Biology subjects

Sugimura, Y.

Publications and source records attributed to Sugimura, Y..

6 recordsLinked to original sources

bioRxiv2026

Topical Activatable Fluorescence Probes for Rapid Intraoperative Detection of Peritoneal Dissemination in High-Grade Serous Ovarian Carcinoma

BackgroundEpithelial ovarian cancer (EOC) is one of the most lethal gynecologic malignancies, largely because most patients are diagnosed at an advanced stage with peritoneal dissemination. High-grade serous carcinoma (HGSC), the most common and aggressive EOC subtype, requires complete cytoreductive surgery to improve the prognosis; however, minute disseminated lesions are often missed by conventional intraoperative inspection. Here, we aimed to develop fluorescence probes for rapid and sensitive intraoperative detection of HGSC peritoneal dissemination. MethodsWe screened a hydroxymethyl rhodamine green (HMRG)-based fluorescence probe library consisting of 381 protease- and aminopeptidase-reactive fluorescence probes using tumor and non-tumor specimens from patients with HGSC. The target enzyme of the hit probes was identified by means of enzyme assays, immunohistochemistry, and LC/MS analysis. Diagnostic utility was evaluated ex vivo using clinical specimens and in vivo using a peritoneal dissemination mouse model. ResultsThree probes--EK-HMRG, NA-HMRG and DA-HMRG--were selected as promising candidates for the detection of peritoneal dissemination in HGSC. Puromycin-sensitive aminopeptidase (PSA) was identified as a novel target enzyme of these probes. EK-HMRG, NA-HMRG and DA-HMRG rapidly detected peritoneal dissemination just a few millimeters in size with high sensitivity and specificity in clinical HGSC specimens and in a peritoneal dissemination mouse model after topical application. ConclusionsThe PSA-targeting topical fluorescence probes EK-HMRG, NA-HMRG and DA-HMRG are promising tools for real-time, highly sensitive intraoperative visualization of peritoneal dissemination in HGSC, and are promising candidates to improve complete resection rates.

cancer biology↗

bioRxiv2025

Fine-tuning quantitative agronomic traits by manipulating gene copy number in rice

Although recent plant pan-genome studies have revealed extensive copy number variations, there are limited studies addressing the phenotypic consequences of these variations. Here, we manipulated the copy number of OsMADS18 in rice (Oryza sativa) through gene editing and evaluated the effects. OsMADS18, which encodes a MADS-box transcription factor known to regulate plant development, is tandemly duplicated in the elite rice cultivar Hitomebore as a natural variant. We therefore edited the OsMADS18 copy number using a basic CRISPR/Cas9 system and established rice lines harboring one to three tandem copies of OsMADS18, as identified through high throughput qPCR screening. The presence of one to three OsMADS18 tandem copies was reflected in stepwise increases in transcript levels and concomitant trait values for leaf blade length and culm length. These results demonstrate that manipulating gene copy number can fine-tune important agronomic traits, providing a novel breeding strategy for crop improvement.

plant biology↗

bioRxiv2024

Impact of rice GENERAL REGULATORY FACTOR14h (GF14h) on low-temperature seed germination and its application to breeding

Direct seeding is employed to circumvent the labor-intensive process of rice (Oryza sativa) transplantation, but this approach requires varieties with vigorous low-temperature germination (LTG) when sown in cold climates. To investigate the genetic basis of LTG, we identified the quantitative trait locus (QTL) qLTG11 from rice variety Arroz da Terra, which shows rapid seed germination at lower temperatures, using QTL-seq. We delineated the candidate region to a 52-kb interval containing GENERAL REGULATORY FACTOR14h (GF14h) gene, which is expressed during seed germination. The Arroz da Terra GF14h allele encodes functional GF14h, whereas Japanese rice variety Hitomebore harbors a 4-bp deletion in the coding region. Knocking out functional GF14h in a near-isogenic line (NIL) carrying the Arroz da Terra allele decreased LTG, whereas overexpressing functional GF14h in Hitomebore increased LTG, indicating that GF14h is the causal gene behind qLTG11. Analysis of numerous Japanese rice accessions revealed that the functional GF14h allele was lost from popular varieties during modern breeding. We generated a NIL in the Hitomebore background carrying a 172-kb genomic fragment from Arroz da Terra including GF14h. The NIL showed superior LTG compared to Hitomebore, with otherwise comparable agronomic traits. The functional GF14h allele from Arroz da Terra represents a valuable resource for direct seeding in cold regions. Author SummaryRice serves as a fundamental crop sustaining over half of the global population. With the rapid growth of the worlds population, it will become increasingly important to improve rice productivity. On the other hand, the aging of rice farmers in Japan has resulted in a constant labor shortage. To address this, direct seeding, in which seeds are sown directly in rice fields without going through the most labor-intensive part of the rice cultivation process, i.e., seedling production and transplanting, has been recommended. However, prevalent elite rice varieties are known to be unsuitable for direct seeding due to their poor seed germination ability under low-temperature conditions. In this study, we show for the first time that GF14h gene from the Portuguese variety Arroz da Terra improves seed germination at low temperatures (LTG). In addition, a novel cross-bred line was generated by introducing the GF14h-containing genomic segment from Arroz da Terra into Hitomebore, a widely cultivated variety in northern Japan. This line is expected to be used as a pre-breeding material to enhance LTG. This study will provide a genetic basis for LTG and contribute to basic and applied research progress.

plant biology↗

bioRxiv2021

Transcriptomes of Electrophysiologically Recorded Dbx1-derived Inspiratory Neurons of the preBötzinger Complex in Neonatal Mice

Breathing depends on interneurons in the preBotzinger complex (preBotC) derived from Dbx1-expressing precursors. Here we investigate whether rhythm- and pattern-generating functions reside in discrete classes of Dbx1 preBotC neurons. In a slice model of breathing with [~]5 s cycle period, putatively rhythmogenic Type-1 Dbx1 preBotC neurons activate 100-300 ms prior to Type-2 neurons, putatively specialized for output pattern, and 300-500 ms prior to the inspiratory motor output. We sequenced Type-1 and Type-2 transcriptomes and identified differential expression of 123 genes including ionotropic receptors (Gria3 and Gabra1) that may explain their preinspiratory activation profiles and Ca2+ signaling (Cracr2a, Sgk1) involved in inspiratory and sigh bursts. Surprisingly, neuropeptide receptors that influence breathing (e.g., {micro}-opioid and bombesin-like peptide receptors) were only sparsely expressed, which suggests that cognate peptides and opioid drugs exert their profound effects on a small fraction of the preBotC core. These data in the public domain help explain breathings neural origins.

neuroscience↗

bioRxiv2021

Systematic analysis of brain lactate and pH levels in 65 animal models related to neuropsychiatric conditions

Increased levels of lactate, an end-product of glycolysis, have been proposed as a potential surrogate marker for metabolic changes during neuronal excitation. These changes in lactate levels can result in decreased brain pH, which has been implicated in patients with various neuropsychiatric disorders. We previously demonstrated that such alterations are commonly observed in five mouse models of schizophrenia, bipolar disorder, and autism, suggesting a shared endophenotype among these disorders rather than mere artifacts due to medications or agonal state. However, there is still limited research on this phenomenon in animal models, leaving its generality across other disease animal models uncertain. Moreover, the association between changes in brain lactate levels and specific behavioral abnormalities remains unclear. To address these gaps, the International Brain pH Project Consortium investigated brain pH and lactate levels in 109 strains/conditions of 2,294 animals with genetic and other experimental manipulations relevant to neuropsychiatric disorders. Systematic analysis revealed that decreased brain pH and increased lactate levels were common features observed in multiple models of depression, epilepsy, Alzheimers disease, and some additional schizophrenia models. While certain autism models also exhibited decreased pH and increased lactate levels, others showed the opposite pattern, potentially reflecting subpopulations within the autism spectrum. Furthermore, utilizing large-scale behavioral test battery, a multivariate cross-validated prediction analysis demonstrated that poor working memory performance was predominantly associated with increased brain lactate levels. Importantly, this association was confirmed in an independent cohort of animal models. Collectively, these findings suggest that altered brain pH and lactate levels, which could be attributed to dysregulated excitation/inhibition balance, may serve as transdiagnostic endophenotypes of debilitating neuropsychiatric disorders characterized by cognitive impairment, irrespective of their beneficial or detrimental nature.

neuroscience↗

bioRxiv2020

Cross-ecosystem transcriptomics identifies distinct genetic modules for nutrient acquisition in maize

Plants have evolved diverse strategies for the acquisition of the macro-nutrients phosphorus and nitrogen; e.g., mycorrhizal formation, root development, and secretion of chelators/hydrolases to liberate inorganic phosphate. Despite the extensive studies on the individual strategies, there is little information about how plants regulate these strategies in response to fluctuating environment. We approached this issue via profiling transcriptomes of plants grown in large environmental gradients. Roots, leaves, and root-zone soils of 251 maize plants were collected across the US Corn Belt and Japan. RNA was extracted from the roots and sequenced, and the leaves and soils were analyzed. Nineteen genetic modules were defined by weighted gene coexpression network analysis and functionally characterized according to gene ontology analysis, by which we found three modules that are directly involved in nutrient acquisition: mycorrhizal formation, phosphate-starvation response (PSR), and root development. Correlation analysis with soil and plant factors revealed that both phosphorus and nitrogen deficiencies upregulated the mycorrhizal module, whereas the PSR module was upregulated mainly by deficiency in phosphorus relative to nitrogen. Expression levels of the root development module were negatively correlated with those of the mycorrhizal module, suggesting that nutrient acquisition through the two pathways, mycorrhizas and roots, are opposite strategies that are employed under nutrient-deficient and -enriched conditions, respectively. The identification of the soil and plant factors that drive the modules has implications for sustainable agriculture; activation/optimization of the strategies is feasible via manipulating the factors. Overall, our study opens a new window for understanding plant response to complex environments.

plant biology↗