Biology subjects

Kim, E.

Publications and source records attributed to Kim, E..

At least 145 records · Page 8Linked to original sources

bioRxiv2021

SMC complexes can traverse physical roadblocks bigger than their ring size

The ring-shaped structural-maintenance-of-chromosomes (SMC) complexes condensin and cohesin extrude loops of DNA as a key motif in chromosome organization. It remains, how ever, unclear how these SMC motor proteins can extrude DNA loops in chromatin that is bound with proteins. Here, using in vitro single-molecule visualization, we show that nucleosomes, RNA polymerase, and dCas9 pose virtually no barrier to DNA loop extrusion by yeast condensin. Strikingly, we find that even DNA-bound nanoparticles as large as 200 nm, much bigger than the SMC ring size, can be translocated into DNA loops during condensin-driven extrusion. Similarly, human cohesin can pass 200 nm particles during loop extrusion, which even occurs for a single-chain version of cohesin in which the ring-forming subunits are covalently linked and cannot open up to entrap DNA. These findings disqualify all common loop-extrusion models where DNA passes through the SMC rings (pseudo)topologically, and instead point to a nontopological mechanism for DNA loop extrusion. One-sentence summaryHuge DNA-bound roadblocks can be incorporated into SMC-extruded DNA loops, pointing to a nontopological mechanism for loop extrusion.

biophysics↗

bioRxiv2021

Neuronal activity drives pathway-specific depolarization of astrocyte distal processes

Astrocytes are glial cells that interact with neuronal synapses via their distal processes, where they remove glutamate and potassium (K+) from the extracellular space following neuronal activity. Astrocyte clearance of both glutamate and K+ is voltage-dependent, but astrocyte membrane potential (Vm) has been thought to be largely invariant. As a result, these voltage-dependencies have not been considered relevant to astrocyte function. Using genetically encoded voltage indicators enabling the measurement of Vm at distal astrocyte processes (DAPs), we report large, rapid, focal, and pathway-specific depolarizations in DAPs during neuronal activity. These activity-dependent astrocyte depolarizations are driven by action potential-mediated presynaptic K+ efflux and electrogenic glutamate transporters. We find that DAP depolarization inhibits astrocyte glutamate clearance during neuronal activity, enhancing neuronal activation by glutamate. This represents a novel class of sub-cellular astrocyte membrane dynamics and a new form of astrocyte-neuron interaction. One Sentence SummaryGenetically encoded voltage imaging of astrocytes shows that presynaptic neuronal activity drives focal astrocyte depolarization, contributing to activity-dependent inhibition of glutamate uptake.

neuroscience↗

bioRxiv2021

Dynamic rewiring of biological activity across genotype and lineage revealed by context-dependent functional interactions

Coessentiality networks derived from CRISPR screens in cell lines provide a powerful framework for identifying functional modules in the cell and for inferring the role of uncharacterized genes. However, these networks integrate signal across all underlying data, and can mask strong interactions that occur in only a subset of the cell lines analyzed. Here we decipher dynamic functional interactions by identifying significant cellular contexts, primarily by oncogenic mutation, lineage, and tumor type, and discovering coessentiality relationships that depend on these contexts. We recapitulate well-known gene-context interactions such as oncogene-mutation, paralog buffering, and tissue-specific essential genes, show how mutation rewires known signal transduction pathways, including RAS/RAF and IGF1R-PIK3CA, and illustrate the implications for drug targeting. We further demonstrate how context-dependent functional interactions can elucidate lineage-specific gene function, as illustrated by the maturation of proreceptors IGF1R and MET by proteases FURIN and CPD. This approach advances our understanding of context-dependent interactions and how they can be gleaned from these data. We provide an online resource to explore these context-dependent interactions at diffnet.hart-lab.org.

systems biology↗

bioRxiv2021

Oxytocin receptor antagonism during song tutoring in zebra finches reduces preference for and learning of the tutor's song

In species with vocal learning, acquiring species-typical vocalizations relies on early social orienting. In zebra finches (Taeniopygia guttata), for example, learning song requires dynamic social interactions with a "tutor" during an early sensitive period. The oxytocin system plays a central role in social orienting across species, yet it is unknown whether this system participates in the attentional and motivational processes that support vocal learning. Here, we tested whether blocking oxytocin receptors during exposure to tutors would impact learning from those tutors. Juvenile, song-naive males were each tutored by two unfamiliar adults. During exposure to one tutor, juveniles were treated with oxytocin receptor antagonist (OTA) and during exposure to the other, saline (control). We found that OTA significantly reduced behaviors associated with approach and attention during tutoring sessions. Next, using an operant assay in which exposure to the two songs was balanced, we found that the juveniles preferred the control song over the OTA song. The developmental trajectory of preference for the control song resembled the pattern shown by father-reared birds choosing to hear their fathers song. Finally, the adult songs of the tutored birds more closely resembled control song than OTA song. The magnitude of this difference was significantly predicted by the early preference for the control song. Overall, oxytocin antagonism during exposure to a tutor seemed to bias juveniles against that tutor and his song. Our results suggest that oxytocin receptors play a role in socially-guided vocal learning in zebra finches, perhaps by affecting attention and motivation during tutoring.

animal behavior and cognition↗

bioRxiv2021

Enhanced negative emotional processing limits behavioral flexibility in a mouse model of autism spectrum disorder

Impaired behavioral flexibility might underlie some of the symptoms associated with autism spectrum disorder (ASD). We investigated whether and how behavioral flexibility is impaired in a mouse model of ASD by testing Shank2-knockout (Shank2-KO) mice in reversal learning. Shank2-KO mice were trained in probabilistic classical conditioning with two odor cues paired with water and air puff. Upon the reversal of cue-outcome contingency, Shank2-KO mice were significantly slower than wild-type mice in reversing their anticipatory licking responses. Shank2-KO mice also showed stronger anticipatory eye closure responses than wild-type mice to the air puff, raising a possibility that the impairment might be because of enhanced negative emotional processing. Indeed, Shank2-KO mice showed intact reversal learning when the strong air puff was replaced with a mild air puff. Shank2-KO mice also showed intact reversal learning between two odor cues predicting rewards with different probabilities. These results indicate that enhanced negative emotional processing suppresses reversal learning despite of intact capability to learn cue-outcome contingency changes in Shank2-KO mice in our behavioral settings. Our findings suggest that behavioral flexibility may be seriously limited by abnormal emotional processing in ASD.

neuroscience↗

bioRxiv2021

The impact of the spatial heterogeneity of resistant cells and fibroblasts on treatment response

A long-standing practice in the treatment of cancer is that of hitting hard with the maximum tolerated dose to eradicate tumors. This continuous therapy, however, selects for resistant cells, leading to the failure of the treatment. A different type of treatment strategy, adaptive therapy, has recently been shown to have a degree of success in both preclinical xenograft experiments and clinical trials. Adaptive therapy is used to maintain a tumors volume by exploiting the competition between drug-sensitive and drug-resistant cells with minimum effective drug doses or timed drug holidays. To further understand the role of competition in the outcomes of adaptive therapy, we developed a 2D on-lattice agent-based model. Our simulations show that the superiority of the adaptive strategy over continuous therapy depends on the local competition shaped by the spatial distribution of resistant cells. Cancer cell migration and increased carrying capacity accelerate the progression of the tumor under both types of treatments by reducing the spatial competition. Intratumor competition can also be affected by fibroblasts, which produce microenvironmental factors that promote cancer cell growth. Our simulations show that the spatial architecture of fibroblasts modulates the benefits of adaptive therapy. Finally, as a proof of concept, we simulated the outcomes of adaptive therapy in multiple metastatic sites composed of different spatial distributions of fibroblasts and drug-resistant cell populations.

cancer biology↗

bioRxiv2021

Dispersed Sleep Microstates and Associated Structural Changes in GBA1 Mouse: Relevance to Rapid Eye Movement Behavior Disorder

Rapid eye movement (REM) sleep behaviour disorder (RBD) is a rare parasomnia that may predict the later occurrence of alpha-synucleinopathies. Variants in the gene encoding for the lysosomal enzyme glucocerebrosidase, GBA, strongly increase the risk of RBD. In a GBA1-mouse model recently shown to mimic prodromal stages of -synucleinopathy, we now demonstrate striking REM and NREM sleep abnormalities accompanied by distinct structural changes in the more widespread sleep neurocircuitry.

neuroscience↗

bioRxiv2021

Condensin-driven loop extrusion on supercoiled DNA

Condensin, a structural maintenance of chromosomes (SMC) complex, has been shown to be a molecular motor protein that organizes chromosomes by extruding loops of DNA. In cells, such loop extrusion is challenged by many potential conflicts, e.g., the torsional stresses that are generated by other DNA-processing enzymes. It has so far remained unclear how DNA supercoiling affects loop extrusion. Here, we use time-lapse single-molecule imaging to study condensin-driven DNA loop extrusion on supercoiled DNA. We find that condensin binding and DNA looping is stimulated by positive supercoiled DNA where it preferentially binds near the tips of supercoiled plectonemes. Upon loop extrusion, condensin collects all nearby plectonemes into a single supercoiled loop that is highly stable. Atomic force microscopy imaging shows that condensin generates supercoils in the presence of ATP. Our findings provide insight into the topology-regulated loading and formation of supercoiled loops by SMC complexes and clarify the interplay of loop extrusion and supercoiling.

biophysics↗

bioRxiv2021

LaminaRGeneVis: a tool to visualize gene expression across the laminar architecture of the human neocortex

Application of RNA sequencing has enabled the characterization of genome-wide gene expression in the human brain, including distinct layers of the neocortex. Neuroanatomically, the molecular patterns that underlie the laminar organization of the neocortex can help link structure to circuitry and function. To advance our understanding of cortical architecture, we created LaminaRGeneVis, a web application that displays across-layer cortical gene expression from multiple datasets. These datasets were collected using bulk, single-nucleus, and spatial RNA sequencing methodologies and these data were harmonized to facilitate comparisons between datasets. The online resource facilitates single- and multi-gene analyses by providing figures and statistics for user-friendly assessment of laminar gene expression patterns in the adult human neocortex. Availability and implementationLaminaRGeneVis is available at https://ethanhkim.shinyapps.io/laminargenevis. The source code and data is accessible at https://github.com/ethanhkim/laminargenevis.

neuroscience↗

bioRxiv2021

Characterization of the ABC methionine transporter from Neisseria meningitidis reveals that MetQ is a lipoprotein

NmMetQ is a substrate binding protein (SBP) from Neisseria meningitidis that has been identified as a surface-exposed candidate antigen for meningococcal vaccines. However, this location for NmMetQ challenges the prevailing view that SBPs in Gram-negative bacteria are localized to the periplasmic space to promote interaction with their cognate ABC transporter embedded in the bacterial inner membrane. To address the roles of NmMetQ, we characterized NmMetQ with and without its cognate ABC transporter (NmMetNI). Here, we show that NmMetQ is a lipoprotein (lipo-NmMetQ) that binds multiple methionine analogs and stimulates the ATPase activity of NmMetNI. Using single-particle electron cryo-microscopy, we determined the structures of NmMetNI in the absence and presence of lipo-NmMetQ. Based on our data, we propose that NmMetQ tethers to membranes via a lipid anchor and has dual function/topology, playing a role in NmMetNI-mediated transport at the inner-membrane in addition to moonlighting functions on the bacterial surface.

biochemistry↗

bioRxiv2021

Stress granules are shock absorbers that prevent excessive innate immune responses to dsRNA

Proper defense against microbial infection depends on the controlled activation of the immune system. This is particularly important for the RIG-I-like receptors (RLRs), which recognize viral dsRNA and initiate antiviral innate immune responses with the potential of triggering systemic inflammation and immunopathology. Here we show that stress granules (SGs), molecular condensates that form in response to various stresses including viral dsRNA, play key roles in controlled activation of RLR signaling. Without the SG nucleators G3BP1/2 and UBAP2L, dsRNA triggers excessive inflammation and immune-mediated apoptosis. In addition to exogenous dsRNA, we find that host-derived dsRNA generated in response to ADAR1 deficiency is also controlled by SG biology. Intriguingly, SGs can function beyond immune control by suppressing viral replication independent of the RLR pathway. These observations thus highlight the multi-functional nature of SGs as cellular "shock absorbers" that converge on protecting cell homeostasis-by dampening both toxic immune response and viral replication.

immunology↗

bioRxiv2021

MRI-derived brain age as a biomarker of ageing in rats: validation using a healthy lifestyle intervention

MRI data can be used as input to machine learning models to accurately predict brain age in healthy human subjects. A large difference between predicted and chronological brain age (the so-called BrainAGE score) has been associated with disease and neurodegeneration, indicating the potential utility of neuroimaging-based ageing biomarkers. So far, most brain age prediction studies have been carried out on humans. However, it is important for such a biomarker to be validated on laboratory animals too, in order to better account for specific environmental or genetic factors within a more controlled laboratory framework. In this work, we developed a new algorithm for rat brain age prediction based on the combination of Gaussian process regression and a logistic regression classifier. The algorithm was trained on a cohort of 31 normal rats. High prediction accuracy was achieved using leave-one-out cross-validation (mean absolute error = 4.87 weeks, correlation between predicted and chronological age r = 0.92), supporting the validity and potential of the method. Furthermore, the trained model was tested on two independent groups of 24 rats each: a new normal control group and a "healthy lifestyle" group that underwent long-term environmental enrichment and dietary restriction (EEDR) between 3 and 17 months of age. After fitting a linear mixed-effects model, the BrainAGE values were found to increase more slowly with chronological age in the EEDR group than in the controls (slope = 0.52 vs. 0.61; p = 0.015 for the interaction term). When survival analysis was performed with a Cox regression model, the BrainAGE score at 5 months of age had a significant prediction power (p = 0.03). Our results demonstrate that BrainAGE, as computed by the proposed approach, is significantly modulated by EEDR intervention, hence it is a sensitive marker of biological ageing. These findings also support the potential of lifestyle-related prevention approaches to slow down the brain ageing process. Moreover, the results of the survival analysis further demonstrate that BrainAGE is indeed a predictor of ageing outcome.

neuroscience↗

bioRxiv2021

Redundant mechanisms driven independently by RUNX1 and GATA2 for hematopoietic development

RUNX1 is essential for the generation of hematopoietic stem cells (HSCs). Runx1 null mouse embryos lack definitive hematopoiesis and die in mid-gestation. However, even though zebrafish embryos with a runx1 W84X mutation have defects in early definitive hematopoiesis, some runx1W84X/W84X embryos can develop to fertile adults with blood cells of multi-lineages, raising the possibility that HSCs can emerge without RUNX1. Here, using three new zebrafish runx1-/- lines we uncovered the compensatory mechanism for runx1-independent hematopoiesis. We show that, in the absence of a functional runx1, a cd41-GFP+ population of hematopoietic precursors still emerge from the hemogenic endothelium and can colonize the hematopoietic tissues of the mutant embryos. Single-cell RNA sequencing of the cd41-GFP+ cells identified a set of runx1-/--specific signature genes during hematopoiesis. Significantly, gata2b, which normally acts upstream of runx1 for the generation of HSCs, was increased in the cd41-GFP+ cells in runx1- /- embryos. Interestingly, genetic inactivation of both gata2b and its paralog, gata2a, did not affect hematopoiesis. However, knocking out runx1 and any three of the four alleles of gata2a and gata2b abolished definitive hematopoiesis. Gata2 expression was also upregulated in hematopoietic cells in Runx1-/- mice, suggesting the compensatory mechanism is conserved. Our findings indicate that RUNX1 and GATA2 serve redundant roles for HSC production, acting as each others safeguard. Key pointsO_LIExistence of RUNX1-independent mechanisms for the generation of HSCs and the development of functional definitive hematopoietic cells C_LIO_LIGATA2 and RUNX1 functionally complement each other for their respective roles during hematopoiesis C_LI

genetics↗

bioRxiv2021

SongExplorer: A deep learning workflow for discovery and segmentation of animal acoustic communication signals

Many animals produce distinct sounds or substrate-borne vibrations, but these signals have proved challenging to segment with automated algorithms. We have developed SongExplorer, a web-browser based interface wrapped around a deep-learning algorithm that supports an interactive workflow for (1) discovery of animal sounds, (2) manual annotation, (3) supervised training of a deep convolutional neural network, and (4) automated segmentation of recordings. Raw data can be explored by simultaneously examining song events, both individually and in the context of the entire recording, watching synced video, and listening to song. We provide a simple way to visualize many song events from large datasets within an interactive low-dimensional visualization, which facilitates detection and correction of incorrectly labelled song events. The machine learning model we implemented displays higher accuracy than existing heuristic algorithms and similar accuracy as two expert human annotators. We show that SongExplorer allows rapid detection of all song types from new species and of novel song types in previously well-studied species.

animal behavior and cognition↗

bioRxiv2021

The neural basis of creative production: A cross-modal ALE meta-analysis

One of the central questions about the cognitive neuroscience of creativity is the extent to which creativity depends on either domain-specific or domain-general mechanisms. To address this question, we carried out two parallel activation likelihood estimation meta-analyses of creativity: 1) a motoric analysis that combined studies across five domains of creative production (verbalizing, music, movement, writing, and drawing), and 2) an analysis of the Alternate Uses divergent-thinking task. All experiments contained a contrast between a creative task and a matched non-creative or less-creative task that controlled for the sensorimotor demands of task performance. The activation profiles of the two meta-analyses were non-overlapping, but both pointed to a domain-specific interpretation in which creative production is, at least in part, an enhancement of sensorimotor brain areas involved in non-creative production. The most concordant areas of activation in the motoric meta-analysis were high-level motor areas such as the pre-supplementary motor area and inferior frontal gyrus that interface motor planning and executive control, suggesting a means of uniting domain-specificity and -generality in creative production.

neuroscience↗

bioRxiv2021

Modelling the deathbed of ASF-infected wild boars in South Korea using 2019-2020 national surveillance data

In September 2019, African swine fever (ASF) was reported in South Korea for the first time. Since then, more than 651 ASF cases in wild boars and 14 farm outbreaks have been notified in the country. The purpose of this study was to characterize the spatial distribution of ASF-positive wild boar carcasses to identify the risk factors associated with the presence of ASF and number of ASF-positive wild boar carcasses in the affected areas. To achieve this objective, we divided the study into two periods (October 2, 2019, to January 19, 2020, and January 19 to April 28, 2020) and aggregated the number of reported ASF-positive carcasses into a regular grid of hexagons. To account for imperfect detection, we adjusted spatial zero-inflated Poisson regression models to the number of ASF-positive wild boar carcasses per hexagons. During the first study period, only proximity to North Korea was identified as a risk factor for the presence of African swine fever virus (ASFV). In addition, there were more reports in the affected hexagons with a high habitat suitability for wild boar, low heat load index (HLI), and high human density. During the second study period, proximity to an ASF-positive carcass reported during the first period was the only significant risk factor for the presence of ASF-positive carcasses. Additionally, high HLI and low elevation were associated with an increased number of ASF-positive carcasses reported in the affected hexagons. Although the proportion of ASF-affected hexagons increased from 0.06 (95% credible interval [CrI]: 0.05-0.07) to 0.09 (95% CrI: 0.08-0.10), the probability of reporting ASF-affected hexagons increased substantially from 0.49 (95% CrI: 0.41-0.57) to 0.73 (95% CrI: 0.66-0.81) between the two study periods. These results can be used to further advance risk-based surveillance.

ecology↗

bioRxiv2021

Evaluation of deep convolutional neural networks for in situ hybridization gene expression image representation

High resolution in situ hybridization (ISH) images of the brain capture spatial gene expression at cellular resolution. These spatial profiles are key to understanding brain organization at the molecular level. Previously, manual qualitative scoring and informatics pipelines have been applied to ISH images to determine expression intensity and pattern. To better capture the complex patterns of gene expression in the human cerebral cortex, we applied a machine learning approach. We propose gene re-identification as a contrastive learning task to compute representations of ISH images. We train our model on a ISH dataset of ~1,000 genes obtained from postmortem samples from 42 individuals. This model reaches a gene re-identification rate of 38.3%, a 13x improvement over random chance. We find that the learned embeddings predict expression intensity and pattern. To test generalization, we generated embeddings in a second dataset that assayed the expression of 78 genes in 53 individuals. In this set of images, 60.2% of genes are re-identified, suggesting the model is robust. Importantly, this dataset assayed expression in individuals diagnosed with schizophrenia. Gene and donor-specific embeddings from the model predict schizophrenia diagnosis at levels similar to that reached with demographic information. Mutations in the most discriminative gene, SCN4B, may help understand cardiovascular associations with schizophrenia and its treatment. We have publicly released our source code, embeddings, and models to spur further application to spatial transcriptomics. In summary, we propose and evaluate gene re-identification as a machine learning task to represent ISH gene expression images.

neuroscience↗

bioRxiv2021

In vivo multi-parametric manganese-enhanced MRI for detecting senile plaques in rodent models of Alzheimer's disease

Senile plaques are a hallmark of Alzheimers disease (AD) that develop in its earliest stages. Thus, non-invasive detection of these plaques would be invaluable for diagnosis and the development and monitoring of treatments, but this remains a challenge due to their small size. Here, we investigated the utility of manganese-enhanced MRI (MEMRI) for visualizing plaques in transgenic rodent models of AD across two species: 5xFAD mice and TgF344-AD rats. Fourteen mice (eight transgenic, six wild-type) and eight rats (four transgenic, four wild-type) were given subcutaneous injections of MnCl2 and imaged in vivo using a 9.4T Bruker scanner. Susceptibility-weighted images, transverse relaxation rate (R2*) maps, and quantitative susceptibility maps were derived from high-resolution 3D multi-gradient-echo (MGE) data to directly visualize plaques. Longitudinal relaxation rate (R1) maps were derived from MP2RAGE data to measure regional manganese uptake. After scanning, the brains were processed for histology and stained for beta-amyloid (4G8 antibody), iron (Perls), and calcium/manganese (Alizarin Red). MnCl2 improved signal-to-noise ratio (1.55{+/-}0.39-fold increase in MGE images) as expected, although this was not necessary for detection of plaques in the high-resolution images. Plaques were visible in susceptibility-weighted images, R2* maps, and quantitative susceptibility maps, with increased R2* and more positive magnetic susceptibility compared to surrounding tissue. In the 5xFAD mice, most MR-visible plaques were in the hippocampus, though histology confirmed plaques in the cortex and thalamus as well. In the TgF344-AD rats, many more plaques were MR-visible throughout the hippocampus and cortex. Beta-amyloid and iron staining indicate that, in both models, MR visibility was driven by plaque size and iron load. Voxel-wise comparison of R1 maps revealed increased manganese uptake in brain regions of high plaque burden in transgenic animals compared to their wild-type littermates. Interestingly, in contrast to plaque visibility in the high-resolution images, the increased manganese uptake was limited to the rhinencephalon in the TgF344-AD rats (family-wise error (FWE)-corrected p < 0.05) while it was most significantly increased in the cortex of the 5xFAD mice (FWE-corrected p < 0.3). Alizarin Red staining suggests that manganese bound to plaques in 5xFAD mice but not in TgF344-AD rats. Multi-parametric MEMRI is a simple, viable method for detecting senile plaques in rodent models of AD. Manganese-induced signal enhancement can enable higher-resolution imaging, which is key to visualizing these small amyloid deposits. We also present in vivo evidence of manganese as a potential targeted contrast agent for imaging plaques in the 5xFAD model of AD. HighlightsO_LIThis is the first study to use manganese-enhanced MRI (MEMRI) for direct visualization of senile plaques in rodent models of Alzheimers disease, in vivo. C_LIO_LIManganese enhancement is not necessary to detect plaques but improves image contrast and signal-to-noise ratio. C_LIO_LIManganese binds to plaques in 5xFAD mice but not in TgF344-AD rats, demonstrating potential as a targeted contrast agent for imaging plaques in certain models of AD. C_LI

neuroscience↗