading to pathology and neurodegeneration.

cell biology↗