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Fujiyama, A.

Publications and source records attributed to Fujiyama, A..

9 recordsLinked to original sources

Ether-lipid deficiency remodels the testicular interstitium beyond spermatogenic arrest in Gnpat-knockout mice

Ether lipids, including plasmalogens and the germ-cell glycolipid seminolipid, require the peroxisomal enzyme GNPAT. Gnpat-knockout mice are male-infertile, but their testis has been described only qualitatively. We immunostained testis sections from 12-week-old wild-type (WT) and Gnpat-knockout (KO) mice (n = 3 per genotype) for SOX9 and {gamma}H2AX with DAPI and analysed 24 fields (22,560 nuclei) with an automated pipeline and a conservative animal-level analysis. Seminiferous tubules fell from 90% to 43% of the section, and the interstitium expanded five-fold (from 11% to 54%). Interstitial cells were 1.6-fold larger but not more densely packed, and half of them, against a quarter in WT, showed lipofuscin-like autofluorescence. Spermatid-sized nuclei fell from 38% to 10%, with the loss confined to the adluminal compartment. The architectural, interstitial and germ-cell changes held at the animal level (P [≤] 0.02). Anucleate SOX9-immunoreactive bodies, likely residual bodies, were 2.2-fold rarer, and {gamma}H2AX was not increased, which argues against a DNA-damage checkpoint arrest. Ether-lipid deficiency thus arrests germ cells, most likely through loss of seminolipid, and remodels the interstitium into an expanded compartment of enlarged, autofluorescent cells, a second target relevant to rhizomelic chondrodysplasia punctata.

physiology↗

OmiCoreTumorDetector: an open, molecularly validated model for mapping tumour regions in colorectal cancer H&E sections

Defining tumour regions on haematoxylin and eosin (H&E) sections is a routine first step in spatial-omics studies, yet it is usually done by hand and is difficult to reproduce. We present OmiCoreTumorDetector, an openly licensed model that maps tumour-enriched regions in colorectal cancer (CRC) H&E sections and exports them as QuPath-compatible annotations. The released model (omicore-tumordetector-crc-he-v0.1) is an ensemble of three convolutional classifiers trained on 100,000 public tissue tiles, combined with Macenko stain normalisation at inference. During development we found that the main obstacle to reuse was calibration under stain-domain shift rather than discrimination: a single model kept an area under the ROC curve (AUROC) of 0.955 on unseen slides while its sensitivity at the conventional 0.5 threshold fell to 0.48. Training on non-normalised tiles raised tumour AUROC on an independently collected tile set from 0.836 to 0.992, and normalising at inference reduced false-positive tumour area in normal-adjacent tissue by 16- to 26-fold. On five 10x Visium HD CRC sections that share no material with the training data, the released model called 27.7-48.5% of tissue as tumour in three carcinoma sections and 0.08% and 1.82% in two normal-adjacent sections, exporting no tumour region from either normal section. On the carcinoma section with matched single-cell-resolution transcriptomics, agreement with transcriptome-derived tumour-cell identities reached an AUROC of 0.985 (95% spatial-block bootstrap CI 0.975-0.993). The image model never observes gene expression, so this is orthogonal evidence. The model localises tumour-enriched regions at 112 um resolution; it does not identify individual malignant cells and has not yet been validated across scanners, institutions or histological variants. Code, weights and evaluation are released under Apache-2.0 and installable with pip install omicoretumordetector.

pathology↗

Identification of a microRNA with a mutation in the loop structure in the silkworm Bombyx mori

MicroRNAs (miRNAs) play essential roles in the posttranscriptional regulation of gene expression in organisms. In the process of synthesizing mature miRNAs from miRNA precursors, the miRNA precursors are cleaved via Dicer at their loop structure, after which the miRNA precursors become mature and regulate transcription. However, the consequences of altering the loop sequence are not fully understood. The silkworm Bombyx mori is a lepidopteran insect with many genetic strains. We identified a mutant of the miRNA miR-3260 whose the part of the loop structure was lacking in a silkworm strain with translucent larval skin. Here, we aimed to analyze the role of wild-type miR-3260 and the influence of the mutation of the loop structure in B. mori. First, we identified the genomic region responsible for the translucent larval skin phenotype and determined that the mutated miR-3260 nucleotide sequences. Then, we predicted the binding partners of wild-type miR-3260 using the RNA hybrid tool and found two juvenile hormone (JH)-related genes as targets of wild-type miR-3260. Next, we assessed the relationships between miR-3260 and JH and found that miR-3260 was highly expressed in the Corpora allata and its expression responded to JH treatment. Meanwhile, miR-3260 mimic and inhibitor did not induce the typical phenotypes associated with JH in B. mori. Then, we compared the dicing products from wild-type and mutant miR-3260 precursors and observed that neither form underwent Dicer-mediated cleavage when the loop structure was altered. These results suggest that loop mutations in the miR-3260 precursor may not influence dicing activity, consistent with the lack of observable phenotypic effects.

molecular biology↗

Hepatic Ketogenesis Attenuates Cardiac Hypertrophy via Metabolic Reprogramming

BackgroundHeart failure with preserved ejection fraction (HfpEF) is increasingly recognized as a multisystem disorder linked to the cardiovascular-kidney-metabolic (CKM) syndrome. While the falling heart undergoes metabolic reprogramming, the interorgan crosstalk regulating myocardial substrate preference in HFpEF remains elusive. We aimed to clarify the role of systemic and local ketogenesis in the pathogenesis of cardiac hypertrophy and HFpEF. MethodsA mouse model of HFpEF was employed using a high-fat diet combined with NG-Nitro-L-arginine methyl ester hydrochloride (L-NAME). Cardiac hypertrophy and systemic metabolic profiling including ketogenesis were evaluated. To dissect the role of site-specific ketogenesis, we generated inducible cardiomyocyte-specific (Hmgcs2{Delta}iCM) and hepatocyte-specific (Hmgcs2{Delta}Hep) knockout mice of HMG-CoA synthase 2 (Hmgcs2), deficient in the rate-limiting enzyme for ketogenesis. Cardiomyocyte -specific nuclei were isolated for transcriptomic (RNA-seq) and in vitro assays in H9C2 cells were used to elucidate molecular mechanisms. ResultsThe HFpEF model successfully exhibited diastolic dysfunction, impaired exercise capacity and cardiac hypertrophy with elevated circulating ketone body concentration. Myocardial metabolomics and snRNA-seq identified a profound metabolic shift characterized by the accumulation of long-chain fatty acids and Krebs cycle intermediates, coupled with the transcriptional downregulation of insulin signaling and fatty acid degradation pathways. Although circulating ketone body level was upregulated, Hmgcs2{Delta}iCM mice showed no exacerbation of the HFpEF phenotype. In contrast, Hmgcs2{Delta}Hep mice exhibited significantly aggravated cardiac hypertrophy (HW/TL; Hmgcs2flox: 7.41 {+/-} 0.87: Hmgcs2{Delta}Hep: 8.29 {+/-} 0.73; p = 0.0154). Mechanistically, hepatic ketogenesis was required to maintain circulating beta-hydroxybutyrate (BHB) levels, which directly modulated cardiomyocyte metabolism. BHB acted as a metabolic signal to dampen fatty acid overload and facilitate glucose utilization. ConclusionsOur study identifies a critical "liver-heart axis" where hepatic ketogenesis serves as an essential regulator of myocardial metabolic resilience. Impaired hepatic ketogenesis creates a metabolic mismatch that drives pathological cardiac remodeling. These findings highlight the liver as a therapeutic target within the CKM syndrome framework, suggesting that restoring the hepato-cardiac metabolic bridge may ameliorate HFpEF progression. What is New?O_LIThis study identifies a novel liver-adipose-heart axis that governs myocardial metabolic resilience during the development of heart failure with preserved ejection fraction (HFpEF). C_LIO_LIWe demonstrate that while both the liver and heart upregulate ketogenesis under metabolic stress, only hepatic ketogenesis--and not cardiac-intrinsic ketogenesis--is essential for mitigating pathological cardiac remodeling. C_LIO_LIMechanistically, liver-derived {beta} -hydroxybutyrate acts as a critical C_LIO_LIendocrine signal that dampens fatty acid oxidation and facilitates myocardial glucose utilization. C_LI What Are the Clinical Implications?O_LIOur findings highlight the liver as a central therapeutic target within the cardiovascular-kidney-metabolic (CKM) syndrome framework, where hepatic metabolic failure directly drives cardiac dysfunction. C_LIO_LIRestoring the hepato-cardiac metabolic bridge, through either hepatic-targeted therapies or ketone body supplementation, represents a promising strategy to enhance myocardial metabolic flexibility and ameliorate HfpEF in patients with multi-organ metabolic disorders. C_LI

biochemistry↗

The arms race in noncoding regions of transposable element: the evolution of anti-silencing and RNAi

Transposable elements (TEs) are among the most dynamic parts of genomes. Since TEs are potentially deleterious, eukaryotes silence them through epigenetic mechanisms such as DNA methylation and RNAi. We have previously reported that Arabidopsis TEs, called VANDALs, counteract epigenetic silencing through a group of sequence-specific anti-silencing proteins, VANCs. VANC proteins bind to noncoding regions of specific VANDAL copies and induce a loss of silent chromatin marks. Sequence-specific anti-silencing allows these TEs to proliferate with minimum host damage. Here, we show that RNAi efficiently targets noncoding regions of VANDAL TEs to silence them de novo. Target motifs of VANC, in turn, evolved to escape RNAi. Escaping RNAi could be the primary event leading to the differentiation of sequence-specific anti-silencing systems. We propose that this selfish behaviour of TEs paradoxically could make them less harmful to the host.

genetics↗

Large DNA virus promoted the endosymbiotic evolution to make a photosynthetic eukaryote

Chloroplasts in photosynthetic eukaryotes originated from a cyanobacterial endosymbiosis far more than 1 billion years ago1-3. Due to this ancientness, it remains unclear how this evolutionary process proceeded. To unveil this mystery, we analysed the whole genome sequence of a photosynthetic rhizarian amoeba4, Paulinella micropora5,6, which has a chloroplast-like organelle that originated from another cyanobacterial endosymbiosis7-10 about 0.1 billion years ago11. Here we show that the predacious amoeba that engulfed cyanobacteria evolved into a photosynthetic organism very quickly in the evolutionary time scale, probably aided by the drastic genome reorganization activated by large DNA virus. In the endosymbiotic evolution of eukaryotic cells, gene transfer from the endosymbiont genome to the host nucleus is essential for the evolving host cell to control the endosymbiont-derived organelle12. In P. micropora, we found that the gene transfer from the free-living and endosymbiotic bacteria to the amoeba nucleus was rapidly activated but both simultaneously ceased within the initiation period of the endosymbiotic evolution, suggesting that the genome reorganization drastically proceeded and completed. During this period, large DNA virus appeared to have infected the amoeba, followed by the rapid amplification and diversification of virus-related genes. These findings led us to re-examine the conventional endosymbiotic evolutionary scenario that exclusively deals with the host and the symbiont, and to extend it by incorporating a third critical player, large DNA virus, which activates the drastic gene transfer and genome reorganization between them. This Paulinella version of the evolutionary hypothesis deserves further testing of its generality in evolutionary systems and could shed light on the unknown roles of large DNA viruses13 in the evolution of terrestrial life.

evolutionary biology↗

Seasonal stability and dynamics of DNA methylation in plants in a natural environment

Organisms survive in naturally fluctuating environments by responding to long-term signals, such as seasonality, by filtering out short-term noise. DNA methylation has been considered a stable epigenetic mark but has also been reported to change in response to experimental manipulations of biotic and abiotic factors. However, it is unclear how they behave in natural environments. Here, we analyzed seasonal patterns of genome-wide DNA methylation at a single-base resolution using a single clone from a natural population of the perennial Arabidopsis halleri. The genome-wide pattern of DNA methylation was primarily stable, and most of the repetitive regions were methylated across the year. Although the proportion was small, we detected seasonally methylated cytosines (SeMCs) in the genome. SeMCs in the different contexts showed distinct seasonal patterns of methylation. SeMCs in CHH context were detected predominantly at repetitive sequences in intergenic regions. Additionally, we found that CHH methylation within AhgFLC locus showed a seasonal pattern that was negatively associated with changes in gene expression. Gene-body CG methylation (gbM) itself was generally stable across seasons, but the levels of gbM were positively associated with seasonal stability of RNA expression of the genes. These results suggest the existence of two distinct aspects of DNA methylation in natural environments: sources of epigenetic variation and epigenetic marks for stable gene expression.

plant biology↗

De Novo assembly of the goldfish (Carassius auratus) genome and the evolution of genes after whole genome duplication

For over a thousand years throughout Asia, the common goldfish (Carassius auratus) was raised for both food and as an ornamental pet. Selective breeding over more than 500 years has created a wide array of body and pigmentation variation particularly valued by ornamental fish enthusiasts. As a very close relative of the common carp (Cyprinus carpio), goldfish shares the recent genome duplication that occurred approximately 14-16 million years ago (mya) in their common ancestor. The combination of centuries of breeding and a wide array of interesting body morphologies is an exciting opportunity to link genotype to phenotype as well as understanding the dynamics of genome evolution and speciation. Here we generated a high-quality draft sequence of a \"Wakin\" goldfish using 71X PacBio long-reads. We identified 70,324 coding genes and more than 11,000 non-coding transcripts. We found that the two sub-genomes in goldfish retained extensive synteny and collinearity between goldfish and zebrafish. However, \"ohnologous\" genes were lost quickly after the carp whole-genome duplication, and the expression of 30% of the retained duplicated gene diverged significantly across seven tissues sampled. Loss of sequence identity and/or exons determined the divergence of the expression across all tissues, while loss of conserved, non-coding elements determined expression variance between different tissues. This draft assembly also provides an important resource for comparative genomics with the very commonly used zebrafish model (Danio rerio), and for understanding the underlying genetic causes of goldfish variants.

genomics↗

The genomic landscape at a late stage of stickleback speciation: high genomic divergence interspersed by small localized regions of introgression

Speciation is a continuous process and analysis of species pairs at different stages of divergence provides insight into how it unfolds. Genomic studies on young species pairs have often revealed peaks of divergence and heterogeneous genomic differentiation. Yet it remains unclear how localised peaks of differentiation progress to genome-wide divergence during the later stages of speciation with gene flow. Spanning the speciation continuum, stickleback species pairs are ideal for investigating how genomic divergence builds up during speciation. However, attention has largely focused on young postglacial species pairs, with little known of the genomic signatures of divergence and introgression in older systems. The Japanese stickleback species pair, composed of the Pacific Ocean three-spined stickleback (Gasterosteus aculeatus) and the Japan Sea stickleback (G. nipponicus), which co-occur in the Japanese islands, is at a late stage of speciation. Divergence likely started well before the end of the last glacial period and crosses between Japan Sea females and Pacific Ocean males result in hybrid male sterility. Here we use coalescent analyses and Approximate Bayesian computation to show that the two species split approximately 0.68-1 million years ago but that they have continued to hybridise at a low rate throughout divergence. Population genomic data revealed that high levels of genomic differentiation are maintained across the majority of the genome when gene flow occurs. However despite this, we identified multiple, small regions of introgression, strongly correlated with recombination rate. Our results demonstrate that a high level of genome-wide divergence can establish in the face of persistent introgression and that gene flow can be localized to small genomic regions at the later stages of speciation with gene flow.\n\nAuthor summaryWhen species evolve, reproductive isolation leads to a build-up of differentiation in the genome where genes involved in the process occur. Much of our understanding of this comes from early stage speciation, with relatively few examples from more divergent species pairs that still exchange genes. To address this, we focused on Pacific Ocean and Japan Sea sticklebacks, which co-occur in the Japanese islands. We established that they are the oldest and most divergent known stickleback species pair, that they evolved in the face of gene flow and that this gene flow is still on going. We found introgression is confined to small, localised genomic regions where recombination rate is high. Our results show high divergence can be maintained between species, despite extensive gene flow.

evolutionary biology↗