Biology subjects

Kuo, T.

Publications and source records attributed to Kuo, T..

16 recordsLinked to original sources

bioRxiv2026

Heterochromatin protein 1α acts as an essential stabilizer of chromatin packing domains

Background: The spatial organization of the human genome emerges from an enzyme-guided self-assembly process in which chromatin has a bidirectional relationship with transcription. Central to this architecture are chromatin packing domains, 50-200 nm structures exhibiting mass-scaling behavior. Nascent domains arise through transcription and cohesin/CTCF-mediated loop extrusion, while their maturation depends on conditions that permit differential access of epigenetic enzymes to their dense cores and continuously lower density periphery, resulting in the accumulation of heterochromatic marks in domain cores and euchromatic marks outside of the domain cores. In turn, packing domains support transcription by creating an "ideal zone" peripherally to their cores due to a nonmonotonic dependence of transcription rate on local chromatin density. Results: We investigated the role of heterochromatin protein 1 alpha (HP1), a key chromatin crosslinking factor with affinity to H3K9me3 marks, in maintaining packing domain organization. Paradoxically, short-term HP1 degradation resulted in overall downregulation of genes, contrasting with the canonical view that repression of heterochromatin allows chromatin to become more accessible for transcription. While some packing domains persisted, heterochromatic cores of dense packing domains were disrupted. When exposed to hypoxia, HP1-depleted cells exhibited a dampened transcriptional response, showcasing that when domain maturation is disrupted, stress response pathways are not effectively activated. Conclusions: This work highlights HP1 crosslinking as an essential component of domain maturation, as HP1 loss disrupts domain geometry and inhibits efficient transcriptional reprogramming. Our findings suggest an intriguing perspective on the potential relationship between chromatin architecture and gene regulation that could inform chromatin engineering-based treatments.

genomics↗

bioRxiv2025

Foundation Model Attributions Reveal Shared Inflammatory Program Across Diseases

Determining a genes functional significance within a cellular context has long been a challenge, as absolute expression level is an unreliable indicator. We introduce SIGnature, a framework for scoring gene importance by leveraging attributions derived from single-cell RNA-sequencing (scRNA-seq) foundation models. Attribution scores reduce technical noise, emphasize regulatory genes, and facilitate cross-dataset comparison - a core challenge for scRNA-seq analyses. We developed the SIGnature package as a tool for generating and querying attributions, enabling rapid gene set searches across massive scRNA-seq atlases. We demonstrated its utility using the MS1 monocyte signature, a poorly understood gene program activated in severe COVID-19 and sepsis. Searching 400 studies revealed novel associations between the MS1 signature and multiple hyperinflammatory conditions, including Kawasaki disease. Experimental validation confirmed Kawasaki disease patient serum induces the MS1 phenotype. These findings highlight that SIGnature can uncover shared mechanisms across conditions, demonstrating its power for large-scale signature scoring and cross-disease analysis.

bioinformatics↗

bioRxiv2024

Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states

Single-cell RNA-seq (scRNA-seq) has become a prominent tool for studying human biology and disease. The availability of massive scRNA-seq datasets and advanced machine learning techniques has recently driven the development of single-cell foundation models that provide informative and versatile cell representations based on expression profiles. However, to understand disease states, we need to consider entire tissue ecosystems, simultaneously considering many different interacting cells. Here, we tackle this challenge by generating patient-level representations derived from multi-cellular expression context measured with scRNA-seq of tissues. We develop PaSCient, a novel model that employs a multi-level representation learning paradigm and provides importance scores at the individual cell and gene levels for fine-grained analysis across multiple cell types and gene programs characteristic of a given disease. We apply PaSCient to learn a disease model across a large-scale scRNA-seq atlas of 24.3 million cells from over 5,000 patients. Comprehensive and rigorous benchmarking demonstrates the superiority of PaSCient in disease classification and its multiple downstream applications, including dimensionality reduction, gene/cell type prioritization, and patient subgroup discovery.

bioinformatics↗

bioRxiv2024

mRNA expression is co-regulated by non-nucleolar RNA polymerase I

The relationship between gene transcription and chromatin organization is an area of active study. Due to its role in mRNA synthesis, many studies have focused on the regulaton of RNA polymerase II (Pol-II) function by supranucleosomal structure and vice-versa. In contrast, there is little work on the function of RNA polymerase I (Pol-I) in non-nucleolar chromatin. Prior work has shown that Pol-I engages with components of Pol-II on rDNA, but its role in global transcription and chromatin structure beyond the nucleolus has largely been ignored. By pairing auxin-inducible degron technology with nanoscopic imaging, RNA-Seq, and Hi-C, we found that Pol-I and Pol-II co-regulate conformationally defined chromatin domains and mRNA synthesis. Mechanistically, Pol-I maintains the positioning of intronic and intergenic chromatin within domains for the proper expression of exon elements. Consequently, Pol-I loss disrupts genome connectivity, in situ chromatin domains, and the expression of mRNA, genome-wide.

genomics↗

bioRxiv2024

Formamide denaturation of double-stranded DNA for fluorescence in situ hybridization (FISH) distorts nanoscale chromatin structure

As imaging techniques rapidly evolve to probe nanoscale genome organization at higher resolution, it is critical to consider how the reagents and procedures involved in sample preparation affect chromatin at the relevant length scales. Here, we investigate the effects of fluorescent labeling of DNA sequences within chromatin using the gold standard technique of three-dimensional fluorescence in situ hybridization (3D FISH). The chemical reagents involved in the 3D FISH protocol, specifically formamide, cause significant alterations to the sub-200 nm (sub-Mbp) chromatin structure. Alternatively, two labeling methods that do not rely on formamide denaturation, resolution after single-strand exonuclease resection (RASER)-FISH and clustered regularly interspaced short palindromic repeats (CRISPR)-Sirius, had minimal impact on the three-dimensional organization of chromatin. We present a polymer physics-based analysis of these protocols with guidelines for their interpretation when assessing chromatin structure using currently available techniques.

biophysics↗

bioRxiv2024

Chromatin packing domains persist after RAD21 depletion in 3D.

Understanding chromatin organization requires integrating measurements of genome connectivity and physical structure. Prior work demonstrates that RAD21 depletion results in the complete loss of topologically associated and loop domains on Hi-C, but the corresponding change in physical structure has not been studied using electron microscopy. Pairing chromatin scanning transmission electron tomography with Hi-C, we study the role of cohesin in regulating the spatially resolved, conformationally defined chromatin packing domains. We find that only 20% of packing domains are lost on electron microscopy upon RAD21 depletion with the effect primarily on small, poorly packed (nascent) domains. Overall, this contrasts with the prevailing understanding of genome regulation, indicating that while cohesin influences domain formation, non-cohesin mediated mechanisms predominantly regulate the 3D genomic physical structure.

genomics↗

bioRxiv2022

Cyb5r3-based mechanism and reversal of secondary failure to sulfonylurea

Sulfonylureas (SU) are effective and affordable anti-diabetic drugs. But chronic use leads to secondary failure, limiting their utilization. The mechanism of secondary failure is unknown. Here we identify Cyb5r3 downregulation as a mechanism of SU failure and successfully reverse it. Chronic exposure to SU impairs Cyb5r3 levels and reduces islet glucose utilization with a metabolomics signature characterized by low acetyl-CoA and amino acid levels. Cyb5r3 engages in a glucose-dependent interaction that stabilizes glucokinase (Gck) to maintain glucose utilization. Accordingly, activating Gck mutations in patients with hyperinsulinemia reduce Cyb5r3 binding, whereas inactivating MODY mutations increase it, providing evidence for a role of Cyb5r3 in determining flux through Gck. The Cyb5r3 activator tetrahydroindenoindole (THII) rescues secondary failure to SU in an animal model of chronic SU treatment and restores insulin secretion from ex vivo islets. We conclude that Cyb5r3 loss-of-function is a key factor in the secondary failure to SU and a potential target for its prevention, which may lead to a rehabilitation of SU use in diabetes.

physiology↗

bioRxiv2022

Triple Notch/Tgfβ/FoxO1 blockade converts multiple intestinal sub-lineages into β-like cells and lowers glycemia in diabetic animals

Insulin is the essential treatment of Type 1 (T1D) and is often used in Type 2 Diabetes. For nearly five decades, efforts have been focused on replenishing {beta}-cells in T1D patients as a more durable treatment. Gut endocrine cells can be converted into insulin-producing cells, but their numbers are limited. In this study we report that insulin-immunoreactive cells with Paneth/goblet cell features are present in human fetal intestine, in addition to enteroendocrine cells. Accordingly, lineage tracing experiments show that, besides enterochromaffin cells, the Paneth/goblet lineage can undergo conversion to the insulin lineage upon genetic or pharmacologic Foxo1 ablation in mice. We leveraged these data to design a screening platform in organoids to accurately quantitate {beta}-like cell reprogramming and fine-tune a combination treatment to increase the efficiency of the conversion process by expanding the intestinal secretory lineage. We identified a triple blockade of FoxO1, Notch, and Tgf{beta} that, when tested in insulin-deficient diabetic animals resulted in a near-normalization of glucose levels, associated with the appearance of gut insulin-producing cells. The findings illustrate a therapeutic approach to replace insulin treatment in diabetes.

cell biology↗

bioRxiv2022

Derlin Dfm1 Employs a Chaperone Function to Resolve Misfolded Membrane Protein Stress

Accumulation of misfolded proteins is a known source of cellular stress and can be detrimental to cellular health. While protein aggregation is a known hallmark of many diseases, the mechanisms by which protein aggregates cause toxicity and the molecular machines that prevent this toxicity are not completely understood. Here, we show that the accumulated misfolded membrane proteins form endoplasmic reticulum (ER) localized aggregates, impacting ubiquitin and proteasome homeostasis. Additionally, we have identified a chaperone ability of the yeast rhomboid pseudoprotease Dfm1 to influence solubilization of misfolded membrane proteins and prevent toxicity from misfolded membrane proteins. We establish that this function of Dfm1 does not require recruitment of the ATPase Cdc48 and it is distinct from Dfm1s previously identified function in dislocating misfolded membrane proteins to the cytosol for degradation.

cell biology↗

bioRxiv2021

Derlin rhomboid pseudoproteases employ substrate engagement and lipid distortion function for retrotranslocation of ER multi-spanning membrane substrates

Nearly one-third of proteins are initially targeted to the endoplasmic reticulum (ER) membrane where they are correctly folded, assembled, and then delivered to their final cellular destinations. In order to prevent the accumulation of misfolded membrane proteins, ER associated degradation (ERAD) moves these clients from the ER membrane to the cytosol; a process known as retrotranslocation. Our recent work in S. cerevisiae has revealed a derlin rhomboid pseudoprotease, Dfm1, is involved in the retrotranslocation of ubiquitinated ERAD membrane substrates. In this study, we sought to understand the mechanism associated with Dfm1s actions and found that Dfm1s conserved rhomboid residues are critical for membrane protein retrotranslocation. Specifically, we identified several retrotranslocation-deficient Loop 1 mutants that display impaired binding to membrane substrates. Furthermore, Dfm1 has retained the lipid thinning functions of its rhomboid protease predecessors to facilitate in the removal of ER membrane substrates. We find this substrate engagement and lipid thinning feature is conserved in its human homolog, Derlin-1. Utilizing interaction studies and molecular dynamics simulations, this work reveals that derlin rhomboid pseudoproteases employ novel mechanisms of substrate engagement and lipid thinning for catalyzing extraction of multi-spanning membrane substrates.

cell biology↗

bioRxiv2021

An integrative transcriptional logic model of hepatic insulin resistance

Abnormalities of lipid/lipoprotein and glucose metabolism are hallmarks of hepatic insulin resistance in type 2 diabetes. The former antedate the latter, but the latter become progressively refractory to treatment and contribute to therapeutic failures. Its unclear whether the two processes share a common pathogenesis and what underlies their progressive nature. In this study, we investigated the hypothesis that genes in the lipid/lipoprotein pathway and those in the glucose metabolic pathway are governed by different transcriptional logics that affect their response to physiologic (fasting/refeeding) as well as pathophysiologic cues (insulin resistance and hyperglycemia). To this end, we obtained genomic and transcriptomic maps of the key insulin-regulated transcription factor, FoxO1, and integrated them with those of CREB, PPAR, and glucocorticoid receptor. We found an enrichment of glucose metabolic genes among those regulated by intergenic and promoter enhancers in a fasting-dependent manner, while lipid genes were enriched among fasting-dependent intron enhancers and fasting-independent enhancer-less introns. Glucose genes also showed a remarkable transcriptional resiliency, i.e., an enrichment of active marks at shared PPAR/FoxO1 regulatory elements when FoxO1 was inactivated. Surprisingly, the main features associated with insulin resistance and hyperglycemia were a "spreading" of FoxO1 binding to enhancers, and the emergence of target sites unique to this condition. We surmise that this unusual pattern correlates with the progressively intractable nature of hepatic insulin resistance. This transcriptional logic provides an integrated model to interpret the combined lipid and glucose abnormalities of type 2 diabetes. Significance StatementThe liver is a source of excess lipid, atherogenic lipoproteins, and glucose in patients with type 2 diabetes. These factors predispose to micro- and macrovascular complications. The underlying pathophysiology is not well understood, and mechanistic insight into it may provide better tools to prevent, treat, and reverse the disease. Here we propose an alternative explanation for this pathophysiologic conundrum by illustrating a transcriptional "logic" underlying the regulation of different classes of genes. These findings can be interpreted to provide an integrated stepwise model for the coexistence of lipid and glucose abnormalities in hepatic insulin resistance. HighlightsO_LIFoxo1 regulates liver metabolism through active enhancers, and hepatocyte maintenance through core promoters C_LIO_LIFoxo1 regulates glucose genes through fasting-dependent intergenic enhancers C_LIO_LIBipartite intron regulation of lipid genes is partly fasting-independent C_LIO_LIPpar contributes to the transcriptional resiliency of Foxo1 metabolic targets C_LIO_LIInsulin resistance causes de novo recruitment of Foxo1 to active enhancers C_LIO_LIA stepwise model of insulin resistance C_LI

molecular biology↗

bioRxiv2020

Systemic benefits of Gc inhibition to preserve insulin sensitivity

Type 2 diabetes is caused by an imbalanced supply and demand of insulin. Insulin resistance and impaired {beta}-cell function contribute to the onset of hyperglycemia. No single treatment modality can affect both aspects of diabetes pathophysiology. Thus, current treatments focus either on increasing insulin secretion (incretin mimetics, sulfonylureas) or insulin sensitivity (metformin and TZD), or reducing hyperglycemia (insulin, sglt2i). Previously, we reported that ablation of Gc, encoding a secreted protein with a primary role in vitamin D transport, improves pancreatic {beta}-cell function in models of diet-induced insulin resistance. Here, we show that Gc ablation has systemic insulin-sensitizing effects to prevent weight gain, hyperglycemia, glucose intolerance, and lower NEFA and triglyceride in mice fed a high-fat diet. Hyperinsulinemic-euglycemic clamps show that Gc ablation protects insulins ability to reduce hepatic glucose production, and increases glucose uptake in skeletal muscle and adipose tissue. Moreover, acute Gc inhibition by way of adeno-associated virus encoding a short hairpin RNA to promote Gc mRNA degradation, prevents glucose intolerance caused by high fat feeding. The data suggest that Gc inhibition can provide an approach to increase insulin production in {beta}-cells, and insulin action in peripheral tissues. RESEARCH IN CONTEXT{blacksquare} The goal was to find a therapeutic target that can improve insulin sensitivity and {beta}-cell function simultaneously. {blacksquare}Gc ablation preserves {beta}-cell insulin secretion ex vivo and in vivo. {blacksquare}Deletion of Gc prevents weight gain, reduces fat mass, lowers fasting glycemia, improves glucose tolerance, reduces hepatic glucose production after feeding, and increased glucose uptake in muscle and adipose. {blacksquare}Acute Gc inhibition improves glucose tolerance, which suggests that targeting Gc could provide an alternative way to treat type 2 diabetes.

physiology↗

bioRxiv2020

ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw

Whole genome duplication (WGD) events are common in the evolutionary history of many living organisms. For decades, researchers have been trying to understand the genetic and epigenetic impact of WGD and its underlying molecular mechanisms. Particular attention was given to allopolyploid study systems, species resulting from an hybridization event accompanied by WGD. Investigating the mechanisms behind the survival of a newly formed allopolyploid highlighted the key role of DNA methylation. With the improvement of high-throughput methods, such as whole genome bisulfite sequencing (WGBS), an opportunity opened to further understand the role of DNA methylation at a larger scale and higher resolution. However, only a few studies have applied WGBS to allopolyploids, which might be due to lack of genomic resources combined with a burdensome data analysis process. To overcome these problems, we developed the Automated Reproducible Polyploid EpiGenetic GuIdance workflOw (ARPEGGIO): the first workflow for the analysis of epigenetic data in polyploids. This workflow analyzes WGBS data from allopolyploid species via the genome assemblies of the allopolyploids parent species. ARPEGGIO utilizes an updated read classification algorithm (EAGLE-RC), to tackle the challenge of sequence similarity amongst parental genomes. ARPEGGIO offers automation, but more importantly, a complete set of analyses including spot checks starting from raw WGBS data: quality checks, trimming, alignment, methylation extraction, statistical analyses and downstream analyses. A full run of ARPEGGIO outputs a list of genes showing differential methylation. ARPEGGIOs design focuses on ease of use and reproducibility. ARPEGGIO was made simple to set up, run and interpret, and its implementation includes both package management and containerization. Here we discuss all the steps, challenges and implementation strategies; example datasets are provided to show how to use ARPEGGIO. In addition, we also test EAGLE-RC with publicly available datasets given a ground truth, and we show that EAGLE-RC decreases the error rate by 3 to 4 times compared to standard approaches. The goal of ARPEGGIO is to promote, support and improve polyploid research with a reproducible and automated set of analyses in a convenient implementation.

bioinformatics↗

bioRxiv2020

Antagonistic epistasis of Hnf4a and FoxO1 networks through enhancer interactionsin beta-cell function

Genetic and acquired abnormalities contribute to pancreatic {beta}-cell failure in diabetes. Transcription factors Hnf4 (MODY1) and FoxO1 are respective examples of these two components, and are known to act through {beta}-cell-specific enhancers. However, their relationship is unclear. Here we show by genome-wide interrogation of chromatin modifications that FoxO1 ablation in mature {beta}-cells leads to increased selection of FoxO1 enhancers by Hnf4. To model the functional significance we generated single and compound knockouts of FoxO1 and Hnf4 in {beta}-cells. Single knockout of either gene impaired insulin secretion in mechanistically distinct fashions. Surprisingly, the defective {beta}-cell secretory function of either single mutant in hyperglycemic clamps and isolated islets treated with various secretagogues, was completely reversed in double mutants. Gene expression analyses revealed the reversal of {beta}-cell dysfunction with an antagonistic network regulating glycolysis, including {beta}-cell "disallowed" genes; and that a synergistic network regulating protocadherins emerged as likely mediators of the functional restoration of insulin secretion. The findings provide evidence of antagonistic epistasis as a model of gene/environment interactions in the pathogenesis of {beta}-cell dysfunction.

pathology↗

bioRxiv2019

Cyb5r3 links FoxO1-dependent mitochondrial dysfunction with β-cell failure

ObjectiveDiabetes is characterized by pancreatic {beta}-cell dedifferentiation. Dedifferentiating {beta}-cells inappropriately metabolize lipids over carbohydrates and exhibit impaired mitochondrial oxidative phosphorylation. However, the mechanism linking the {beta}-cells response to an adverse metabolic environment with impaired mitochondrial function remains unclear.\n\nMethodsHere we report that the oxidoreductase cytochrome b5 reductase 3 (Cyb5r3) links FoxO1 signaling to {beta}-cell stimulus/secretion coupling by regulating mitochondrial function, reactive oxygen species generation, and NAD/NADH ratios.\n\nResultsExpression of Cyb5r3 is decreased in FoxO1-deficient {beta}-cells. Mice with {beta}-cell-specific deletion of Cyb5r3 have impaired insulin secretion resulting in glucose intolerance and diet-induced hyperglycemia. Cyb5r3-deficient {beta}-cells have a blunted respiratory response to glucose and display extensive mitochondrial and secretory granule abnormalities, consistent with altered differentiation. Moreover, FoxO1 is unable to maintain expression of key differentiation markers in Cyb5r3-deficient {beta}-cells, suggesting that Cyb5r3 is required for FoxO1-dependent lineage stability.\n\nConclusionsThe findings highlight a pathway linking FoxO1 to mitochondrial dysfunction that can mediate {beta}-cell failure.

molecular biology↗

bioRxiv2018

Homeolog expression quantification methods for allopolyploids

Genome duplication with hybridization, or allopolyploidization, occurs in animals, fungi, and plants, and is especially common in crop plants. There is increasing interest in the study of allopolyploids due to advances in polyploid genome assembly, however the high level of sequence similarity in duplicated gene copies (homeologs) pose many challenges. Here we compared standard RNA-seq expression quantification approaches used currently for diploid species against subgenome-classification approaches which maps reads to each subgenome separately. We examined mapping error using our previous and new RNA-seq data in which a subgenome is experimentally added (synthetic allotetraploid Arabidopsis kamchatica) or reduced (allohexaploid wheat Triticum aestivum versus extracted allotetraploid) as ground truth. The error rates in the two species were very similar. The standard approaches showed higher error rates (> 10% using pseudo-alignment with Kallisto) while subgenome-classification approaches showed much lower error rates (< 1% using EAGLE-RC, < 2% using HomeoRoq). Although downstream analysis may partly mitigate mapping errors, the difference in methods was substantial in hexaploid wheat, where Kallisto appeared to have systematic differences relative to other methods. Only approximately half of the differentially expressed homeologs detected using Kallisto overlapped with those by any other method. In general, disagreement in low expression genes was responsible for most of the discordance between methods, which is consistent with known biases in Kallisto. We also observed that there exist uncertainties in genome sequences and annotation which can affect each method differently. Overall, subgenome-classification approaches tend to perform better than standard approaches with EAGLE-RC having the highest precision.

bioinformatics↗