Biology subjects

Lee, C.

Publications and source records attributed to Lee, C..

At least 181 records · Page 10Linked to original sources

bioRxiv2023

High-resolution assessment of multidimensional cellular mechanics using label-free refractive-index traction force microscopy

A critical requirement for studying cell mechanics is three-dimensional (3D) assessment of cellular shapes and forces with high spatiotemporal resolution. Traction force microscopy (TFM) with fluorescence imaging enables the measurement of cellular forces, but it is limited by photobleaching and a slow 3D acquisition speed. Here, we present refractive-index traction force microscopy (RI-TFM), a high-speed volumetric technique that simultaneously quantifies the 3D morphology and traction force of cells. RI-TFM reconstructs a 3D tomogram of single cells on a planar hydrogel elastomer using a high-speed illumination scheme with 0.5-Hz temporal resolution. This allows for quantitative analyses of 3D dry-mass distributions and shear (in-plane) and normal (out-of-plane) tractions of single cells on the extracellular matrix without labelling. When combined with a constrained total variation-based deconvolution algorithm, the proposed method provides 0.55-Pa shear (in-plane) and 1.59-Pa normal (out-of-plane) traction sensitivity for a 1-kPa hydrogel substrate. We demonstrate the utility of RI-TFM by assessing the effects of compromised intracellular stress due to actin disruption or low temperature and capturing the rapid dynamics of cellular junction formation in the spatiotemporal changes in non-planar traction components.

biophysics↗

bioRxiv2023

Pre- and postsynaptic nanostructures increase in size and complexity after LTP induction

Synapses, specialized contact sites between neurons, are the fundamental elements of neuronal information transfer. Synaptic plasticity is related to changes in synaptic morphology and the number of neurotransmitter receptors, and thought to underlie learning and memory. However, it is not clear how these structural and functional changes are connected. We utilized time-lapse super-resolution STED microscopy to visualize structural changes of the synaptic nano-organization of the postsynaptic scaffolding protein PSD95, the presynaptic scaffolding protein Bassoon, and the GluA2 subunit of AMPA receptors by chemically induced long-term potentiation (cLTP) at the level of single synapses. We found that the nano-organization of all three proteins undergoes an increase in complexity and size after cLTP induction. The increase was largely synchronous, peaking at [~]60 min after stimulation. Therefore, both the size and complexity of single pre- and post-synaptic nanostructures serve as substrates for adjusting and determining synaptic strength. Highlights- Time-lapse super-resolution images the structural changes of the PSD95 nano-organization after Cltp - cLTP-induced growth of the PSD95 nano-organization is less than spine head growth and peaks at 60 min, i.e. much slower than the increase in spine volume. - Most PSD95 nanostructures increase in complexity upon cLTP. - Synchronous growth - Nanostructures of pre- and postsynaptic scaffolding proteins and AMPA receptors increase simultaneously and equally strong upon cLTP. - GluA2-containing synaptic AMPA receptors form nanoclusters that increase in size and slightly in number upon cLTP and form subdomains on PSD95. - Bassoon forms complex structures similar to the PSD95 nano-organization.

neuroscience↗

bioRxiv2023

Transcranial direct current stimulation elevates the baseline activity while sharpening the spatial tuning of the human visual cortex

BackgroundAlthough transcranial direct current stimulation (tDCS) is widely used to affect various kinds of human cognition, behavioral studies on humans have produced highly inconsistent results. This requires a clear understanding of how tDCS impacts the system-level neural activity, a prerequisite for the principled application of tDCS to human cognition. ObjectiveHere, we aim to gain such understanding by probing the spatial and temporal cortical activity of the human early visual cortex (EVC) in diverse aspects while controlling the polarity and presence of tDCS. We target EVC to capitalize on its well-established anatomical and functional architecture that is readily accessible with non-invasive quantitative neuroimaging methods. MethodsTo create an electric field in EVC precisely and effectively, we tailored high-definition stimulation montages for 15 individual brains by running electric field simulations. We then conducted an fMRI (functional magnetic neuroimaging)-tDCS experiment on each brain with a sham-controlled crossover design over multiple days. We quantified tDCS effects with eight measures, tested their significance with mixed ANOVA, and further validated their robustness to across-voxel and across-subject variability. ResultsThe anodal application of tDCS gradually elevated EVCs baseline BOLD activity and sharpened its spatial tuning by augmenting surround suppression without affecting its evoked activity. ConclusionsComparisons of our and previous findings suggest the fundamental differences in tDCS effects between the visual and motor cortices, inhibitory and excitatory effects predominant in the former and latter, respectively. This calls for considering the differences in the excitatory-inhibitory recurrent network between brain regions in predicting or interpreting tDCS effects.

neuroscience↗

bioRxiv2023

Age-dependent structural and morphological changes of the stem cell niche disrupt spatiotemporal regulation of stem cells and drive tissue disintegration

Aging induces a progressive decline in tissue function, which has been attributed to a decrease in stem cell function. A major factor driving this decline is the aging of the stem cell niche but elucidating molecular mechanisms of the niche aging and its effects on stem cell regulation remain a challenge. Here, we use the Caenorhabditis elegans distal tip cell (DTC), the mesenchymal niche that employs Notch signaling to regulate germline stem cells (GSCs), as an in vivo niche aging model and delineate the molecular details of the DTC/niche aging process and its consequences on GSC function and tissue integrity. Using Notch-dependent transcriptional activation as a direct readout of GSC-DTC/niche interaction and its transcriptional activity as a readout for GSC function, we find that an age-dependent reduction in Notch transcription occurs both at the tissue and the cellular levels, but with its activity at the chromosomal loci remains unaffected. This overall reduction is due to an age-dependent progressive shift in the spatial pattern of Notch-dependent transcription in the germline, resulting in a shift of the GSC pool location and disruption of the tissue integrity. We show that the position of the DTC/niche nucleus determines the location of the Notch-responsive GSC pool, with its correlation to the structure and morphology of the DTC/niche, which also changes during aging. Our findings demonstrate that the stem cell niche undergoes structural and morphological changes during aging and reveal a critical link between these changes and the spatiotemporal regulation of stem cell function.

cell biology↗

bioRxiv2022

Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups

We present 4,157 whole-genome sequences (Korea4K) coupled with 107 health check-up parameters as the largest whole genomic resource of Koreans. Korea4K provides 45,537,252 variants and encompasses most of the common and rare variants in Koreans. We identified 1,356 new geno-phenotype associations which were not found by the previous Korea1K dataset. Phenomics analyses revealed 24 genetic correlations, 1,131 pleiotropic variants, and 127 causal relationships from Mendelian randomization. Moreover, the Korea4K imputation reference panel showed a superior imputation performance to Korea1K. Collectively, Korea4K provides the most extensive genomic and phenomic data resources for discovering clinically relevant novel genome-phenome associations in Koreans.

genomics↗

bioRxiv2022

novoRNABreak: local assembly for novel splice junction and fusion transcript detection from RNA-seq data

We present novoRNABreak, a unified framework for cancer specific novel splice junction and fusion transcript detection in RNA-seq data obtained from human cancer samples. novoRNABreak is based on a local assembly model, which offers a tradeoff between the alignment-based and de novo whole transcriptome assembly (WTA) approaches, namely, being more sensitive in assembling novel junctions that cannot be directly aligned, and more efficient due to the strategy that focuses on junctions rather than full-length transcripts. The performance of novoRNABreak is demonstrated by a comprehensive set of experiments using synthetic data generated based on genome reference, as well as real RNA-seq data from breast cancer and prostate cancer samples. The results show that novoRNABreak can detect novel splice junctions and fusion transcripts efficiently with high sensitivity and reasonable specificity.

bioinformatics↗

bioRxiv2022

Identification of novel PGRP3 protein -protein interactions using yeast two hybrid system

BackgroundPeptidoglycan recognition protein-3 (PGRP3) is a pattern recognition receptor that binds peptidoglycan to elicit an immune response. How PGRP3 mediates these immunomodulatory effects remains unknown. Identifying the proteins that interact with PGRP3 will help begin to address this important knowledge gap. Therefore, in this study our objective was to identify and validate novel PGRP3-protein interactions. MethodsPGRP3-protein interactions were identified using a yeast two-hybrid system. PGRP3 cloned into a pGBKT7 DNA-BD vector and transformed into a Y2HGold yeast strain served as the bait. A normalized universal human cDNA library cloned in a pGADT7 AD vector and pre-transformed into an Y187 yeast strain served as the prey. Y2HGold and Y187 yeast strains were mated and diploids were plated on selective media. True positive clones were sent in for DNA sequencing and corresponding proteins were identified through NCBI Blast. Two proteins were selected for validation. His-tagged PGRP3 expressing 293T cells were then co-transfected with expression vectors containing the identified proteins tagged with c-Myc. Lysates from co-transfected cells were subjected to anti-His and anti-Myc co-immunoprecipitation and analyzed with western blots. ResultsFour unique proteins-- MBNL3, RBP5, ATXN2, and GPATCH8--were identified from our yeast two-hybrid screen. Co-transfection and co-immunoprecipitation assays successfully confirmed MBNL3 and RBP5 as positive interactors with PGRP3. ConclusionsBased on the known functions of MBNL3, RBP5, ATXN2, and GPATCH8, we hypothesize that PGRP3 may be involved in RNA processing, endocytic trafficking, and PPAR{gamma} pathways related to innate immunity.

immunology↗

bioRxiv2022

Prenatal maternal stress promotes neural stem cell proliferation in the ependymal-subventricular zone of adult male offspring

Perturbations during critical time windows during embryonic development can lead to adverse functional consequences that manifest later in life. Here, we report that prenatal maternal stress (PNS) during the peak of embryonic neurogenesis (E14-delivery) dramatically increased numbers of proliferating neural stem/progenitor cells (NSC/NPCs) in the ependymal-subventricular zone (E-SVZ) and neuroblasts (NBs) in the rostral migratory stream and newborn neurons in the olfactory bulb (OB) of male mouse offspring without causing significant cell death or a deficit in cell migration to the OB. Mechanistically, bulk and single-nucleus transcriptomic analyses showed that PNS affected gene regulatory networks controlling cell cycle progression and stem cell maintenance, maturation of neural circuits, and gliogenesis in prenatally stressed (STR) offspring. More specifically, we found that prenatal exposure to mild maternal restraint-stress sustained MAPK (ERK) activity in the E-SVZ and thus prolonged NSC/NPC/NB proliferation in stressed brains. Moreover, we found PNS disorganized the cytoarchitecture of the glomerular layer of the OB, which may directly relate to the deficit in discriminating different social orders in stressed offspring. Compared to STR males, their female littermates showed less change in the number of proliferating cells in the E-SVZ.

neuroscience↗

bioRxiv2022

Multiplex profiling of developmental enhancers with quantitative, single-cell expression reporters

The inability to scalably and precisely measure the activity of developmental enhancers in multicellular systems is a bottleneck in genomics. Here, we develop a dual RNA cassette that decouples the detection and quantification tasks inherent to multiplex single-cell reporter assays, resulting in accurate measurement of reporter expression over a >10,000-fold range of activity with a precision approaching the limit set by Poisson counting noise. Together with RNA barcode circularization, these single-cell quantitative expression reporters (scQers) provide high-contrast readouts analogous to classic in situ assays, but entirely from sequencing. Screening >200 enhancers in a multicellular in vitro model of early mammalian development, we identified numerous autonomous and cell-type-specific elements, including constituents of the Sox2 control region exclusively active in pluripotent cells, endoderm-specific enhancers, including near Foxa2 and Gata4, and a compact pleiotropic enhancer at the Lamc1 locus. scQers can be mobilized in developmental systems to quantitatively characterize native, perturbed, and synthetic enhancers at scale, with high sensitivity and at single-cell resolution.

genomics↗

bioRxiv2022

Hippocampal engram networks for fear memory recruit new synapses and modify pre-existing synapses in vivo.

As basic units of neural networks, ensembles of synapses underlie cognitive functions like learning and memory. These synaptic engrams show elevated synaptic density among engram cells following contextual fear memory formation. Subsequent analysis of the CA3-CA1 engram synapse revealed larger spine sizes, as the synaptic connectivity correlated to the memory strength. Here, we elucidate the synapse dynamics between CA3 and CA1 by tracking identical synapses at multiple time points by adapting two-photon microscopy and dual-eGRASP technique in vivo. After memory formation, synaptic connections between engram populations are enhanced in conjunction with synaptogenesis within the hippocampal network. However, extinction learning specifically correlated with the disappearance of CA3 engram to CA1 engram (E-E) synapses. We observed "newly formed" synapses near pre-existing synapses, which clustered CA3-CA1 engram synapses after fear memory formation. Overall, we conclude that dynamics at CA3 to CA1 E-E synapses are key sites for modification during fear memory states. HighlightsO_LIWe adapted four-color two-photon microscopy with dual-eGRASP for a longitudinal observation of synaptic connections between CA3 and CA1. C_LIO_LISynaptogenesis according to fear memory formation was specifically observed in E-E synapses. C_LIO_LIExtinction learning significantly correlated with the disappearance of E-E synapses. C_LIO_LIParticular distribution pattern of newly formed E-E synapses was observed after memory formation. C_LI

neuroscience↗

bioRxiv2022

Assembly of 43 diverse human Y chromosomes reveals extensive complexity and variation

The prevalence of highly repetitive sequences within the human Y chromosome has led to its incomplete assembly and systematic omission from genomic analyses. Here, we present long-read de novo assemblies of 43 diverse Y chromosomes spanning 180,000 years of human evolution, including two from deep-rooted African Y lineages, and report remarkable complexity and diversity in chromosome size and structure, in contrast with its low level of base substitution variation. The size of the Y chromosome assemblies varies extensively from 45.2 to 84.9 Mbp and include, on average, 81 kbp of novel sequence per Y chromosome. Half of the male-specific euchromatic region is subject to large inversions with a >2-fold higher recurrence rate compared to inversions in the rest of the human genome. Ampliconic sequences associated with these inversions further show differing mutation rates that are sequence context-dependent and some ampliconic genes show evidence for concerted evolution with the acquisition and purging of lineage-specific pseudogenes. The largest heterochromatic region in the human genome, the Yq12, is composed of alternating arrays of DYZ1 and DYZ2 repeat units that show extensive variation in the number, size and distribution of these arrays, but retain a 1:1 copy number ratio of the monomer repeats, consistent with the notion that functional or evolutionary forces are acting on this chromosomal region. Finally, our data suggests that the boundary between the recombining pseudoautosomal region 1 and the non-recombining portions of the X and Y chromosomes lies 500 kbp distal to the currently established boundary. The availability of sequence-resolved Y chromosomes from multiple individuals provides a unique opportunity for identifying new associations of specific traits with Y-chromosomal variants and garnering novel insights into the evolution and function of complex regions of the human genome.

genomics↗

bioRxiv2022

Plastid Genome Assembly Using Long-read Data (ptGAUL)

Although plastid genome (plastome) structure is highly conserved across most seed plants, investigations during the past two decades revealed several disparately related lineages that experienced substantial rearrangements. Most plastomes contain a large, inverted repeat and two single-copy regions and few dispersed repeats, however the plastomes of some taxa harbor long repeat sequences (>300 bp). These long repeats make it difficult to assemble complete plastomes using short-read data leading to misassemblies and consensus sequences that have spurious rearrangements. Single-molecule, long-read sequencing has the potential to overcome these challenges, yet there is no consensus on the most effective method for accurately assembling plastomes using long-read data. We generated a pipeline, plastid Genome Assembly Using Long-read data (ptGAUL), to address the problem of plastome assembly using long-read data from Oxford Nanopore Technologies (ONT) or Pacific Biosciences platforms. We demonstrated the efficacy of the ptGAUL pipeline using 16 published long-read datasets. We showed that ptGAUL produces accurate and unbiased assemblies. Additionally, we employed ptGAUL to assemble four new Juncus (Juncaceae) plastomes using ONT long reads. Our results revealed many long repeats and rearrangements in Juncus plastomes compared with basal lineages of Poales.

bioinformatics↗

bioRxiv2022

Baculoviral COVID-19 Delta DNA vaccine cross-protects against SARS-CoV2 variants in K18-ACE2 transgenic mice

After severe acute respiratory syndrome coronavirus-2 (SARS-CoV2) made the world tremble with a global pandemic, SARS-CoV2 vaccines were developed. However, due to the coronaviruss intrinsic nature, new variants emerged, such as Delta and Omicron, refractory to the vaccines derived using the original Wuhan strain. We developed an HERV-enveloped recombinant baculoviral DNA vaccine against SARS-CoV2 (AcHERV-COVID19S). A non-replicating recombinant baculovirus that delivers the SARS-CoV2 spike gene showed a protective effect against the homologous challenge in a K18-hACE2 Tg mice model; however, it offered only a 50% survival rate against the SARS-CoV2 Delta variant. Therefore, we further developed the AcHERV-COVID19 Delta vaccine (AcHERV-COVID19D). Cross-protection experiments revealed that mice vaccinated with the AcHERV-COVID19D showed 100% survival upon challenge with Delta and Omicron variants and 71.4% survival against prototype SARS-CoV2. These results support the potential of the viral vector vaccine, AcHERV-COVID19D, in preventing the spread of coronavirus variants such as Omicron and SARS-CoV2 variants. Author SummaryAfter the SARS-CoV2 pandemic, it is known that the existing vaccine has diminished efficacy against the emerging variants. We developed a baculoviral COVID19 DNA vaccine for the Delta variant (AcHERV-COVIS19D). Compared to AcHERV-COVID19S, designed to protect from the prototype of SARS-CoV2, AcHERV-COVID19D elicited higher humoral and cellular immunity and showed perfect protection against SARS-CoV2 delta strain and Omicron challenge. The broad and robust cellular immunity of the AcHERV-COVID19D vaccine appears to have played a significant role in the cross-protection of the Omicron variant. Our AcHERV-COVID19D can be a potential vaccine against emerging SARS-CoV2 variants.

immunology↗

bioRxiv2022

Quantitative comparison of CRISPR-Cas9-mediated mutation efficiency between mice and MEFs using digital PCR assays

The creation of mutant mice has been invaluable for advancing biomedical science, but is too time- and resource-intensive for investigating the full range of mutations and polymorphisms. Cell culture models are therefore an invaluable complement to mouse models, especially for cell-autonomous pathways like the circadian clock. In this study, we quantitatively assessed the use of CRISPR to create cell models in MEFs as compared to mouse models. We generated two point mutations in the clock genes Per1 and Per2 in mice and in MEFs using the same sgRNAs and repair templates for HDR and quantified the frequency of the mutations by digital PCR. The frequency was about an order of magnitude higher in mouse zygotes compared to that in MEFs. However, the mutation frequency in MEFs was still high enough for clonal isolation by simple screening of a few dozen individual cells. The Per mutant cells that we generated provide important new insights into the role of the PAS domain in regulating PER phosphorylation, a key aspect of the circadian clock mechanism. Accurate quantification of the mutation frequency in bulk MEF populations provides a critical basis for optimizing CRISPR protocols and time/resource planning for generating cell models for further studies.

neuroscience↗

bioRxiv2022

Ordered deployment of distinct ciliary beating machines in growing axonemes of vertebrate multiciliated cells

The beating of motile cilia requires to coordinated action of diverse machineries that include not only the axonemal dynein arms, but also the central apparatus, the radial spokes, and the microtubule inner proteins. These machines exhibit complex radial and proximodistal patterns in mature axonemes, but little is known about the interplay between them during motile ciliogenesis. Here, we describe and quantify the relative rates of axonemal deployment for these diverse cilia beating machineries during the final stages of differentiation of Xenopus epidermal multiciliated cells.

developmental biology↗

bioRxiv2022

PERIOD phosphorylation leads to feedback inhibition of CK1 activity to control circadian period

PERIOD (PER) and Casein Kinase 1{delta} regulate circadian rhythms through a phosphoswitch that controls PER stability and repressive activity in the molecular clock. CK1{delta} phosphorylation of the Familial Advanced Sleep Phase (FASP) serine cluster embedded within the Casein Kinase 1 binding domain (CK1BD) of mammalian PER1/2 inhibits its activity on phosphodegrons to stabilize PER and extend circadian period. Here, we show that the phosphorylated FASP region (pFASP) of PER2 directly interacts with and inhibits CK1{delta}. Co-crystal structures in conjunction with accelerated molecular dynamics simulations reveal how pFASP phosphoserines dock into conserved anion binding sites near the active site of CK1{delta}. Limiting phosphorylation of the FASP serine cluster reduces product inhibition, decreasing PER2 stability and shortens circadian period in human cells. We found that Drosophila PER also regulates CK1{delta} via feedback inhibition through the phosphorylated PER-Short domain, revealing a conserved mechanism by which PER phosphorylation near the CK1BD regulates CK1 kinase activity.

biochemistry↗

bioRxiv2022

Endogenous circadian reporter cell lines as an efficient platform for studying circadian mechanisms

Adverse consequences from having a faulty circadian clock include compromised sleep quality and poor performance in the short-term, and metabolic diseases and cancer in the long- term. However, our understanding of circadian disorders is limited by the incompleteness of our molecular models and our dearth of defined mutant models. Because it would be prohibitively expensive to develop live animal models to study the full range of complicated clock mechanisms, we developed Per1-luc and Per2-luc endogenous circadian reporters in a validated clock cell model, U2OS, where the genome can be easily manipulated, and functional consequences of mutations can be accurately studied. Using these reporter cells, we uncovered critical differences between two paralogs of Per and Cry, as well as working principles of the circadian phosphotimer. Our system can be used as an efficient platform to study circadian sleep disorders such as Familial Advanced Sleep Phase Syndrome (FASPS) and their underlying molecular mechanisms.

cell biology↗

bioRxiv2022

Brain Serotonergic Fibers Suggest Anomalous Diffusion-Based Dropout in Artificial Neural Networks

Random dropout has become a standard regularization technique in artificial neural networks (ANNs), but it is currently unknown whether an analogous mechanism exists in biological neural networks (BioNNs). If it does, its structure is likely to be optimized by hundreds of millions of years of evolution, which may suggest novel dropout strategies in large-scale ANNs. We propose that the brain serotonergic fibers meet some of the expected criteria because of their ubiquitous presence, stochastic structure, and ability to grow throughout the individuals lifespan. Since the trajectories of serotonergic fibers can be modeled as paths of anomalous diffusion processes, in this proof-of-concept study we investigated a dropout algorithm based on the superdiffusive fractional Brownian motion (FBM). This research contributes to biologically-inspired regularization in ANNs.

neuroscience↗