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Sakamoto, Y.

Publications and source records attributed to Sakamoto, Y..

17 recordsLinked to original sources

Characterization of a maintainable human myeloid model of VEXAS syndrome with enhanced TNF-induced cell death and DAMP release

Background: VEXAS syndrome is an adult-onset autoinflammatory disorder caused by somatic UBA1 mutations. UBA1-mutated myeloid cells have been reported to exhibit increased susceptibility to inflammatory cell death; however, the mechanisms underlying this phenotype and the extracellular consequences of enhanced cell death remain incompletely understood. Methods: Disease-associated UBA1 M41 mutations were introduced into U937 cells by CRISPR/Cas9-mediated genome editing. The resulting cells were characterized by genomic, molecular, and functional analyses, with particular focus on UBA1-associated cellular phenotypes, cell death signaling, and extracellular release of damage-associated molecular patterns (DAMPs). Results: Genome editing yielded UBA1-mutated cells that could be maintained under standard culture conditions while recapitulating multiple molecular and cellular features associated with VEXAS syndrome. Long-read sequencing revealed the intended UBA1 M41 mutation on one allele and a CRISPR/Cas9-induced on-target genomic deletion on the other. The mutant cells exhibited reduced UBA1b and increased UBA1c expression, prominent cytoplasmic vacuolization, reduced proliferative capacity, and increased basal cell death. They also showed enhanced susceptibility to TNF-induced cell death under conditions favoring either apoptosis or necroptosis. Mechanistic analyses demonstrated enhanced apoptotic and necroptotic signaling, together with increased basal abundance of RIPK1, RIPK3, and MLKL. Pharmacological inhibition of RIPK1, RIPK3, or MLKL attenuated membrane permeabilization under caspase-inhibited conditions. Enhanced cell death was accompanied by increased extracellular release of ATP, HMGB1, and S100A8/A9. Conclusions: We characterized a maintainable UBA1-mutated human myeloid model that recapitulates multiple molecular and cellular features associated with VEXAS syndrome. Using this model, we showed that UBA1 dysfunction is associated with heightened susceptibility to TNF-dependent apoptotic and necroptotic cell death and increased extracellular release of multiple DAMPs. These findings provide insight into the cellular consequences of UBA1 dysfunction and establish a tractable experimental platform for further mechanistic studies of VEXAS syndrome.

immunology↗

Basolateral localization of Kcnj15 in branchial ionocytes of the seawater pufferfish Takifugu rubripes

In marine teleosts, gill ionocytes play central roles in the excretion of excess monovalent ions (Na+, Cl-, and K+). Basolateral K+ channels are considered essential for sustaining ion secretion by maintaining K+ homeostasis and membrane potential; however, the molecular identity of basolateral K+ channels in teleost gill ionocytes remains incompletely understood. Kcnj15 is a K+ channel expressed in multiple osmoregulatory tissues of the Japanese pufferfish (Takifugu rubripes), and its localization changes depending on tissue type and osmotic conditions; however, its localization in the gills has remained unresolved. Here, we determined the cellular localization of Kcnj15 in the gills and examined its expression in response to changes in environmental salinity. In seawater-acclimated fish, Kcnj15 was localized to the basolateral membrane of Nka- and Nkcc1-positive ionocytes. Following acclimation to hypoosmotic brackish water (1 ppt), transcript levels of cftr, nkcc1, and kcnj1a decreased, whereas kcnj15 expression remained unchanged. Under this condition, Kcnj15 was localized to the basolateral membrane of Nka-positive ionocytes. These results demonstrate that Kcnj15 is localized to the basolateral membrane of gill ionocytes and suggest that it may function as a basolateral K+ leak channel supporting ionocyte homeostasis under both seawater and low-salinity conditions.

physiology↗

Personalized reference genome-based pipeline reveals comprehensive haplotype-resolved views of cancer genomes

Cancer genome analysis relies on standard human reference genomes, but detecting somatic alterations in highly repetitive or individual-specific regions remains challenging. We developed the Personalized Reference genome-based Cancer Genome Analysis Pipeline (PRCGAP, https://github.com/yos-sk/PRCGAP), to our knowledge, the first comprehensive pipeline integrating haplotype-resolved analyses of somatic point mutations, structural variants, copy number, and DNA methylation on personalized diploid reference genomes, with each variant phased and annotated by genomic features. We applied PRCGAP to eight tumor-normal cell line pairs and three newly collected pediatric B-cell acute lymphoblastic leukemia (B-ALL) clinical samples. PRCGAP recovered most standard reference-based variants (86.7-96.4% across variant types), validated by orthogonal short-read sequencing, while additionally detecting variants that standard references missed (23.4% of SNVs and 32.6% of SVs). Notably, PRCGAP uncovered variants in centromeric and telomeric regions, and somatic single-nucleotide variants were enriched in centromere dip regions, the putative kinetochore formation sites. Using PRCGAP outputs, we identified L1 retrotransposition source sites absent from standard references and showed that a B-ALL IGH::DUX4 fusion arose from a DUX4 pseudogene within an internal D4Z4 repeat unit, rather than the canonical full-length DUX4 gene. Within a single haplotype-resolved framework, PRCGAP opens regions of the cancer genome that are inaccessible to standard references.

bioinformatics↗

Aqp1aa and Aqp4a mediate collecting duct water permeability in a marine teleost

Regulation of water permeability in the collecting duct is important for osmoregulatory acclimation in teleost fish. In hyperosmotic environments such as seawater (SW), the teleost kidney functions as a site of divalent ion excretion. The collecting ducts reabsorb Na+, Cl-, and water, thereby reducing urine volume and producing small amounts of isotonic urine with high concentrations of divalent ions. In hypoosmotic environments such as freshwater (FW) or low-salinity brackish water (BW), the kidney produces large volumes of hypotonic urine and serves as a site of water excretion; under these conditions, the collecting ducts reabsorb Na+ and Cl- but not water. To identify aquaporins (Aqps) involved in regulating water permeability in the collecting ducts of teleosts, we analyzed renal Aqp expression in a euryhaline marine fish, the Japanese pufferfish (Takifugu rubripes), which possesses 16 Aqp genes in its genome, seven of which (Aqp1aa, 1ab, 3a, 4a, 7, 8bb, and 11a) are expressed in the kidney. Quantitative RT-PCR analysis showed that Aqp1aa and Aqp4a were highly expressed in collecting duct tissues, and that Aqp1aa expression was markedly reduced in fish acclimated to BW. Immunohistochemistry revealed apical localization of Aqp1aa and basolateral localization of Aqp4 in collecting duct cells, with apical Aqp1aa downregulated in BW. These results suggest that Aqp1aa and Aqp4 mediate water reabsorption in SW and that downregulation of Aqp1aa contributes to hypotonic urine production in BW. NEW & NOTEWORTHYRegulation of water permeability in the collecting duct is important for osmoregulation in teleost fish. Expression analyses of aquaporins (Aqps) in the marine pufferfish Takifugu rubripes showed that Aqp1aa and Aqp4a are highly expressed in the collecting duct and localized to the apical and basolateral membranes, respectively. Renal Aqp1aa expression was markedly reduced in fish acclimated to hypoosmotic brackish water. These results indicate that collecting duct water permeability is regulated by Aqp1aa expression.

physiology↗

Excellent agreement between automated deep learning-based and manual DWI infarct volume measurement in hyperacute stroke

BackgroundDiffusion-weighted imaging (DWI) lesion volume and infarct growth are important imaging markers in acute ischemic stroke, but manual volume measurement is time-consuming and resource-intensive. Deep learning (DL)-based automated segmentation may facilitate rapid assessment; however, its performance on hyperacute DWI has not been sufficiently assessed. The aim was to evaluate the agreement between DL-based automated and manual infarct volume measurements and to compare their ability to predict clinical outcomes in patients treated with mechanical thrombectomy (MT). MethodConsecutive MT-treated patients (September 2014-December 2019) who underwent DWI at admission and at approximately 24 hours were retrospectively analyzed. Manual infarct volume was measured by stroke neurologists. Automated measurements were obtained using DL-based software. Agreement was assessed using Pearsons correlation, Bland-Altman analysis, and intraclass correlation coefficients (ICC 2,1). Inter- and intra-rater reliabilities were evaluated in a randomly selected subgroup of 150 patients. Predictive ability for a good outcome at 3 months (modified Rankin Scale score 0-2 or stable/improved from premorbid status) was compared using C-statistics and DeLongs test. ResultsA total of 371 patients (677 DWI scans) were included. Manual and automated measurements showed very strong correlation (r = 0.96) with minimal bias (-1.77 mL). The ICC for manual-automated agreement was 0.959 (95% CI, 0.952-0.965), comparable to inter- and intra-rater ICCs. Agreement remained high across onset-to-imaging times and lesion sizes. Predictive abilities for a good outcome were similar for manual and automated admission DWI volume (C-statistics 0.867 vs. 0.861) and infarct growth (0.859 vs. 0.853). Manual follow-up DWI volume showed slightly better predictive ability than automated measurement (0.880 vs. 0.866). ConclusionDL-based automated infarct volume measurement shows excellent agreement with experienced clinicians, with predictive performance comparable to manual assessment. Automated DWI-based quantification is reliable and feasible for use in hyperacute stroke management.

neuroscience↗

Contextual Scaling of Representational Uncertainty for Size and Number

Accurate discrimination of magnitudes, such as object size and quantity, is crucial for effective action selection and decision-making. A fundamental principle in magnitude discrimination is that discriminability is determined by the ratio of the stimulus values being compared, as formalized by Weber-Fechners law. Here, we show evidence that the discriminability of numerosity is not as robust as previously thought; rather, it is influenced by task-irrelevant environmental statistics. We measured discrimination thresholds in 24 participants performing a numerosity discrimination task in which pairs of dot arrays were presented either simultaneously or sequentially. Stimulus values were sampled from either narrow or wide ranges. Our findings revealed that, although the magnitude pairs were identical, discrimination performance was significantly better (i.e., lower threshold) when stimulus values were sampled from a narrow-range compared to a wide-range. Strikingly, this improvement was observed only when the stimuli were presented sequentially. A similar pattern emerged in a size discrimination task with analogous manipulations. A control experiment ruled out potential confounding variables related to stimulus variety, emphasizing the importance of the stimulus range in gaining this benefit. Together, these findings suggest that perceptual variability is flexibly scaled according to context, particularly when the representations are less reliable. Our study highlights the adaptive nature of stimulus encoding strategies, whereby the brain minimizes representational uncertainty by dynamically leveraging contextual information.

neuroscience↗

Rare k-mers reveal centromere haplogroups underlying human diversity and cancer translocations

Centromeres are among the most diverse and dynamically evolving regions of the human genome and are commonly affected in various human cancers. However, organized into highly repetitive -satellite higher-order repeats (HORs), human centromere sequences have long resisted detailed genomic analysis. Although the development of long-read sequencing platforms has enabled the analysis of complete centromere sequences, their application to a large set of samples is still largely limited, preventing our understanding of centromere variation and haplotype structures across large human populations and the structural basis of centromere-involving translocations in cancer. Here we show that rare k-mers present in centromeric regions can serve as effective markers for dissecting the complexity of centromere structure, particularly that of active -satellite HOR arrays (aHOR arrays), across human populations and for understanding centromere-involving abnormalities in cancer. Based on rare k-mer-based clustering, centromere aHOR arrays are clustered into discrete haplogroups (aHOR-HGs) with distinct structural features. These k-mers were also used to develop a framework that enables the inference of haplogroups in a given sample based on short-read whole genome sequencing (WGS) data (ascairn). By applying ascairn to large-scale human population datasets (n > 3,300), we revealed the diversity of aHOR-HGs and their geographic histories across populations. The rare k-mer-based approach was also applied to investigate the structure of 1p/19q co-deletion, a highly recurrent centromere-involving translocation in IDH-mutated oligodendrogliomas. Analyzing short-read WGS data from 142 cases with 1p/19q co-deletion using rare k-mers, we showed that breakpoints of 1p/19q co-deletion were mapped to aHOR arrays in chromosomes 1 (D1Z7) and 19 (D19Z3), which was validated by long-read sequencing of two 1p/19q co-deletion-positive cases. Notably, the translocation preferentially involved haplogroups composed of haplotypes containing larger regions susceptible to rearrangement. These results highlight the role of rare k-mers in dissecting the complexity of centromere sequences and their evolutionary history as well as understanding centromere-involving abnormalities associated with human diseases.

genomics↗

Dynamic remodeling of the pancreas immune landscape in obesity.

Obesity is a known risk factor for diseases of the pancreas, including diabetes, pancreatic cancer and pancreatitis, but mechanisms remain unclear. To elucidate how obesity impacts pancreatic immune homeostasis, we performed spatial, transcriptomic and functional profiling of human pancreatic immune cells from obese and non-obese organ donors. Obesity was associated with higher density of tissue resident memory T-cells (TRM) in the exocrine pancreas which display high cytotoxic functions and aggregated around macrophages. Single cell sequencing of pancreatic macrophages revealed two main subsets - FOLR2+ CD11c- fetal-derived macrophages with pro-repair and immunoregulatory function and a FOLR2- CD11c+ monocyte-derived macrophages with greater T-cell interactions and pro-inflammatory function. In obesity, the pancreatic macrophage landscape shifts to lower predominance of FOLR2+ CD11c- macrophages and higher FOLR2- CD11c+ macrophages which interact selectively with the TRM and inflamed exocrine epithelium. Together, these results identify macrophage-T cell circuits and immune epithelial interactions that fuel chronic pancreatic inflammation in obesity - a potential unifying mechanism for obesity-related pancreatic diseases.

immunology↗

mm2-ivh: simple and precise overlap detection in alpha satellite HORs with interval hashing

SummaryWe propose a new algorithm, "interval hashing," which distinguishes identical k-mers arising from different repeat sequences, particularly in complex repeat arrays such as alpha satellite HORs. We implement this algorithm as a fork of minimap2, named mm2-ivh. In local assembly of alpha satellite HORs, mm2-ivh accurately reconstructs more haplotypes than assemblers using standard minimizers. Availabilitymm2-ivh is available under the MIT license at https://github.com/ocxtal/mm2-ivh and runs on common Unix-compatible systems.

bioinformatics↗

Epstein-Barr virus induced 3 attributes to TLR7-mediated splenomegaly and bicytopenia

Epstein-Barr virus induced 3 (EBI3) is a gene induced by stimulation of toll-like receptors (TLRs) and functions as a component of a heterodimer cytokine IL-27. IL-27 regulates both innate and acquired immune responses; however, their function in vivo is still largely unknown. Splenomegaly, an enlargement of the spleen, is known to be induced by chronic infectious diseases, including infectious mononucleosis due to EB virus infection. Repeated treatment of imiquimod (IMQ; a TLR7 agonist) has been reported to induce splenomegaly and cytopenia due to increased splenic function. Although immune cell activation is speculated to be involved in the pathogenesis of chronic infection-mediated splenomegaly, the detailed molecular mechanism is unknown. Here, we demonstrated that IMQ induced marked splenomegaly and severe bicytopenia (anemia and thrombocytopenia) in the wild-type mice. Myeloid cells, not lymphoid cells, were increased in the enlarged spleen. Extramedullary hematopoiesis was observed in the enlarged spleen of the IMQ-treated mice. RNA-seq analysis revealed that type I interferon (IFN)-related genes were upregulated in the spleen and peripheral blood in IMQ-treated mice. Ebi3 deficiency partially retrieved these IMQ-induced pathological changes. We found that Il27 as well as Ebi3 genes were elevated by IMQ in the spleen and peripheral blood. Further, IL-27 stimulation upregulated type I IFN-related genes in bone marrow-derived macrophage culture in the absence of type I IFN. Collectively, EBI3 contributes to TLR7-induced splenomegaly and bicytopenia, presumably via IL-27.

immunology↗

NEDD4-binding protein 1 suppresses HBV replication by degrading pgRNA

Chronic infection with hepatitis B virus (HBV) places patients at increased risk for liver cirrhosis and hepatocellular carcinoma. Although nucleos(t)ide analogs are mainly used for the treatment of HBV, they require long-term administration and may lead to the emergence of drug resistant mutants. Therefore, to identify targets for the development of novel anti-HBV drugs, we screened for HBV-suppressive host factors using a plasmid expression library of RNA-binding proteins (RBPs). We screened 132 RBPs using an expression plasmid library by measuring HBV relaxed circular DNA (rcDNA) levels in hepatocellular carcinoma. Our screen identified NEDD4-binding protein 1 (N4BP1) as having an anti-HBV effect. In hepatocellular carcinoma cell lines transfected or infected with HBV, overexpression of N4BP1 decreased rcDNA levels while knockdown or knockout of the gene encoding N4BP1 rescued rcDNA levels. N4BP1 possesses the KH-like and RNase domains and both were required for the anti-HBV effect of N4BP1. Additionally, we measured levels of HBV pregenomic RNA (pgRNA) and covalently closed circular DNA (cccDNA) in the RBP-transfected cells and confirmed that N4BP1 binds pgRNA directly and degraded both the 3.5 kb and 2.4/2.1 kb HBV RNA. In summary, N4BP1 is a newly identified host factor able to counteract HBV production by promoting the degradation of 3.5 kb and 2.1/2.4 kb HBV RNA. ImportanceThere is still a large number of HBV-infected people in the world today because of no curative treatment for HBV infection. In this study, we focused on and screened RNA-binding proteins to identify new host factors which inhibit HBV replication. As a result, we found that NEDD4-binding protein 1 (N4BP1) expression suppresses rcDNA production by promoting the degradation of pregenomic RNA, 2.4kb and 2.1kb HBV RNA. Furthermore, KH-like domain or RNase domain of N4BP1 were involved in this anti-HBV effect. In addition, the N4BP1 levels were lower in HCC resection samples of exacerbated patients, suggesting that individual N4BP1 levels might be related to HCC progression. This novel factor can potentially become a key to new HBV treatments.

microbiology↗

Activation of Nedd4L Ubiquitin Ligase by FCHO2-generated Membrane Curvature

The C2-WW-HECT domain ubiquitin ligase Nedd4L regulates sorting in endocytosis by mediating ubiquitination of cargo molecules, such as the epithelial sodium channel (ENaC). Defects in ENaC ubiquitination cause Liddle syndrome, a hereditary hypertension. Nedd4L is catalytically autoinhibited by an intramolecular interaction between the C2 and HECT domains, but the activation mechanism is poorly understood. Here, we show that Nedd4L is activated by membranes sculpted by FCHO2, a Bin-Amphiphysin-Rsv (BAR) domain protein that regulates endocytosis. We found that FCHO2 was required for Nedd4L-mediated ubiquitination and endocytosis of ENaC. Nedd4L co-localized with FCHO2 at clathrin-coated pits where it likely became activated. Nedd4L was specifically recruited to and activated by the FCHO2 BAR domain exogenously expressed in cells. Furthermore, we reconstituted in vitro FCHO2-induced recruitment and activation of Nedd4L. Both the recruitment and activation were mediated by membrane curvature rather than protein-protein interactions. The Nedd4L C2 domain recognized a specific degree of membrane curvature that was generated by the FCHO2 BAR domain. Consequently, this curvature activated Nedd4L by relieving autoinhibition. Thus, we show for the first time a specific functionality (i.e., recruitment and activation of an enzyme regulating cargo sorting) of membrane curvature by a BAR domain protein.

cell biology↗

Apoplastic CBM1-interacting proteins bind conserved carbohydrate binding module 1 motifs in fungal hydrolases to counter pathogen invasion

When infecting plants, fungal pathogens secrete cell wall degrading enzymes (CWDEs) that break down cellulose and hemicellulose, the primary components of plant cell walls. Some fungal CWDEs contain a unique domain, named the carbohydrate binding module (CBM), that facilitates their access to polysaccharides. However, little is known about how plants counteract pathogen degradation of their cell walls. Here, we show that the rice cysteine-rich repeat secretion protein OsCBMIP binds to and inhibits xylanase MoCel10A of the blast fungus pathogen Magnaporthe oryzae, interfering with its access to the rice cell wall and degradation of rice xylan. We found binding of OsCBMIP to various CBM1-containing enzymes, suggesting it has a general role in inhibiting the catalytic activities of fungal enzymes. OsCBMIP is localized to the apoplast, and its expression is strongly induced in leaves infected with M. oryzae. Remarkably, knockdown of OsCBMIP reduced rice defense against M. oryzae, demonstrating that inhibition of CBM1-containing fungal enzymes by OsCBMIP is crucial for rice defense. We also identified additional CBMIP-related proteins from Arabidopsis thaliana and Setaria italica, indicating that a wide range of plants counteract pathogens through this mechanism. SummaryPlants have evolved various activity-inhibiting proteins as a defense against fungal cell wall degrading enzymes (CWDEs), but how plants counteract the function of fungal enzymes containing carbohydrate binding modules (CBMs) remains unknown. Here, we demonstrate that OsCBMIP, a member of the cysteine-rich repeat secretion protein family, interacts with fungal CBM1. OsCBMIP binding to CBM1 of a blast fungal xylanase blocks access to cellulose, resulting in the inhibition of xylanase enzymatic activity. Our study provides significant insights into plant countermeasure against CWDEs in the apoplastic space during plant-fungal pathogen interactions. It also reveals a molecular function of the DUF26 domain widely distributed in plant proteins.

plant biology↗

Map7D2 and Map7D1 facilitate MT stabilization through distinct mechanisms to control cell motility and neurite outgrowth

Microtubule (MT) dynamics are modulated through the coordinated action of various MT-associated proteins (MAPs). However, the regulatory mechanisms underlying MT dynamics remain unclear. We show that the MAP7 family protein Map7D2 stabilizes MTs to control cell motility and neurite outgrowth. Map7D2 directly bound to MTs through its N-terminal half and stabilized MTs in vitro. Map7D2 localized prominently to the centrosome and partially on MTs in mouse N1-E115 neuronal cells, which expresses two of the four MAP7 family members, Map7D2 and Map7D1. Map7D2 loss decreased the resistance to the MT-destabilizing agent, nocodazole without affecting acetylated/detyrosinated stable MTs, suggesting that Map7D2 stabilizes MTs via direct binding. In addition, Map7D2 loss increased the rate of random cell migration and neurite outgrowth, presumably by disturbing the balance between MT stabilization and destabilization. Map7D1 exhibited similar subcellular localization and gene knock-down phenotypes to Map7D2. However, in contrast to Map7D2, Map7D1 was required for the maintenance of acetylated stable MTs. Taken together, our data suggest that Map7D2 and Map7D1 facilitate MT stabilization through distinct mechanisms in cell motility and neurite outgrowth.

cell biology↗

Transcriptional activation of auxin biosynthesis drives developmental reprogramming of differentiated cells

Plant cells exhibit remarkable plasticity of their differentiation states, enabling regeneration of whole plants from differentiated somatic cells. How they revert cell fate and express pluripotency, however, remains unclear. Here we show that transcriptional activation of auxin biosynthesis is crucial for reprogramming differentiated Arabidopsis leaf cells. We demonstrate that interfering with the activity of histone acetyltransferases dramatically reduces callus formation from leaf mesophyll protoplasts. Impaired histone acetylation predominantly affects transcription of auxin biosynthesis genes. Auxin biosynthesis is in turn required to accomplish initial cell division through the activation of G2/M phase genes mediated by MYB DOMAIN PROTEIN 3-RELATED (MYB3Rs). We further show that the AUXIN RESPONSE FACTOR 7 (ARF7)/ARF19 and INDOLE-3-ACETIC ACID INDUCIBLE 3 (IAA3)/IAA18-mediated auxin signaling pathway is responsible for cell cycle reactivation in protoplasts. These findings provide novel mechanistic model of how differentiated plant cells can revert their fate and reinitiate the cell cycle to become pluripotent.

plant biology↗

Long read sequencing reveals a novel class of structural aberrations in cancers: identification and characterization of cancerous local amplifications

Here we report identification of a new class of local structural aberrations in lung cancers. The whole-genome sequencing of cell lines using a long read sequencer, PromethION, demonstrated that typical cancerous mutations, such as point mutations, large deletions and gene fusions can be detected also on this platform. Unexpectedly, we revealed unique structural aberrations consisting of complex combinations of local duplications, inversions and micro deletions. We further analyzed and found that these mutations also occur in vivo, even in key cancer-related genes. These mutations may elucidate the molecular etiology of patients for whom causative cancerous events and therapeutic strategies remain elusive.

genomics↗

MoMI-G: Modular Multi-scale Integrated Genome Graph Browser

Long-read sequencing allows more sensitive and accurate discovery of structural variants (SVs). While more and more SVs are being identified, a number of them are difficult to visualize using existing SV visualization tools. Therefore, methods to visualize SVs such as nested or large SVs of over a megabase pair need to be developed. To this end, we developed MOdular Multi-scale Integrated Genome graph browser, MoMI-G, a web-based genome browser to visualize SVs, genes, repeats, and other annotations as a variation graph with paths. This browser allows more intuitive recognition of large, nested, and potentially more complex SVs. MoMI-G has view modules for different scales, which allow users to view the whole genome down to nucleotide-level alignments of long reads. Alignments spanning reference alleles and those spanning alternative alleles are shown in the same view. Users can customize the view, if they are not satisfied with the preset views. In addition, MoMI-G has Interval Card Deck, a feature for rapid manual inspection of hundreds of SVs. Herein, we describe the utility of MoMI-G by using representative examples of large and nested SVs found in two cell lines, LC-2/ad and CHM1. MoMI-G is freely available at https://github.com/MoMI-G/MoMI-G under the MIT license.

bioinformatics↗