Biology subjects

Kato, M.

Publications and source records attributed to Kato, M..

At least 55 records · Page 3Linked to original sources

bioRxiv2023

Intra and interspecific diversity in a tropical plant clade alter herbivory and ecosystem resilience

Declines in biodiversity generated by anthropogenic stressors at both species and population levels can alter emergent processes instrumental to ecosystem function and resilience. As such, understanding the role of biodiversity in ecosystem function and its response to climate perturbation is increasingly important, especially in tropical systems where responses to changes in biodiversity are less predictable and more challenging to assess experimentally. Using large scale transplant experiments conducted at five neotropical sites, we documented the impacts of changes in intraspecific and interspecific plant richness in the genus Piper on insect herbivory, insect richness, and ecosystem resilience to perturbations in water availability. We found that reductions of both intraspecific and interspecific Piper diversity had measurable and site specific effects on herbivory, herbivorous insect richness, and plant mortality. The responses of these ecosystem-relevant processes to reduced intraspecific Piper richness were often similar in magnitude to the effects of reduced interspecific richness. Increased water availability reduced herbivory by 4.2% overall, and the response of herbivorous insect richness and herbivory to water availability were altered by both intra and interspecific richness in a site dependent manner. Our results underscore the role of intraspecific and interspecific richness as foundations of ecosystem function and the importance of community and location specific contingencies in controlling function in complex tropical systems.

ecology↗

bioRxiv2023

In vivo reprogramming of wound-resident cells generates skin with hair

Summary ParagraphMammalian skin appendages, such as hair follicles and sweat glands, are complex mini-organs formed during skin development1, 2. As wounds heal, the resulting scar tissue lacks skin appendages. The clinical regeneration of skin appendages is an ongoing challenge3, 4. Skin epithelial tissues have been regenerated in vivo by cellular reprogramming5, 6, but the de novo generation of skin appendages has not previously been achieved. Here, we show that transplantation of a type of epithelial cell and two types of mesenchymal cells, reprogrammed from adult mouse subcutaneous mesenchymal cells to mimic developing skin cells, resulted in the generation of skin-appendage-like structures. Furthermore, with the development of a new AAV serotype, in vivo reprogramming of wound-resident cells with the same reprogramming factors generates skin with de novo appendages in adult mice. These findings may provide new therapeutic avenues for skin regeneration and frequent aging-associated skin appendage disorders, such as hair loss and dry skin, and may extend to other tissues and organs. This study also provides the potential for de novo generation of complex organs in vivo.

cell biology↗

bioRxiv2023

Redox-active compound generated by bacterial crosstalk induces hypha branching in Streptomyces species

Chemical cross talks between Mycolicibacterium septicum HEK138M and Bacillus subtilis 168 affect the bacterial morphology of Streptomyces variegatus HEK138A. We found that S. variegatus exhibits unusual hyphae branching by the bacterial interaction. We aimed to elucidate the mechanism by performing activity guided purification of substances that induce the unusual cell morphology. We found that pyrogallol, a redox active aromatic small molecule induced significant hyphae branching in S. variegatus and the activity was also observed in some of other Streptomyces species. Interestingly, the pyrogallol activity was diminished by adding catalase, which broke down H2O2. To further confirm the involvement, H2O2 was tested and similar activity which induced hyphal branching was observed. This indicates that reactive oxygen species (ROS) generated by redox-active compound (RAC) is the inducing factor of hyphae branching. Further investigation revealed that pyrogallol was generated by NahG enzyme homolog of M. septicum using 2,3-dihydroxybenzoic acid as substrate by heterologous expression in E. coli. Moreover, co-culture with gene knock-out mutants revealed that 2,3-dihydroxybenzoic acid was supplied by B. subtilis produced as intermediate of bacterial siderophore bacillibactin. Since the hyphae branching of vegetative mycelium can increase the density of filamentous network and consequently help secure the milieu in soil, our results suggested that those filamentous soil bacteria use ROS which can be supplied from plant derived RAC as a signal. As those RAC ubiquitously exist in soil environment, the system will be beneficial for sensing the nutrient sources in addition to the generally considered defensive response to oxidative stress. ImportanceThe characterization of interactions between three or more bacteria are lacking as these interactions are visually imperceptible in general. Our current study revealed changes of morphological behavior by the bacterial interaction. This study showed that hydrogen peroxide generated by redox-active compound derived from a breakdown product of siderophore can significantly increase the number of hyphae tip extension in filamentous bacteria. Our result implies the existence of oxidative response system using a low amount of reactive oxygen species as an integrated signal to sense the plant-derived carbon source by the filamentous soil bacteria. As a result of sensing, filamentous soil bacteria may decide whether the hypha tip should be extended to further explore the area or increase the tips to densify filamentous network to monopolize the nutrients in the milieu.

microbiology↗

bioRxiv2022

Granule cells affect dendritic tree selection in purkinje cells during cerebellar development

This study investigates the interrelationship between primary dendrite selection of Purkinje cells and migration of their pre-synaptic partner granule cells during cerebellar development. During development of the cerebellar cortex, each Purkinje cell grows more than three dendritic trees, from which a primary tree is selected to develop further, whereas the others completely retract. Experimental studies suggest that this selection process is coordinated by physical and synaptic interactions with granule cells. However, technical limitations hinder a continuous experimental observation of multiple populations. To reveal the mechanism underlying this selection process, we constructed a computational model of dendritic developments and granule cell migrations, using a new computational framework, NeuroDevSim. Comparisons of the resulting morphologies from the model demonstrate the roles of the selection stage in regulating the growth of the selected primary trees. The study presents the first computational model that simultaneously simulates growing Purkinje cells and the dynamics of granule cell migrations, revealing the role of physical and synaptic interactions upon dendritic selection. The model provides new insights about the distinct planar morphology of Purkinje cell dendrites and about roles of the dendritic selection process during the cerebellar development. The model also supports the hypothesis that synaptic interactions by granule cells are likely to be involved in the selection procedure. Author SummaryThe mature structure of a Purkinje cell, the main neuron of the cerebellum, is composed of a large flat dendritic tree composed of a single or sometimes 2 primary dendrites. However, this neuron has multiple similar trees during development, and retracts most of them to select its primary tree. We aim to explore roles of this developmental process as either an important step to attain optimal morphology or merely a redundant step to be eliminated by evolution in the future. We especially focused on environmental interactions on Purkinje cells as criteria to select the dendritic tree, hypothesizing that developing an efficient network with other neurons is one of the main goals of neuronal morphology. We constructed and used computational models to investigate detailed physical interactions and communications between Purkinje cells and their environment. Comparisons of models suggest the role of the selection stage is to obtain favorable growth of primary trees.

neuroscience↗

bioRxiv2022

Uncovering Hidden Enhancers Through Unbiased In Vivo Testing

Transcriptional enhancers are a predominant class of noncoding regulatory elements that activate cell type-specific gene expression. Tissue-specific enhancer-associated chromatin signatures have proven useful to identify candidate enhancer elements at a genome-wide scale, but their sensitivity for the comprehensive detection of all enhancers active in a given tissue in vivo remains unclear. Here we show that a substantial proportion of in vivo enhancers are hidden from discovery by conventional chromatin profiling methods. In an initial comparison of over 1,200 in vivo validated tissue-specific enhancers with tissue-matched mouse developmental epigenome data, 14% (n=286) of active enhancers did not show canonical enhancer-associated chromatin signatures in the tissue in which they are active. To assess the prevalence of enhancers not detectable by conventional chromatin profiling approaches in more detail, we used a high throughput transgenic enhancer reporter assay to systematically screen over 1.3 Mb of mouse genomic sequence at two critical developmental loci, assessing a total of 281 consecutive 5kb regions for in vivo enhancer activity in mouse embryos. We observed reproducible enhancer-reporter activity in 88 tissue-specific elements, 26% of which did not show canonical enhancer-associated chromatin signatures in the corresponding tissues. Overall, we find these hidden enhancers are indistinguishable from marked enhancers based on levels of evolutionary conservation, enrichment of transcription factor families, and genomic positioning relative to putative target genes. In combination, our retrospective and prospective studies assessed only 0.1% of the mouse genome and identified 309 tissue-specific enhancers that are hidden from current chromatin-based enhancer identification approaches. Our findings suggest the existence of tens of thousands of active enhancers throughout the genome that remain undetected by current chromatin profiling approaches and are an unappreciated source of additional genome function of import in interpreting growing whole human genome sequencing data.

genomics↗

bioRxiv2022

The high-throughput perturbation of long non-coding RNA reveals functional features in stem cells and across cell-types

Within the scope of FANTOM6 consortium, we perform a large-scale knockdown of 200 long non-coding RNAs (lncRNAs) in human induced pluripotent stem (iPS) cells, and systematically characterize their roles in self-renewal and pluripotency. We find 36 lncRNAs (18%) exhibiting cell growth inhibition From the knockdown of 123 lncRNAs with transcriptome profiling, 36 lncRNAs (29.3%) show molecular phenotypes. Integrating the molecular phenotypes with chromatin-interaction assays further reveals cis- and trans-interacting partners as potential primary targets. Additionally, cell type enrichment analysis identifies lncRNAs associated with pluripotency while the knockdown of LINC02595, CATG00000090305.1 and RP11-148B6.2 modulates colony formation of iPS cells. We compare our results with previously published fibroblasts phenotyping data and find that 2.9% of the lncRNAs exhibit consistent cell growth phenotype, whereas we observe 58.3% agreement in molecular phenotypes. This highlights molecular phenotyping is more comprehensive in revealing affected pathways.

genomics↗

bioRxiv2022

Affective arousal explains infant gaze following under various social context

Gaze following is fundamental to human sociocognitive development, such as language and cultural learning. Previous studies have revealed that infant gaze following is not a reflexive orienting to adults eye movement. Instead, infants adaptively modulate gaze following behaviour depending on social contexts. However, the neurophysiological mechanisms underlying contextual modulation of gaze following remain unclear. We tested whether contextual modulation of infant gaze following is mediated by the infants heart rate, which is hypothesised to indicate the calculation of action value. Forty-one 6- to 9-month-old infants participated in this study. Infants observed either a reliable face, which gazed toward the location of an object, or an unreliable face, which gazed away from the location of an object. Then, the infants watched a video of the same model making eye contact or not showing any ostensive signals, before shifting her gaze toward one of two objects. We revealed that reliability and eye contact independently increased heart rates, which then fully mediate the effect of these social cues on the frequency of infant gaze following. Results suggest that each social cue independently enhances physiological arousal which then accumulatively predicts the likelihood of infant gaze following behaviour.

animal behavior and cognition↗

bioRxiv2021

Acoustic camera system for measuring ultrasound communication in mice

To investigate molecular, genetic, and neural mechanisms underlying social behaviors and their deficits in neuropsychiatric disorders, social communication via ultrasonic vocalizations (USVs) in mice has received considerable attention as a powerful experimental model. The advances in sound localization technology have facilitated the analysis of vocal interactions between multiple mice. However, existing sound localization systems are built around distributed-microphone arrays, which require a special recording arena and long processing time. Here we report a novel acoustic camera system, USVCAM, which enables simpler and faster USV localization and assignment. The system comprises recently developed USV segmentation algorithms with a modification for overlapping vocalizations that results in high accuracy. Using USVCAM, we analyzed USV communications in a conventional home cage, and demonstrated novel vocal interactions in female ICR mice under a resident-intruder paradigm. The extended applicability and usability of USVCAM may facilitate future studies investigating normal and abnormal vocal communication and social behaviors, as well as the underlying physiological mechanisms.

neuroscience↗

bioRxiv2021

Glutamine deficiency in solid tumors confers resistance to ribosomal RNA synthesis inhibitors

Ribosome biogenesis involves the processing of precursor ribosomal RNAs (pre-rRNAs) and sequential assembly with ribosomal proteins. Here we report that nutrient deprivation severely impairs pre-rRNA processing and leads to the accumulation of unprocessed rRNAs. Upon nutrient restoration, the accumulated pre-rRNAs are processed into mature rRNAs that are utilized for ribosome biogenesis. Failure to accumulate pre-rRNAs under nutrient deprivation leads to perturbed ribosome assembly during nutrient restoration and subsequent apoptosis via uL5/uL18-mediated activation of p53. Restoration of glutamine alone activates p53 by triggering uL5/uL18 translation. Induction of uL5/uL18 protein synthesis by glutamine was dependent on the translation factor eukaryotic elongation factor 2 (eEF2), which was in turn dependent on Raf/MEK/ERK signalling. Depriving cells of glutamine prevents the activation of p53 by rRNA synthesis inhibitors. Our data reveals a mechanism that cancer cells can exploit to suppress p53-mediated apoptosis during fluctuations in environmental nutrient availability.

cancer biology↗

bioRxiv2021

Combined free energy calculation and machine learning methods for understanding ligand unbinding kinetics

The determination of drug residence times, which define the time an inhibitor is in complex with its target, is a fundamental part of the drug discovery process. Synthesis and experimental measurements of kinetic rate constants are, however, expensive, and time-consuming. In this work, we aimed to obtain drug residence times computationally. Furthermore, we propose a novel algorithm to identify molecular design objectives based on ligand unbinding kinetics. We designed an enhanced sampling technique to accurately predict the free energy profiles of the ligand unbinding process, focusing on the free energy barrier for unbinding. Our method first identifies unbinding paths determining a corresponding set of internal coordinates (IC) that form contacts between the protein and the ligand, it then iteratively updates these interactions during a series of biased molecular-dynamics (MD) simulations to reveal the ICs that are important for the whole of the unbinding process. Subsequently, we performed finite temperature string simulations to obtain the free energy barrier for unbinding using the set of ICs as a complex reaction coordinate. Importantly, we also aimed to enable further design of drugs focusing on improved residence times. To this end, we developed a supervised machine learning (ML) approach with inputs from unbiased "downhill" trajectories initiated near the transition state (TS) ensemble of the string unbinding path. We demonstrate that our ML method can identify key ligand-protein interactions driving the system through the TS. Some of the most important drugs for cancer treatment are kinase inhibitors. One of these kinase targets is Cyclin Dependent Kinase 2 (CDK2), an appealing target for anticancer drug development. Here, we tested our method using two different CDK2 inhibitors for potential further development of these compounds. We compared the free energy barriers obtained from our calculations with those observed in available experimental data. We highlighted important interactions at the distal ends of the ligands that can be targeted for improved residence times. Our method provides a new tool to determine unbinding rates, and to identify key structural features of the inhibitors that can be used as starting points for novel design strategies in drug discovery.

biophysics↗

bioRxiv2021

The Low Complexity Domain of the FUS RNA Binding Protein Self-assembles via the Mutually Exclusive Use of Two Distinct Cross-β Cores

The low complexity (LC) domain of the fused in sarcoma (FUS) RNA binding protein self-associates in a manner causing phase separation from an aqueous environment. Incubation of the FUS LC domain under physiologically normal conditions of salt and pH leads to rapid formation of liquid-like droplets that mature into a gel-like state. Both examples of phase separation have enabled reductionist biochemical assays allowing discovery of an N-terminal region of 56 residues that assembles into a labile, cross-{beta} structure. Here we provide evidence of a non-overlapping, C-terminal region of the FUS LC domain that also forms specific cross-{beta} interactions. We propose that biologic function of the FUS LC domain may operate via the mutually exclusive use of these N- and C-terminal cross-{beta} cores. Neurodegenerative disease-causing mutations in the FUS LC domain are shown to imbalance the two cross-{beta} cores, offering an unanticipated concept of LC domain function and dysfunction. Significance StatementSingle amino acid changes causative of neurologic disease often map to the cross-{beta} forming regions of low complexity (LC) domains. All such mutations studied to date lead to enhanced avidity of cross-{beta} interactions. The LC domain of the fused in sarcoma (FUS) RNA binding protein contains three different regions that are capable of forming labile cross-{beta} interactions. Here we describe the perplexing effect of amyotrophic lateral sclerosis (ALS)-causing mutations localized to the LC domain of FUS to substantially weaken its ability to form one of its three cross-{beta} interactions. An understanding of how these mutations abet uncontrolled polymerization of the FUS LC domain may represent an important clue as to how LC domains achieve their proper biological function.

biochemistry↗

bioRxiv2021

A Novel Hypothalamic Factor, Neurosecretory Protein GM, Causes Fat Deposition in Chicks

We recently discovered a novel cDNA encoding the precursor of a small secretory protein, neurosecretory protein GM (NPGM), in the mediobasal hypothalamus of chickens. Although our previous study showed that subcutaneous infusion of NPGM for 6 days increased body mass in chicks, the chronic effect of intracerebroventricular (i.c.v.) infusion of NPGM remains unknown. In this study, chronic i.c.v. infusion of NPGM for 2 weeks significantly increased body mass, water intake, and the mass of abdominal fat in chicks, whereas NPGM did not affect food intake, muscle mass, or blood glucose concentration. Morphological analyses revealed that fat accumulation occurred in both liver and abdominal fat. These results indicate that NPGM may participate in fat storage in chicks.

physiology↗

bioRxiv2021

Potentially translated sequences determine protein-coding potential of RNAs in cellular organisms

Recent studies have identified numerous RNAs that are functionally both coding and noncoding. However, the sequence characteristics that determine bifunctionality remain largely unknown. In this study, we developed and tested a potentially translated island (PTI) score, defined as the occupancy of the longest open reading frame (ORF) among all putative ORFs. We found that this score correlated with translation, including noncoding RNAs. In bacteria and archaea, coding and noncoding transcripts had narrow distributions of high and low PTI scores, respectively, whereas those of eukaryotes showed relatively broader distributions, with considerable overlap between coding and noncoding transcripts. The extent of overlap positively and negatively correlated with the mutation rates of genomes and effective population sizes of species, respectively. These overlaps were significantly increased in threatened species. In macroevolution, the appearance of the nucleus and multicellularity seem to have influenced the overlap of PTI score distributions, so that the probability of the existence of bifunctional RNAs is increased in eukaryotes. In mammalian testes, we observed an enrichment of noncoding RNAs with high PTI scores, which are candidates for bifunctional RNAs. These results suggest that the decrease in population size and the emergence of testes in eukaryotic multicellular organisms allow for the stable existence of bifunctional RNAs, consequently increasing the probability of the birth of novel coding and non-coding RNAs.

evolutionary biology↗

bioRxiv2021

Genome-wide association study of gastric cancer- and duodenal ulcer-derived Helicobacter pylori strains reveals discriminatory amino acid differences and novel oncoprotein candidates

Genome-wide association studies (GWASs) can reveal genetic variations associated with a phenotype in the absence of any hypothesis of candidate genes. The problem of false-positive sites linked with the responsible site might be bypassed in bacteria with a high homologous recombination rate, such as Helicobacter pylori, which causes gastric cancer (GC). We conducted a GWAS followed by regression-based prediction of GC and duodenal ulcer H. pylori strains. We identified 14 single nucleotide polymorphisms (11 amino acid changes) that, combined, allowed effective disease discrimination. They were often informative of the underlying molecular mechanisms, such as electric charge alteration at the ligand-binding pocket, alteration in subunit interaction, and mode-switching of DNA methylation. We also identified three novel virulence factors/oncoprotein candidates. These results provide both defined targets for further informatic and experimental analyses to gain insights into GC pathogenesis and a basis for identifying a set of biomarkers for application in clinical settings.

physiology↗

bioRxiv2021

Genome evolution of a non-parasitic secondary heterotroph, the diatom Nitzschia putrida

Secondary loss of photosynthesis is observed across almost all plastid-bearing branches of the eukaryotic tree of life. However, genome-based insights into the transition from a phototroph into a secondary heterotroph have so far only been revealed for parasitic species. Free-living organisms can yield unique insights into the evolutionary consequence of the loss of photosynthesis, as the parasitic lifestyle requires specific adaptations to host environments. Here we report on the diploid genome of the free-living diatom Nitzschia putrida (35 Mbp), a non-photosynthetic osmotroph whose photosynthetic relatives contribute ca. 40% of net oceanic primary production. Comparative analyses with photosynthetic diatoms revealed that a combination of genes loss, the horizontal acquisition of genes involved in organic carbon degradation, a unique secretome and the rapid divergence of conserved gene families involved in cell wall and extracellular metabolism appear to have facilitated the lifestyle of a non-parasitic, free-living secondary heterotroph.

genomics↗

bioRxiv2020

Mutation-specific pathophysiological mechanisms define different neurodevelopmental disorders associated with SATB1 dysfunction

Whereas large-scale statistical analyses can robustly identify disease-gene relationships, they do not accurately capture genotype-phenotype correlations or disease mechanisms. We use multiple lines of independent evidence to show that different variant types in a single gene, SATB1, cause clinically overlapping but distinct neurodevelopmental disorders. Clinical evaluation of 42 individuals carrying SATB1 variants identified overt genotype-phenotype relationships, associated with different pathophysiological mechanisms, established by functional assays. Missense variants in the CUT1 and CUT2 DNA-binding domains result in stronger chromatin binding, increased transcriptional repression and a severe phenotype. Contrastingly, variants predicted to result in haploinsufficiency are associated with a milder clinical presentation. A similarly mild phenotype is observed for individuals with premature protein truncating variants that escape nonsense-mediated decay and encode truncated proteins, which are transcriptionally active but mislocalized in the cell. Our results suggest that in-depth mutation-specific genotype-phenotype studies are essential to capture full disease complexity and to explain phenotypic variability.

genetics↗

bioRxiv2020

Limb-clasping, cognitive deficit and increased vulnerability to kainic acid -induced seizures in neuronal GPI anchor deficiency mouse models

Post-translational modification of a protein with glycosylphosphatidylinositol (GPI) is a conserved mechanism exists in all eukaryotes. Thus far, more than 150 human GPI anchored proteins have been discovered and about 30 enzymes have been reported to be involved in the biosynthesis and maturation of mammalian GPI. Phosphatidylinositol glycan biosynthesis class A protein (PIGA) catalyzes the very first step of GPI anchor biosynthesis. Patients carrying a mutation of the PIGA gene usually suffer from intractable epilepsy and intellectual developmental disorder. We generated three mouse models with PIGA deficits specifically in telencephalon excitatory neurons (Ex-M-cko), inhibitory neurons (In-M-cko), or thalamic neurons (Th-H-cko), respectively. Both Ex-M-cko and In-M-cko mice showed impaired long-term fear memory and were more susceptible to kainic acid (KA)-induced seizures. In addition, In-M-cko demonstrated a severe limb-clasping phenotype. Hippocampal synapse changes were observed in Ex-M-cko mice. Our Piga conditional knockout mouse models provide powerful tools to understand the cell-type specific mechanisms underlying inherited GPI deficiency and to test different therapeutic modalities.

neuroscience↗

bioRxiv2020

Elucidation and control of low and high active populations of alkaline phosphatase molecules for quantitative digital bioassay

Alkaline phosphatase (ALP), a homo-dimeric enzyme has been widely used in various bioassays as disease markers and enzyme probes. Recent advancements of digital bioassay revolutionized ALP-based diagnostic assays as seen in rapid growth of digital ELISA and the emerging multiplex profiling of single-molecule ALP isomers. However, the intrinsic heterogeneity found among ALP molecules hampers the ALP-based quantitative digital bioassays. This study aims quantitative analysis of single-molecule activities of ALP from Escherichia coli and reveals the static heterogeneity in catalytic activity of ALP with two distinct populations: half-active and fully active portions. Digital assays with serial buffer exchange uncovered single-molecule Michaelis-Menten kinetics of ALP; half-active molecules have halved values of the catalytic turnover rate, kcat, and the rate constant of productive binding, kon, of the fully active molecules. These findings suggest that half-active ALP molecules are heterogenic dimers composed of inactive and active monomer units, while fully active ALP molecules comprise two active units. Static heterogeneity was also observed for ALP with other origins: calf intestine or shrimp, showing how the findings can be generalized across species. Cell-free expression of ALP with disulfide bond enhancer and spiked zinc ion resulted in homogenous population of ALP of full activity, revealing that inactive monomer units of ALP are deficient in disulfide bond formation and zinc ion coordination, and also offering the way to prepare homogenous and active populations of ALP for quantitative digital bioassays of ALP.

biophysics↗