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Ichida, J.

Publications and source records attributed to Ichida, J..

10 recordsLinked to original sources

Deconvolution of polygenic risk score in single cells unravels cellular and molecular heterogeneity of complex human diseases

Polygenic risk scores (PRSs) are commonly used for predicting an individuals genetic risk of complex diseases. Yet, their implication for disease pathogenesis remains largely limited. Here, we introduce scPRS, a geometric deep learning model that constructs single-cell-resolved PRS leveraging reference single-cell chromatin accessibility profiling data to enhance biological discovery as well as disease prediction. Real-world applications across multiple complex diseases, including type 2 diabetes (T2D), hypertrophic cardiomyopathy (HCM), and Alzheimers disease (AD), showcase the superior prediction power of scPRS compared to traditional PRS methods. Importantly, scPRS not only predicts disease risk but also uncovers disease-relevant cells, such as hormone-high alpha and beta cells for T2D, cardiomyocytes and pericytes for HCM, and astrocytes, microglia and oligodendrocyte progenitor cells for AD. Facilitated by a layered multi-omic analysis, scPRS further identifies cell-type-specific genetic underpinnings, linking disease-associated genetic variants to gene regulation within corresponding cell types. We substantiate the disease relevance of scPRS-prioritized HCM genes and demonstrate that the suppression of these genes in HCM cardiomyocytes is rescued by Mavacamten treatment. Additionally, we establish a novel microglia-specific regulatory relationship between the AD risk variant rs7922621 and its target genes ANXA11 and TSPAN14. We further illustrate the detrimental effects of suppressing these two genes on microglia phagocytosis. Our work provides a multi-tasking, interpretable framework for precise disease prediction and systematic investigation of the genetic, cellular, and molecular basis of complex diseases, laying the methodological foundation for single-cell genetics.

genetics↗

An ALS Therapeutic Assembly Modulator Target in Peripheral Blood Mononuclear Cells: Implications for ALS Pathophysiology, Therapeutics, and Diagnostics

Assembly modulators are a new class of allosteric site-targeted therapeutic small molecules, some of which are effective at restoring nuclear localization of TDP-43 in ALS cellular models, and which display efficacy in a variety of ALS animal models. These compounds have been shown to bind selectively to a small subset of protein disulfide isomerase (PDI), a protein implicated in ALS pathophysiology. The targeted subset of PDI is found within a novel, transient and energy-dependent multi-protein complex that includes other important members of the ALS interactome, such as TDP-43, RanGTPase, and selective autophagy receptor p62/SQSTM1. We demonstrate here that a similar multi-protein complex drug target is present in PBMCs as isolated by energy-dependent drug resin affinity chromatography (eDRAC) and characterized by mass spectrometry and by Western blot (WB). Signature alterations in the composition of the multi-protein complex in PBMCs from ALS patients compared to PBMCs from healthy individuals were identified by WB of eDRAC bound proteins, thereby extending earlier literature suggesting PBMC dysfunction in ALS. Changes in the PBMC drug target in ALS patients compared to healthy individuals include diminished p62/SQSTM1 and appearance of a 17kDa post-translationally modified form of RanGTPase. These changes are not readily apparent from analysis of whole cell extracts, as the individual protein components within the drug target multi-protein complex comprise only small percentages of the total of those component proteins in the extract. Furthermore, whole blood from ALS patients shows a distinctive degradation of total RanGTPase not observed in blood from healthy individuals. This degradation appears to be rescued by treatment of whole blood from ALS patients for 72 hrs with ALS-active assembly modulator small molecules. Our findings are consistent with the hypothesis that ALS is fundamentally a disorder of homeostasis that can be detected early, prior to disability, in blood by the methods described, and restored to the healthy state by assembly modulator drug treatment.

physiology↗

Protein Assembly Modulation: A New Approach to ALS Therapeutics

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease with a complex, multifactorial pathophysiology, most commonly manifest as loss of motor neurons. We introduce a new mechanism of ALS pathogenesis via a novel drug-like small molecule series that targets protein disulfide isomerase (PDI) within a previously unappreciated transient and energy-dependent multi-protein complex. This novel drug was found to have activity in cellular models for both familial and sporadic ALS, as well as in transgenic worms, flies, and mice bearing a diversity of human genes with ALS-associated mutations. These compounds were initially identified as modulators of human immunodeficiency virus (HIV) capsid assembly in cell-free protein synthesis and assembly (CFPSA) systems, with demonstrated antiviral activity in cell culture. Their advancement as ALS-therapeutics, and the subsequent separation of activity against HIV and ALS in chemical subseries through structure-activity-relationship optimization, may provide insights into the molecular mechanisms governing pathophysiology of disordered homeostasis relevant to ALS.

neuroscience↗

CLIP-Seq Analysis Enables the Design of Ribosomal RNA Bait Oligonucleotides That Protect Against C9orf72 ALS/FTD-Associated Poly-GR Pathophysiology

Amyotrophic lateral sclerosis and frontotemporal dementia patients with a hexanucleotide repeat expansion in C9ORF72 (C9-HRE) accumulate poly-GR and poly-PR aggregates. The pathogenicity of these arginine-rich dipeptide repeats (R-DPRs) is thought to be driven by their propensity to bind to low complexity domains of multivalent proteins. However, the ability of R-DPRs to bind native RNA and the significance of this interaction remains unclear. We used computational and experimental approaches to characterize the physicochemical properties of R-DPRs and their interaction with RNA. We find that poly-GR predominantly binds ribosomal RNA (rRNA) in cells and exhibits an interaction that is predicted to be energetically stronger than that for associated ribosomal proteins. Critically, modified rRNA "bait" oligonucleotides restore poly-GR-associated ribosomal deficits in cells and ameliorate poly-GR toxicity in patient neurons and Drosophila models. Our work strengthens the hypothesis that ribosomal function is impaired by R-DPRs, highlights a role for direct rRNA binding in mediating ribosomal disfunction, and presents a strategy for protecting against C9-HRE pathophysiological mechanisms.

neuroscience↗

Machine-learning algorithm for identifying and predicting amyotrophic lateral sclerosis causal mutations

We propose a machine learning (ML) method to classify ALS-causative and non-ALS-causative variants based on 24 variables in five different datasets. The proposed ML method classifies the five datasets with very high accuracy. In particular, it predicts the ALS variants with 100 percent accuracy, while its accuracy for the non-ALS variants is up to 99.31 percent. The trained classifier also identifies the nine most influencial mutation assessors that help distinguishing the two classes from each other. They are FATHMM_score, PROVEAN_score, Vest3_score, CADD_phred, DANN_score, meta-SVM_score, phyloP7way_vertebrate, metaLR, and REVEL. Thus, they may be used in future studies in order to reduce the time and cost of collecting data and carrying out experimental tests, as well as in studies with more focus on the recognized assessors.

bioinformatics↗

A CRISPRi/a platform in iPSC-derived microglia uncovers regulators of disease states

Microglia are emerging as key drivers of neurological diseases. However, we lack a systematic understanding of the underlying mechanisms. Here, we present a screening platform to systematically elucidate functional consequences of genetic perturbations in human iPSC-derived microglia. We developed an efficient eight-day protocol for the generation of microglia-like cells based on the inducible expression of six transcription factors. We established inducible CRISPR interference and activation in this system and conducted three screens targeting the "druggable genome". These screens uncovered genes controlling microglia survival, activation and phagocytosis, including neurodegeneration-associated genes. A screen with single-cell RNA sequencing as the readout revealed that these microglia adopt a spectrum of states mirroring those observed in human brains and identified regulators of these states. A disease-associated state characterized by SPP1 expression was selectively depleted by CSF1R inhibition. Thus, our platform can systematically uncover regulators of microglia states, enabling their functional characterization and therapeutic targeting.

neuroscience↗

Glutamatergic dysfunction precedes neuron loss in cerebral organoids with MAPT mutation.

Frontotemporal dementia (FTD) due to MAPT mutation causes pathological accumulation of tau and glutamatergic cortical neuronal death by unknown mechanisms. We used human induced pluripotent stem cell (iPSC)-derived cerebral organoids expressing tau-V337M and isogenic corrected controls to discover early alterations due to the mutation that precede neurodegeneration. At 2 months, mutant organoids show upregulated expression of MAPT, and glutamatergic signaling pathways and regulators including the RNA-binding protein ELAVL4. Over the following 4 months, mutant organoids accumulate splicing changes, disruption of autophagy function and build-up of tau and P-tau S396. By 6 months, tau-V337M organoids show specific loss of glutamatergic neurons of layers affected in patients. Mutant neurons are susceptible to glutamate toxicity which was rescued pharmacologically by treatment with the PIKFYVE kinase inhibitor apilimod. Our results demonstrate a sequence of events that precede cell death, revealing molecular pathways associated with glutamate signaling as potential targets for therapeutic intervention in FTD.

neuroscience↗

A model of traumatic brain injury using human iPSC-derived cortical brain organoids

Traumatic brain injury confers a significant and growing public health burden and represents a major environmental risk factor for dementia. Previous efforts to model traumatic brain injury and elucidate pathologic mechanisms have been hindered by complex interactions between multiple cell types, biophysical, and degenerative properties of the human brain. Here, we use high-intensity focused ultrasound to induce mechanical injury in 3D human pluripotent stem cell-derived cortical organoids to mimic traumatic brain injury in vitro. Our results show that mechanically injured organoids recapitulate key hallmarks of traumatic brain injury, phosphorylation of tau and TDP-43, neurodegeneration, and transcriptional programs indicative of energy deficits. We present high-intensity focused ultrasound as a novel, reproducible model of traumatic brain injury in cortical organoids with potential for scalable and temporally-defined mechanistic studies.

neuroscience↗

Single Cell Transcriptomics-guided Antisense Treatment Improves Endoderm Differentiation of iPSCs

Directed differentiation of induced pluripotent stem cells (iPSCs) enables the production of relevant cell types for studies of human biology, disease-modeling, and efforts towards cellular therapy and transplantation. However, the low yield and purity of desired cell types can limit the utility of this approach. Enhancing differentiation purity can require extensive optimization of morphogen treatments, and this can still be ineffective for iPSC lines with biased or aberrant differentiation propensities. To address these limitations, we have developed a new approach for increasing the purity of iPSC directed differentiation cultures called RNA sequencing and Antisense-assisted Differentiation (RAD). We performed trajectory analysis of single cell RNA sequencing during iPSC differentiation into endoderm to identify transcription factors responsible for committing cells to undesired, non-endodermal fates. Specific suppression of these transcription factors using antisense oligonucleotides (ASOs) increased the percentage of endodermal cells by up to 20-fold in 3 different iPSC lines that exhibited poor endoderm differentiation. Moreover, this approach required minimal culture manipulation. Thus, RAD improves the utility of iPSCs for basic and translational studies.

cell biology↗

Small molecule inhibition of PIKFYVE kinase rescues gain- and loss-of-function C9ORF72 ALS/FTD disease processes in vivo

The most common known cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) is a hexanucleotide repeat expansion (HRE) in C9ORF72 that contributes to neurodegeneration by both loss-of-function (decreased C9ORF72 protein levels) and gain-of-function (e.g. dipeptide repeat protein production) mechanisms. Although therapeutics targeting the gain-of-function mechanisms are in clinical development, it is unclear if these will be efficacious given the contribution of C9ORF72 loss-of-function processes to neurodegeneration. Moreover, there is a lack of therapeutic strategies for C9ORF72 ALS/FTD with demonstrated efficacy in vivo. Here, we show that small molecule inhibition of PIKFYVE kinase rescues both loss- and gain-of-function C9ORF72 disease mechanisms in vivo. We find that the reduction of C9ORF72 in mouse motor neurons leads to a decrease in early endosomes. In contrast, treatment with the PIKFYVE inhibitor apilimod increases the number of endosomes and lysosomes. We show that reduced C9ORF72 levels increases glutamate receptor levels in hippocampal neurons in mice, and that apilimod treatment rescues this excitotoxicity-related phenotype in vivo. Finally, we show that apilimod also alleviates the gain-of-function pathology induced by the C9ORF72 HRE by decreasing levels of dipeptide repeat proteins derived from both sense and antisense C9ORF72 transcripts in hippocampal neurons in vivo. Our data demonstrate the neuroprotective effect of PIKFYVE kinase inhibition in both gain- and loss-of-function murine models of C9ORF72 ALS/FTD.

neuroscience↗