Biology subjects

Furuta, M.

Publications and source records attributed to Furuta, M..

4 recordsLinked to original sources

bioRxiv2024

Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans

Identifying host genetic factors modulating immune checkpoint inhibitor (ICI) efficacy has been experimentally challenging because of variations in both host and tumor genomes, differences in the microbiome, and patient life exposures. Utilizing the Collaborative Cross (CC) multi-parent mouse genetic resource population, we developed an approach that fixes the tumor genomic configuration while varying host genetics. With this approach, we discovered that response to anti-PD-1 (aPD1) immunotherapy was significantly heritable in four distinct murine tumor models (H2 between 0.18-0.40). For the MC38 colorectal carcinoma system (H2 = 0.40), we mapped four significant ICI response quantitative trait loci (QTL) localized to mouse chromosomes (mChr) 5, 9, 15 and 17, and identified significant epistatic interactions between specific QTL pairs. Differentially expressed genes within these QTL were highly enriched for immune genes and pathways mediating allograft rejection and graft vs host disease. Using a cross species analytical approach, we found a core network of 48 genes within the four QTLs that showed significant prognostic value for overall survival in aPD1 treated human cohorts that outperformed all other existing validated immunotherapy biomarkers, especially in human tumors of the previously defined immune subtype 4. Functional blockade of two top candidate immune targets within the 48 gene network, GM-CSF and high affinity IL-2/IL-15 signaling, completely abrogated the MC38 tumor transcriptional response to aPD1 therapy in vivo. Thus, we have established a powerful cross species in vivo platform capable of uncovering host genetic factors that establish the tumor immune microenvironment configuration propitious for ICI response.

cancer biology↗

bioRxiv2022

Neuromorphic Model of Hippocampus Place cells using an Oscillatory Interference Technique for Hardware Implementation

In this paper, we propose a simplified and robust model for Place cell generation based on the Oscillatory Interference (OI) model concept. Aiming toward hardware implementation in bio-inspired Simultaneous Localization and Mapping (SLAM) systems for mobile robotics, we base our model on logic operations that reduce its computational complexity. The model compensates for parameter variations in the behaviors of the population of constituent Theta cells, and allows the Theta cells to have square-wave oscillation profiles. The robustness of the model, with respect to mismatch in the Theta cells base oscillation frequency and gain--as a function of modulatory inputs--is demonstrated. Place cell composed of 48 Theta cells with base frequency variations with a 25% standard deviation from the mean and a gain error with 20% standard deviation from the mean only result in a 20% deformations within the place field and 0.24% outer side lobes, and an overall pattern with 0.0015 mean squared error on average. We also present how the model can be used to achieve the localization and path-tracking functionalities of SLAM.

neuroscience↗

bioRxiv2020

Heritable endogenization of an RNA virus in a mammalian species

Viruses are considered one of the driving forces for genome rearrangements via infection and endogenization into the host genome (Kazazian, 2004; Maksakova et al., 2006). In 2010, Horie and colleagues demonstrated that a non-retroviral RNA virus, Borna disease virus (BDV), could integrate into the genome in cultured somatic cells (Horie et al., 2010). However, germline transmission of viral-derived sequences using animal models is yet to be experimentally demonstrated. In this study, we reported a case of heritable endogenization using the encephalomyocarditis virus (EMCV) and laboratory mice. The EMCV is a small non-enveloped single-strand RNA virus without its own reverse transcriptase activity (Carocci et al., 2012). Here, we demonstrated that the EMCV genomic RNA was reverse transcribed into DNA fragments in the murine testes. The DNA sequence originated from the RNA genome of EMCV was also detected in the liver and earlobes of the offspring generated from the EMCV-infected father. This suggests that the exogenous sequence derived from the EMCV is transmitted into the host germline and inherited across subsequent generations. This first experimental demonstration of viral endogenization proposes reconsideration about the impact of viruses as a driving force for genome modification.

genetics↗

bioRxiv2019

Differences in splicing defects between the grey and white matter in myotonic dystrophy type 1

Myotonic dystrophy type 1 (DM1) is a multi-system disorder caused by CTG repeats in the myotonic dystrophy protein kinase (DMPK) gene. This leads to sequestration of the splicing factor, muscleblind-like 2 (MBNL2), and aberrant splicing, mainly in the central nervous system. We investigated the splicing patterns of MBNL1/2 and genes controlled by MBNL2 in several regions of the brain and between the grey matter (GM) and white matter (WM) in DM1 patients using RT-PCR. Compared with the control, the percentage of spliced-in parameter (PSI) for most of the examined exons were significantly altered in most of the brain regions of DM1 patients, except for the cerebellum. The splicing of many genes was differently regulated between the GM and WM in both DM1 and control. The level of change in PSI between DM1 and control was higher in the GM than in the WM. The differences in alternative splicing between the GM and WM may be related to the effect of DM1 on the WM of the brain. We hypothesize that in DM1, aberrantly spliced isoforms in the neuronal cell body of the GM may not be transported to the axon. This might affect the WM as a consequence of Wallerian degeneration secondary to cell body damage. Our findings may have implications for analysis of the pathological mechanisms and exploring potential therapeutic targets.

molecular biology↗