Biology subjects

Lee, J. Y.

Publications and source records attributed to Lee, J. Y..

At least 55 records · Page 3Linked to original sources

bioRxiv2022

Systematic analysis of YFP gene traps reveals common discordance between mRNA and protein across the nervous system

While post-transcriptional control is thought to be required at the periphery of neurons and glia, its extent is unclear. Here, we investigate systematically the spatial distribution and expression of mRNA at single molecule sensitivity and their corresponding proteins of 200 YFP trap protein trap lines across the intact Drosophila nervous system. 98% of the genes studied showed discordance between the distribution of mRNA and the proteins they encode in at least one region of the nervous system. These data suggest that post-transcriptional regulation is very common, helping to explain the complexity of the nervous system. We also discovered that 68.5% of these genes have transcripts present at the periphery of neurons, with 9.5% at the glial periphery. Peripheral transcripts include many potential new regulators of neurons, glia and their interactions. Our approach is applicable to most genes and tissues and includes powerful novel data annotation and visualisation tools for post-transcriptional regulation. Brief outlineA novel high resolution and sensitive approach to systematically co-visualise the distribution of mRNAs and proteins in the intact nervous system reveals that post-transcriptional regulation of gene expression is very common. The rich data landscape is provided as a browsable resource (link), using Zegami, a cloud-based data exploration platform (link). Our solution provides a paradigm for the characterisation of post-transcriptional regulation of most genes and model systems. HighlightsO_LI196/200 (98%) Drosophila genes show discordant RNA and protein expression in at least one nervous system region C_LIO_LI137/200 (68.5%) mRNAs are present in at least one synaptic compartment C_LIO_LINovel localised mRNA and protein discovered in periphery of glial processes C_LIO_LINew paradigm for analysis of post-transcriptional regulation and data exploration C_LI

cell biology↗

bioRxiv2022

Uncovering the hologenomic basis of an extraordinary plant invasion

While invasive species are a key driver of the global biodiversity crisis, the drivers of invasiveness remain debated. To investigate the genomic basis of invasiveness in plants, we use the invasive weed Ambrosia artemisiifolia, introduced to Europe in the late 19th century, resequencing 655 ragweed genomes, including 308 herbarium specimens collected up to 190 years ago. In introduced European populations, we report selection signatures in defense genes and lower prevalence of particular plant pathogens in the invasive range. Together with temporal changes in population structure associated with introgression from closely related Ambrosia species, escape from microbial enemies likely favoured the plants remarkable success as an invasive species. One-Sentence SummaryThe invasive success of European ragweed was facilitated by release from enemy microbes and inter-species hybridization.

genomics↗

bioRxiv2021

The omega-3-fatty acid docosahexaenoic acid modulates intracellular myo-inositol and its biosynthetic genes.

Bipolar disorder is a debilitating mood disorder characterized by recurring episodes of mania and depression. It affects 2.6% of adults and has a lifetime prevalence among adults of 3.9%. Current mood stabilizers are not always effective and/or are not well tolerated by many patients; thus, there is a need to develop or identify more effective and less harmful treatments. Omega-3-fatty acids have been shown to be effective in the treatment of bipolar disorder; however, their mechanism of action is unknown. Myo-inositol depletion has been hypothesized as the mechanism by which mood stabilizers exert their therapeutic effect. Using an enzymatic assay, we determined intracellular myo-inositol levels increased more than 2-fold when cells were grown in the presence of the omega-3 fatty acid docosahexaenoic acid (DHA). RT-qPCR was used to characterize the effects of DHA on genes in the myo-inositol biosynthetic pathway. We show DHA increases relative expression and has a concentration-dependent impact on INO1 and INM1, which encode myo-inositol-1-phosphate synthase and myo-inositol monophosphate 1-phosphatase, respectively. We therefore conclude that the omega-3-fatty acid DHA exerts its therapeutic effect on bipolar disorder by increasing intracellular myo-inositol, which may be accomplished by upregulating its biosynthetic genes.

molecular biology↗

bioRxiv2021

Microbiota induces aging-related leaky gut and inflammation by dampening mucin barriers and butyrate-FFAR2/3 signaling

Increased chronic inflammation is one of the key risk factors of aging-related disorders although its precise etiology remains elusive. Here, we demonstrate that aged, but not young, microbiota triggers inflammation by promoting gut permeability (leaky gut) via disruption of mucus barriers. Levels of the beneficial short-chain fatty acid, butyrate, are suppressed in the aged gut. Consistent with feedback regulation, the expression of butyrate-sensing receptors, free fatty acid receptor 2/3 (FFAR2/3), are also reduced in aged gut. Butyrate treatment of aged mice revereses the reduced mucin production, increased gut permeability and inflammation associated with low butyrate levels. In agreement, intestine-specific FFAR2/3 knockout mice manifest a compromised gut phenotype typically seen in aged mice,, such as increased gut permeability and inflammation with reduced mucin production. Taken together, our results demonstrate that an aged gut microbiota causally instigates inflammation by increasing gut permeability due to reduced butyrate levels, FFAR2/3 expression, and mucin barriers. Thus, butyrate-FFAR2/3 agonism could ameliorate the deleterious effects seen in aged gut and their implications on metabolic health.

physiology↗

bioRxiv2021

Absolute quantitation of individual SARS-CoV-2 RNA molecules: a new paradigm for infection dynamics and variant differences

Despite an unprecedented global research effort on SARS-CoV-2, early replication events remain poorly understood. Given the clinical importance of emergent viral variants with increased transmission, there is an urgent need to understand the early stages of viral replication and transcription. We used single molecule fluorescence in situ hybridisation (smFISH) to quantify positive sense RNA genomes with 95% detection efficiency, while simultaneously visualising negative sense genomes, sub-genomic RNAs and viral proteins. Our absolute quantification of viral RNAs and replication factories revealed that SARS-CoV-2 genomic RNA is long-lived after entry, suggesting that it avoids degradation by cellular nucleases. Moreover, we observed that SARS-CoV-2 replication is highly variable between cells, with only a small cell population displaying high burden of viral RNA. Unexpectedly, the B.1.1.7 variant, first identified in the UK, exhibits significantly slower replication kinetics than the Victoria strain, suggesting a novel mechanism contributing to its higher transmissibility with important clinical implications. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/450133v2_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@10f7bf1org.highwire.dtl.DTLVardef@192214dorg.highwire.dtl.DTLVardef@c84916org.highwire.dtl.DTLVardef@1366287_HPS_FORMAT_FIGEXP M_FIG C_FIG In briefBy detecting nearly all individual SARS-CoV-2 RNA molecules, we quantified viral replication and defined cell susceptibility to infection. We discovered that a minority of cells show significantly elevated viral RNA levels and observed slower replication kinetics for the Alpha variant relative to the Victoria strain. Highlights O_LISingle molecule quantification of SARS-CoV-2 replication uncovers early infection kinetics C_LIO_LIThere is substantial heterogeneity between cells in rates of SARS-CoV-2 replication C_LIO_LIGenomic RNA is stable and persistent during the initial stages of infection C_LIO_LIB.1.1.7 variant replicates more slowly than the Victoria strain C_LI

microbiology↗

bioRxiv2021

An intranasal ASO therapeutic targeting SARS-CoV-2

The COVID-19 pandemic is exacting an increasing toll worldwide, with new SARS-CoV-2 variants emerging that exhibit higher infectivity rates and that may partially evade vaccine and antibody immunity1. Rapid deployment of non-invasive therapeutic avenues capable of preventing infection by all SARS-CoV-2 variants could complement current vaccination efforts and help turn the tide on the COVID-19 pandemic2. Here, we describe a novel therapeutic strategy targeting the SARS-CoV-2 RNA using locked nucleic acid antisense oligonucleotides (LNA ASOs). We identified an LNA ASO binding to the 5 leader sequence of SARS-CoV-2 ORF1a/b that disrupts a highly conserved stem-loop structure with nanomolar efficacy in preventing viral replication in human cells. Daily intranasal administration of this LNA ASO in the K18-hACE2 humanized COVID-19 mouse model potently (98-99%) suppressed viral replication in the lungs of infected mice, revealing strong prophylactic and treatment effects. We found that the LNA ASO also represses viral infection in golden Syrian hamsters, and is highly efficacious in countering all SARS-CoV-2 "variants of concern" tested in vitro and in vivo, including B.1.427, B.1.1.7, and B.1.351 variants3. Hence, inhaled LNA ASOs targeting SARS-CoV-2 represents a promising therapeutic approach to reduce transmission of variants partially resistant to vaccines and monoclonal antibodies, and could be deployed intranasally for prophylaxis or via lung delivery by nebulizer to decrease severity of COVID-19 in infected individuals. LNA ASOs are chemically stable and can be flexibly modified to target different viral RNA sequences4, and they may have particular impact in areas where vaccine distribution is a challenge, and could be stockpiled for future coronavirus pandemics.

microbiology↗

bioRxiv2021

SCOUR: A stepwise machine learning framework for predicting metabolite-dependent regulatory interactions

BackgroundThe topology of metabolic networks is both well-studied and remarkably well-conserved across many species. The regulation of these networks, however, is much more poorly characterized, though it is known to be divergent across organisms - two characteristics that make it difficult to model metabolic networks accurately. While many computational methods have been built to unravel transcriptional regulation, there have been few approaches developed for systems-scale analysis and study of metabolic regulation. Here, we present a stepwise machine learning framework that applies established algorithms to identify regulatory interactions in metabolic systems based on metabolic data: Stepwise Classification Of Unknown Regulation, or SCOUR. ResultsWe evaluated our framework on both noiseless and noisy data, using several models of varying sizes and topologies to show that our approach is generalizable. We found that, when testing on data under the most realistic conditions (low sampling frequency and high noise), SCOUR could identify reaction fluxes controlled only by the concentration of a single metabolite (its primary substrate) with high accuracy. The positive predictive value (PPV) for identifying reactions controlled by the concentration of two metabolites ranged from 32-88% for noiseless data, 9.2-49% for either low sampling frequency/low noise or high sampling frequency/high noise data, and 6.6-27% for low sampling frequency/high noise data, with results typically sufficiently high for lab validation to be a practical endeavor. While the PPVs for reactions controlled by three metabolites were lower, they were still in most cases significantly better than random classification. ConclusionsSCOUR uses a novel approach to synthetically generate the training data needed to identify regulators of reaction fluxes in a given metabolic system, enabling metabolomics and fluxomics data to be leveraged for regulatory structure inference. By identifying and triaging the most likely candidate regulatory interactions, SCOUR can drastically reduce the amount of time needed to identify and experimentally validate metabolic regulatory interactions. As high-throughput experimental methods for testing these interactions are further developed, SCOUR will provide critical impact in the development of predictive metabolic models in new organisms and pathways.

bioinformatics↗

bioRxiv2021

Improved constraints increase the predictivity and applicability of a linear programming-based dynamic metabolic modeling framework

Current metabolic modeling tools suffer from a variety of limitations, from scalability to simplifying assumptions, that preclude their use in many applications. We recently created a modeling framework, LK-DFBA, that addresses a key gap: capturing metabolite dynamics and regulation while retaining a potentially scalable linear programming structure. Key to this frameworks success are the linear kinetics and regulatory constraints imposed on the system. However, while the linearity of these constraints reduces computational complexity, it may not accurately capture the behavior of many biochemical systems. Here, we developed three new classes of LK-DFBA constraints to better model interactions between metabolites and the reactions they regulate. We tested these new approaches on several synthetic and biological systems, and also performed the first-ever comparison of LK-DFBA predictions to experimental data. We found that no single constraint approach was optimal across all systems examined, and systems with the same topological structure but different parameters were often best modeled by different types of constraints. However, we did find that the optimal constraint approach was generally robust to local perturbations of the system, indicating that just a single wild-type dataset could allow identification of the ideal constraint for a given system. These results suggest that the availability of multiple constraint approaches will allow LK-DFBA to model a wider range of metabolic systems.

systems biology↗

bioRxiv2021

Leveraging the mass balances of cellular metabolism to infer absolute concentrations from relative abundance metabolomics data

MotivationAs the large-scale study of metabolites and a direct readout of a systems metabolic state, metabolomics has significant appeal as a source of information for many metabolic modelling platforms and other metabolic analysis tools. However, metabolomics data are typically reported in terms of relative abundances, which precluding use with tools where absolute concentrations are necessary. While chemical standards can be used to determine the absolute concentrations of metabolites, they are often time-consuming to run, expensive, or unavailable for many metabolites. A computational framework that can infer absolute concentrations without the use of chemical standards would be highly beneficial to the metabolomics community. ResultsWe have developed and characterized MetaboPAC, a computational strategy that leverages the mass balances of a system to infer absolute concentrations in metabolomics datasets. MetaboPAC uses a kinetic equations approach and an optimization approach to predict the most likely response factors that describe the relationship between absolute concentrations and their relative abundances. We determined that MetaboPAC performed significantly better than the other approaches assessed on noiseless data when at least 60% of kinetic equations are known a priori. Under the most realistic conditions (low sampling frequency, high noise data), MetaboPAC significantly outperformed other methods in the majority of cases when 100% of the kinetic equations were known. For metabolomics datasets extracted from systems that are well-studied and have partially known kinetic structures, MetaboPAC can provide valuable insight about their absolute concentration profiles.

systems biology↗

bioRxiv2021

MSH2-MSH3 promotes DNA end resection during HR and blocks TMEJ through interaction with SMARCAD1 and EXO1

DNA double strand break (DSB) repair by Homologous recombination (HR) is initiated by the end resection, a process during which 3 ssDNA overhangs are generated by the nucleolytic degradation. The extent of DNA end resection determines the choice of the DSB repair pathway. The role of several proteins including nucleases for end resection has been studied in detail. However, it is still unclear how the initial, nicked DNA generated by MRE11-RAD50-NBS1 is recognized and how subsequent proteins including EXO1 are recruited to DSB sites to facilitate extensive end resection. We found that the MutS{beta} (MSH2-MSH3) mismatch repair (MMR) complex is recruited to DSB sites by recognizing the initial nicked DNA at DSB sites through the interaction with the chromatin remodeling protein SMARCAD1. MSH2-MSH3 at DSB sites helps to recruit EXO1 for long-range resection and enhances its enzymatic activity. MSH2-MSH3 furthermore inhibits the access of DNA polymerase {theta} (POLQ), which promotes polymerase theta-mediated end-joining (TMEJ) of DSB. Collectively, our data show a direct role for MSH2-MSH3 in the initial stages of DSB repair by promoting end resection and influencing DSB repair pathway by favoring HR over TMEJ. Our findings extend the importance of MMR in DSB repair beyond established role in rejecting the invasion of sequences not perfectly homologous to template DNA during late-stage HR.

molecular biology↗

bioRxiv2021

Strain variation in Bacillus cereus biofilms and their susceptibility to extracellular matrix-degrading enzymes

Bacillus cereus is a foodborne pathogen and can form biofilms on food contact surfaces, which causes food hygiene problems. While it is necessary to understand strain-dependent variation to effectively control these biofilms, strain-to-strain variation in the structure of B cereus biofilms is poorly understood. In this study, B. cereus strains from tatsoi and the ATCC 10987 reference strain were incubated at 30{degrees}C to form biofilms in the presence of the extracellular matrix-degrading enzymes DNase I, proteinase K, dispase II, cellulase, amyloglucosidase, and -amylase to assess the susceptibility to these enzymes. The four strains exhibited four different patterns in terms of biofilm susceptibility to the enzymes as well as morphology of surface-attached biofilms or suspended cell aggregates. DNase I inhibited the biofilm formation of strains ATCC 10987 and BC4 but not of strains BC10 and BC72. This result suggests that some strains may not have extracellular DNA, or their extracellular DNA may be protected in their biofilms. In addition, the strains exhibited different patterns of susceptibility to protein- and carbohydrate-degrading enzymes. While other strains were resistant, strains ATCC 10987 and BC4 were susceptible to cellulase, suggesting that cellulose or its similar polysaccharides may exist and play an essential role in their biofilm formation. Our compositional analysis of strains ATCC 10987 and BC4 suggested that the physicochemical properties of their biofilms are distinct, as calculated by the carbohydrate to protein ratio. Taken together, our study suggests that the extracellular matrix of B. cereus biofilms may be highly diverse and provides insight into the diverse mechanisms of biofilm formation among B. cereus strains.

microbiology↗

bioRxiv2020

Dorsal Periaqueductal gray ensembles represent approach and avoidance states

Animals must balance needs to approach threats for risk-assessment and to avoid danger. The dorsal periaqueductal gray (dPAG) controls defensive behaviors, but it is unknown how it represents states associated with threat approach and avoidance. We identified a dPAG threat-avoidance ensemble in mice that showed higher activity far from threats such as the open arms of the elevated plus maze and a live predator. These cells were also more active during threat-avoidance behaviors such as escape and freezing, even though these behaviors have antagonistic motor output. Conversely, the threat-approach ensemble was more active during risk-assessment behaviors and near threats. Furthermore, unsupervised methods showed approach/avoidance states were encoded with shared activity patterns across threats. Lastly, the relative number of cells in each ensemble predicted threat-avoidance across mice. Thus, dPAG ensembles dynamically encode threat approach and avoidance states, providing a flexible mechanism to balance risk-assessment and danger avoidance.

neuroscience↗

bioRxiv2020

Age- and Sex-Specific Fear Conditioning Deficits in Mice Lacking Pcdh10, an Autism Associated Gene

PCDH10 is a gene associated with Autism Spectrum Disorder. It is involved in the growth of thalamocortical projections and dendritic spine elimination. Previously, we characterized mice Pcdh10 haploinsufficient mice (Pcdh10+/- mice) and found male-specific social deficits that are rescued by N-methyl-D-aspartate receptor (NMDAR) partial agonist d-cycloserine, increased ultrasonic vocalizations in pups, and dark phase hypoactivity. In addition, we determined that the basolateral amygdala (BLA) of these mice exhibited increased dendritic spine density of immature morphology, decreased NMDAR expression, and decreased gamma synchronization. Here, we further characterize Pcdh10+/- mice by testing for fear memory, which relies upon BLA function. We used both male and female Pcdh10+/- mice and their wild-type littermates at two ages, juvenile and adult, and in two learning paradigms, cued and contextual fear conditioning. We found that males at both ages and in both assays exhibited fear conditioning deficits, but females were only impaired as adults in the cued condition. These data are further evidence for male-specific alterations in BLA-related behaviors in Pcdh10+/- mice, and suggest that these mice may be a useful model for dissecting male specific brain and behavioral phenotypes relevant to social and emotional behaviors.

neuroscience↗

bioRxiv2020

Spatiotemporal contribution of neuromesodermal progenitor-derived neural cells in the elongation of developing mouse spinal cord

During vertebrate development, the posterior end of the embryo progressively elongates in a head-to-tail direction to form the body plan. Recent lineage tracing experiments revealed that bi-potent progenitors, called neuromesodermal progenitors (NMPs), produce caudal neural and mesodermal tissues during axial elongation. However, their precise location and contribution to spinal cord development remain elusive. Here we used NMP-specific markers (Sox2 and BraT) and a genetic lineage tracing system to localize NMP progeny in vivo. NMPs were initially located at the tail tip, but were later found in the caudal neural tube, which is a unique feature of mouse development. In the neural tube, they produced neural stem cells (NSCs) and contributed to the spinal cord gradually along the AP axis during axial elongation. Interestingly, NMP-derived NSCs preferentially contributed to the ventral side first and later to the dorsal side at the lumbar spinal cord level, which may be associated with atypical junctional neurulation in mice. Our current observations detail the contribution of NMP progeny to spinal cord elongation and provide insights into how different species uniquely execute caudal morphogenesis.

developmental biology↗

bioRxiv2020

Validation of a Single-step, Single-tube Reverse Transcription-Loop-Mediated Isothermal Amplification Assay for Rapid Detection of SARS-CoV-2 RNA

2.IntroductionThe SARS-CoV-2 pandemic of 2020 has resulted in unparalleled requirements for RNA extraction kits and enzymes required for virus detection, leading to global shortages. This has necessitated the exploration of alternative diagnostic options to alleviate supply chain issues. AimTo establish and validate a reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay for the detection of SARS-CoV-2 from nasopharyngeal swabs. MethodologyWe used a commercial RT-LAMP mastermix from OptiGene Ltd in combination with a primer set designed to detect the CDC N1 region of the SARS-CoV-2 nucleocapsid (N) gene. A single-tube, single-step fluorescence assay was implemented whereby as little as 1 L of universal transport medium (UTM) directly from a nasopharyngeal swab could be used as template, bypassing the requirement for RNA purification. Amplification and detection could be conducted in any thermocycler capable of holding 65{degrees}C for 30 minutes and measure fluorescence in the FAM channel at one-minute intervals. ResultsAssay evaluation by assessment of 157 clinical specimens previously screened by E-gene RT-qPCR revealed assay sensitivity and specificity of 87% and 100%, respectively. Results were fast, with an average time-to-positive (Tp) for 93 clinical samples of 14 minutes (SD {+/-}7 minutes). Using dilutions of SARS-CoV-2 virus spiked into UTM, we also evaluated assay performance against FDA guidelines for implementation of emergency-use diagnostics and established a limit-of-detection of 54 Tissue Culture Infectious Dose 50 per ml (TCID50 mL-1), with satisfactory assay sensitivity and specificity. A comparison of 20 clinical specimens between four laboratories showed excellent interlaboratory concordance; performing equally well on three different, commonly used thermocyclers, pointing to the robustness of the assay. ConclusionWith a simplified workflow, N1-STOP-LAMP is a powerful, scalable option for specific and rapid detection of SARS-CoV-2 and an additional resource in the diagnostic armamentarium against COVID-19. 3. Data summaryThe authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

microbiology↗

bioRxiv2020

Poly(ADP-ribose) induces α-synuclein aggregation in neuronal-like cells andinteracts with phosphorylated α-synuclein in post mortem PD samples

BackgroundPoly (ADP-ribose) (PAR) is a negatively charged polymer that is biosynthesized by Poly (ADP-ribose) Polymerase-1 (PARP-1) and regulates various cellular processes. Alpha-synuclein (Syn) is an intrinsically disordered protein (IDP) that has been directly implicated with driving the onset and progression of Parkinsons disease (PD). The mechanisms by which Syn elicits its neurotoxic effects remain unclear. Recent findings indicate that one of the key processes driving PD pathology are oligomeric species of Syn. Furthermore, it is well established that the main components of Lewy bodies (LBs) and Lewy neurites (LNs) in PD patients are aggregated hyperphosphorylated (S129) forms of Syn (pSyn). MethodsWe used biochemical and immunofluorescence-based assays to explore if PARP-1 enzymatic product (PAR) drives the conversion of monomeric Syn into aggregated assemblies. We performed quantitative measurements using in situ proximity ligation assays (PLA) on a transgenic murine model of -synucleinopathy (M83-SNCA*A53T) and post-mortem PD/PDD patient samples to characterize PAR-pSyn interactions. Additionally, we used bioinformatic approaches and site-directed mutagenesis to identify PAR-binding regions on fibrillar Syn. ResultsOur studies show that elevated intracellular levels of PAR promote the transition of Syn into higher molecular weight forms. We report that PAR-pSyn interactions are predominant in pathological states. Moreover, we confirm that the interactions between PAR and Syn involve electrostatic forces between negatively charged PAR and lysine residues on the N-terminal region of Syn. ConclusionsPAR plays a critical role in the early stages of monomeric Syn aggregation, thereby attributing to PD pathogenesis. Based on our results, we report that PAR seeds monomeric Syn aggregation and directly interacts with phosphorylated Syn in conditions that are pathologically relevant to PD.

neuroscience↗

bioRxiv2020

Improvement of glymphatic-lymphatic drainage of beta-amyloid by focused ultrasound in Alzheimer's disease model

Drainage of parenchymal waste through the lymphatic system maintains brain homeostasis. Age-related changes of glymphatic-lymphatic clearance lead to the accumulation beta-amyloid (A{beta}) in dementia models. In this study, focused ultrasound treatment in combination with microbubbles (FUS-MB) improved A{beta} drainage in early dementia model mice, 5XFAD. FUS-MB enhanced solute A{beta} clearance from brain, but not plaques, to cerebrospinal fluid (CSF) space and then deep cervical lymph node (dCLN). dCLN ligation exaggerated memory impairment and progress of plaque formation and also the beneficial effects of FUS-MB upon A{beta} removal through CSF-lymphatic routes. In this ligation model, FUS-MB improved memory despite accumulation of A{beta} in CSF. In conclusion, FUS-MB enhances glymphatic-lymphatic clearance of A{beta} mainly by increasing brain-to-CSF A{beta} drainage. We suggest that FUS-MB can delay dementia progress in early period and benefits of FUS-MB depend on the effect of A{beta} disposal through CSF-lymphatics.

neuroscience↗

bioRxiv2019

In vivo CRISPR screening identifies RNF20/40 as epigenetic regulators of cardiomyocyte maturation

Between birth and adulthood cardiomyocytes (CMs) undergo dramatic changes in size, ultrastructure, metabolism, and gene expression, in a process collectively referred to as CM maturation. The transcriptional network that coordinates CM maturation is poorly understood, creating a bottleneck for cardiac regenerative medicine. Forward genetic screens are a powerful, unbiased method to gain novel insights into transcriptional networks, yet this approach has rarely been used in vivo in mammals because of high resource demands. Here we utilized somatic mutagenesis to perform the first reported in vivo CRISPR genetic screen within a mammalian heart. We discovered and validated several novel transcriptional regulators of CM maturation. Among them were RNF20 and RNF40, which form a complex that monoubiquitinates H2B on lysine 120. Mechanistic studies indicated that this epigenetic mark controls dynamic changes in gene expression required for CM maturation. These insights into CM maturation will inform efforts in cardiac regenerative medicine. More broadly, our approach will enable unbiased forward genetics across mammalian organ systems.

genetics↗