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Kang, M.

Publications and source records attributed to Kang, M..

At least 73 records · Page 4Linked to original sources

Genetic and pharmacologic alterations of claudin9 levels suffice to induce functional and mature inner hair cells

Hearing loss is the most common form of sensory deficit. It occurs predominantly due to hair cell (HC) loss. Mammalian HCs are terminally differentiated by birth, making HC loss challenging to replace. Here, we show the pharmacogenetic downregulation of Cldn9, a tight junction protein, generates robust supernumerary inner HCs (IHCs) in mice. The ectopic IHC shared functional and synaptic features akin to typical IHCs and were surprisingly and remarkably preserved for at least fifteen months >50% of the mouses life cycle. In vivo, Cldn9 knockdown using shRNA on postnatal days (P) P2-7 yielded analogous functional ectopic IHCs that were equally durably conserved. The findings suggest that Cldn9 levels coordinate embryonic and postnatal HC differentiation, making it a viable target for altering IHC development pre- and post-terminal differentiation.

neuroscience↗

Protein Kinase A is Functional Component of Focal Adhesions

Focal adhesions (FAs) form the junction between extracellular matrix (ECM)-bound integrins and the actin cytoskeleton and also transmit signals that regulate cell adhesion, cytoskeletal dynamics, and cell migration. While many of these signals are rooted in reversible tyrosine phosphorylation, phosphorylation of FA proteins on Ser/Thr residues is far more abundant yet its mechanisms and consequences are far less understood. The cAMP-dependent protein kinase (protein kinase A; PKA) has important roles in cell adhesion and cell migration and is both an effector and regulator of integrin-mediated adhesion to the ECM. Importantly, subcellular localization plays a critically important role in specifying PKA function. Here, we show that PKA is present in isolated FA-cytoskeleton complexes and active within FAs in live cells. Furthermore, using kinase-catalyzed biotinylation of isolated FA-cytoskeleton complexes, we identify fifty-three high-stringency candidate PKA substrates within FAs. From this list, we validate tensin-3 (Tns3) - a well-established molecular scaffold, regulator of cell migration, and component of focal and fibrillar adhesions - as a novel direct substrate for PKA. These observations identify a new pathway for phospho-regulation of Tns3 and, importantly, establish a new and important niche for localized PKA signaling and thus provide a foundation for further investigation of the role of PKA in the regulation of FA dynamics and signaling.

cell biology↗

The focal adhesion protein talin is a mechanically-gated A-kinase anchoring protein (AKAP)

The cAMP-dependent protein kinase (Protein Kinase A; PKA) is a ubiquitous, promiscuous kinase whose activity is focused and specified through subcellular localization mediated by A-kinase anchoring proteins (AKAPs). PKA has complex roles as both an effector and a regulator of integrin-mediated cell adhesion to the extracellular matrix (ECM). Recent observations demonstrate that PKA is an active component of focal adhesions (FA), intracellular complexes coupling ECM-bound integrins to the actin cytoskeleton, suggesting the existence of one or more FA AKAPs. Using a combination of a promiscuous biotin ligase fused to PKA type-II regulatory (RII) subunits and subcellular fractionation, we identify the archetypal FA protein talin1 as an AKAP. Talin is a large, mechanosensitive scaffold that directly links integrins to actin filaments and promotes FA assembly by recruiting additional components in a force-dependent manner. The rod region of talin1 consists of 62 -helices bundled into 13 rod domains, R1-R13. Direct binding assays and nuclear magnetic resonance spectroscopy identify helix41 in the R9 subdomain of talin as the PKA binding site. PKA binding to helix41 requires unfolding of the R9 domain, which requires the linker region between R9 and R10. Finally, single-molecule experiments with talin1 and PKA, and experiments in cells manipulated to alter actomyosin contractility demonstrate that the PKA-talin interaction is regulated by mechanical force across the talin molecule. These observations identify the first mechanically-gated anchoring protein for PKA, a new force-dependent binding partner for talin1, and thus a new mechanism for coupling cellular tension and signal transduction.

cell biology↗

Differential expression of tension-sensitive HOX genes in fibroblasts is associated with different scar types

A scar is considered a natural consequence of the wound-healing process. However, the mechanism by which scars form remains unclear. Here, we suggest a new mechanism of wound healing and scar formation that involves the mechanosensitive regulation of HOX genes. RNA-sequencing of fibroblasts from different types of scars revealed differential HOX gene expression. Computational simulations predicted injury-induced tension loss in the skin, and in vitro experiments revealed a negative correlation between tension and fibroblast proliferation. Remarkably, exogenous tensile stress in fibroblasts has been shown to alter HOX gene expression levels in different scar types. Overall, we propose a model for normal wound healing and scar formation and show that successful wound healing requires tensional homeostasis in the skin tissue, which is regulated by tension-sensitive HOX genes.

cell biology↗

Local administration of a novel siRNA modality into the CNS extends survival and improves motor function in the SOD1G93A mouse model for ALS

Antisense oligonucleotides (ASOs) were the first modality to pioneer targeted gene knockdown in the treatment of ALS caused by mutant superoxide dismutase 1 (SOD1). RNA interference (RNAi) is another mechanism of gene silencing with historically superior potency in which short interfering RNAs (siRNAs) guide the RNA-induced silencing complex (RISC) to cleave complementary transcripts. However, delivery to extrahepatic tissues like the central nerve system (CNS) has been a bottleneck in the clinical development of RNAi. Herein, we identify potent siRNA duplexes for the knockdown of human SOD1 (hSOD1) in which medicinal chemistry and conjugation to an accessory oligonucleotide (ACO) enables durable and potent activity in CNS tissues. Local delivery via intracerebroventricular (ICV) or intrathecal (IT) injection into SOD1G93A mice delayed disease progression and extended animal survival with superior efficacy compared to an ASO compound resembling Tofersen in sequence and chemistry. Treatment also prevented disease-related declines in motor function including improvements in animal mobility, muscle strength, and coordination. The ACO itself does not target any specific complementary nucleic acid sequence; rather, it imparts benefits conducive to bioavailability and delivery through its chemistry. The complete conjugate (i.e., siRNA-ACO) represents a novel modality for delivery of RNAi to the CNS in which we aim to pursue ALS as an exemplary indication for clinical development.

cell biology↗

The pan-genome and local adaptation of Arabidopsis thaliana

Arabidopsis thaliana has been used as a model species for research in a diverse collection of plant species. However, previous studies based on single reference genomes and short-read sequencing data are restricted to detecting variable genes and large structural variation (SV) underlying local adaptation. Here we de novo assemble high-quality chromosomal genomes of 38 A. thaliana ecotypes (with 6 relict ones) using PacBio-HiFi long-read sequencing. From these newly assembled genomes, we annotate several thousand new genes through pan-genomic analysis in comparison to the previous reference genome. The identified variable genes are mainly enriched in and associated with ecological adaptation and this species substantially expands its gene repertoire for local adaptation. We construct a graph-based pan-genome and identify 62,525 SVs which overlap with 14,243 genes. These genes are enriched in multiple ecological adaptation functions, including secondary metabolic processes, enzyme regulation, and biotic/abiotic stimulus. For example, a 566 bp insertion in the promoter of the light-adaptation KNAT3 gene was specific to the high-altitude relict Tibet-0 ecotype. This SV reduces the expression level of KNAT3 and promotes A. thaliana adaptation to habitats high in light radiation. In addition, compared with the SNPs, the SVs identified in this study captured the missing heritability and we detected novel SV associations with environmental variables in their native range, highlighting the value of SVs in environmental adaptation. The genome resources presented here will help pinpoint genetic changes that include both SVs and the ecotype-specific genes for local adaptation of A. thaliana and increase our understanding of the molecular mechanisms in this model species to respond to varied habitats.

genomics↗

Developing a standardized but extendable framework to increase the findability of infectious disease datasets

Biomedical datasets are increasing in size, stored in many repositories, and face challenges in FAIRness (findability, accessibility, interoperability, reusability). As a Consortium of infectious disease researchers from 15 Centers, we aim to adopt open science practices to promote transparency, encourage reproducibility, and accelerate research advances through data reuse. To improve FAIRness of our datasets and computational tools, we evaluated metadata standards across established biomedical data repositories. The vast majority do not adhere to a single standard, such as Schema.org, which is widely-adopted by generalist repositories. Consequently, datasets in these repositories are not findable in aggregation projects like Google Dataset Search. We alleviated this gap by creating a reusable metadata schema based on Schema.org and catalogued nearly 400 datasets and computational tools we collected. The approach is easily reusable to create schemas interoperable with community standards, but customized to a particular context. Our approach enabled data discovery, increased the reusability of datasets from a large research consortium, and accelerated research. Lastly, we discuss ongoing challenges with FAIRness beyond discoverability.

bioinformatics↗

Protein Kinase A Activity In The Leading Edge Of Migrating Cells Is Dependent On The Activity Of Focal Adhesion Kinase

Protein Kinase A (PKA) is a pleiotropic serine/threonine kinase whose localized and dynamic activity is required for cellular migration. Several cell types have shown robust PKA activity in the leading edge during migration. This activity is regulated by changes in actomyosin contractility, but the mechanism of the mechanochemical regulation of PKA remains unclear. Our ongoing investigation into this mechanism led us to discover a novel relationship between PKA and the non-receptor tyrosine kinase Focal Adhesion Kinase (FAK). Here, we find that while inhibition of actomyosin contractility leads to a relatively slow decrease in total cellular levels of phosphorylated FAK over tens of minutes, it decreases the focal adhesion-associated pool of both phospho-FAK and phospho-paxillin within two minutes, similar to the timing of the effect of inhibition of contractility on leading edge PKA activity. We then show that pharmacologic inhibition of FAK rapidly decreases leading edge PKA activity. Additionally, leading edge PKA activity is significantly reduced in FAK-null mouse embryonic fibroblasts and essentially eliminated by also silencing expression of the closely-related kinase Pyk2 in these cells. Importantly, leading edge PKA activity in FAK-null cells is rescued by re-expression of wild-type but not kinase-dead FAK. Taken together, these observations show that FAK activity is required for localized regulation of PKA during cell migration and, in so doing, establish a novel and unexpected connection between an adhesion-regulated tyrosine kinase and a serine/threonine kinase canonically downstream of G-protein coupled receptor and second-messenger signaling.

cell biology↗

Robust alignment of single-cell and spatial transcriptomes with CytoSPACE

Recent studies have emphasized the importance of single-cell spatial biology, yet available assays for spatial transcriptomics have limited gene recovery or low spatial resolution. Here we introduce CytoSPACE, a method for aligning single-cell and spatial transcriptomes via convex linear optimization. Across diverse platforms and tissue types, we show that CytoSPACE outperforms previous methods with respect to noise-tolerance, accuracy, and efficiency, enabling improved analysis of spatial transcriptomics data at single-cell resolution.

genomics↗

Hi-LASSO: High-performance Python and Apache spark packages for feature selection with high-dimensional data

High-dimensional LASSO (Hi-LASSO) is a powerful feature selection tool for high-dimensional data. Our previous study showed that Hi-LASSO outperformed the other state-of-the-art LASSO methods. However, the substantial cost of bootstrapping and the lack of experiments for a parametric statistical test for feature selection have impeded to apply Hi-LASSO for practical application. In this paper, the Python package and its Spark library are efficiently implemented in a parallel manner for practice with real-world problems, as well as providing the capability of the parametric statistical tests for feature selection on high-dimensional data. We demonstrate Hi-LASSOs outperformance with various intensive experiments in a practical manner. Hi-LASSO will be efficiently and easily performed by using the packages for feature selection. Hi-LASSO packages are publicly available at https://github.com/datax-lab/Hi-LASSO under the MIT license. The packages can be easily installed by Python PIP, and additional documentation is available at https://pypi.org/project/hi-lasso and https://pypi.org/project/Hi-LASSO-spark. Author summaryWe provide the brief presentation in the literature of Hi-LASSO comparing to Random LASSO. Then, we describe Hi-LASSOs open-source packages in Python and Apache Spark, specifying parameters. The open-source packages improves efficiency and scalability of Hi-LASSO, so that the time-consuming bootstrapping-based parametric statistical test can be practically applied for high-dimensional data. We conducted intensive experiments to assess the performance of the packages with the parametric statistical test using simulation data, semi-real datasets, and TCGA cancer dataset. The Hi-LASSO packages showed outstanding and robust performance in feature selection. The packages are available through PyPI and can be easily installed using Python PIP.

bioinformatics↗

Gallbladder adenocarcinomas undergo subclonal diversification and selection from precancerous lesions to metastatic tumors

We aimed to elucidate the evolutionary trajectories of gallbladder adenocarcinoma (GBAC) using multi-regional and longitudinal tumor samples. Using whole-exome sequencing data, we constructed phylogenetic trees in each patient, and analyzed mutational signatures. A total of 11 patients including 2 rapid autopsy cases were enrolled. The most frequently altered gene in primary tumors was ERBB2 (54.5%), followed by TP53 (45.5%), and FBXW7 (27.3%). Most mutations in frequently altered genes in primary tumors were detectable in concurrent precancerous lesions (biliary intraepithelial neoplasia, BilIN), but some of them were subclonal. Subclonal diversity was common in BilIN (n=4). However, among subclones in BilIN, a certain subclone commonly shrank in concurrent primary tumors. In addition, selected subclones underwent linear and branching evolution, maintaining subclonal diversity. In combined analysis with metastatic tumors (n=11), branching evolution was identified in 9 (81.8%) patients. Of these, 8 patients (88.9%) had a total of 11 subclones expanded at least 7-fold during metastasis. These subclones harbored putative metastasis-driving mutations in tumor suppressor genes such as SMAD4, ROBO1, and DICER1. In mutational signature analysis, 6 mutational signatures were identified: 1, 3, 7, 13, 22, and 24 (cosine similarity >0.9). Signatures 1 (age) and 13 (APOBEC) decreased during metastasis while signatures 22 (aristolochic acid) and 24 (aflatoxin) were relatively highlighted. Subclonal diversity arose early in precancerous lesions and the clonal selection was a common event during malignant transformation in GBAC. However, selected cancer clones continued to evolve and thus maintained subclonal diversity in metastatic tumors.

genetics↗

Existence of blood circulating immune-cell clusters (CICs) comprising antigen-presenting cells and B cells

Cell-to-cell physical interactions are involved in almost every physiological processes in multicellular organisms. Although the dynamics of these interactions could be highly diverse and complex in many circumstances, certain cell-to-cell interactions among immune cells have been well studied due importance in understanding disease pathogenesis and immune therapy development1. Dendritic cells (DCs) and B cells are directly involved in adaptive immune response against pathogens. Interaction mechanism between these two celltypes is well-known to occur in germinal centers either indirectly via helper T (Th) cells or directly via cell contact. However, there are animal in vitro and in vivo evidence that such direct DC-to-B cell contact can occur outside germinal centers like in peripheral blood or collagen matrix and display antiviral immune-related activity2,3. Here, we provide evidence that certain types of antigen presenting cells (APCs) can form robust cell clusters with B cells and circulate in blood. From healthy human blood immune single cell RNA-seq datasets, we detected APC subpopulations (0.34{+/-}0.19% of total PBMCs) that were also enriched with well-known naive B cell markers. We visually observed DC:B doublets and multiplets ([~]0.69% of total live PBMCs) in wildtype mouse blood using flow cytometry and microscopic imaging, thus proving the existence of circulating immune-cell clusters (CICs) composed of APCs and B cells. BCR repertoire of these healthy mouse CICs were similar to circulating B cells. Noticeably, frequency of these APC:B CICs were higher COVID-19 patients than healthy donors and their B cell subtype composition (e.g. naive, plasmablast, IgM+, IgG+) varied with disease severity.

immunology↗

Ultramicrobacteria in various fermented cabbages

Little is known about the ultramicrobial communities of foods. Several bacteria, including pathogenic species, can form ultramicrobial communities when exposed to harsh conditions, making their detection via conventional culture techniques difficult. This study aimed to explore ultramicrobial communities within the microbial communities of fermented cabbage products, such as kimchi, sauerkraut, and suancai, which are produced through specific manufacturing methods based on the laws and culture of respective regions. We used single-molecule real-time sequencing with tangential flow filtration for fermented cabbages after pre-filtration and transmission electron microscopy to confirm the identity of ultramicrobacteria (UMB).To the best of our knowledge, this is the first study to identify the differences between ultramicrobial communities and microbial communities of fermented cabbages. Although the size of the ultramicrobial communities was smaller than that of the latter, their diversity was not lower. In addition, some UMB underwent cell shrinkage due to unfavorable environments, while others maintained their small size regardless. Major pathogens were not detected in the ultramicrobial communities of fermented cabbages. Nevertheless, several suspicious strains were detected. Our method can be used to screen food materials for the presence of UMB undetectable via conventional methods. Ultramicrobial and microbial communities were efficiently separated using tangential flow filtration and analyzed via single-molecule real-time sequencing. The ultramicrobial communities of fermented vegetables were different from conventional microbial communities. This study provides new insights into the ecology of UMB in foods.

microbiology↗

Restoring single-molecule localizations with wavefront sensing adaptive optics for deep-tissue super-resolution imaging

The specimen-induced aberration has been a major factor limiting the imaging depth of single-molecule localization microscopy (SMLM). Here, we report the application of label-free wavefront sensing adaptive optics to SMLM for deep-tissue super-resolution imaging. The proposed system measures complex tissue aberrations from intrinsic reflectance rather than fluorescence emission and physically corrects the wavefront distortion more than three-fold stronger than the previous limit. This enables us to resolve sub-diffraction morphologies of cilia and oligodendrocytes in whole intact zebrafish as well as dendritic spines in thick mouse brain tissues at the depth of up to 102 m with localization number enhancement by up to 37 times and localization precision comparable to aberration-free samples. The proposed approach can expand the application range of SMLM to intact animals that cause the loss of localization points owing to severe tissue aberrations.

cancer biology↗

Single-cell RNA-sequencing of Nicotiana attenuata petal cells reveals the entire biosynthetic pathway of a floral scent

High-throughput single-cell RNA sequencing (scRNA-seq) identifies distinct cell populations based on cell-to-cell heterogeneity in gene expression. By examining the distribution of the density of gene expression profiles, the metabolic features of each cell population can be observed. Here, we employ the scRNA-seq technique to reveal the entire biosynthetic pathway of a flower volatile. The corolla (petals) of the wild tobacco Nicotiana attenuata emits a bouquet of scents that are composed mainly of benzylacetone (BA), a rare floral volatile. Protoplasts from the N. attenuata corolla were isolated at three different time points, and the transcript levels of >16,000 genes were analyzed in 3,756 single cells. We performed unsupervised clustering analysis to determine which cell clusters were involved in BA biosynthesis. The biosynthetic pathway of BA was uncovered by analyzing gene co-expression in scRNA-seq datasets and by silencing candidate genes in the corolla. In conclusion, the high-resolution spatiotemporal atlas of gene expression provided by scRNA-seq reveals the molecular features underlying cell-type-specific metabolism in a plant.

plant biology↗

Widespread multi-targeted therapy resistance via drug-induced secretome fucosylation

Cancer secretome is a reservoir for aberrant glycosylation. How therapies alter this post-translational cancer hallmark and the consequences thereof remain elusive. Here we show that an elevated secretome fucosylation is a pan-cancer signature of both response and resistance to multiple targeted therapies. Large-scale pharmacogenomics revealed that fucosylation genes display widespread association with resistance to these therapies. In both cancer cell cultures and patients, targeted kinase inhibitors distinctively induced core fucosylation of secreted proteins less than 60 kDa. Label-free proteomics of N-glycoproteomes revealed that fucosylation of the antioxidant PON1 is a critical component of the therapy-induced secretome. Core fucosylation in the Golgi impacts PON1 stability and folding prior to secretion, promoting a more degradation-resistant PON1. Non-specific and PON1-specific secretome de-N-glycosylation both limited the expansion of resistant clones in a tumor regression model. Our findings demonstrate that core fucosylation is a common modification indirectly induced by targeted therapies that paradoxically promotes resistance.

cancer biology↗

Agency rescues competition for credit assignment among predictive cues from adverse learning conditions

A fundamental assumption of learning theories is that the credit assigned to predictive cues is not simply determined by their probability of reinforcement, but by their ability to compete with other cues present during learning. This assumption has guided behavioral and neural science research for decades, and tremendous empirical and theoretical advances have been made identifying the mechanisms of cue competition. However, when learning conditions are not optimal (e.g., when training is massed), credit assignment is no longer competitive. This is a catastrophic failure of the learning system that exposes the individuals vulnerability to form spurious associations in the real world. Here, we uncover that cue competition can be rescued when conditions are suboptimal provided that the individual has agency over the learning experience. Our findings reveal a new connection between agency over learning and credit assignment to cues, and open new avenues of investigation into the underlying mechanisms.

animal behavior and cognition↗

Human spinal cord organoids exhibiting neural tube morphogenesis for a quantifiable drug screening system of neural tube defects

The human spinal cord forms well-organized neural circuits for environment sensing and motor behavior. The three-dimensional (3D) induction of the spinal cord-like tissue from human pluripotent stem cells has been reported, but they often do not mimic morphological features of neurulation and their maturity is limited. Here, we report an advanced 3D culture system for the production of human spinal cord-like organoids (hSCOs) suitable for the scale-up and quantitative studies. The hSCOs exhibited many aspects of spinal cord development, including neurulation-like tube-forming morphogenesis, differentiation of the major spinal cord neurons and glial cells, and mature synaptic functional activities. We further demonstrated that hSCOs platform allowed quantitative and systematic high-throughput examination of the potential risk of neural tube defects induced by antiepileptic drugs. Thus, hSCOs can be used for understanding human spinal cord development, disease modeling, and toxicology screening.

cell biology↗