Biology subjects

Saeki, T.

Publications and source records attributed to Saeki, T..

9 recordsLinked to original sources

bioRxiv2025

FOXM1 Expression in Invasive Ductal Breast Carcinoma of No Special Type: Insights from RNA-seq and Immunohistochemical Analysis

BackgroundInvasive ductal carcinoma of no special type (IDC-NST) is the most common subtype of breast cancer, characterized by significant clinical heterogeneity. Forkhead box M1 (FOXM1) is a key transcription factor involved in cell cycle regulation and tumor progression, but its expression profile and clinical significance in IDC-NST remain incompletely understood. MethodsWe analyzed FOXM1 expression in a cohort of 100 IDC-NST patients using RNA sequencing and immunohistochemistry (IHC). FOXM1 mRNA levels were quantified, and protein expression was scored based on the percentage of positive tumor cells. Differentially expressed genes (DEGs) between high and low FOXM1 expression groups were identified, followed by pathway enrichment and protein-protein interaction (PPI) network analyses. The prognostic value of FOXM1 was evaluated by recurrence-free survival (RFS) analysis. ResultsFOXM1 protein expression correlated significantly with mRNA abundance in 22 representative cases (p < 0.05). Receiver operating characteristic (ROC) curve analysis identified a cut-off value of 4.954 CPM for FOXM1 mRNA to predict recurrence (AUC = 0.642). High FOXM1 expression was associated with larger tumor size, higher histological grade, and negative hormone receptor status. Patients with high FOXM1 expression exhibited significantly poorer 5-year RFS (73.6% vs. 92.3%, p < 0.001). Multivariate analysis confirmed FOXM1 as an independent prognostic factor (HR 15.26; p = 0.026). Transcriptomic profiling revealed 190 upregulated and 197 downregulated genes in the FOXM1-high group, enriched in cell cycle and mitotic pathways. PPI network analysis positioned FOXM1 as a central hub coordinating genes involved in chromosomal stability and mitosis. ConclusionsFOXM1 overexpression is a strong independent predictor of poor prognosis in IDC-NST and plays a critical role in tumor proliferation and genome integrity. These findings support FOXM1 as a potential prognostic biomarker and therapeutic target, warranting further investigation into FOXM1-targeted therapies for breast cancer management.

cancer biology↗

bioRxiv2025

Single-cell genomics of single soil aggregates: methodological assessment and potential implications with a focus on nitrogen metabolism

Soil particles in plant rooting zone are largely clustered to form complex porous structural unit called aggregates where highly diverse microbes coexist and drive biogeochemical cycling. The complete extraction of microbial cells and DNA from soil is a substantial task as certain microbes exhibit strong adhesion to soil surfaces and/or inhabit deep within aggregates. Yet, the degree of aggregate dispersion and the efficacy of extraction have rarely been examined, and thus adequate cell extraction method from soil remain unclear. We aimed to develop an optimal method of cell extraction for single-cell genomics (SCG) analysis of single soil aggregates by focusing on water-stable macroaggregates (diameter: 5.6-8.2 mm) isolated from a topsoil of cultivated Acrisol. Using the same six individual aggregates, we performed both SCG sequencing and amplicon analysis. While both bead-vortexing and sonication dispersion methods improved the extractability of bacterial cells compared to previous studies, the latter yielded higher number and more diverse microbes compared to the former. The analyses of nitrogen-cycling and exopolysaccharides-related genes suggested that the sonication-assisted extraction led to greater recovery of microbes strongly attached to soil particles and/or inhabited the aggregate subunits that were more physically stable (e.g., aggregate core). Further SCG analysis revealed that all six aggregates held intact microbes having the genes (i.e., potentials) to convert nitrate into all possible nitrogen forms while some low-abundance genes showed inter-aggregate heterogeneity. In addition, all six aggregates studied showed overall similarity in pore characteristics, phylum-level composition, and the microbial functional redundancy. Together, these results suggest that water-stable macroaggregates may act as a functional unit in soil and show potential as a useful experimental unit in soil microbial ecology. Our study also suggest that conventional methods employed for the extraction of cell and DNA may not be optimal. The current findings underscore the necessity to advance extraction methodologies, thereby facilitating a more comprehensive understanding of the microbial diversity and functioning within soil environments.

microbiology↗

bioRxiv2023

Single Amplified Genome Catalog Reveals the Dynamics of Mobilome and Resistome in the Human Microbiome

The increase in metagenome-assembled genomes (MAGs) has significantly advanced our understanding of the functional characterization and taxonomic assignment within the human microbiome. However, MAGs, as population consensus genomes, often mask heterogeneity among species and strains, thereby obfuscating the precise relationships between microbial hosts and mobile genetic elements (MGEs). In contrast, single amplified genomes (SAGs) derived via single-cell genome sequencing can capture individual genomic content, including MGEs. We present the bbsag20 dataset, which encompasses 17,202 human-associated prokaryotic SAGs and 869 MAGs, spanning 647 gut and 312 oral bacterial species. The SAGs revealed diverse bacterial lineages and MGEs with a broad host range that were absent in the MAGs and traced the translocation of oral bacteria to the gut. Importantly, our SAGs linked individual mobilomes to resistomes and meticulously charted a dynamic network of antibiotic resistance genes (ARGs) on MGEs, pinpointing potential ARG reservoirs in the microbial community.

microbiology↗

bioRxiv2023

In Vivo mRNA Hacking with Staple Oligomers Prevents Myocardial Hypertrophy

Summary paragraphThe elucidation of gene-silencing mechanisms by RNA interference (RNAi) and antisense oligomers has drawn increasing attention to nucleic acid medicine. However, several challenges remain to be overcome, such as in vivo stability1, target selectivity 2,3, drug delivery4,5, and induced innate immunity6. Here, we report a new, versatile, and highly-selective method to hack RNA by controlling RNA structure using short oligonucleotides (RNA hacking: RNAh) in living cells. The oligonucleotide, named Staple oligomer, hybridizes specifically to a target mRNA and artificially induces an RNA higher-order structure, RNA G-quadruplex (RGq)7, on the mRNA. As a result, the RGq allows effective suppression of the target protein translation. This technology does not require cooperation with bioprocesses including enzymatic reactions as in RNAi or antisense technologies, permitting the introduction of artificial nucleic acids into Staple oligomers to increase their in vivo stability without compromising their effectiveness. The method was validated by translational regulation of the mRNAs of TPM3, MYD88, and TRPC6, in a cell-free system and in living mammalian cells. In vivo application of the technology to TRPC6 mRNA allowed us to prevent cardiac hypertrophy in transverse aortic constriction (TAC)-treated mice with no detectable off-target effects. This technology provides new insights into gene therapy after RNAi and antisense technologies.

molecular biology↗

bioRxiv2022

Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencing

Bacterial genome structure changes dynamically, and structural variants can change bacterial phenotype; However, obtaining the complete genome and analyzing genome structure of uncultured bacteria has been challenging. We aimed to develop a single-cell amplified genome long-read assembly (scALA) workflow to construct circular single-cell amplified genomes (cSAGs) from long-read single-cell sequencing data of targeted uncultured bacteria. In particular, scALA generated cSAGs from nanopore long-read sequencing data of SAGs by producing contiguous sequences with repeated bias reduction and assembly processes. From 12 human fecal samples, scALA generated 16 cSAGs of three specifically targeted bacterial species, Anaerostipes hadrus, Agathobacter rectalis, and Ruminococcus gnavus. A. hadrus cSAGs exhibited large, ten kbp-long, phage insertions, saccharide metabolic capacity, and frequent genomic recombination with related strains from cohabitant hosts. Noteworthy, cSAGs constructed using this method could expand bacterial genome databases and our understanding of within-species diversities in uncultured bacteria.

microbiology↗

bioRxiv2021

Recovery of high-quality assembled genomes via single-cell genome-guided binning of metagenome assembly

BackgroundObtaining high-quality (HQ) reference genomes from microbial communities is crucial for understanding the phylogeny and function of uncultured microbes in complex microbial ecosystems. Despite the improved bioinformatic approaches to generate curated metagenome-assembled genomes (MAGs), existing metagenomic binners often fail to obtain reliable MAGs, and thus, they are nowhere comparable to genomes sequenced from isolates in terms of strain level resolution. Here, we present a single-cell genome-guided metagenome binning (MetaSAG) to reconstruct the strain-resolved genomes from microbial communities at once. ResultsMetaSAG employs single-cell amplified genomes (SAGs) generated with microfluidic technology as binning guides to recover improved draft genomes with the metagenomic data. To assess the performance of reconstructing genomes from various microbial communities, we compared MetaSAG with four conventional metagenomic binners using a cell mock community, human gut microbiota, and skin microbiota samples. MetaSAG showed precise contig binning and higher recovery rates (>97%) of rRNA and plasmids compared to conventional binners in genome reconstruction from the cell mock community. In human microbiota samples, MetaSAG recovered the largest number of genomes with a total of 103 gut microbial genomes (21 HQ and 65 showed >90% completeness) and 45 skin microbial genomes (10 HQ and 40 showed >90% completeness), respectively. Conventional binners recovered one Staphylococcus hominis genome, whereas MetaSAG recovered two S. hominis genomes from the identical skin microbiota sample. Single-cell sequencing indicated that these S. hominis genomes clearly derived from two distinct strains harboring specifically different plasmids. We found that all conventional S. hominis MAGs had substantial lack or excess of the genome sequences and contamination of other Staphylococcus bacteria (S. epidermidis). ConclusionsMetaSAG enabled us to obtain the strain-resolved genomes in the mock community and human microbiota samples by assigning metagenomic sequences correctly and covering both highly conserved genes such as rRNA genes and unique extrachromosomal elements, including plasmids. MetaSAG will provide HQ genomes that are difficult to obtain with metagenomic analyses alone and will facilitate the understanding of microbial ecosystems by elucidating detailed metabolic pathways and horizontal gene transfer networks through microbial genomes. MetaSAG is available at https://github.com/kojiari/metasag.

microbiology↗

bioRxiv2021

A single- and paired-pulse TMS-EEG investigation of the N100 and long interval cortical inhibition in autism spectrum disorder

BackgroundThere is evidence to suggest a disruption of gamma-aminobutyric acid (GABA) in autism spectrum disorder (ASD), but findings are mixed. Concurrent electroencephalography and transcranial magnetic stimulation (TMS-EEG) provides a novel method by which to probe GABA-mediated cortical inhibition. MethodsWith a particular focus on GABAB-ergic mechanisms, we investigated the N100 peak of the TMS evoked potential (TEP), as well as long interval cortical inhibition (LICIEEG) in adults with ASD (n = 23; 12 female) without intellectual disability, and a neurotypical comparison group (n =22; 12 female) matched for age, sex, and IQ. Seventy-five single-(spTMS) and 75 paired-(ppTMS; 100 ms inter-stimulus-interval) pulses were applied to the right primary motor cortex (M1), right temporoparietal junction (TPJ), and right dorsolateral prefrontal cortex (DLPFC) while EEG was recorded from 20 scalp electrodes. Additionally, electromyography (EMG) was used to investigate corticospinal inhibition following ppTMS to M1 (LICIEMG). ResultsThere were no group differences in the N100 amplitude or latency following spTMS. LICI outcomes following ppTMS, as measured by either EEG or EMG, also did not differ between groups. These findings were further supported by Bayesian analyses, which provided weak-moderate support for the null hypothesis. LimitationsData presented here reflect adults without intellectual disability, and the generalisability of these results is therefore limited. ConclusionsThe findings of this study argue against GABAB-ergic impairment in adults with ASD without intellectual disability, at least at the cortical regions examined. Further research investigating these mechanisms in ASD at various ages, with varying degrees of symptomatology, and at different brain sites is an important factor in understating the role of GABA in the neuropathophysiology of ASD.

neuroscience↗

bioRxiv2018

The expansion in lymphoid organs of IL-4+ BATF+ T follicular helper cells is linked to IgG4 class switching in vivo

Distinct TFH subsets that influence specific class-switching events are assumed to exist, but the accumulation of isotype-specific TFH subsets in secondary and tertiary lymphoid organs has not been hitherto demonstrated. IL-4 expressing TFH cells are surprisingly sparse in human secondary lymphoid organs. In sharp contrast, in IgG4-related disease (IgG4-RD), a disorder characterized by polarized Ig class switching, most TFH cells in tertiary and secondary lymphoid organs make IL-4. Human IL-4+ TFH cells do not express GATA-3 but express nuclear BATF, and the transcriptomes of IL-4 secreting TFH cells differ both from PD1hi TFH cells that do not secrete IL-4 and IL4-secreting non-TFH cells. Unlike IgG4-RD, IL-4+ TFH cells are rarely found in tertiary lymphoid organs in Sjogrens syndrome, a disorder in which IgG4 is not elevated. The proportion of CD4+IL-4+BATF+ T cells as well as of CD4+IL-4+CXCR5+ T cells in IgG4-RD tissues correlates tightly with tissue IgG4 plasma cell numbers and plasma IgG4 levels in patients but not with the total plasma levels of other isotypes. These data describe a disease-related TFH sub-population in human tertiary and secondary lymphoid organs that is linked to IgG4 class switching.

immunology↗

bioRxiv2017

Demonstration of short-term plasticity in the dorsolateral prefrontal cortexwith theta burst stimulation: A TMS-EEG study

ObjectivesTo examine the effects of intermittent TBS (iTBS) and continuous TBS (cTBS) on cortical reactivity in the dorsolateral prefrontal cortex.\n\nMethods10 healthy participants were stimulated with either iTBS, cTBS or sham at F3 electrode. Single- and paired-pulse TMS and concurrent electroencephalography (EEG) were used to assess change in cortical reactivity and long-interval intracortical inhibition (LICI) via TMS-evoked potentials (TEPs) and TMS-evoked oscillations.\n\nResultsSignificant increases in N120 amplitudes (p < 0.01) were observed following iTBS over prefrontal cortex. Changes in TMS-evoked theta oscillations and LICI of theta oscillations were also observed following iTBS (increase) and cTBS (decrease). Change in LICI of theta oscillations correlated with change in N120 amplitude following TBS (r = -0.670, p = 0.001).\n\nConclusionsThis study provides preliminary evidence that TBS produces direct changes in cortical reactivity in the prefrontal cortex. Combining TBS with TMS-EEG may be a useful approach to optimise stimulation paradigms prior to the conduct of clinical trials.\n\nSignificanceTBS is able to modulate cortical reactivity and cortical inhibition in the prefrontal cortex.\n\nHighlightsO_LIEffects of iTBS and cTBS were studied in the DLPFC using TMS-EEG\nC_LIO_LIiTBS increased N120 amplitude, theta power and LICI of theta\nC_LIO_LIcTBS decreased theta power alone\nC_LI

neuroscience↗