Biology subjects

Pan, T.

Publications and source records attributed to Pan, T..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

TSHR-targeting nucleic acid aptamer treats Graves' ophthalmopathy via novel allosteric inhibition

Abnormal thyrotropin receptor (TSHR) signaling drives a spectrum of diseases affecting hundreds of millions globally, including Graves disease (GD), Graves ophthalmopathy (GO), hyperthyroidism, and thyroid cancers. Therefore, TSHR is considered an attractive therapeutic target with immense drug discovery potential. Currently, there are no clinically available TSHR inhibitors. To address this unmet medical need, we developed YC3, a functional nucleic acid aptamer targeting TSHR, via an innovative approach combining protein-targeting cell-SELEX and functional selection. YC3 exhibited nanomolar affinity with potent TSHR inhibition. Its therapeutic potential was comprehensively evaluated both in vitro and in vivo for GO. In GO patient-derived orbital fibroblasts (OFs), YC3 reversed thyroid-stimulating antibodies (TSAbs)-induced cell activation, suppressing inflammatory cytokines and extracellular matrix (ECM) secretion. In a GO mouse model, YC3 treatment markedly attenuated orbital inflammation, ECM deposition, and fibrosis, ameliorating the pathological remodeling of orbital tissue. Mechanistically, YC3 bound to a previously unidentified allosteric site within the leucine-rich repeat domain of TSHR, thereby inhibiting receptor activation. This study identifies YC3 as a promising TSHR-targeted therapy and unveils a new druggable site for inhibitor design. It also provides the first preclinical evidence supporting pharmacological TSHR inhibition for GO treatment, advancing therapeutic development for TSHR-related diseases.

biochemistry↗

bioRxiv2025

An artificial metal-free peroxidase designed using a ferritin cage

Developing artificial enzymes is challenging because it requires precise design of active sites with well-arranged amino acid residues. Histidine-rich oligopeptides have been recently shown to exhibit peroxidase-mimetic activities, but their catalytic function relies on maintaining unique supramolecular structures. This work demonstrates the design of a specific array of histidine residues on the internal surface of the ferritin cage to function as an active center for catalysis. The crystal structures of the ferritin mutants revealed histidine-histidine interactions, forming well-defined histidine clusters (His-clusters). These mutants exhibit peroxidase-mimetic activities by oxidizing 3,3,5, 5-tetramethylbenzidine (TMB) in the presence of hydrogen peroxide. Molecular dynamics simulations further highlight the co-localization of TMB and hydrogen peroxide at the histidine-rich clusters, indicating that the confined environment of the ferritin cage enhances their interactions. This study presents a simple yet effective approach to design cofactor-free artificial enzymes, paving the way for innovations in bioinspired catalysis.

synthetic biology↗

bioRxiv2024

Male Mice Have no Sugar-preference Behavior

Sugar-preference behavior is considered to be universally innate among humans and animals. Current research on the detection and mechanisms of sugar-preference behavior largely adopts the "two-bottle choice assay", and most experiments use male mice as the model, which has serious methodological flaws, leading to questionable conclusions. As expected, through adopting our improved experimental method, we discovered distinct sugar preferences between male and female mice: females possess an innate preference, while males do not. However, the innate sugar preference in female mice can be lost due to their long-term normal diet. Even after "training" with high-sugar food for a long time, the results still show differences between males and females. Female mice retain a significant preference for sugar, while male mice are not influenced by the training of high-sugar food and still do not evolve a sugar preference. From this, we conclude that gender determines the emergence and development of sugar preference in mice. Our results can provide researchers with a new understanding of sugar preference, which will help them fill in or even correct the gaps in the original experimental design methods to obtain more reliable conclusions.

animal behavior and cognition↗

bioRxiv2024

First record of Culex pipiens (Diptera: Culicidae) in Alberta: Expanding distributions and ecotype patterns in a western Canadian province

Culex pipiens is an invasive mosquito found in temperate regions globally. It is considered among the most important disease vectors worldwide and is responsible for transmission of a range of pathogens, including West Nile virus, avian malaria, Saint Louis encephalitis, and filarial worms. Throughout its northern temperate range, this mosquito is found in two ecotypes: form pipiens and form molestus. In Canada, this mosquito was previously thought restricted to the Pacific coast of British Columbia and the eastern provinces of Ontario, Quebec, and the Maritimes. Through routine mosquito surveillance and targeted trapping for Cx. pipiens, we detected this mosquito in two Albertan municipalities earlier than suggested by species distribution modelling based on climate change data. We confirmed the identity of putative Cx. pipiens specimens using DNA sequencing and found that form pipiens was the most common ecotype found in Alberta. Further, we compared the frequency of ecotypes in Alberta to elsewhere in North America and found a general trend of increased form pipiens in more northern latitudes, similar to previously reported results. We discuss our findings in context of vector-borne disease activity in Canada, particularly West Nile virus.

ecology↗

bioRxiv2024

SCREEN: a graph-based contrastive learning tool to infer catalytic residues and assess mutation tolerance in enzymes

The accurate identification of catalytic residues contributes to our understanding of enzyme functions in biological processes and pathways. The increasing number of protein sequences necessitates computational tools for the automated prediction of catalytic residues in enzymes. Here, we introduce SCREEN, a graph neural network for the high-throughput prediction of catalytic residues via the integration of enzyme functional and structural information. SCREEN constructs residue representations based on spatial arrangements and incorporates enzyme function priors into such representations through contrastive learning. We demonstrate that SCREEN (i) consistently outperforms currently-available predictors; (ii) provides accurate results when applied to inferred enzyme structures; and (iii) generalizes well to enzymes dissimilar from those in the training set. We also show that the putative catalytic residues predicted by SCREEN mimic key structural and biophysical characteristics of native catalytic residues. Moreover, using experimental data sets, we show that SCREENs predictions can be used to distinguish residues with a high mutation tolerance from those likely to cause functional loss when mutated, indicating that this tool might be used to infer disease-associated mutations.

bioinformatics↗

bioRxiv2024

Unbiased metastatic niche-labeling identifies estrogen receptor-positive macrophages as a barrier of T cell infiltration during bone colonization

Microenvironment niches determine cellular fates of metastatic cancer cells. However, robust and unbiased approaches to identify niche components and their molecular profiles are lacking. We established Sortase A-Based Microenvironment Niche Tagging (SAMENT), which selectively labels cells encountered by cancer cells during metastatic colonization. SAMENT was applied to multiple cancer models colonizing the same organ and the same cancer to different organs. Common metastatic niche features include macrophage enrichment and T cell depletion. Macrophage niches are phenotypically diverse between different organs. In bone, macrophages express the estrogen receptor alpha (ER) and exhibit active ER signaling in male and female hosts. Conditional knockout of Esr1 in macrophages significantly retarded bone colonization by allowing T cell infiltration. ER expression was also discovered in human bone metastases of both genders. Collectively, we identified a unique population of ER+ macrophages in the metastatic niche and functionally tied ER signaling in macrophages to T cell exclusion during metastatic colonization. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=165 SRC="FIGDIR/small/593016v1_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@1cd65b6org.highwire.dtl.DTLVardef@1d099e2org.highwire.dtl.DTLVardef@26cd91org.highwire.dtl.DTLVardef@181f5f3_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LISAMENT is a robust metastatic niche-labeling approach amenable to single-cell omics. C_LIO_LIMetastatic niches are typically enriched with macrophages and depleted of T cells. C_LIO_LIDirect interaction with cancer cells induces ER expression in niche macrophages. C_LIO_LIKnockout of Esr1 in macrophages allows T cell infiltration and retards bone colonization. C_LI

cancer biology↗

bioRxiv2024

Single cell profiling of bone metastasis ecosystems from multiple cancer types reveals convergent and divergent mechanisms of bone colonization.

Bone represents congenial soil for metastatic seeds and is frequently affected by metastasis of multiple cancer types. The histological and molecular characteristics of bone metastases (BMs) are diverse but poorly understood. Herein, we performed single-cell RNA-seq on 34 BMs from 6 cancer types and identified 3 ecosystem archetypes characterized by enrichment of macrophages/osteoclasts (M{varphi}-OC), regulatory/exhausted T cells (Treg-Tex), and monocytes (Mono), respectively. Breast cancer BMs are mostly the M{varphi}-OC archetype driven by the osteolytic vicious cycle, whereas kidney cancers BMs mainly belong to the Treg-Tex archetype that lacks osteoclasts. Lung cancers BMs evenly distributed across all archetypes. Further analyses revealed parallel mechanisms of immunosuppression and bone remodeling. Elevated estrogen signaling distinguishes macrophages in the M{varphi}-OC subtype, which was investigated in a companion study. Together, we elucidated that divergent mechanisms toward bone colonization and that BMs of different origins can adopt the same mechanism through convergent evolution or adaptation. HIGHLIGHTSO_LIAnalyses of bone metastases from 6 cancer types revealed three immune archetypes. C_LIO_LIArchetypes diverge on immune trajectories, and features of tumor and stromal cells. C_LIO_LIDominant cell type in each archetype undergoes convergent evolution. C_LIO_LIRegulatory networks converge on osteoclasts and Tregs to drive archetype formation. C_LI Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/593027v1_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@82cef6org.highwire.dtl.DTLVardef@1e1b021org.highwire.dtl.DTLVardef@1f2881eorg.highwire.dtl.DTLVardef@1c6874a_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2024

A deep learning-based model integrating base-pairing patterns improves microRNA target site prediction

Micro RNAs (miRNAs) are short non-coding RNAs involved in various cellular processes, playing a crucial role in gene regulation. Identifying miRNA targets remains a central challenge and is pivotal for elucidating the complex gene regulatory networks. Traditional computational approaches have predominantly focused on identifying miRNA targets through perfect Watson-Crick base pairings within the seed region, referred to as canonical sites. However, emerging evidence suggests that perfect seed matches are not a prerequisite for miRNA-mediated regulation, underscoring the importance of also recognizing imperfect, or non-canonical, sites. To address this challenge, we propose Mimosa, a new computational approach that employs the Transformer framework to enhance the prediction of miRNA targets. Mimosa distinguishes itself by integrating contextual, positional, and base-pairing information to capture in-depth attributes, thereby improving its predictive capabilities. Its unique ability to identify non-canonical base-pairing patterns makes Mimosa a standout model, reducing the reliance on pre-selecting candidate targets. Mimosa achieves superior performance in gene-level predictions and also shows impressive performance in site-level predictions across various non-human species through extensive benchmarking tests. To facilitate research efforts in miRNA targeting, we have developed an easy-to-use web server for comprehensive end-to-end predictions, which is publicly available at http://monash.bioweb.cloud.edu.au/Mimosa/.

bioinformatics↗

bioRxiv2024

Evaluating a Novel High-Density EEG Sensor Net Structure for Improving Inclusivity in Infants with Curly or Tightly Coiled Hair

Electroencephalography (EEG) is an important tool in the field of developmental cognitive neuroscience for indexing neural activity. However, racial biases persist in EEG research that limit the utility of this tool. One bias comes from the structure of EEG nets/caps that do not facilitate equitable data collection across hair textures and types. Recent efforts have improved EEG net/cap design, but these solutions can be time-intensive, reduce sensor density, and are more difficult to implement in younger populations. The present study focused on testing EEG sensor net designs over infancy. Specifically, we compared EEG data quality and retention between two high-density saline-based EEG sensor net designs from the same company (Magstim EGI, Whitland, UK) within the same infants during a baseline EEG paradigm. We found that within infants, the tall sensor nets resulted in lower impedances during collection, including lower impedances in the key online reference electrode for those with greater hair heights and resulted in a greater number of usable EEG channels and data segments retained during pre-processing. These results suggest that along with other best practices, the modified tall sensor net design is useful for improving data quality and retention in infant participants with curly or tightly-coiled hair.

neuroscience↗

bioRxiv2023

ST-GEARS: Advancing 3D Downstream Research through Accurate Spatial Information Recovery

Three-dimensional Spatial Transcriptomics has revolutionized our understanding of tissue regionalization, organogenesis, and development. However, to reconstruct single sections back to their in situ three-dimensional morphology, existing approaches either only adopt gene expression information to guide reconstruction or overlook shape correction against experiment-induced section distortions. This leads to significant discrepancies between reconstruction results and the actual in vivo locations of cells, imposing unreliable spatial profiles to downstream analysis. To address these challenges, we propose ST-GEARS (Spatial Transcriptomics GEospatial profile recovery system through AnchoRS), which solves optimized anchors between in situ closest spots utilizing expression and structural similarity across sections and recovers in vivo spatial information under the guidance of anchors. By employing innovative Distributive Constraints into the Optimization scheme, it retrieves anchors with higher precision compared to existing methods. Taking these anchors as reference points, ST-GEARS first rigidly aligns sections, then introduces and infers Elastic Fields to counteract distortions. ST-GEARS denoises the fields using context information by Gaussian Denoising. Utilizing the denoised fields, it eliminates distortions and eventually recovers original spatial profile through innovative and mathematically proved Bi-sectional Fields Application. Studying ST-GEARS on both bi-sectional registration and complete tissue reconstruction across sectional distances and sequencing platforms, we observed its outstanding performance in spatial information recovery across tissue, cell, and gene levels compared to current approaches. Through this recovery, ST-GEARS provides precise and well-explainable gears between in vivo situations and 3D in vitro analysis, powerfully fueling the potential of biological discoveries.

bioinformatics↗

bioRxiv2023

Modifications in the T arm of tRNA globally determine tRNA maturation, function and cellular fitness

All elongator tRNAs harbor 5-methyluridine 54 and pseudouridine 55 in the T arm, which are generated by the enzymes TrmA and TruB, respectively. Escherichia coli TrmA and TruB both act as tRNA chaperones, and strains lacking trmA or truB are outcompeted by wildtype. Here, we investigate how TrmA and TruB contribute to cellular fitness. Deletion of trmA and truB in E. coli causes a global decrease in aminoacylation and alters other tRNA modification such as acp3U47. Whereas overall protein synthesis is not affected in {Delta}trmA and {Delta}truB strains, the translation of a specific subset of codons is significantly impaired, and the expression of many specific proteins is translationally changed. In conclusion, we demonstrate that universal modifications of the tRNA T arm are critical for global tRNA function by enhancing tRNA maturation, tRNA aminoacylation, and translation, thereby improving cellular fitness and explaining trmA and truB conservation.

molecular biology↗

bioRxiv2023

Resident memory T cell development is associated with AP-1 transcription factor upregulation across anatomical niches.

Tissue-resident memory T (TRM) cells play a central role in immune responses to pathogens across all barrier tissues after infection. However, the underlying mechanisms that drive TRM differentiation and priming for their recall effector function remains unclear. In this study, we leveraged both newly generated and publicly available single-cell RNA-sequencing (scRNAseq) data generated across 10 developmental time points to define features of CD8 TRM across both skin and small-intestine intraepithelial lymphocytes (siIEL). We employed linear modeling to capture temporally-associated gene programs that increase their expression levels in T cell subsets transitioning from an effector to a memory T cell state. In addition to capturing tissue-specific gene programs, we defined a consensus TRM signature of 60 genes across skin and siIEL that can effectively distinguish TRM from circulating T cell populations, providing a more specific TRM signature than what was previously generated by comparing bulk TRM to naive or non-tissue resident memory populations. This updated TRM signature included the AP-1 transcription factor family members Fos, Fosb and Fosl2. Moreover, ATACseq analysis detected an enrichment of AP-1-specific motifs at open chromatin sites in mature TRM. CyCIF tissue imaging detected nuclear co-localization of AP-1 members Fosb and Junb in resting CD8 TRM >100 days post-infection. Taken together, these results reveal a critical role of AP-1 transcription factor members in TRM biology and suggests a novel mechanism for rapid reactivation of resting TRM in tissue upon antigen encounter.

immunology↗

bioRxiv2023

Chemotherapeutic regulation of the ROS/MondoA-dependent TXNIP/GDF15 axis; and derivation of a new organoid metric as a predictive biomarker

Chemotherapy, the standard of care treatment for cancer patients with advanced disease, has been increasingly recognised to activate host immune responses to produce durable outcomes. Here, in colorectal adenocarcinoma (CRC) we identify chemotherapy-induced Thioredoxin Interacting Protein (TXNIP), a MondoA-dependent tumor suppressor gene, as a negative regulator of Growth/Differentiation Factor 15 (GDF15). GDF15 is a negative prognostic factor in CRC and promotes the differentiation of regulatory T cells (Tregs), through CD48 ligation. Intriguingly, multiple models including patient-derived tumor organoids demonstrate that loss of TXNIP/GDF15 axis functionality is associated with advanced disease or chemotherapeutic resistance, with transcriptomic or proteomic GDF15/TXNIP ratios showing potential as a prognostic biomarker. These findings illustrate a potentially common pathway where chemotherapy-induced epithelial stress drives local immune remodelling for patient benefit, with disruption of this pathway seen in refractory or advanced cases.

cancer biology↗

bioRxiv2023

ASB3 expression aggravates inflammatory bowel disease by targeting TRAF6 protein stability and affecting the intestinal microbiota

E3 ubiquitin ligase (E3) plays a vital role in regulating inflammatory responses by mediating ubiquitination. Previous studies have shown that ankyrin repeat and SOCS box-containing protein 3 (ASB3) is involved in immunomodulatory functions associated with cancer. However, the impact of ASB3 on the dynamic interplay of microbiota and inflammatory responses in inflammatory bowel disease (IBD) is unclear. Here we systematically identify the E3 ligase ASB3 as a facilitative regulator in the development and progression of IBD. ASB3-/- mice are resistant to DSS-induced colitis. I{kappa}B phosphorylation levels and production of proinflammatory factors IL-1{beta}, IL-6, and TNF- were reduced in colonic tissues of ASB3-/- mice compared to WT mice. This colitis-resistant phenotype was suppressed after coprophagic microbial transfer and reversed after combined antibiotic clearance of the microbiota. Mechanistically, ASB3 specifically catalyzes K48-linked polyubiquitination of TRAF6 in IECs. In contrast, in ASB3-deficient organoids, the integrity of the TRAF6 protein is shielded, consequently decelerating the onset of intestinal inflammation. Taken together, Our findings demonstrates that ASB3 is associated with dysregulation of the colitis microbiota and promotes proinflammatory factors production by disrupting the TRAF6 stability. Strategies to limit the protein level of ASB3 in intestinal epithelial cells may help in the treatment of colitis.

immunology↗

bioRxiv2023

Enzyme-mediated alkynylation enables transcriptome-wide identification of pseudouridine modifications

Pseudouridine ({Psi}) is one of the most abundant chemical modifications that exists in various types of RNA species and is known to play important roles in RNA function. The advances in studies of {Psi} in less abundant messenger RNA species have been hindered by a lack of suitable methods to precisely and sensitively map their distributions. Here we show that a methyltransferase from Methanocaldococcus jannaschii can label RNA {Psi} efficiently and specifically with various functional groups, both in isolated RNA and inside cells. We leveraged this enzymatic labeling strategy to develop ELAP-seq as a facile method to enrich {Psi}-modified transcripts for the detection of {Psi} modifications at single base resolution with high sensitivity and low background. Using this method, we identified over 10, 000 candidate {Psi} sites from human transcripts, which provides new insights into {Psi} biosynthesis and function. Our study provides a chemical biology method that specifically labels {Psi} for its detection and functional alteration.

biochemistry↗

bioRxiv2023

Acceleration of Large-Scale Single Cell Differential Gene Expression Analysis with FastDE

The major bottleneck in single cell transcriptomic processing is identification of marker genes for individual cell clusters. We introduce FastDE, an implementation of the standard Wilcoxon Rank Sum test in C++ that results in 50X speed-up of the standard Seurat pipeline on a dataset of 1.2 million cells. Proof of methodology is demonstrated by replicating age and gender effects on immune cell differentiation in two large PBMC atlases.

bioinformatics↗

bioRxiv2023

BATF relieves hepatic steatosis by inhibiting PD1 and promoting energy metabolism

The rising prevalence of nonalcoholic fatty liver disease (NAFLD) has become a global health threat that needs to be addressed urgently. Basic leucine zipper ATF-like transcription factor (BATF) is commonly thought to be involved in immunity, but its effect on lipid metabolism is not clear. Here, we investigated the function of BATF in hepatic lipid metabolism. BATF alleviated high-fat diet (HFD)-induced hepatic steatosis and inhibited elevated programmed cell death protein (PD)1 expression induced by HFD. A mechanistic study confirmed that BATF regulated fat accumulation by inhibiting PD1 expression and promoting energy metabolism. PD1 antibodies alleviated hepatic lipid deposition. In conclusion, we identified the regulatory role of BATF in hepatic lipid metabolism and that PD1 is a target for alleviation of NAFLD. This study provides new insights into the relationship between BATF, PD1 and NAFLD.

molecular biology↗

bioRxiv2023

Delineating genotypes and phenotypes of individual cells from long-read single cell transcriptomes

Single-cell nanopore sequencing of full-length mRNAs (scNanoRNAseq) is transforming singlecell multi-omics studies. However, challenges include computational complexity and dependence on short-read curation. To address this, we developed a comprehensive toolkit, scNanoGPS to calculate same-cell genotypes-phenotypes without short-read guidance. We applied scNanoGPS onto 23,587 long-read transcriptomes from 4 tumors and 2 cell lines. Standalone, scNanoGPS accurately deconvoluted error-prone long-reads into single-cells and single-molecules. Further, scNanoGPS simultaneously accessed both phenotypes (expressions/isoforms) and genotypes (mutations) of individual cells. Our analyses revealed that tumor and stroma/immune cells often expressed significantly distinct combinations of isoforms (DCIs). In a kidney tumor, we identified 924 genes with DCIs involved in cell-type-specific functions such as PDE10A in tumor cells and CCL3 in lymphocytes. Moreover, transcriptome-wide mutation analyses identified many cell-type-specific mutations including VEGFA mutations in tumor cells and HLA-A mutations in immune cells, highlighting critical roles of different populations in tumors. Together, scNanoGPS facilitates applications of single-cell long-read sequencing.

bioinformatics↗