Biology subjects

Shibuya, Y.

Publications and source records attributed to Shibuya, Y..

10 recordsLinked to original sources

bioRxiv2025

Heterochronic myeloid cell replacement reveals the local brain environment as key driver of microglia aging

Aging, the key risk factor for cognitive decline, impacts the brain in a region-specific manner, with microglia among the most affected cell types. However, it remains unclear whether this is intrinsically mediated or driven by age-related changes in neighboring cells. Here, we describe a scalable, genetically modifiable system for in vivo heterochronic myeloid cell replacement. We find reconstituted myeloid cells adopt region-specific transcriptional, morphological and tiling profiles characteristic of resident microglia. Young donor cells in aged brains rapidly acquired aging phenotypes, particularly in the cerebellum, while old cells in young brains adopted youthful profiles. We identified STAT1-mediated signaling as one axis controlling microglia aging, as STAT1-loss prevented aging trajectories in reconstituted cells. Spatial transcriptomics combined with cell ablation models identified rare natural killer cells as necessary drivers of interferon signaling in aged microglia. These findings establish the local environment, rather than cell-autonomous programming, as a primary driver of microglia aging phenotypes.

neuroscience↗

bioRxiv2025

Kaminari: a resource-frugal index for approximate colored k-mer queries

MotivationThe problem of identifying the set of textual documents from a given database containing a query string has been studied in various fields of computing, e.g., in Information Retrieval, Databases, and Computational Biology. We consider the approximate version of this problem, that is, the result set is allowed to contain some false positive matches (but no false negatives), and focus on the specific case where the indexed documents are DNA strings. In this setting, state-of-the-art solutions rely on Bloom filters as a way to index all k-mers (substrings of length k) in the documents. To answer a query, the k-mers of the query string are tested for membership against the index and documents that contain at least a user-prescribed fraction of them (e.g., 75-80%) are returned. Methods and resultsHere, we explore an alternative index design based on k-mer minimizers and integer compression methods. We show that a careful implementation of this design outperforms previous solutions based on Bloom filters by a wide margin: the index has lower memory footprint and faster query times, while false positive matches have only a minor impact on the ranking of the documents reported. This trend is robust across genomic datasets of different complexity and query workloads. SoftwareThe software is implemented in C++17 and available under the MIT license at github.com/yhhshb/kaminari. Reproducibility information and additional results are provided at github.com/vicLeva/benchmarks_kaminari.

bioinformatics↗

bioRxiv2024

Hyper-k-mers: efficient streaming k-mers representation

K-mers have become ubiquitous in modern bioinformatics pipelines. A key factor in their success is the ability to filter out erroneous k-mers by removing those with low abundances. However, large numbers of distinct k-mers make counting a memory-intensive step. Early tools addressed this issue by storing k-mers on disk. More recent solutions mitigate the excessive redundancy of overlapping k-mers by partially reassembling them into super-k-mers. Nevertheless, consecutive super-k-mers still overlap by k - 1 bases, leading to some degree of inefficiency. Here we present hyper-k-mers as an alternative, less redundant, representation of super-k-mers. Our contributions are three-fold. First, we propose hyper-k-mers, a new k-mer representation that asymptotically decreases duplication compared to super-k-mers. Second, we present a theoretical analysis comparing the space efficiency of super-k-mers, syncmers, and hyper-k-mers. Our approach offers significant advantages compared to super-k-mers, by reducing the asymptotic lower bound from 6 to 4 bits per nucleotide. Third, we present KFC, a k-mer counting algorithm leveraging hyper-k-mers. KFC offers significant practical advantages, including an order of magnitude improvement in memory usage compared to state-of-the-art tools. Notably, our experiments show that KFC is the only tool whose memory usage scales sub-linearly with k-mer size k, and is the fastest option when k is large. AvailabilityKFC is available at https://github.com/lrobidou/KFC with tests available at https://github.com/imartayan/KFC_experiments.

bioinformatics↗

bioRxiv2023

Proteostasis and lysosomal quality control deficits in Alzheimer's disease neurons

Aging is the most prominent risk factor for Alzheimers disease (AD). However, the cellular mechanisms linking neuronal proteostasis decline to the characteristic aberrant protein deposits in AD brains remain elusive. Here, we develop transdifferentiated neurons (tNeurons) from human dermal fibroblasts as a neuronal model that retains aging hallmarks and exhibits AD-linked vulnerabilities. Remarkably, AD tNeurons accumulate proteotoxic deposits, including phospho-Tau and A{beta}, resembling those in AD patient and APP mouse brains. Quantitative tNeuron proteomics identify aging and AD-linked deficits in proteostasis and organelle homeostasis, most notably in endosome-lysosomal components. Lysosomal deficits in aged tNeurons, including constitutive lysosomal damage and ESCRT-mediated lysosomal repair defects, are exacerbated in AD tNeurons and linked to inflammatory cytokine secretion and cell death. Supporting lysosomal deficits centrality in AD, compounds ameliorating lysosomal function reduce A{beta} deposits and cytokine secretion. Thus, the tNeuron model system reveals impaired lysosomal homeostasis as an early event of aging and AD.

cell biology↗

bioRxiv2023

Augmentation of a neuroprotective myeloid state by hematopoietic cell transplantation

Multiple sclerosis (MS) is an autoimmune disease associated with inflammatory demyelination in the central nervous system (CNS). Autologous hematopoietic cell transplantation (HCT) is under investigation as a promising therapy for treatment-refractory MS. Here we identify a reactive myeloid state in chronic experimental autoimmune encephalitis (EAE) mice and MS patients that is surprisingly associated with neuroprotection and immune suppression. HCT in EAE mice leads to an enhancement of this myeloid state, as well as clinical improvement, reduction of demyelinated lesions, suppression of cytotoxic T cells, and amelioration of reactive astrogliosis reflected in reduced expression of EAE- associated gene signatures in oligodendrocytes and astrocytes. Further enhancement of myeloid cell incorporation into the CNS following a modified HCT protocol results in an even more consistent therapeutic effect corroborated by additional amplification of HCT-induced transcriptional changes, underlining myeloid-derived beneficial effects in the chronic phase of EAE. Replacement or manipulation of CNS myeloid cells thus represents an intriguing therapeutic direction for inflammatory demyelinating disease.

neuroscience↗

bioRxiv2022

Efficient reconciliation of genomic datasets of high similarity

AO_SCPLOWBSTRACTC_SCPLOWWe apply Invertible Bloom Lookup Tables (IBLTs) to the comparison of k-mer sets originated from large DNA sequence datasets. We show that for similar datasets, IBLTs provide a more space-efficient and, at the same time, more accurate method for estimating Jaccard similarity of underlying k-mer sets, compared to MinHash which is a go-to sketching technique for efficient pairwise similarity estimation. This is achieved by combining IBLTs with k-mer sampling based on syncmers, which constitute a context-independent alternative to minimizers and provide an unbiased estimator of Jaccard similarity. A key property of our method is that involved data structures require space proportional to the difference of k-mer sets and are independent of the size of sets themselves. As another application, we show how our ideas can be applied in order to efficiently compute (an approximation of) k-mers that differ between two datasets, still using space only proportional to their number. We experimentally illustrate our results on both simulated and real data (SARS-CoV-2 and Streptococcus Pneumoniae genomes). Available at: https://github.com/yhhshb/km-peeler.git

bioinformatics↗

bioRxiv2022

Chromatin-modifying enzymes as modulators of nuclear size during lineage differentiation

The mechanism of nuclear size determination and alteration during normal lineage development and cancer pathologies which is not fully understood. As recently reported, chromatin modification can change nuclear morphology. Therefore, we screened a range of pharmacological chemical compounds that impact the activity of chromatin-modifying enzymes, in order to get a clue of the specific types of chromatin-modifying enzymes that remarkably effect nuclear size and shape. We found that interrupted activity of chromatin-modifying enzymes is associated with nuclear shape abnormalities. Furthermore, the activity of chromatin-modifying enzymes perturbs cell fate determination in cellular maintenance and lineage commitment. Our results indicated that chromatin-modifying enzyme regulates cell fate decision during lineage differentiation and is associate with nuclear size alteration. SignificanceHere we described for the first time the modulation of chromatin-modifying enzymes remarkably effects nuclear shape, and perturbs cell fate determination in cellular maintenance and lineage fate commitment in normal stem cells and leukemia cancer cells. We found that the irregularities of nuclear contour were highly related to pharmacological inhibition of chromatin-modifying enzyme activity. After manipulating a histone demethylase named GASC1, we found that upregulation of GASC1 impairs the differentiation of hESCs to terminally differentiated neural cells. Moreover, upregulation of GASC1 impairs the proliferation of leukemia cells due to cell cycle arrest in the G0/G1 phase and indicates misshapen nuclei. This study suggested that chromatin-modifying enzyme regulates the nuclear contour related cell fate decision also including cancer cell fate determination.

cancer biology↗

bioRxiv2021

Therapeutic downregulation of neuronal PAS domain 2 (Npas2) promotes surgical skin wound healing

Attempts to minimize scarring remain among the most difficult challenges facing surgeons, despite the use of optimal wound closure techniques. Previously, we reported improved healing of dermal excisional wounds in circadian clock neuronal PAS domain 2 (Npas2)-null mice. In this study, we performed high-throughput drug screening to identify a compound that downregulates Npas2 activity. The hit compound (Dwn1) suppressed circadian Npas2 expression, increased murine dermal fibroblast cell migration, and decreased collagen synthesis in vitro. Based on the in vitro results, Dwn1 was topically applied to iatrogenic full-thickness dorsal cutaneous wounds in a murine model. The Dwn1-treated dermal wounds healed faster with favorable mechanical strength and developed less granulation tissue than the controls. The expression of type I collagen, Tgf{beta}1, and -smooth muscle actin was significantly decreased in Dwn1-treated wounds, suggesting that hypertrophic scarring and myofibroblast differentiation are attenuated by Dwn1 treatment. NPAS2 may represent an important target for therapeutic approaches to optimal surgical wound management.

bioengineering↗

bioRxiv2020

Set-Min sketch: a probabilistic map for power-law distributions with application to k-mer annotation

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSMotivationC_ST_ABSIn many bioinformatics pipelines, k-mer counting is often a required step, with existing methods focusing on optimizing time or memory usage. These methods usually produce very large count tables explicitly representing k-mers themselves. Solutions avoiding explicit representation of k-mers include Minimal Perfect Hash Functions (MPHFs) or Count-Min sketches. The former is only applicable to static maps not subject to updates, while the latter suffers from potentially very large point-query errors, making it unsuitable when counters are required to be highly accurate. ResultsWe introduce Set-Min sketch - a sketching technique for representing associative maps inspired by Count-Min sketch - and apply it to the problem of representing k-mer count tables. Set-Min is provably more accurate than both Count-Min and Max-Min - an improved variant of Count-Min for static datasets that we define here. We show that Set-Min sketch provides a very low error rate, both in terms of the probability and the size of errors, at the expense of a very moderate memory increase. On the other hand, Set-Min sketches are shown to take up to an order of magnitude less space than MPHF-based solutions, especially for large values of k. Space-efficiency of Set-Min takes advantage of the power-law distribution of k-mer counts in genomic datasets. Availabilityhttps://github.com/yhhshb/fress

bioinformatics↗

bioRxiv2018

Old fibroblasts secrete inflammatory cytokines that drive variability in reprogramming efficiency and may affect wound healing between old individuals

Age-associated chronic inflammation (inflammaging) has emerged as a central hallmark of aging1-3, but its impact on specific cells is still largely unknown. Fibroblasts are present in all tissues and contribute to wound healing4-6. They are also the cell type that is mostly used for induced pluripotent stem cell (iPSC) reprogramming7 - a process that has implications for regenerative medicine and rejuvenation strategies8-17. Here we show that primary fibroblasts from old mice secrete inflammatory cytokines and that there is an increased variability in reprogramming efficiency between fibroblast cultures from old individuals. Individual-to-individual variability is emerging as a key feature of old age18-21, which could reflect distinct aging trajectories, but the underlying causes remain unknown. To identify drivers of this variability, we perform a multi-omic assessment of young and old fibroblast cultures with different reprogramming efficiency. This approach, coupled with single cell transcriptomics, reveals that old fibroblast cultures are heterogeneous and show a greater proportion of activated fibroblasts that secrete inflammatory cytokines, which correlates with reprogramming efficiency. We experimentally validate that activated fibroblasts express inflammatory cytokines in vivo and that their presence is linked to enhanced reprogramming efficiency in culture. Conditioned-media swapping experiments show that extrinsic factors secreted by activated fibroblasts are more critical than intrinsic factors for the individual-to-individual variability in reprogramming efficiency, and we identify TNF as a key inflammatory cytokine underlying this variability. Interestingly, old mice also exhibit variability in wound healing efficiency in vivo and old wounds show an increased subpopulation of activated fibroblasts with a unique TNF signature. Our study shows that a switch in fibroblast composition, and the ratio of inflammatory cytokines they secrete, drives variability in reprogramming in vitro and may influence wound healing in vivo. These findings could help identify personalized strategies to improve iPSC generation and wound healing in older individuals.

cell biology↗