Biology subjects

Kirita, Y.

Publications and source records attributed to Kirita, Y..

10 recordsLinked to original sources

bioRxiv2024

Epigenetic reprogramming driving successful and failed repair in acute kidney injury

Acute kidney injury (AKI) causes epithelial damage followed by subsequent repair. While successful repair restores kidney function, this process is often incomplete and can lead to chronic kidney disease (CKD) in a process called failed repair. To better understand the epigenetic reprogramming driving this AKI-to-CKD transition we generated a single nucleus multiomic atlas for the full mouse AKI time course, consisting of [~]280,000 single nucleus transcriptomes and epigenomes. We reveal cell-specific dynamic alterations in gene regulatory landscapes reflecting especially activation of proinflammatory pathways. We further generated single nucleus multiomic data from four human AKI samples including validation by genome-wide identification of NF-kB binding sites. A regularized regression analysis identifies key regulators involved in both successful and failed repair cell fate, identifying the transcription factor CREB5 as a regulator of both successful and failed tubular repair that also drives proximal tubule cell proliferation after injury. Our interspecies multiomic approach provides a foundation to comprehensively understand cell states in AKI.

genomics↗

bioRxiv2023

Fibroblast Nrf2 inhibits profibrotic transcription with Ddx54 and mitigates pathological fibrosis in the mouse heart and kidney

BackgroundTissue fibrosis is a common feature of many organ dysfunctions, such as heart failure and chronic kidney disease. However, no fundamental treatment has been developed. This study aims to identify novel molecular mechanisms for antifibrotic intervention, focusing on fibroblast activation. MethodsWe performed a forward genetic screen using a genome-wide CRISPR library in the context of transforming growth factor {beta} (TGF-{beta})-mediated connective tissue growth factor (CTGF) expression, and used unbiased techniques such as Cleavage Under Targets and Tagmentation (CUT&Tag) and proximity-dependent biotin labeling by TurboID to reveal the detailed molecular mechanisms. ResultsCRISPR library screening identified a number of players in both the canonical Smad pathway and the non-canonical pathway. In addition to the known factors, the Keap1-Nrf2 pathway was identified as a predominant regulator of TGF-{beta}-mediated CTGF expression. Keap1 deletion and consequent Nrf2 activation broadly suppressed profibrotic gene expression, independently of conventional antioxidant effects. CUT&Tag revealed that Nrf2 bound to the proximity of fibrosis-related genes including Ctgf and Fn1. Subsequent individual analysis revealed Smad3 and RNA polymerase II binding to the Nrf2 peak site, which was attenuated by Keap1 deletion. TurboID experiments further discovered that Nrf2 interacts with Ddx54, which acts as a corepressor. Consistently, Keap1 deletion-mediated repression of profibrotic gene expression was reversed by additional Ddx54 deletion. The impact of the Keap1-Nrf2 pathway on pathological fibrosis was examined using tamoxifen-inducible fibroblast-specific Keap1 knockout mice. Pressure overload for 4 weeks robustly induced cardiac hypertrophy, fibrosis and contractile dysfunction. However, deletion of Keap1 in the Postn lineage attenuated these cardiac pathologies. The anti-fibrotic effects of Keap1 deletion were also confirmed in renal fibrosis in the unilateral ureteral obstruction (UUO) model. ConclusionsFibroblast Nrf2 transcriptionally represses fibrosis-related genes in cooperation with the corepressor Ddx54. Fibroblast-specific deletion of Keap1 attenuated pathological fibrosis in pressure overload heart failure and renal fibrosis.

cell biology↗

bioRxiv2023

Deep mutational scanning of whole SARS-CoV-2 spike in an inverted infection system

In order to investigate SARS-CoV-2 mutations and their impact on immune evasion and infectivity, we developed a Deep Mutational Scanning (DMS) platform utilizing an inverted infection assay to measure spike expression, ACE2 affinity, and viral infectivity in human cells. Surprisingly, our analysis reveals that spike protein expression, rather than ACE2 affinity, is the primary factor affecting viral infectivity and correlated with SARS-CoV-2 evolution. Notably, within the N-terminal domain (NTD), spike expression and infectivity-enhancing mutations are concentrated in flexible loops. We also observed that Omicron variants BA.1 and BA.2 exhibit immune evasion through receptor binding domain (RBD) mutations, although these mutations reduce structural stability. Interestingly, the NTD has evolved to increase stability, compensating for the RBD instability and resulting in heightened overall infectivity. Our findings, available in SpikeScanDB, emphasize the importance of spike expression levels and compensatory mutations in both the NTD and RBD domains for shaping Omicron variant infectivity.

microbiology↗

bioRxiv2022

Deep mutational scanning to predict antibody escape in SARS-CoV-2 Omicron subvariants

The major concern of COVID-19 therapeutic monoclonal antibodies is the loss of efficacy to continuously emerging SARS-CoV-2 variants. To predict the antibodies efficacy to the future Omicron subvariants, we conducted deep mutational scanning (DMS) encompassing all single mutations in the receptor binding domain of BA.2 strain. In case of bebtelovimab that preserves neutralization activity against BA.2 and BA.5, broad range of amino acid substitutions at K444, V445 and G446 and some substitutions at P499 and T500 were indicated to achieve the antibody escape. Among currently increasing subvariants, BA2.75 carrying G446S partly and XBB with V445P and BQ.1 with K444T completely evade the neutralization of bebtelovimab, consistent with the DMS results. DMS can comprehensively characterize the antibody escape for efficient and effective management of future variants.

microbiology↗

bioRxiv2022

Liver lipophagy ameliorates nonalcoholic steatohepatitis through lysosomal lipid exocytosis

Nonalcoholic steatohepatitis (NASH) is a progressive disorder with aberrant lipid accumulation and subsequent inflammatory and profibrotic response. Therapeutic efforts at lipid reduction via increasing cytoplasmic lipolysis unfortunately worsens hepatitis due to toxicity of liberated fatty acid. An alternative approach could be lipid reduction through autophagic disposal, i.e., lipophagy. We engineered a synthetic adaptor protein to induce lipophagy, combining a lipid droplet-targeting signal with optimized LC3-interacting domain. Activating hepatocyte lipophagy in vivo strongly mitigated both steatosis and hepatitis in a diet-induced mouse NASH model. Mechanistically, activated lipophagy promoted the excretion of lipid from hepatocytes via lysosomal exocytosis, thereby suppressing harmful intracellular accumulation of nonesterified fatty acid. A high-content compound screen identified alpelisib and digoxin, clinically-approved compounds, as effective activators of lipophagy. Administration of alpelisib or digoxin in vivo strongly inhibited the transition to steatohepatitis. These data thus identify lipophagy as a promising therapeutic approach to prevent NASH progression.

cell biology↗

bioRxiv2021

Engineered ACE2 counteracts vaccine-evading SARS-CoV-2 Omicron variant

The novel SARS-CoV-2 variant, Omicron (B.1.1.529) contains an unusually high number of mutations (>30) in the spike protein, raising concerns of escape from vaccines, convalescent sera and therapeutic drugs. Here we analyze the alteration of neutralizing titer with Omicron pseudovirus. Sera obtained 3 months after double BNT162b2 vaccination exhibit approximately 18-fold lower neutralization titers against Omicron than parental virus. Convalescent sera from Alpha and Delta patients allow similar levels of breakthrough by Omicron. Domain-wise analysis using chimeric spike revealed that this efficient evasion was primarily achieved by mutations clustered in the receptor-binding domain, but that multiple mutations in the N-terminal domain contributed as well. Omicron escapes a therapeutic cocktail of imdevimab and casirivimab, whereas sotrovimab, which targets a conserved region to avoid viral mutation, remains effective. The ACE2 decoy is another virus-neutralizing drug modality that is free, at least in theory, from complete escape. Deep mutational analysis demonstrated that, indeed, engineered ACE2 prevented escape for each single-residue mutation in the receptor-binding domain, similar to immunized sera. Engineered ACE2 neutralized Omicron comparable to Wuhan and also showed a therapeutic effect against Omicron infection in hamsters and human ACE2 transgenic mice. Like previous SARS-CoV-2 variants, some sarbecoviruses showed high sensitivity against engineered ACE2, confirming the therapeutic value against diverse variants, including those that are yet to emerge. One Sentence SummaryOmicron, carrying [~]30 mutations in the spike, exhibits effective immune evasion but remains highly susceptible to blockade by engineered ACE2.

microbiology↗

bioRxiv2020

High affinity modified ACE2 receptors prevent SARS-CoV-2 infection

The SARS-CoV-2 spike protein binds to the human angiotensin-converting enzyme 2 (ACE2) receptor via receptor binding domain (RBD) to enter into the cell and inhibiting this interaction is a main approach to inhibit SARS-CoV-2 infection. We engineered ACE2 to enhance the affinity with directed evolution in 293T cells. Three cycles of random mutation and cell sorting achieved 100-fold higher affinity to RBD than wild-type ACE2. The extracellular domain of modified ACE2 fused to the human IgG1-Fc region had stable structure and neutralized SARS-CoV-2 without the emergence of mutational escape. Therapeutic administration protected hamsters from SARS-CoV-2 infection, decreasing lung virus titers and pathology. Engineering ACE2 decoy receptors with human cell-based directed evolution is a promising approach to develop a SARS-CoV-2 neutralizing drug that has affinity comparable to monoclonal antibodies yet displaying resistance to escape mutations of virus. One Sentence SummaryEngineered ACE2 decoy receptor has a therapeutic potential against COVID-19 without viral escape mutation.

bioengineering↗

bioRxiv2020

Cell profiling of mouse acute kidney injury reveals conserved cellular responses to injury

After acute kidney injury (AKI), patients either recover or alternatively develop fibrosis and chronic kidney disease. Interactions between injured epithelia, stroma and inflammatory cells determine whether kidneys repair or undergo fibrosis, but the molecular events that drive these processes are poorly understood. Here, we use single nucleus RNA sequencing of a mouse model of AKI to characterize cell states during repair from acute injury. We identify a distinct proinflammatory and profibrotic proximal tubule cell state that fails to repair. Deconvolution of bulk RNA-seq datasets indicates that this "failed-repair proximal tubule cell" or FR-PTC, state can be detected in other models of kidney injury, increasing in the aging rat kidney and over time in human kidney allografts. We also describe dynamic intercellular communication networks and discern transcriptional pathways driving successful vs. failed repair. Our study provides a detailed description of cellular responses after injury and suggests that the FR-PTC state may represent a therapeutic target to improve repair. Significance StatementSingle nucleus RNA sequencing revealed gene expression changes during repair after acute kidney injury. We describe a small population of proximal tubule cells that fail to repair (FR-PTC). Since this subpopulation expresses abundant pro-inflammatory and profibrotic genes, it may represent a new therapeutic target to improve repair and reduce fibrosis after AKI.

genomics↗

bioRxiv2019

The Single Cell Transcriptomic Landscape of Early Human Diabetic Nephropathy

Diabetic nephropathy is characterized by damage to both the glomerulus and tubulointerstitium, but relatively little is known about accompanying cell-specific changes in gene expression. We performed unbiased single nucleus RNA sequencing (snRNAseq) on cryopreserved human diabetic kidney samples to generate 23,980 single nucleus transcriptomes from three control and three early diabetic nephropathy samples. All major cell types of the kidney were represented in the final dataset. Side by side comparison demonstrated cell-type-specific changes in gene expression that are important for ion transport, angiogenesis, and immune cell activation. In particular, we show that the diabetic loop of Henle, late distal convoluted tubule, and principal cells all adopt a gene expression signature consistent with increased potassium secretion, including alterations in Na-K+-ATPase, WNK1, mineralocorticoid receptor and NEDD4L expression, as well as decreased paracellular calcium and magnesium reabsorption. We also identify strong angiogenic signatures in glomerular cell types, proximal convoluted tubule, distal convoluted tubule and principal cells. Taken together, these results suggest that increased potassium secretion and angiogenic signaling represent early kidney responses in human diabetic nephropathy.\n\nSignificance StatementSingle nucleus RNA sequencing revealed gene expression changes in early diabetic nephropathy that promote urinary potassium secretion and decreased calcium and magnesium reabsorption. Multiple cell types exhibited angiogenic signatures, which may represent early signs of aberrant angiogenesis. These alterations may help to identify biomarkers for disease progression or signaling pathways amenable to early intervention.\n\nO_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

genomics↗

bioRxiv2017

Comparative analysis of kidney organoid and adult human kidney single cell and single nucleus transcriptomes

Kidney organoids differentiated from human pluripotent stem cells hold great promise for understanding organogenesis, modeling disease and ultimately as a source of replacement tissue. Realizing the full potential of this technology will require better differentiation strategies based upon knowledge of the cellular diversity and differentiation state of all cells within these organoids. Here we analyze single cell gene expression in 45,227 cells isolated from 23 organoids differentiated using two different protocols. Both generate kidney organoids that contain a diverse range of kidney cells at differing ratios as well as non-renal cell types. We quantified the differentiation state of major organoid kidney cell types by comparing them against a 4,259 single nucleus RNA-seq dataset generated from adult human kidney, revealing immaturity of all kidney organoid cell types. We reconstructed lineage relationships during organoid differentiation through pseudotemporal ordering, and identified transcription factor networks associated with fate decisions. These results define impressive kidney organoid cell diversity, identify incomplete differentiation as a major roadblock for current directed differentiation protocols and provide a human adult kidney snRNA-seq dataset against which to benchmark future progress.

developmental biology↗