Biology subjects

Kim, M.

Publications and source records attributed to Kim, M..

At least 289 records · Page 16Linked to original sources

bioRxiv2021

Thyroid hormone regulates abrupt skin morphogenesis during zebrafish postembryonic development

Thyroid hormone is a key regulator of post-embryonic vertebrate development. Skin is a biomedically important thyroid hormone target organ, but the cellular and molecular mechanisms underlying skin pathologies associated with thyroid dysfunction remain obscure. The transparent skin of zebrafish is an accessible model system for studying vertebrate skin development. During post-embryonic development of the zebrafish, scales emerge in the skin from a hexagonally patterned array of dermal papillae, like other vertebrate skin appendages such as feathers and hair follicles. We show here that thyroid hormone regulates the rate of post-embryonic dermal development through interaction with nuclear hormone receptors. This couples skin development with body growth to generate a well ordered array of correctly proportioned scales. This work extends our knowledge of thyroid hormone actions on skin by providing in-vivo evidence that thyroid hormone regulates multiple aspects of dermal development. HighlightsO_LIThyroid hormone (TH) is necessary for normal squamation patterning in zebrafish. C_LIO_LIStratified dermis develops by migration of primary hypodermal cells. C_LIO_LIDermis stratifies in an invariant wave. C_LIO_LITH regulates the rates of multiple aspects of dermis development. C_LIO_LIScale size and density are sensitive to skin size at onset of squamation. C_LI

developmental biology↗

bioRxiv2021

Novel insights into joint estimations of demography, mutation rate, and selection using UV sex chromosomes

A central goal in evolutionary genomics is to understand the processes that shape genetic variation in natural populations. In anisogamous species, these processes may generate asymmetries between genes transmitted through sperm or eggs. The unique inheritance of sex chromosomes facilitates studying such asymmetries, but in many systems sex-biased mutation, demography, and selection are confounded with suppressed recombination in only one sex (the W in females, or the Y in males). However, in a UV sex-determination system, both sex chromosomes are sex-specific and experience suppressed recombination. Here we built a spatially-structured simulation to examine the effects of population density and sex-ratio on female and male effective population size in haploids and compare the results to polymorphism data from whole-genome resequencing of the moss Ceratodon purpureus. In the parameter space we simulated, males nearly always had a lower effective population size than females. Using the C. purpureus resequencing data, we found the U and V have lower nucleotide diversity than the autosomal mean, and the V is much lower than the U, however, we found no parameter set in the model that explained both the U/V and U/autosome ratios we observed. We next used standard molecular evolutionary analyses to test for sex-biased mutation and selection. We found that males had a higher mutation rate but that natural selection shapes variation on the UV sex chromosomes. All together the moss system highlights how anisogamy alone can exert a profound influence on genome-wide patterns of molecular evolution.

evolutionary biology↗

bioRxiv2021

Calcium-Permeable AMPA Receptor Activity and GluA1 Trafficking in the Basolateral Amygdala Regulate the Positive Reinforcing Effects of Alcohol

Addiction is viewed as maladaptive glutamate-mediated neuroplasticity that is regulated, in part, by calcium-permeable AMPA receptor (CP-AMPAR) activity. However, the contribution of CP-AMPARs to alcohol-seeking behavior remains to be elucidated. We evaluated CP-AMPAR activity in the basolateral amygdala (BLA) as a potential target of alcohol that also regulates alcohol self-administration in C57BL/6J mice. Operant self-administration of sweetened alcohol increased spontaneous EPSC frequency in BLA neurons that project to the nucleus accumbens as compared to behavior-matched sucrose controls indicating an alcohol-specific upregulation of synaptic activity. Bath application of the CP-AMPAR antagonist NASPM decreased evoked EPSC amplitude only in alcohol self-administering mice indicating alcohol-induced synaptic insertion of CP-AMPARs in BLA projection neurons. Moreover, NASPM infusion in the BLA dose-dependently decreased the rate of operant alcohol self-administration providing direct evidence for CP-AMPAR regulation of alcohol reinforcement. Since most CP-AMPARs are GluA1-containing, we asked if alcohol alters the activation state of GluA1-containing AMPARs. Immunocytochemistry results showed elevated GluA1-S831 phosphorylation in the BLA of alcohol as compared to sucrose mice. To investigate mechanistic regulation of alcohol self-administration by GluA1-containing AMPARs, we evaluated the necessity of GluA1 trafficking using a TET-ON AAV encoding a dominant-negative GluA1 c-terminus (GluA1ct) that blocks activity-dependent synaptic delivery of native GluA1-containing AMPARs. GluA1ct expression in the BLA reduced alcohol self-administration with no effect on sucrose controls. These results show that CP-AMPAR activity and GluA1 trafficking in the BLA mechanistically regulate the reinforcing effects of sweetened alcohol. Pharmacotherapeutic targeting these mechanisms of maladaptive neuroplasticity may aid medical management of alcohol use disorder.

neuroscience↗

bioRxiv2021

Quantitative blood flow estimation in vivo by optical speckle image velocimetry

Speckle based methods are popular non-invasive, label-free full-field optical techniques for imaging blood flow maps at single vessel resolution with a high temporal resolution. However, conventional speckle approach cannot provide an absolute velocity map with magnitude and direction. Here, we report a novel optical speckle image velocimetry (OSIV) technique for measuring the quantitative blood flow vector map by utilizing particle image velocimetry with speckle cross-correlations. We demonstrate that our OSIV instrument has a linearity range up to 7 mm/s, higher than conventional optical methods. Our method can measure the absolute flow vector map at up to 190 Hz without sacrificing the image size, and it eliminates the need for a high-speed camera/detector. We applied OSIV to image the blood flow in a mouse brain, and as a proof of concept, imaged the real-time dynamic changes in the cortical blood flow field during the stroke process in vivo. Our wide-field quantitative flow measurement OSIV method without the need of tracers provides a valuable tool for studying the healthy and diseased brain.

biophysics↗

bioRxiv2021

Dynamic predictive coding across the left fronto-temporal language hierarchy: Evidence from MEG, EEG and fMRI

We used MEG and ERPs to track the time-course and localization of evoked activity produced by expected, unexpected plausible and implausible words during incremental language comprehension. We interpret the full pattern of evoked responses and functional connectivity within a hierarchical predictive coding framework in which evoked activity reflects residual information (error) that is passed up and down the cortical hierarchy. Between 300-500ms, the three conditions produced progressively larger responses within left temporal cortex (lexico-semantic prediction error), while implausible inputs produced a selectively enhanced response within left inferior frontal cortex (event-level prediction error). Between 600-1000ms, unexpected plausible words activated left inferior frontal and middle temporal cortices (feedback activity that induced top-down shifts of event-level and lexico-semantic representations), while highly implausible inputs activated posterior fusiform and medial temporal cortices, supporting orthographic reanalysis and new learning. Therefore, predictive coding may provide a unifying theory that links language comprehension to other domains of cognition.

neuroscience↗

bioRxiv2021

Direct acetylation of the conserved threonine of an immune regulator by bacterial effectors activates RPM1-dependent immunity in Arabidopsis

Plant pathogenic bacteria deliver effectors into plant cells to suppress immunity and promote pathogen survival (Buttner, 2016; Deslandes and Rivas, 2012); however, these effectors can be recognised by plant disease resistance (R) proteins to activate innate immunity (Jones and Dangl, 2006; Spoel and Dong, 2012). The bacterial acetyltransferase effectors HopZ5 and AvrBsT trigger immunity in Arabidopsis thaliana genotypes lacking SUPPRESSOR OF AVRBST-ELICITED RESISTANCE 1 (SOBER1) (Choi et al., 2018; Jayaraman et al., 2017). Using an Arabidopsis accession, Tscha-1, that naturally lacks functional SOBER1 but is unable to recognise HopZ5, we demonstrate that RESISTANCE TO P. SYRINGAE PV MACULICOLA 1 (RPM1) and RPM1-INTERACTING PROTEIN 4 (RIN4) are indispensable for HopZ5- or AvrBsT-triggered immunity. Remarkably, T166 of RIN4, the phosphorylation of which is induced by AvrB and AvrRpm1, was directly acetylated by HopZ5 and AvrBsT. Furthermore, we demonstrate that acetylation of RIN4 T166 is required and sufficient for activation of HopZ5- or AvrBsT-triggered defence. Finally, we show that SOBER1 interferes with HopZ5- or AvrBsT-triggered immunity by deacetylating RIN4 T166. Our findings indicate that multiple pathogen effectors with distinct biochemical properties modify a single residue in a guardee protein and activate a plant NLR immune receptor. We have thus elucidated detailed molecular mechanisms underlying the activation and suppression of plant innate immunity triggered by bacterial acetyltransferases.

plant biology↗

bioRxiv2021

Mitochondrial ATP Synthase Subunit d, a Component of the Peripheral Stalk, is Essential for Growth and Heat Stress Tolerance in Arabidopsis thaliana.

As rapid changes in climate threaten global crop yields, an understanding of plant heat stress tolerance is increasingly relevant. Heat stress tolerance involves the coordinated action of many cellular processes and is particularly energy demanding. We acquired a knockout mutant and generated knockdown lines in Arabidopsis thaliana of the d subunit of mitochondrial ATP synthase (gene name: ATPQ, AT3G52300, referred to hereafter as ATPd), a subunit of the peripheral stalk, and used these to investigate the phenotypic significance of this subunit in normal growth and heat stress tolerance. Homozygous knockout mutants for ATPd could not be obtained due to gametophytic defects, while heterozygotes possess no visible phenotype. Therefore, we used RNAi to create knockdown plant lines for further studies. Proteomic analysis and blue native gels revealed that ATPd downregulation impairs only subunits of the mitochondrial ATP synthase (complex V of the electron transport chain). Knockdown plants were more sensitive to heat stress, had abnormal leaf morphology, and were severely slow growing compared to wild type. These results indicate that ATPd plays a crucial role in proper function of the mitochondrial ATP synthase holoenzyme, which, when reduced, leads to wide-ranging defects in energy-demanding cellular processes. In knockdown plants, more hydrogen peroxide accumulated and mitochondrial dysfunction stimulon (MDS) genes were activated. These data establish the essential structural role of ATPd and provide new information about complex V assembly and quality control, as well as support the importance of mitochondrial respiration in normal plant growth and heat stress tolerance. SIGNIFICANCE STATEMENTThe energy converter, mitochondrial ATP synthase, is critical for all organisms, but the functional importance of ATP synthase subunit d remains largely unknown in plants. We demonstrate the contributions of subunit d to plant growth, development, and heat stress tolerance, as well as to ATP synthase stability, ROS signaling and mitochondrial dysfunction regulation.

plant biology↗

bioRxiv2021

Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies

Spatial barcoding technologies have the potential to reveal histological details of transcriptomic profiles; however, they are currently limited by their low resolution. Here we report Seq-Scope, a spatial barcoding technology with a resolution almost comparable to an optical microscope. Seq-Scope is based on a solid-phase amplification of randomly barcoded single-molecule oligonucleotides using an Illumina sequencing-by-synthesis platform. The resulting clusters annotated with spatial coordinates are processed to expose RNA-capture moiety. These RNA-capturing barcoded clusters define the pixels of Seq-Scope that are approximately 0.5-1 m apart from each other. From tissue sections, Seq-Scope visualizes spatial transcriptome heterogeneity at multiple histological scales, including tissue zonation according to the portal-central (liver), crypt-surface (colon) and inflammation-fibrosis (injured liver) axes, cellular components including single cell types and subtypes, and subcellular architectures of nucleus, cytoplasm and mitochondria. Seq-scope is quick, straightforward and easy-to-implement, and makes spatial single cell analysis accessible to a wide group of biomedical researchers.

bioengineering↗

bioRxiv2021

Segmentor: A tool for manual refinement of 3D microscopy annotations

BackgroundRecent advances in tissue clearing techniques, combined with high-speed image acquisition through light sheet microscopy, enable rapid three-dimensional (3D) imaging of biological specimens, such as whole mouse brains, in a matter of hours. Quantitative analysis of such 3D images can help us understand how changes in brain structure lead to differences in behavior or cognition, but distinguishing features of interest, such as nuclei, from background can be challenging. Recent deep learning-based nuclear segmentation algorithms show great promise for automated segmentation, but require large numbers of manually and accurately labeled nuclei as training data. ResultsWe present Segmentor, an open-source tool for reliable, efficient, and user-friendly manual annotation and refinement of objects (e.g., nuclei) within 3D light sheet microscopy images. Segmentor employs a hybrid 2D-3D approach for visualizing and segmenting objects and contains features for automatic region splitting, designed specifically for streamlining the process of 3D segmentation of nuclei. We show that editing simultaneously in 2D and 3D using Segmentor significantly decreases time spent on manual annotations without affecting accuracy. ConclusionsSegmentor is a tool for increased efficiency of manual annotation and refinement of 3D objects that can be used to train deep learning segmentation algorithms, and is available at https://www.nucleininja.org/ and https://github.com/RENCI/Segmentor.

neuroscience↗

bioRxiv2021

Immunogenicity of an AAV-based, room-temperature stable, single dose COVID-19 vaccine in mice and non-human primates

The SARS-CoV-2 pandemic has affected more than 70 million people worldwide and resulted in over 1.5 million deaths. A broad deployment of effective immunization campaigns to achieve population immunity at global scale will depend on the biological and logistical attributes of the vaccine. Here, two adeno-associated viral (AAV)-based vaccine candidates demonstrate potent immunogenicity in mouse and nonhuman primates following a single injection. Peak neutralizing antibody titers remain sustained at 5 months and are complemented by functional memory T-cells responses. The AAVrh32.33 capsid of the AAVCOVID vaccine is an engineered AAV to which no relevant pre-existing immunity exists in humans. Moreover, the vaccine is stable at room temperature for at least one month and is produced at high yields using established commercial manufacturing processes in the gene therapy industry. Thus, this methodology holds as a very promising single dose, thermostable vaccine platform well-suited to address emerging pathogens on a global scale.

immunology↗

bioRxiv2020

Criticality Creates a Functional Platform for Network Transitions between Internal and External Processing Modes in the Human Brain

Continuous switching between internal and external modes in the brain is a key process of constructing inner models of the outside world. However, how the brain continuously switches between two modes remains elusive. Here, we propose that a large synchronization fluctuation of the brain network emerging only near criticality (i.e., a balanced state between order and disorder) spontaneously creates temporal windows with distinct preferences for integrating internal information of the network and external stimuli. Using a computational model and empirical data analysis during alterations of consciousness in human, we present that synchronized and incoherent networks respectively bias toward internal and external information with specific network configurations. The network preferences are the most prominent in conscious states; however, they disrupt in altered states of consciousness. We suggest that criticality produces a functional platform of the brains capability for continuous switching between two modes, which is crucial for the emergence of consciousness.

neuroscience↗

bioRxiv2020

Fructose 1,6-bisphosphate sensing by pyruvate kinase isozymes M2 (PKM2) controls MyoD stability and myogenic differentiation

Glucose exerts beneficial effects on myogenesis and muscle physiology. However, the mechanisms by which glucose regulates myogenesis remain ill-defined or incompletely understood. Here, we show that low glycolysis destabilizes MyoD protein, a master myogenic transcription factor. Intriguingly, MyoD is not controlled by the cellular energy status per se, but by the level of fructose 1,6-bisphosphate, an intermediate metabolite of glycolysis. Fructose 1,6-bisphosphate is sensed by pyruvate kinase M2 (PKM2). In the presence of fructose 1,6-bisphosphate, PKM2 form tetramers that sequester the Huwe1 E3 ubiquitin ligase to the cytoplasm. Reduced fructose 1,6-bisphosphate levels dissociate the tetramer, releasing Huwe1 into the nucleus where it targets MyoD for degradation. Genetic or pharmacological modulation of PKM2-Huwe1 axis restores myogenic differentiation in glucose restricted conditions. Our results show that glucose metabolism directly regulates protein stability of a key myogenic factor and provide a rationale for enhancing myogenesis.

cell biology↗

bioRxiv2020

Transcriptional analysis of immune modulatory genes in melanoma treated with PD-1 blockade

Abstract/SummaryWe aimed to characterize immunological features of melanoma patients treated with PD-1 blockade using tumor transcriptomic datasets. Response-dependent and response-independent predictors based on biological knowledge were investigated. Domain knowledge-driven regression-based analysis identified CEACAM1, CD40, B7-H3, and CD112 as key genes that determine the melanoma immune status. We devised the transcriptional deviance score (TDS) representing the individual sample-wise contribution to the immune network. The TDS not only showed good predictive power for immune checkpoint inhibitor (ICI) responses but also suggested specific gene interactions that determine ICI responses. Dynamic TDS changes following ICI treatment were related to long survival, indicating immune network modulation by ICIs occurred in responders. A predictive model incorporating B7-H3 and CEACAM1 expression, mutational status, clinical features, and the TDS showed excellent performance for ICI response. Thus, our approaches suggest a novel measure for the tumor immune temperature and provide insight into melanoma immunobiology. HighlightsO_LIWe applied outcome-independent and outcome-dependent methods to investigate melanoma immunobiology. C_LIO_LICEACAM1, CD40, B7-H3, and CD112 expression levels are key determinants of immune status. C_LIO_LIWe devised a TDS that could measure tumor immune network status at the individual level. C_LIO_LIIncorporating regression and correlation approaches greatly improves predictive power. C_LI

cancer biology↗

bioRxiv2020

Sestrins regulate age-induced deterioration of muscle stem cell homeostasis

The health and homeostasis of skeletal muscle is preserved by a population of tissue resident stem cells called satellite cells. Young healthy satellite cells maintain a state of quiescence, but aging or metabolic insults results in reduced capacity to prevent premature activation and stem cell exhaustion. As such, understanding genes and pathways that protect satellite cell maintenance of quiescence are needed. Sestrins are a class of stress-inducible proteins that act as antioxidants and inhibit the activation of the mammalian target of rapamycin complex 1 (mTORC1) signaling complex. Despite these pivotal roles, the role of Sestrins has not been explored in adult stem cells. Herein, we show that Sestrin1,2 loss results in hyperactivation of the mTORC1 complex, increased propensity to enter the cell cycle and shifts in metabolic flux. Aging of Sestrin1,2 knockout mice demonstrated a loss of MuSCs and reduced ability to regenerate. These findings demonstrate Sestrins function to help maintain MuSC metabolism that supports quiescence and against aging. HighlightsO_LISestrin deficiency alters mTORC1 signaling in muscle stem cells (MuSCs). C_LIO_LIIn young mice, Sestrins are dispensable for regenerative responses of MuSCs. C_LIO_LISestrin deficiency accelerates age-dependent loss and dysfunction of MuSCs. C_LI

cell biology↗

bioRxiv2020

Clonal dynamics in early human embryogenesis inferred from somatic mutation

The trillions of cells that constitute the human body are developed from a fertilized egg through embryogenesis. However, cellular dynamics and developmental outcomes of embryonic cells in humans remain to be largely unknown due to the technical and ethical challenges. Here, we explored whole-genomes of 334 single-cell expanded clones and targeted deep-sequences of 379 bulk tissues obtained from various anatomical locations from seven individuals. Using the discovered 1,688,652 somatic mutations as an intrinsic barcode, we reconstructed cellular phylogenetic trees that provide novel insights into early human embryogenesis. Our findings suggest (1) endogenous mutational rate that is higher in the first cell division of life but decreases to ~1 per cell per cell division later in life, (2) universal unequal contribution of early cells into embryo proper resulting from early cellular bottlenecks that stochastically separate epiblasts from embryonic cells (3) uneven differential outcomes of early cells into three germ layers, left-right and cranio-caudal tissues, (4) emergence of a few ancestral cells that will contribute to the substantial fraction of adult blood cells, and (5) presence of mitochondrial DNA heteroplasmy in the fertilized egg. Our approach additionally provides insights into the age-related mutational processes including UV-mediated mutagenesis and loss of chromosome X or Y in normal somatic cells. Taken together, this study scrutinized somatic mosaicism, clonal architecture, and cellular dynamics in human embryogenesis at an unprecedented level and provides a foundation for future studies to complete cellular phylogenies in human embryogenesis.

genomics↗

bioRxiv2020

Inverse oculomotor responses of achiasmatic mice expressing a transfer-defective Vax1 mutant

In binocular animals that exhibit stereoscopic visual responses, the axons of retinal ganglion cells (RGCs) connect to brain areas bilaterally by forming a commissure called the optic chiasm (OC). Ventral anterior homeobox 1 (Vax1) contributes to formation of the OC, acting endogenously in optic pathway cells and exogenously in growing RGC axons. Here, we generated Vax1AA/AA mice expressing the Vax1AA mutant, which is incapable of intercellular transfer. We found that RGC axons cannot take up Vax1AA protein from Vax1AA/AA mouse optic stalk (OS) cells, of which maturation is delayed, and fail to access the midline. Consequently, RGC axons of Vax1AA/AA mice connect exclusively to ipsilateral brain areas, resulting in the reduced visual acuity and the abnormal oculomotor responses. Together, our study provides physiological evidences for the necessity of intercellular transfer of Vax1 and the importance of the bilateral RGC axon projection in visuomotor responses.

developmental biology↗

bioRxiv2020

Diversity Across the Pancreatic Ductal Adenocarcinoma Disease Spectrum Revealed by Network-Anchored Functional Genomics

Cancers are highly complex ecosystems composed of molecularly distinct sub-populations of tumor cells, each exhibiting a unique spectrum of genetic features and phenotypes, and embedded within a complex organ context. To substantially improve clinical outcomes, there is a need to comprehensively define inter- and intra-tumor phenotypic diversity, as well as to understand the genetic dependencies that underlie discrete molecular subpopulations. To this end, we integrated CRISPR-based co-dependency annotations with a tissue-specific co-expression network developed from patient-derived models to establish CoDEX, a framework to quantitatively associate gene-cluster patterns with genetic vulnerabilities in pancreatic ductal adenocarcinoma (PDAC). Using CoDEX, we defined multiple prominent anticorrelated gene-cluster signatures and specific pathway dependencies, both across genetically distinct PDAC models and intratumorally at the single-cell level. Of these, one differential signature recapitulated the characteristics of classical and basal-like PDAC molecular subtypes on a continuous scale. Anchoring genetic dependencies identified through functional genomics within the gene-cluster signature defined fundamental vulnerabilities associated with transcriptomic signatures of PDAC subtypes. Subtype-associated dependencies were validated by feature-barcoded CRISPR knockout of prioritized basal-like-associated genetic vulnerabilities (SMAD4, ILK, and ZEB1) followed by scRNAseq in multiple PDAC models. Silencing of these genes resulted in a significant and directional clonal shift toward the classical-like signature of more indolent tumors. These results validate CoDEX as a novel, quantitative approach to identify specific genetic dependencies within defined molecular contexts that may guide clinical positioning of targeted therapeutics.

cancer biology↗

bioRxiv2020

Antiviral activity of lambda-carrageenan against influenza viruses in mice and severe acute respiratory syndrome coronavirus 2 in vitro

Influenza virus and coronavirus, belonging to enveloped RNA viruses, are major causes of human respiratory diseases. The aim of this study was to investigate the broad spectrum antiviral activity of a naturally existing sulfated polysaccharide, lambda-carrageenan ({lambda}-CGN), purified from marine red algae. Cell culture-based assays revealed that the macromolecule efficiently inhibited both influenza A and B viruses, as well as currently circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with EC50 values ranging from 0.3-1.4 g/ml. No toxicity to host cells was observed at concentrations up to 300 g/ml. Plaque titration and western blot analysis verified that {lambda}-CGN reduced expression of viral proteins in cell lysates and suppressed progeny virus production in culture supernatants in a dose-dependent manner. This polyanionic compound exerts antiviral activity by targeting viral attachment to cell surface receptors and preventing entry. Moreover, intranasal administration to mice during influenza A viral challenge not only alleviated infection-mediated reductions in body weight but also protected 60% of mice from virus-induced mortality. Thus, {lambda}-CGN could be a promising antiviral agent for preventing infection by several respiratory viruses.

microbiology↗