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Matsumoto, K.

Publications and source records attributed to Matsumoto, K..

At least 19 recordsLinked to original sources

Conformational dynamics of an intrinsically disordered receptor enable signal transduction

Signal transduction is initiated when activated cell-surface receptors physically engage intracellular signaling proteins. Although structural and biochemical studies have established the molecular architecture of receptor tyrosine kinase (RTK) signaling, the earliest dynamic events that couple receptor activation to intracellular signal propagation have remained inaccessible because existing approaches provide static structural snapshots or ensemble-averaged measurements rather than direct observation of molecular motion. Here, using high-speed atomic force microscopy (HS-AFM), we directly visualize these initial molecular events at the single-molecule level in real time. Using fibroblast growth factor receptor 1 (FGFR1) as a model, we show that receptor autophosphorylation releases its intrinsically disordered juxtamembrane region, enabling extensive conformational dynamics of the kinase domain that permit productive engagement of the signaling adaptor FRS2, a key initiator of downstream RTK signaling. In contrast, a kinase-inactive mutation or the clinically approved FGFR inhibitor futibatinib restricts receptor motion, stabilizes a compact receptor configuration, and markedly reduces adaptor engagement. Molecular dynamics simulations suggest that the disruption of inhibitory interactions between the juxtamembrane region and the kinase domain provides a structural explanation for the observed receptor dynamics. Together, our findings uncover a previously inaccessible physical mechanism underlying the initiation of RTK signaling and establish HS-AFM as a powerful platform for visualizing receptor dynamics, providing a framework for mechanistic studies of signal transduction and for the development and mechanistic evaluation of compounds that modulate receptor signaling.

biophysics↗

Rice brown spot resistance gene bsr1 also confers resistance to bacterial blight by suppressing sucrose efflux

Brown spot (BS), caused by the fungal pathogen Bipolaris oryzae, is a major disease threatening global rice production. However, the genetic basis of host BS resistance remains unclear. Here, we identified brown spot resistance 1 (bsr1), a quantitative trait locus conferring BS resistance, by map-based cloning. We show that bsr1 encodes a sucrose transporter and that a near-isogenic line carrying bsr1 (bsr1-NIL) in the susceptible Koshihikari genetic background exhibited resistance to BS by suppressing sucrose efflux into the apoplast after pathogen attack. Furthermore, bsr1-NIL also showed strain-specific resistance to bacterial blight caused by Xanthomonas oryzae pv. oryzae through the same mechanism. These findings demonstrate that bsr1 confers dual resistance to fungal and bacterial diseases by regulating sucrose efflux. Our study identifies a previously unrecognized mechanism underlying resistance to both BS and bacterial blight and highlights bsr1 as a promising target for breeding disease-resistance rice cultivars. Rice (Oryza sativa L.) is a staple food for more than half of the worlds population1. Brown spot (BS), caused by the fungus Bipolaris oryzae, is one of the most prevalent fungal diseases of rice, and its incidence has increased under global warming2. BS infects coleoptiles, leaves, leaf sheaths, panicle branches, glumes, and spikelets, and severe infection can substantially reduce grain yield.

plant biology↗

Open Digital Bioassays Enabled by Aqueous Two-Phase Microreactor Arrays

Digital bioassays enable precise single-molecule quantification but are difficult to adapt to point-of-care testing (POCT) because conventional protocols include off-chip complex processes for sample treatment and sealing, requiring hardware and workflow complexity. We present OASSIS (Open Aqueous two-phase Separation System for Integrated Single- molecule digital bioassay platform), an oil-free and open ATPS platform that localizes both targets and signals in femtoliter-scale dextran (DEX) droplets beneath a polyethylene glycol (PEG) phase. We integrated a CRISPR-Cas13a assay system with a novel, branched fluorescent reporter conjugated to a dextran-binding domain (DBD), which ensures signal retention within the DEX droplets after cleavage. Fluorescence recovery after photobleaching experiments confirmed this robust signal confinement. OASSIS not only performs amplification-free digital RNA detection but also enables serial sample introductions through its open-format architecture that progressively improve sensitivity: the limit of detection (LOD) improved from 1.08 fM (first introduction) to 0.34 fM (third introduction). Furthermore, OASSIS demonstrated specific detection and [~]10-fold enrichment from a complex, denaturant-treated nasopharyngeal swab matrix. Together, these results demonstrate that the open-format architecture of OASSIS provides a practical route toward sensitive, low-complexity POCT and clinical diagnostic applications.

biophysics↗

Minimally invasive measurement of maternal transcripts enables predicting the developmental potential of mammalian zygotes

Maternal transcripts are stored in the oocyte cytoplasm during oogenesis and play a pivotal role in early embryonic development after fertilization. However, specific maternal transcripts that reflect the developmental potential of embryos have not been systematically identified, and the use of maternal transcript levels as an indicator of successful development has not been explored. Here, we link the maternal transcriptome to the zygotes developmental potential by examining transcripts in a single polar body. The transcriptome of a zygote or an oocyte was highly similar to that of its accompanying polar body in mouse, cow, and human. We have identified a set of maternal transcripts whose expression levels fluctuate between poor- and good-quality zygotes. Specifically, Sipa1and Zmym6 were identified as marker transcripts that accurately reflect the developmental potential of zygotes. Using these marker genes, combined with machine learning, the development of zygotes to the blastocyst stage was successfully predicted with more than 80% specificity as early as 12 hours after fertilization. Furthermore, our prediction platform significantly improved implantation rates and live births to term. Thus, we have demonstrated a minimally invasive method for identifying maternal transcripts associated with zygote developmental potential. Our developed prediction system provides a generalizable conceptual framework for human infertility treatment to reduce the risk of implantation failure by excluding embryos with low developmental potential, especially when early embryos are transferred, and for livestock propagation to assess selected expressed maternal trait-associated variants before embryo transfer.

developmental biology↗

Subsecond whole-brain neural dynamics identified by hidden Markov modeling reflect value-based decision making in humans

Value-based decision making emerges from coordinated neural dynamics across distributed brain networks. Recent studies using noninvasive whole-brain measurements in humans have highlighted the importance of neural activity in the 2-10 Hz frequency band for value-based decision making. Using magnetoencephalography and hidden Markov model (HMM) analysis, we examined whether and how whole-brain neural dynamics in this frequency band, evolving on a timescale of a few hundred milliseconds, reflect value-based decision processes. Thirty-five healthy adults (females and males) made binary choices between risky and sure options. Trial-wise subjective values were estimated using behavioral economic modeling based on prospect theory. We found that HMM-derived trial-by-trial whole-brain neural dynamics (defined by 2-10 Hz amplitude envelopes in distributed brain regions and their interregional coupling) were associated with the subjective values of choice options in a manner distinct from simple perceptual- or motor-evoked activity. Notably, these trial-by-trial whole-brain dynamics covaried with the difference in subjective values between the chosen and unchosen options when the neural data were time-locked to participants responses, but not when time-locked to option onset. These findings revealed a crucial link between subsecond whole-brain neural dynamics and trial-by-trial decision variables, providing insights into how value-based decision processes unfold over time in the human brain.

neuroscience↗

Identification and characterization of a poly(ϵ-caprolactone)-degrading enzyme with a unique sequence profile from the marine bacterium Alloalcanivorax gelatiniphagus

Poly({varepsilon}-caprolactone) (PCL) is a well-known biodegradable polyester and is among the few polyesters susceptible to degradation in marine environments; however, marine-derived PCL-degrading enzymes remain poorly characterized. Here, we searched for PCL-degrading enzymes from the marine bacterium Alloacanivorax gelatiniphagus JCM 18425 using a genome-based approach. Five candidate genes were predicted, and one encoded protein, designated Ag0826, was identified as a PCL depolymerase. Recombinant Ag0826 was expressed, purified, and biochemically characterized. The enzyme exhibited optimal activity at 35-40{degrees}C and pH 8.0, although it showed limited thermal stability. Substrate specificity was compared with that of leaf-branch compost cutinase (LCC), a well-characterized poly(ethylene terephthalate) (PET) hydrolase, using various polyesters. Both enzymes exhibited largely overlapping substrate ranges with respect to the presence or absence of monomer conversion activity across the tested substrates. Ag0826 slightly degraded PET to terephthalic acid, indicating potential PET-hydrolyzing activity; its conversion rate, however, was substantially lower than that of LCC, suggesting that Ag0826 exhibits a substrate preference differing from LCC. Phylogenetic analysis based on amino acid sequences revealed that Ag0826 formed a separate clade from LCC and IsPETase (from Ideonella sakaiensis). At a broader level, Ag0826 was positioned near HaloPETase1 (from Halopseudomonas pachastrellae), which has been proposed as a Type III PET hydrolase; in contrast, residues corresponding to the substrate-binding subsites were similar but not identical between the two enzymes. These results suggest that Ag0826 broadly belongs to the group of known PET hydrolases, yet it exhibits a partially distinct sequence profile even within this enzyme family.

biochemistry↗

Regulation of sphingolipid synthesis by the C2H2 zinc finger transcription factor Com2 through ubiquitin-proteasome mediated degradation pathway

Membrane lipid synthesis is globally coordinated by a limited set of master transcription factors that regulate broad gene networks encoding lipid-metabolic enzymes and their regulators. Here, we identify the C2H2 zinc-finger transcription factor Com2 as a regulator of sphingolipid homeostasis in Saccharomyces cerevisiae that promotes transcription of downstream targets, including the protein kinase Ypk1, a key activator of sphingolipid synthesis. Com2 protein abundance increased upon treatment with myriocin, an inhibitor of sphingolipid synthesis, but rapidly decreased after addition of phytosphingosine (PHS), a precursor of complex sphingolipids; this decrease was blocked by proteasome inhibitors. These results suggest that Com2 is regulated in a sphingolipid-dependent manner through proteasome-mediated degradation. Moreover, a Com2 mutant in which lysine residues putatively involved in ubiquitination were replaced with arginine exhibited attenuated PHS-dependent degradation and elevated phosphorylation. Likewise, a mutant in which putative phosphorylation sites were replaced with alanine showed reduced PHS-dependent degradation. Together, these findings indicate that Com2 undergoes phosphorylation-dependent degradation via the ubiquitin-proteasome system in response to sphingolipid levels.

cell biology↗

TSUMUGI: a platform for phenotype-driven gene network identification from comprehensive knockout mouse phenotyping data

SummaryDeciphering complex organismal phenotypes requires elucidation of coordinated functions among multiple genes, yet this remains a fundamental challenge in functional genetics. The International Mouse Phenotyping Consortium (IMPC) has recently established a comprehensive phenotypic atlas based on systematic single-gene knockout mouse lines, providing an unprecedented resource for gene-phenotype associations in mammals. However, extracting phenotype-associated multiple gene relationships remains challenging. Here, we present TSUMUGI, a platform that identifies a phenotype-driven gene network by leveraging gene-phenotype associations from the IMPC. TSUMUGI enables users to initiate analyses from a user-specified phenotype or gene list and interactively explore a gene network. In addition, TSUMUGI highlights human disease-associated genes, supports flexible network filtering, and allows seamless export of a gene network for downstream analyses. By linking shared phenotypic signatures to putative functional gene modules, TSUMUGI provides a framework for systematic interpretation and hypothesis generation of complex organismal phenotypes. Availability and implementationThe web application is available online at https://larc-tsukuba.github.io/tsumugi/. The command-line tools are distributed via PyPI (https://pypi.org/project/TSUMUGI) and Bioconda (https://bioconda.github.io/recipes/tsumugi/README.html). Source code and documentation are hosted at GitHub (https://github.com/akikuno/TSUMUGI-dev) and archived on Zenodo (https://doi.org/10.5281/zenodo.18464478) under the MIT license.

bioinformatics↗

Memory schema reorganization induced by the deliberate processing in the executive network supported by widespread amplified activity

Schema accommodation is the reorganization of a preexisting memory schema to deeply accept new information incongruent with it. Although it is crucial for flexible intelligence, it occurs infrequently, making its neural basis difficult to study. To overcome this, we conducted an fMRI experiment using a newly developed experimental paradigm, the reversal description task. The results suggest that the schema changes that occurred during the task were global reorganizations rather than local adjustments. Moreover, the executive network responsible for deliberate processing played a central role, with the support of widespread amplified activity. Furthermore, reinforcement learning-based control implemented in these neural substrates, in cooperation with the caudate nucleus, emerged as a candidate mechanism for the deliberative schema update. These findings indicate that memory reorganization involves not only automatic but also deliberate processes, in which the desired global structure is explored through the control operation performed by these neural bases. TeaserMemory reorganization is performed through deliberation-related neural computations supported by brain-wide amplified activity.

neuroscience↗

Modulation of translational elongation by montanine alkaloids preferentially inhibits RNA viruses

Montanine, an Amaryllidaceae alkaloid, has demonstrated superior antiviral activity against dengue virus (DENV), SARS-CoV-2, vesicular stomatitis Indiana virus (VSV-G), and vesicular stomatitis virus pseudotyped with Ebola virus glycoprotein (VSV-ZGP), outperforming other antiviral alkaloids tested, including lycorine, narciclasine, tetracetylnarciclasine, and pancracine. We further showed that montanine inhibits translation in mammalian cells, as evidenced by a puromycin incorporation assay. Cryo-EM analysis revealed that montanine binds to the peptidyl transferase center of the human ribosome. A chemical genomics survey indicated that the knockdown of the GCN1 complex, which senses ribosome collisions and triggers the translation quality control process, increased the cytotoxicity of montanine while reducing viral infectivity. Together, these results suggest that the antiviral activity of montanine is closely linked to its impact on translational elongation and GCN1-related stress responses, underscoring the potential of translation control as a targeted mode for RNA virus therapeutics. Significance StatementMontanine, an alkaloid from the Amaryllidaceae family known for its diverse bioactivities, was identified as a potent antiviral compound from a library of natural plant- and fungus-derived substances. Through a combination of biochemical assays and cryo-EM analysis, we discovered that montanine binds to the peptidyl transfer center of the human ribosome, effectively inhibiting protein synthesis. Based on these findings and a chemical genomics approach, we hypothesize that the translational control of montanine triggers a cellular response that impedes viral replication. We propose that molecules capable of modulating translation efficacy could serve as unique lead compounds in the development of broad-spectrum antiviral agents.

biochemistry↗

δ2-Protocadherins organize parallel indirect basal ganglia circuits

The basal ganglia (BG) contain multiple parallel neural circuits, each of which may control different behaviors. However, how the distinct parallel BG circuits are molecularly organized is not known. Here we show that two {delta}2-protocadherins (PCDHs), PCDH17 and PCDH10, which are homophilic cell-adhesion molecules, establish and define two distinct indirect BG circuits that regulate different behaviors. PCDH17 and PCDH10 are expressed in a complementary expression pattern in the BG, anatomically defining two parallel indirect BG connections. Indirect pathway-specific Pcdh17 and Pcdh10 conditional knockout (cKO) mice show impaired establishment of the indirect BG circuits in a region-preferential manner. Finally, the Pcdh17-cKO mice show defects in task learning, while the Pcdh10-cKO mice show defects in motor/sensory habituation. These results identify PCDH17 and PCDH10 as the molecular organizers for two distinct indirect BG circuits regulating different behaviors and reveal the molecular mechanisms for organizing parallel BG circuits. TeaserDistinct protocadherins organize parallel indirect basal ganglia circuits that regulate task learning or sensorimotor habituation

neuroscience↗

Genetic diversity in horseshoe bat ACE2 and sarbecovirus spike proteins mutually shape one another

Angiotensin-converting enzyme 2 (ACE2) serves as the entry receptor for a wide diversity of sarbecoviruses naturally harboured by horseshoe bats (genus Rhinolophus). Despite the extensive circulation of these viruses in many horseshoe bat species, the potential interactions between virus and receptor evolution remain poorly understood. We sampled individuals of the intermediate horseshoe bat (Rhinolophus affinis) across Vietnam and identified 15 genotypes of ACE2 proteins, 10 of which are previously unreported. Phylogenetic analysis and infectivity assays with a panel of 36 sarbecovirus spike proteins indicated that the R. affinis ACE2 phylogeny has geographic structuring and genotypes originating from different geographic regions exhibit distinct infectivity phenotypes. We detected site-specific positive selection on ACE2 site 24 with the associated substitutions largely affecting the receptors sarbecovirus infectivity profile. Together, our findings suggest that the R. affinis within-species ACE2 diversity has likely been shaped through selection by past sarbecovirus infection. Similarly on the virus end, we use mutagenesis assays and structural analysis through cryo-EM, to delineate the proximal evolution of the Ra22QT77 spike defined by specialization to the ACE2 genotypes of horseshoe bats found in and near southern Vietnam, where the virus was sampled. Our findings contribute to a better understanding of host-sarbecovirus co-evolution dynamics and provide valuable insights into the receptor usage determinants of these viruses. HighlightsO_LIWe identify a total of 15 ACE2 genotypes in R. affinis bats from Vietnam. C_LIO_LIACE2 intraspecific polymorphism is geographically separated and associated with distinct sarbecovirus infectivity. C_LIO_LISite 24 of R. affinis ACE2 experiences positive selection and controls susceptibility to sarbecoviruses. C_LIO_LIBat ACE2s and sarbecovirus spikes are bidirectionally shaped by each others evolution. C_LI

microbiology↗

Astrocytic Cathepsin D truncates α-synuclein and promotes Lewy neurite-like aggregation in neurons

Parkinsons disease (PD) and related synucleinopathies are marked by the accumulation and propagation of -synuclein (-syn) aggregates, a process primarily studied in neurons. However, the contribution of astrocytes to this process remains unclear. Here, using a physiologically relevant neuron-astrocyte co-culture system that recapitulates tripartite synapse architecture, we show that astrocytes actively process and propagate -syn aggregates. Astrocytes internalize -syn pre-formed fibrils (PFFs) and cleave them into C-terminally truncated, seeding-competent species via the lysosomal protease Cathepsin D (CtsD). These truncated species are subsequently transferred to neurons, where they promote the growth of Lewy neurite (LN)-like aggregates. Notably, -syn PFF exposure disrupts lysosomal membrane integrity in astrocytes, leading to CtsD upregulation. These findings reveal a feed-forward mechanism in which astrocytic lysosomal dysfunction amplifies -syn pathogenicity. Our findings identify astrocytes as active contributors to -syn propagation and highlight the astrocytic lysosomal pathway as a potential therapeutic target in PD.

pathology↗

High-Speed AFM Reveals IDR-Mediated Structural Plasticity of EML4-ALK Modulated by ALK Inhibitors

EML4-ALK is a key oncogenic driver in lung cancer, but variant-specific chemoresistance limits the efficacy of current ALK inhibitors. Because the N-terminus contains an intrinsically disordered region (IDR), how ALK inhibitors affect the structure and dynamics of full-length EML4-ALK remains unclear. Here, using high-speed atomic force microscopy (HS-AFM), we visualize the overall structures of three full-length EML4-ALK variants (v1, v3, and v5) at the single-molecule level. We identified a transient globular subdomain (residues 191-217) within the v3 IDR that contributes to distinct oligomerization patterns. Notably, ALK inhibitors compact the IDR subdomain and reduce oligomerization, whereas this effect is abolished by the resistance mutation ALKG1202R, suggesting that ALK inhibitors not only affect kinase activity but also modulate IDR dynamics. Our findings shed new light on the structural regulation of EML4-ALK and provide a foundation for developing next-generation targeted therapies that account for IDR-driven molecular behavior. TeaserHigh-speed AFM revealed the full-length EML4-ALK structures and their IDR-mediated plasticity caused by ALK kinase inhibitors

cancer biology↗

Molecular basis of sarbecovirus evolution and receptor tropism in natural hosts, potential intermediate hosts, and humans

The spike protein of many sarbecoviruses binds to the angiotensin-converting enzyme 2 (ACE2) receptor and facilitates viral entry. The diversification of the sarbecovirus spike gene and the mammalian ACE2 gene suggests that sarbecoviruses and their hosts have co-evolved, and the genetic diversity in these genes affects the host tropism of sarbecoviruses. Better comprehending the evolutionary potential of sarbecoviruses can lead to preparedness for the next pandemic. However, the host tropism of sarbecoviruses is not fully understood. Here, we performed round-robin pseudovirus infection assays using 53 sarbecoviruses and ACE2s from 17 mammals to elucidate the ACE2 tropism of sarbecoviruses in natural hosts, potential intermediate hosts and humans. We determined the factors responsible for the ACE2 tropism of sarbecoviruses through structural, phylogenetic analyses, and infection experiments, revealing which substitutions can expand the host range of sarbecoviruses. These results highlight the mechanisms modulating host tropism throughout sarbecovirus evolution.

microbiology↗

Novel antibodies detect nucleocytoplasmic O-fucose in protist pathogens, cellular slime molds, and plants

Cellular adaptations to change often involve post-translational modifications of nuclear and cytoplasmic proteins. An example found in protists and plants is the modification of serine and threonine residues of dozens to hundreds of nucleocytoplasmic proteins with a single fucose (O-Fuc). A nucleocytoplasmic O-fucosyltransferase (OFT) occurs in the pathogen Toxoplasma gondii, the social amoeba Dictyostelium, and higher plants, where it is called Spy because mutants have a spindly appearance. O-fucosylation, which is required for optimal proliferation of Toxoplasma and Dictyostelium, is paralogous to the O-GlcNAcylation of nucleocytoplasmic proteins of plants and animals that is involved in stress and nutritional responses. O-Fuc was first discovered in Toxoplasma using Aleuria aurantia lectin, but its broad specificity for terminal fucose residues on N- and O-linked glycans in the secretory pathway limits its use. Here we present affinity purified rabbit antisera that are selective for the detection and enrichment of proteins bearing fucose-O-Ser or fucose-O-Thr. These antibodies detect numerous nucleocytoplasmic proteins in Toxoplasma, Dictyostelium, and Arabidopsis, as well as O-Fuc occurring on secretory proteins of Dictyostelium and mammalian cells, although the latter are frequently blocked by further glycosylation. The antibodies label Toxoplasma, Acanthamoeba, and Dictyostelium in a pattern reminiscent of O-GlcNAc in animal cells including nuclear pores. The O-fucome of Dictyostelium is partially conserved with that of Toxoplasma and is highly induced during starvation-induced development. These antisera demonstrate the unique antigenicity of O-Fuc, document conservation of the O-fucome among unrelated protists, and will enable the study of the O-fucomes of other organisms possessing OFT-like genes. IMPORTANCEO-fucose, a form of mono-glycosylation on serine and threonine residues of nuclear and cytoplasmic proteins of some parasites, other unicellular eukaryotes, and plants, is understudied because it is difficult to detect owing to its neutral charge and lability during mass spectrometry. Yet the O-fucosyltransferase enzyme (OFT) is required for optimal growth of the agent for toxoplasmosis, Toxoplasma gondii, and an unrelated protist, the social amoeba Dictyostelium discoideum. Furthermore, O-fucosylation is closely related to the analogous process of O-GlcNAcylation of thousands of proteins of animal cells, where it plays a central role in stress and nutritional responses. O-Fuc is currently best detected using Aleuria aurantia lectin (AAL), but in most organisms AAL also recognizes a multitude of proteins in the secretory pathway that are modified with fucose in different ways. By establishing the potential to induce highly specific rabbit antisera that discriminate O-Fuc from all other forms of protein fucosylation, this study expands knowledge about the protist O-fucome and opens a gateway to explore the potential occurrence and roles of this intriguing posttranslational modification in bacteria and other protist pathogens such as Acanthamoeba castellanii.

cell biology↗

Optical Neuroimage Studio (OptiNiSt): intuitive, scalable, extendable framework for optical neuroimage data analysis

Advancements in calcium indicators and optical techniques have made optical neural recording a common tool in neuroscience. As the volume of optical neural recording data grows, streamlining the data analysis pipelines for image preprocessing, signal extraction, and subsequent neural activity analyses becomes essential. There are a number of challenges in optical neural data analysis. 1) The quality of original and processed data needs to be carefully examined at each step. 2) As there are numerous image preprocessing, cell extraction, and activity analysis algorithms, each with pros and cons, experimenters need to implement or install them to compare and select optimal methods and parameters for each step of processing. 3) To ensure the reproducibility of the research, each analysis step needs to be recorded in a systematic way. 4) For data sharing and meta-analyses, adoption of standard data formats and processing protocols is required. To address these challenges, we developed Optical Neuroimage Studio (OptiNiSt) (https://github.com/oist/optinist), a framework for intuitively creating calcium data analysis pipelines that are scalable, extendable, and reproducible. OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to common analytical tools that are pre-installed, new analysis algorithms in Python can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. We expect that this framework will be helpful in standardizing optical neural data analysis protocols.

neuroscience↗

Genome-wide epitope identification with single-amino-acid resolution via high-throughput and unbiased peptide analysis

Antibodies are extensively used in biomedical research, clinical fields, and disease treatment. However, to enhance the reproducibility and reliability of antibody-based experiments, it is crucial to have a detailed understanding of the antibodys target specificity and epitope. In this study, we developed a high-throughput and precise epitope analysis method, DECODE (Decoding Epitope Composition by Optimized-mRNA-display, Data analysis, and Expression sequencing). This method allowed identifying patterns of epitopes recognized by monoclonal or polyclonal antibodies at single amino acid resolution and predicted cross-reactivity against the entire protein database. By applying the obtained epitope information, it has become possible to develop a new 3D immunostaining method that increases the penetration of antibodies deep into tissues. Furthermore, to demonstrated the applicability of DECODE to more complex blood antibodies, we performed epitope analysis using serum antibodies from mice with experimental autoimmune encephalomyelitis (EAE). As a result, we were able to successfully identify an epitope that matched the sequence of the peptide inducing the disease model without relying on existing antigen information. These results demonstrate that DECODE can provide high-quality epitope information, improve the reproducibility of antibody-dependent experiments, diagnostics and therapeutics, and contribute to discover pathogenic epitopes from antibodies in the blood.

bioengineering↗