Biology subjects

Gu, J.

Publications and source records attributed to Gu, J..

At least 127 records · Page 7Linked to original sources

bioRxiv2020

Development and validation of a six-RNA binding proteins prognostic signature and candidate drugs for prostate cancer

The dysregulation of RNA binding proteins (RBPs) play critical roles in the progression of several cancers. However, the overall functions of RBPs in prostate cancer (PCa) remain poorly understood. Therefore, we first identified 144 differentially expressed RBPs in tumors compared to normal tissues based on the TCGA dataset. Next, six RBP genes (MSI1, MBNL2, LENG9, REXO2, RNASE1, PABPC1L) were screened out as prognosis hub genes by univariate, LASSO and multivariate Cox regression and used to establish the prognostic signature. Further analysis indicated that high risk group was significantly associated with poor RFS, which was validated in the MSKCC cohort. Besides, patients in high risk group was closely associated with dysregulation of DNA damage repair pathway, copy number alteration, tumor burden mutation and low-respond to cisplatin (P < 0.001), bicalutamide (P < 0.001). Finally, three drugs (ribavirin, carmustine, carbenoxolone) were predicted using Connectivity Map. In summary, we identified a six-RBP gene signature and three candidate drugs against PCa, which may promote the individualized treatment and further improve the life quality of PCa patients.

genomics↗

bioRxiv2020

The nuclear localization sequence mediates hnRNPA1 amyloid fibril formation revealed by cryoEM structure

Human heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) serves as a key regulating protein in RNA metabolism. Malfunction of hnRNPA1 in nucleo-cytoplasmic transport or dynamic phase separation leads to abnormal amyloid aggregation and neurodegeneration. The low complexity (LC) domain of hnRNPA1 drives both dynamic phase separation and amyloid aggregation. Here, we use cryo-electron microscopy to determine the amyloid fibril structure formed by hnRNPA1 LC domain. Remarkably, the structure reveals that the nuclear localization sequence of hnRNPA1 (termed PY-NLS), which is initially known to mediate the nucleo-cytoplamic transport of hnRNPA1 through binding with karyopherin-{beta}2 (Kap{beta}2), represents the major component of the fibril core. The residues that contribute to the binding of PY-NLS with Kap{beta}2 also exert key molecular interactions to stabilize the fibril structure. Notably, hnRNPA1 mutations found in familial amyotrophic lateral sclerosis (ALS) and multisystem proteinopathoy (MSP) are all involved in the fibril core and contribute to fibril stability. Our work illuminate structural understandings on the pathological amyloid aggregation of hnRNPA1 and the amyloid disaggregase activity of Kap{beta}2, and highlights the multiple roles of PY-NLS in hnRNPA1 homeostasis.

biophysics↗

bioRxiv2020

New gene association measures by joint network embedding of multiple gene expression datasets

Large number of samples are required to construct a reliable gene co-expression network, the samples from a single gene expression dataset are obviously not enough. However, batch effect may widely exist among datasets due to different experimental conditions. We proposed JEBIN (Joint Embedding of multiple BIpartite Networks) algorithm, it can learn a low-dimensional representation vector for each gene by integrating multiple bipartite networks, and each network corresponds to one dataset. JEBIN owns many inherent advantages, such as it is a nonlinear, global model, has linear time complexity with the number of genes, dataset or samples, and can integrate datasets with different distribution. We verified the effectiveness and scalability of JEBIN through a series of simulation experiments, and proved better performance on real biological data than commonly used integration algorithms. In addition, we conducted a differential co-expression analysis of hepatocellular carcinoma between the single-cell and bulk RNA-seq data, and also a contrast between the hepatocellular carcinoma and its adjacency samples using the bulk RNA-seq data. Analysis results prove that JEBIN can obtain comprehensive and stable gene co-expression networks through integrating multiple datasets and has wide prospect in the functional annotation of unknown genes and the regulatory mechanism inference of target genes.

bioinformatics↗

bioRxiv2020

Artificial-Cell-Type Aware Cell Type Classification in CITE-seq

Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq), couples the measurement of surface marker proteins with simultaneous sequencing of mRNA at single cell level, which brings accurate cell surface phenotyping to single cell transcriptomics. Unfortunately, multiplets in CITE-seq datasets create artificial cell types and complicates the automation of cell surface phenotyping. We propose CITE-sort, an artificial-cell-type aware surface marker clustering method for CITE-seq. CITE-sort is aware of and is robust to multiplet-induced artificial cell types. We benchmarked CITE-sort with real and simulated CITE-seq datasets and compared CITE-sort against canonical clustering methods. We show that CITE-sort produces the best clustering performance across the board. CITE-sort not only accurately identifies real biological cell types but also consistently and reliably separates multiplet-induced artificial-cell-type droplet clusters from real biological-cell-type droplet clusters. In addition, CITE-sort organizes its clustering process with a binary tree, which facilitates easy interpretation and verification of its clustering result and simplifies cell type annotation with domain knowledge in CITE-seq.

bioinformatics↗

bioRxiv2020

Gut lymph purification regulates monocyte activity in rats with ischemia-reperfusion injury-induced sepsis

ObjectiveTo confirm that gut lymph purification (GLP) based on oXiris regulates monocyte activity by targeting the removal of ischemia-reperfusion injury (IRI)-induced intestinal toxic substances (ITSs) in rats. MethodsSepsis was induced by intestinal IRI in 24 adult male Sprague-Dawley rats that were randomly divided into the control, intestinal IRI, and IRI+GLP groups. The gut lymph fluid (GLF) was drained for 180 minutes. The ITSs levels and the proliferation, apoptosis and positive expression rates of MHC-II molecules of monocytes coincubated with the GLF were detected. ResultsEndotoxin, TNF-, IL-4, IL-6 and IL-10 levels in the lymph and plasma of the IRI group were significantly higher than those of the control group (p < 0.01). Compared with the IRI group, GLP treatment significantly decreased the ITS levels (p < 0.05). Monocyte proliferation and the positive expression rate of MHC-{square} molecules were significantly reduced after co-culturing with GLF upon IRI (p < 0.01), and the apoptotic rate was significantly increased (p < 0.01). However, culturing monocytes with GLP significantly enhanced the monocyte proliferation, increased the positive expression rate of MHC-{square} monocytes (p < 0.01), and reduced the apoptotic rate (p < 0.01). ConclusionsGLP therapy based on oXiris effectively removed ITSs from the GLF after IRI, thereby blocking the main process of multiple organ dysfunction syndrome by regulating monocyte activity.

molecular biology↗

bioRxiv2020

Development of the yeast Saccharomyces cerevisiae as a biosensor for the toxicity detection of toxic substances

A whole-cell biosensor developed with yeast Saccharomyces cerevisia to detect the toxicity of chlorothalonil has been developed. This biosensor relied on the inhibition effect for metabolism by toxicants to provide detection and the degree of toxicity to yeast cells. In order to further improve the toxic sensitivity of yeast cells biosensor, the effect of the action time, the initial pH value of the medium and the temperature on inhibiting cell growth were investigated. Response surface regression analysis was conducted to obtain optimal culture conditions. Th effects of treated yeast morphology, ROS, DNA, caspase 3 activity were analyzed. This optimized yeast as a biosensor was used to detect chlorothalonil and heavy metals. The results are as follows: at optimal culture conditions, EC50 values of chlorothalonil to yeast biosensor determined at incubation time 4 h increased from 0.25 {micro}g{middle dot}mL-1 in the control to 0.006 {micro}g{middle dot}mL-1, which increased by 41.67 times. Compared with the control yeast cells, the morphology of optimized yeast cells were more transparent, with significantly increased intracellular vesicle rate and cell membrane permeability, intracelluar ROS increased siginificantly, DNA bands extracted was ladder, and caspase 3 activity was stimulated. The yeast biosensor had a high sensitivity to heavy metals. After analysis, many treated cells were apoptosis which was the main reason for the increasing sensitivity to detect harmful substances. It was found that the method provides a new idea for the detection of harmful substances in the environment. Yeast cells biosensor could be used to detect harmful substances in the environment, sunch as chlorothalonil, heavy metals. Even through chemical analysis methods, such as ICP-MS and High Performance Liquid Choromatography (HPLC), have strengths in accuracy and limit of detection, it is impossible to evaluate the cytotoxicity and the biological effect of waste water by chemical result alone, and it is also expensive, prolix and complicated. However, the yeast cell biosensor is easy to operate, is sensitive to various toxicants, comparable to the other totxicity detection methods, is cheap in cost, and has. Therefore, the method which used yeast cells as biosensor will have great potential in the detection of the cytotoxicity of waste water in the future.

cell biology↗

bioRxiv2019

Long-term absence of Langerhans cells alters the gene expression profile of keratinocytes and dendritic epidermal T cells

Tissue-resident and infiltrating immune cells are continuously exposed to molecules derived from the niche cells that often come in form of secreted factors, such as cytokines. These factors are known to impact the immune cells biology. However, very little is known about whether the tissue resident immune cells in return also affect the local environment. In this study, with the help of RNA-sequencing, we show for the first time that long-term absence of epidermal resident Langerhans cells (LCs) led to significant gene expression changes in the local keratinocytes and resident dendritic epidermal T cells. Thus, immune cells might play an active role in maintaining tissue homeostasis, which should be taken in consideration at data interpretation.

immunology↗

bioRxiv2019

Stress induces cytoprotective TDP-43 nuclear bodies through lncRNA NEAT1-promoted phase separation

Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/802058v2_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1963bb9org.highwire.dtl.DTLVardef@2b00eforg.highwire.dtl.DTLVardef@14a7a2forg.highwire.dtl.DTLVardef@9ba973_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights(Up to four bullet points. The length of each highlight cannot exceed 85 characters, including spaces) O_LIStress induces phase-separated TDP-43 NBs to alleviate cytotoxicity C_LIO_LIThe two RRMs interact with different RNAs and act distinctly in the assembly of TDP-43 NBs C_LIO_LILncRNA NEAT1 promotes TDP-43 LLPS and is upregulated in stressed neurons C_LIO_LIThe ALS-causing D169G mutation is NB-defective and forms pTDP-43 cytoplasmic foci C_LI SummaryDespite the prominent role of TDP-43 in neurodegeneration, its physiological and pathological functions are not fully understood. Here, we report an unexpected function of TDP-43 in the formation of dynamic, reversible, liquid droplet-like nuclear bodies (NBs) in response to stress. Formation of NBs alleviates TDP-43-mediated cytotoxicity in mammalian cells and fly neurons. Super-resolution microscopy reveals a "core-shell" organization of TDP-43 NBs, antagonistically maintained by the two RRMs. TDP-43 NBs are partially colocalized with nuclear paraspeckles, whose scaffolding lncRNA NEAT1 is dramatically upregulated in stressed neurons. Moreover, increase of NEAT1 promotes TDP-43 liquid-liquid phase separation (LLPS) in vitro. Finally, we uncover that the ALS-associated mutation D169G impairs the NEAT1-mediated TDP-43 LLPS and NB assembly, causing excessive cytoplasmic translocation of TDP-43 to form stress granules that become phosphorylated TDP-43 cytoplasmic foci upon prolonged stress. Together, our findings suggest a stress-mitigating role and mechanism of TDP-43 NBs, whose dysfunction may be involved in ALS pathogenesis.

neuroscience↗

bioRxiv2019

scCancer: a package for automated processing of single cell RNA-seq data in cancer

SummaryMolecular heterogeneities bring great challenges for cancer diagnosis and treatment. Recent advance in single cell RNA-sequencing (scRNA-seq) technology make it possible to study cancer transcriptomic heterogeneities at single cell level. Here, we develop an R package named scCancer which focuses on processing and analyzing scRNA-seq data for cancer research. Except basic data processing steps, this package takes several special considerations for cancer-specific features. Firstly, the package introduced comprehensive quality control metrics. Secondly, it used a data-driven machine learning algorithm to accurately identify major cancer microenvironment cell populations. Thirdly, it estimated a malignancy score to classify malignant (cancerous) and non-malignant cells. Then, it analyzed intra-tumor heterogeneities by key cellular phenotypes (such as cell cycle and stemness) and gene signatures. Finally, a user-friendly graphic report was generated for all the analyses.\n\nAvailabilityhttp://lifeome.net/software/sccancer/.\n\nContactjgu@tsinghua.edu.cn

bioinformatics↗

bioRxiv2019

Conformational Dynamics of Nonenveloped Circovirus Capsid to the Host Cell Receptor

Circovirus, comprising one capsid protein, is the smallest nonenveloped virus and induces lymphopenia. Circovirus can be used to explore the cell adhesion mechanism of nonenveloped viruses. We developed a single-molecule fluorescence resonance energy transfer (smFRET) assay to directly visualize the capsids conformational feature. The capsid underwent reversible dynamic transformation between three conformations. The cell surface receptor heparan sulfate (HS) altered the dynamic equilibrium of the capsid to the high-FRET state, revealing the HS binding region. Neutralizing antibodies restricted capsid transition to a low-FRET state, masking the HS binding domain. The lack of positively charged amino acids in the HS binding site reduced cell surface affinity and attenuated virus infectivity via conformational changes. These intrinsic characteristics of the capsid suggested that conformational dynamics is critical for the structural changes occurring upon cell surface receptor binding, supporting a dynamics-based mechanism of receptor binding.\n\nImportanceViral proteins were commom working as ligand to interacte with cell surface glycosaminoglycan receptors to achieve the virus attachment, during which the conformational dynamics of the protein ligand are also vital for the binding properties. In this study, PCV2 capsid and heparin sulfate were used to study the protein conformational dynamics of nonenveloped and icosahedral circovirus capsid during triggering to cell surface receptor. we demonstrated the PCV2 capsid could acts as a dynamic machine, spontaneously adopting multiple conformations with reversible interconversion and intrinsic conformational features could be regulated by glycosaminoglycan receptors and neutralizing antibodies. These increased our understanding of the mechanism by which nonenveloped virus attach to cells.

microbiology↗

bioRxiv2019

Validation of a CRISPR/cas9-based technology platform for examining specific immune gene functions in an experimental murine model of IBD

Inflammatory bowel diseases (IBD) are complex, multifactorial disorders characterized by chronic relapsing intestinal inflammation. Association studies have identified hundreds of genes that are linked to IBD and potentially regulate its pathology. The further dissection of the genetic network underlining IBD pathogenesis and pathophysiology is hindered by the limited capacity to investigate the role of each GWAS association through functional studies, including the generation of knockout animal models for each of the associated genes. The CRISPR/Cas9 system represents a cutting edge technology which has the potential to transform the field of IBD research by facilitating the introduction of genetic alterations in an efficient and effective manner. Using the CD40-mediated-colitis model, our results demonstrate the validity of a CRISPR/Cas9-based platform as a tool for the validation of target genes or interference strategies in experimental IBD. The utilization of this discovery strategy will allow for the timely in vivo validation of therapeutic targets as the rapidly emerge from current genetic and genomics efforts with human disease tissue. As such, the CRISPR/Cas9-based platform can significantly shorten the time span between target identification and generation of proof of principle experiments for drug discovery.

immunology↗

bioRxiv2019

Translational control of Bcl-2 promotes apoptosis of gastric carcinoma cells

Aberrantly expressed microRNAs (miRNAs) are essential for the tumorigenesis of gastric carcinoma (GC). Nevertheless, an effect of miR-383 on GC cells apoptosis has not been acknowledged previously. Here, we investigated the miR-383 level and anti-apoptotic protein Bcl-2 level in specimens of GC. Bioinformatics analyses was performed, and assay of luciferase-reporter was used for analyzing the relationship between Bcl-2 and miR-383. We analyzed survival of GC cells upon Fluorouracil treatment in an assay of CCK, and measured apoptosis of cells using flow cytometric FITC Annexin V apoptosis detection assay. The level of miR-383 was found extremely lower while the level of Bcl-2 levels was found extremely higher in GC specimens, in comparison with tissue from the adjacent non-tumor region. Additionally, the miR-383 level and Bcl-2 level inversely correlated in specimens of GC. In comparison with miR-383-high subjects, MiR-383-low subjects showed overall lower survival. Bioinformatics analyses revealed that miR-383 targeted the 3-UTR of Bcl-2 mRNA to restrain its translation, demonstrated in a luciferase reporter assay. MiR-383 overexpression inhibited the Bcl-2-mediated survival of cell against apoptosis induced by Fluorouracil, while miR-383 depletion enhanced the cell survival. Together, these data indicate that suppression of miR-383 in GC improves the Bcl-2-mediated cell survival of GC against the chemotherapy-induced cell death. MiR-383 re-expression in cells of GC might augment apoptosis of GC cells during chemotherapy.

cancer biology↗

bioRxiv2019

A Pandas complex adapted for piRNA-guided transposon silencing

The repression of transposons by the Piwi-interacting RNA (piRNA) pathway is essential to protect animal germ cells. In Drosophila ovaries, Panoramix (Panx) enforces transcriptional silencing by binding to the target-engaged Piwi-piRNA complex, although the precise mechanisms by which this occurs remain elusive. Here, we show that Panx functions together with a germline specific paralogue of a nuclear export factor, dNxf2, and its cofactor dNxt1 (p15), as a ternary complex to suppress transposon expression. Structural and functional analyses demonstrate that dNxf2 binds Panx via its UBA domain, which plays an important role in transposon silencing. Unexpectedly, dNxf2 interacts directly with dNxf1 (TAP), a general nuclear export factor. As a result, dNxf2 prevents dNxf1 from binding to the FG repeats of the nuclear pore complex, a process required for proper RNA export. Transient tethering of dNxf2 to nascent transcripts leads to their nuclear retention. Therefore, we propose that dNxf2 may function as a Pandas (Panoramix-dNxf2 dependent TAP/p15 silencing) complex, which counteracts the canonical RNA exporting machinery and restricts transposons to the nuclear peripheries. Our findings may have broader implications for understanding how RNA metabolism modulates epigenetic gene silencing and heterochromatin formation.

molecular biology↗

bioRxiv2019

An integrative analysis of GWAS and intermediate molecular trait data reveals common molecular mechanisms supporting genetic similarity between seemingly unrelated complex traits

The rapid accumulation of Genome Wide Association Studies (GWAS) and association studies of intermediate molecular traits provides new opportunities for comparative analysis of the genetic basis of complex human phenotypes. Using a newly developed statistical framework called Sherlock-II that integrates GWAS with eQTL (expression Quantitative Trait Loci) and metabolite-QTL data, we systematically analyzed 445 GWAS datasets, and identified 1371 significant gene-phenotype associations and 308 metabolites-phenotype associations (passing a Q value cutoff of 1/3). This integrative analysis allows us to translate SNP-phenotype associations into functionally informative gene-phenotype association profiles. Genetic similarity analyses based on these profiles clustered phenotypes into sub-trees that reveal both expected and unexpected relationships. We employed a statistical approach to delineate sets of functionally related genes that contribute to the similarity between their association profiles. This approach suggested common molecular mechanisms that connect the phenotypes in a subtree. For example, we found that fasting insulin, fasting glucose, breast cancer, prostate cancer, and lung cancer clustered into a subtree, and identified cyclic AMP/GMP signaling that connects breast cancer and insulin, NAPDH oxidase/ROS generation that connects the three cancers, and apoptosis that connects all five phenotypes. Our approach can be used to assess genetic similarity and suggest mechanistic connections between phenotypes. It has the potential to improve the diagnosis and treatment of a disease by mapping mechanistic insights from one phenotype onto others based on common molecular underpinnings.

genetics↗

bioRxiv2018

gencore: an efficient tool to generate consensus reads for error suppressing and duplicate removing of NGS data

BackgroundRemoving duplicates might be considered as a well-resolved problem in next-generation sequencing (NGS) data processing domain. However, as NGS technology gains more recognition in clinical applications (i.e. cancer testing), researchers start to pay more attention to its sequencing errors, and prefer to remove these errors while performing deduplication operations. Recently, a new technology called unique molecular identifier (UMI) has been developed to better identify sequencing reads derived from different DNA fragments. Most existing duplicate removing tools cannot handle the UMI-integrated data. Some modern tools can work with UMIs, but are usually slow and use too much memory, making them not suitable for cloud-based deployment. Furthermore, existing tools rarely report rich statistical results, which are very important for quality control and downstream analysis. These unmet requirements drove us to develop an ultra-fast, simple, little-weighted but powerful tool for duplicate removing and sequence error suppressing, with features of handling UMIs and reporting informative results.\n\nResultsThis paper presents an efficient tool gencore for duplicate removing and sequence error suppressing of NGS data. This tool clusters the mapped sequencing reads and merges reads in each cluster to generate one single consensus read. While the consensus read is generated, the random errors introduced by library construction and sequencing can be removed. This error-suppressing feature makes gencore very suitable for the application of detecting ultra-low frequency mutations from deep sequencing data. When unique molecular identifier (UMI) technology is applied, gencore can use them to identify the reads derived from same original DNA fragment. gencore reports statistical results in both HTML and JSON formats. The HTML format report contains many interactive figures plotting statistical coverage and duplication information. The JSON format report contains all the statistical results, and is interpretable for downstream programs.\n\nConclusionsComparing to the conventional tools like Picard and SAMtools, gencore greatly reduces the output datas mapping mismatches, which are mostly caused by errors. Comparing to some new tools like UMI-Reducer and UMI-tools, gencore runs much faster, uses less memory, generates better consensus reads and provides simpler interfaces. To our best knowledge, gencore is the only duplicate removing tool that generates both informative HTML and JSON reports. This tool is available at: https://github.com/OpenGene/gencore

bioinformatics↗

bioRxiv2018

SIP: An Interchangeable Pipeline for scRNA-seq Data Processing

Multiple steps of bioinformatics processing are needed to convert the raw scRNA-seq data to information that can be used in downstream analyses and in building cell atlases. Dozens of software packages have been developed and different labs tend to have different preferences on choices of the workflow. Such diversity can cause difficulties in future efforts of aggregating data from multiple labs, and also difficulties for new labs to start in this field. A few pipelines have been developed to help integrating multiple steps into a whole, but the fixed software architecture makes it hard for developers to add new features or exchange parts in the pipeline.\n\nWe presented SIP, a Single-cell Interchangeable Pipeline. It is a one-stop platform for the processing of scRNA-seq data from multiple platforms, and will also support for other types of data like scATAC-seq data. SIP utilizes container technology to solve the deployment dilemma when handling multiple packages and provides an easy-to-use interface for users to conduct the complicated multi-step process from raw data to final results with a single command. It also allows advanced users to assemble different versions of the pipeline by interchanging parts or adding new modules. SIP is available at https://github.com/XuegongLab/SIP under the GPL-3.0 license.

bioinformatics↗

bioRxiv2018

KRAB Zinc Finger Proteins coordinate across evolutionary time scales to battle retroelements

KRAB Zinc Finger Proteins (KZNFs) are the largest and fastest evolving family of human transcription factors1,2. The evolution of this protein family is closely linked to the tempo of retrotransposable element (RTE) invasions, with specific KZNF family members demonstrated to transcriptionally repress specific families of RTEs3,4. The competing selective pressures between RTEs and the KZNFs results in evolutionary arms races whereby KZNFs evolve to recognize RTEs, while RTEs evolve to escape KZNF recognition5. Evolutionary analyses of the primate-specific RTE family L1PA and two of its KZNF binders, ZNF93 and ZNF649, reveal specific nucleotide and amino changes consistent with an arms race scenario. Our results suggest a model whereby ZNF649 and ZNF93 worked together to target independent motifs within the L1PA RTE lineage. L1PA elements eventually escaped the concerted action of this KZNF \"team\" over [~]30 million years through two distinct mechanisms: a slow accumulation of point mutations in the ZNF649 binding site and a rapid, massive deletion of the entire ZNF93 binding site.

evolutionary biology↗

bioRxiv2018

PARylation modulates stress granule assembly, phase separation, and neurotoxicity of ALS-related RNA-binding proteins

Mutations in RNA-binding proteins localized in ribonucleoprotein (RNP) granules, such as hnRNP A1 and TDP-43, promote aberrant protein aggregations, which are pathological hallmarks in neurodegenerative diseases including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Protein posttranslational modifications (PTMs) are known to regulate RNP granules. In this study, we investigate the function of PARylation, an important PTM involved in DNA damage repair and cell death, in RNP-related neurodegeneration. We reveal that PARylation levels are a major regulator of the dynamic assembly-disassembly of RNP granules, and the disease-related RNPs such as hnRNP A1 and TDP-43 can both be PARylated and bind to PARylated proteins. We further identify the PARylation site of hnRNP A1 at K298, which controls the cytoplasmic translocation of hnRNP A1 in response to stress, as well as the PAR-binding motif (PBM) of hnRNP A1, which is required for the delivery and association of hnRNP A1 to stress granules. Moreover, we show that PAR not only dramatically enhances the liquid-liquid phase separation of hnRNP A1, but also promotes the co-phase separation of hnRNP A1 and TDP-43 in vitro and their interaction in vivo. Finally, we establish that both genetic and pharmacological inhibition of PARP mitigates hnRNP A1 and TDP-43-mediated neurotoxicity in cell and Drosophila models of ALS. Together, our findings indicate a novel and crucial role of PARylation in regulating the assembly and the dynamics of RNP granules, and dysregulation of PARylation may contribute to ALS disease pathogenesis.

neuroscience↗