Biology subjects

Mitsuhashi, H.

Publications and source records attributed to Mitsuhashi, H..

7 recordsLinked to original sources

bioRxiv2026

Multi-omics characterization of astrocyte subtypes reveals spatially coordinated astrocyte downregulation in depression

Major depressive disorder (MDD) is a complex psychiatric disorder affecting millions of individuals worldwide. Astrocytes, which have been implicated in MDD by several studies, are the most abundant non-neuronal cells in the brain and play critical roles in synaptic regulation, blood-brain barrier maintenance, and immune modulation. While astrocytic molecular and morphological abnormalities are well-established features of MDD, these alterations have not been resolved within their spatial context. Here, we combine spatial transcriptomics with matched snRNA-seq and snATAC-seq datasets to spatially map molecularly distinct astrocyte subtypes and define their regional contributions to MDD pathology. This spatial context further enables the characterization of astrocyte interactions with neighboring cell populations, providing a more holistic assessment of how dysfunctional astrocytes influence local brain microenvironments and circuit function in MDD. We identified spatially localized astrocytic dysfunction in deep cortical layers of the MDD dlPFC, converging across transcriptomic, chromatin, and spatial modalities and centering on the PSAP-GPR37L1 signaling axis. Together, these findings identify astrocyte dysfunction as a key feature of MDD and demonstrate the value of spatially resolved molecular profiling for uncovering how altered astrocyte-neuron communication within deep cortical layers may contribute to disease pathology.

neuroscience↗

bioRxiv2023

Differential Chromatin Architecture and Risk Variants in Deep Layer Excitatory Neurons and Grey Matter Microglia Contribute to Major Depressive Disorder

Major depressive disorder (MDD) associated genetic variants reside primarily in the non-coding, regulatory genome. Here we investigate genome-wide regulatory differences and putative gene-regulatory effects of disease risk-variants by examining chromatin accessibility combined with single-cell gene-expression profiles in over 200,000 cells from the dorsolateral prefrontal cortex (DLPFC) of 84 individuals with MDD and neurotypical controls. MDD-associated accessibility alterations were prominent in deep-layer excitatory neurons characterized by transcription factor (TF) motif accessibility and binding of nuclear receptor (NR)4A2, an activity-dependent TF responsive to pathological stress. The same neurons were significantly enriched for MDD-associated genetic variation disrupting cis-regulatory sites and TF binding associated with genes involved in synaptic communication. Furthermore, a grey matter microglial cluster exhibited differentially closed chromatin in MDD affecting binding sites bound by TFs known to regulate immune homeostasis. In summary, our study points to specific cell types and regulatory mechanisms whereby genetic variation may increase predisposition to MDD.

genomics↗

bioRxiv2022

Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes

Major depressive disorder (MDD) is a common, heterogenous, and potentially serious psychiatric illness. Diverse brain cell types have been implicated in MDD etiology. Significant sexual differences exist in MDD clinical presentation and outcome, and recent evidence suggests different molecular bases for male and female MDD. We evaluated over 160,000 nuclei from 71 female and male donors, leveraging new and pre-existing single-nucleus RNA-sequencing data from the dorsolateral prefrontal cortex. Cell type specific transcriptome-wide threshold-free MDD-associated gene expression patterns were similar between the sexes, but significant differentially expressed genes (DEGs) diverged. Among 7 broad cell types and 41 clusters evaluated, microglia and parvalbumin interneurons contributed the most DEGs in females, while deep layer excitatory neurons, astrocytes, and oligodendrocyte precursors were the major contributors in males. Further, the Mic1 cluster with 38% of female DEGs and the ExN10_L46 cluster with 53% of male DEGs, stood out in the meta-analysis of both sexes.

neuroscience↗

bioRxiv2020

Nanopore direct RNA sequencing detects DUX4-activated repeats and isoforms in human muscle cells

Facioscapulohumeral muscular dystrophy (FSHD) is an inherited muscle disease caused by misexpression of the DUX4 gene in skeletal muscle. DUX4 is a transcription factor which is normally expressed in the cleavage-stage embryo and regulates gene expression involved in early embryonic development. Recent studies revealed that DUX4 also activates the transcription of repetitive elements such as endogenous retroviruses (ERVs), mammalian apparent LTR-retrotransposons (MaLRs), and pericentromeric satellite repeats (HSATII). DUX4-bound ERV sequences also create alternative promoters for genes or long non-coding RNAs (lncRNAs), producing fusion transcripts. To further understand transcriptional regulation by DUX4, we performed nanopore long-read direct RNA sequencing (dRNA-seq) of human muscle cells induced by DUX4, because long reads show whole isoforms with greater confidence. We successfully detected differential expression of known DUX4-induced genes, and discovered 61 differentially-expressed repeat loci, which are near DUX4-ChIP peaks. We also identified 247 gene-ERV fusion transcripts, of which 216 were not reported previously. In addition, long-read dRNA-seq clearly shows that RNA splicing is a common event in DUX4-activated ERV transcripts. Long-read analysis showed non-LTR transposons including Alu are also transcribed from LTRs. Our findings revealed further complexity of DUX4-induced ERV transcripts. This catalogue of DUX4-activated repetitive elements may provide useful information to elucidate the pathology of FSHD. Also, our results indicate that nanopore dRNA-seq has complementary strengths to conventional short read cDNA sequencing.

genomics↗

bioRxiv2019

Comprehensive genomic analysis reveals dynamic evolution of mammalian transposable elements that code for viral-like protein domains

Endogenous retroviruses (ERVs) are remnants of ancient retroviral infections of mammalian germline cells. A large proportion of ERVs lose their open reading frames (ORFs), while others retain them and become exapted by the host species. However, it remains unclear what proportion of ERVs possess ORFs (ERV-ORFs), become transcribed, and serve as candidates for co-opted genes. Hence, we investigated characteristics of 176,401 ERV-ORFs containing retroviral-like protein domains (gag, pro, pol, and env) in 19 mammalian genomes. The fractions of ERVs possessing ORFs were overall small ([~]0.15%) although they varied depending on domain types as well as species. The observed divergence of ERV-ORF from their consensus sequences suggested that a large proportion of ERV-ORFs either recently or anciently inserted themselves into mammalian genomes. Alternatively, very few ERVs lacking ORFs were found to exhibit similar divergence patterns. To identify ERV-ORFs transcribed as proteins, we compared ERV-ORFs with various multi-omics data including transcriptome data, trimethylation at histone H3 lysine 36, and transcription initiation sites from 2,834 cell types, and found 408 and 752 ERV-ORFs, accounting for 2-3% of all ERV-ORFs, with high transcriptional potential in humans and mice, respectively. Moreover, many of these ERV-ORFs with transcriptional potential were lineage-specific sequences exhibiting tissue-specific expression. These results suggest a possibility for the expression of uncharacterized functional genes containing ERV-ORFs hidden within mammalian genomes. Together, our analyses suggest that more ERV-ORFs may be co-opted in a host-species specific manner than we currently know, which are likely to have contributed to mammalian evolution and diversification.

genomics↗

bioRxiv2018

Robust detection of tandem repeat expansions from long DNA reads

Tandemly repeated sequences are highly mutable and variable features of genomes. Tandem repeat expansions are responsible for a growing list of human diseases, even though it is hard to determine tandem repeat sequences with current DNA sequencing technology. Recent long-read technologies are promising, because the DNA reads are often longer than the repetitive regions, but are hampered by high error rates. Here, we report robust detection of human repeat expansions from careful alignments of long (PacBio and nanopore) reads to a reference genome. Our method (tandem-genotypes) is robust to systematic sequencing errors, inexact repeats with fuzzy boundaries, and low sequencing coverage. By comparing to healthy controls, we can prioritize pathological expansions within the top 10 out of 700000 tandem repeats in the genome. This may help to elucidate the many genetic diseases whose causes remain unknown.

genetics↗

bioRxiv2017

Nanopore-based single molecule sequencing of the D4Z4 array responsible for facioscapulohumeral muscular dystrophy

Subtelomeric macrosatellite repeats are difficult to sequence using conventional sequencing methods owing to the high similarity among repeat units and high GC content. Sequencing these repetitive regions is challenging, even with recent improvements in sequencing technologies. Among these repeats, a haplotype of the telomeric sequence and shortening of the D4Z4 array on human chromosome 4q35 causes one of the most prevalent forms of muscular dystrophy with autosomal-dominant inheritance, facioscapulohumeral muscular dystrophy (FSHD). Here, we applied a nanopore-based ultra-long read sequencer to sequence a BAC clone containing 13 D4Z4 repeats and flanking regions. We successfully obtained the whole D4Z4 repeat sequence, including the pathogenic gene DUX4 in the last D4Z4 repeat. The estimated sequence accuracy of the total repeat region was 99.7% based on a comparison with the reference sequence. Errors were typically observed between purine or between pyrimidine bases. Further, we analyzed the D4Z4 sequence from publicly available ultra-long whole human genome sequencing data obtained by nanopore sequencing. This technology may become a new standard for the molecular diagnosis of FSHD in the future and has the potential to widen our understanding of subtelomeric regions.

bioinformatics↗