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Biology subjects

Lai, T.

Publications and source records attributed to Lai, T..

15 recordsLinked to original sources

PTPRF is a stress responsive cytoskeletal checkpoint that coordinates metabolic adaptation in hepatocytes and β cells

Cytoskeletal remodeling is essential for adaptation to nutrient availability, yet how cells coordinate actin dynamics with glucose homeostasis in metabolic organs remains unclear. Here, we identify a pathway linking metabolic stress to actin reorganization in hepatocytes and pancreatic {beta} cells. This mechanism involves transcriptional repression of the receptor protein tyrosine phosphatase PTPRF by spliced XBP1, a key unfolded protein response factor. In hepatocytes, PTPRF loss under dietary stress enhances insulin signaling, increases mitochondrial respiration and reduces steatosis. Proteomic analyses show that PTPRF interacts with regulators of actin polymerization and cell junctions, and its deletion promotes actin filament organization, shifting metabolism toward oxidative pathways. In {beta} cells, PTPRF deficiency similarly enhances actin polymerization and augments glucose-stimulated insulin secretion in obesity. Collectively, these findings place PTPRF as a nutrient-responsive regulator of cytoskeletal remodeling that coordinates hepatic metabolism and {beta}-cell function, highlighting its potential as a therapeutic target for improving systemic glucose control.

physiology↗

Selective depletion of AMH-expressing granulosa cells in vivo impairs follicular development and fertility in female mice

In mammals, ovarian follicle development is a highly coordinated process that underlies female fertility. Granulosa cells expressing anti-Mullerian hormone (AMH) are widely used as a marker of growing follicles. However, the in vivo roles of granulosa cells in follicular development and female fertility remain unclear. Here, we analyzed AMH-toxin receptor-mediated cell knockout (AMH-TRECK) transgenic (Tg) mice on a NOG background, in which AMH-expressing granulosa cells are specifically depleted by diphtheria toxin (DT). We first found that, after a single DT injection into postnatal AMH-TRECK Tg females, AMH-expressing granulosa cells in primary and secondary follicles exhibited cleaved caspase-3 signals 1 day later and were depleted 4 days later. Second, after repeated DT injections weekly from 1 to 7 weeks of age in AMH-TRECK Tg females, antral follicles and corpora lutea were rarely observed, and the numbers of primordial, primary, and secondary follicles were decreased. Following PMSG and hCG stimulation, repeated DT-injected Tg females exhibited a reduced number of ovulated oocytes with a low proportion of mature oocytes, resulting in reduced IVF rates and fertility. Further, after a cessation of repeated DT treatment, ovarian weight and follicular development recovered: the numbers of primary, secondary, and antral follicles were recovered, whereas the primordial follicle pool remains reduced. We conclude that selective depletion of AMH-expressing granulosa cells in vivo impairs follicular development and fertility. Our model enables assessment of the in vivo effects of granulosa cell depletion and may provide a useful platform for future transplantation-based studies to understand complex follicular dynamics.

developmental biology↗

Microfluidic-based high-throughput isolation enhances the recovery of novel strains and diversity from Arctic soil microbiome

Microbial cultivation remains essential for understanding the physiology, ecology, and biotechnological potential of environmental microbes, yet conventional plate-based methods (CPM) recover only a minute fraction of the environmental microbiome. Polar regions, particularly Arctic soils, represent unique reservoirs of "microbial dark matter" that remain challenging to cultivate, owing to oligotrophic conditions, low temperatures and freeze-thaw cycles that impose severe physiological constraints on microbial growth. Here, we report the first systematic application of microfluidic droplet technology (MDT) to Arctic active-layer soil microbiota and benchmark its performance against CPM using identical starting cell numbers, R2A medium, and incubation at 15{degrees}C. MDT achieved 6.5- to 8.1-fold higher recovery rates than CPM and improved isolation throughput by >180-fold. Near-full-length 16S rRNA gene sequencing (PacBio) revealed that MDT recovered significantly higher taxonomic richness across all taxonomic levels, with 256 genera detected in the high-cell-input group (DropAS_H) versus 211 in the corresponding plate group (PlateAS_H). Notably, MDT yielded a more even community distribution, significantly reducing the dominance of fast-growing copiotrophs such as Pseudomonas and Flavobacterium. Moreover, approximately 50% of sequences from MDT were affiliated with potential novel species (<98.46% identity to type strains), and 27% with potential novel genera (<95% identity). Strain verification by Sanger sequencing confirmed 12 of 17 isolates as candidate novel species, among which one strain represented a potential novel genus within Devosiaceae. This study demonstrates that MDT is a powerful platform for accessing the uncultured majority of polar soil microbiota and establishes a pipeline for high-throughput isolation of novel cold-adapted bacteria. IMPORTANCEArctic soils harbor a vast reservoir of microbial diversity that remains largely inaccessible due to the extreme oligotrophic conditions and low temperatures characteristic of polar environments, leading to slow growth rates and extended lag phases in most microbes. Conventional plate-based methods (CPM) inherently favor fast-growing copiotrophs while suppressing rare or slow-growing lineages. Here we demonstrate that microfluidic droplet technology (MDT) overcomes these fundamental constraints, representing its first systematic application to polar microbiology. By physically isolating individual cells into nanoliter-scale bioreactors, MDT mitigates interspecific competition, thereby releasing slow-growing and oligotrophic taxa that are otherwise outcompeted in bulk cultures. The water-in-oil emulsion format further enables extended low-temperature incubation without evaporative loss or airborne fungal contamination, issues that frequently compromise long-term plate-based cultivation of Arctic samples. Relative to CPM, MDT increased recovery rates by >6-fold and isolation throughput by >180-fold, while markedly enhanced both taxonomic richness and evenness. Exclusively recovered by MDT, the oligotrophic genus Caulobacter and numerous cold-adapted genera underscore that MDT accesses physiologically distinct fractions of the cryospheric microbiome. Furthermore, the integration of near-full-length 16S rRNA gene sequencing with MDT cultivation assessment provided substantially improved phylogenetic resolution for species-level identification and novel taxon delineation. Collectively, these findings establish MDT as a transformative platform for cryospheric culturomics, accelerating the construction of comprehensive polar strain collections essential for understanding cold-adaptation mechanisms and exploiting the biotechnological potential of Earths frozen microbiomes.

microbiology↗

Shape2Fate: a morphology-aware deep learning framework for tracking endocytic and exocytic carriers at nanoscale.

Plasma membrane homeostasis requires balanced exocytosis and endocytosis, yet their coordination at the single-event level in non-neuronal cells is unresolved. We present Shape2Fate, a morphology-aware deep-learning pipeline that detects, tracks, and classifies individual exocytic and endocytic carriers in live-cell total internal reflection fluorescence structured illumination microscopy (TIRF-SIM) movies at [~]100 nm resolution. Trained on synthetic data and exploiting carrier shape evolution rather than fluorescence intensity, Shape2Fate achieves expert-level tracking and outcome classification across diverse cell types, imaging conditions, and microscope platforms. Applying Shape2Fate to constitutive secretion and insulin-stimulated GLUT4 exocytosis in adipocytes, we uncover two opposing exo-endocytic coupling architectures: exocytic fusion locally nucleates de novo clathrin-coated pits, whereas GLUT4 vesicles target pre-existing pits for rapid cargo capture. These findings establish that the spatial rules governing exo-endocytic coordination are not universal but are pathway-specific. Shape2Fate is openly available, enabling direct event-level mechanistic dissection of exo-endocytic coordination across pathways in living cells.

cell biology↗

Loss of PTPRK in hepatocytes reduces steatosis and carcinogen-induced tumour development in obesity

Protein tyrosine phosphatases are crucial regulators of metabolism with specific roles in different tissues. To investigate hepatocyte-specific function of protein tyrosine phosphatase receptor type K (PTPRK), we generated mice carrying floxed Ptprk alleles and crossed them with Alb-Cre mice (Ptprk{Delta}Hep mice). Under chow feeding, Ptprk{Delta}Hepmice were largely comparable to littermate controls. In contrast, Ptprk{Delta}Hepmice fed a high-fat, high-fructose, high-cholesterol diet exhibited reduced steatosis, lower hepatic PPAR{gamma}, and blunted hepatocyte hypertrophy, accompanied by improved systemic insulin sensitivity, as assessed by hyperinsulinemic-euglycemic clamps. We identified PTPRK-interacting proteins enriched for metabolic functions associated with glycolysis and lipid biosynthesis using pull downs from primary hepatocyte lysates. In line with these findings, Ptprk{Delta}Hep mice developed fewer tumours than controls in an obesity and carcinogen-induced hepatocellular carcinoma (HCC) model. Our data show that under nutrient excess PTPRK is functionally engaged in hepatocytes to support PPAR{gamma}-linked steatotic growth, insulin resistance, and tumour initiation, highlighting PTPRK as a potential therapeutic target in MASLD-associated HCC.

pathology↗

Development of a CRISPR/Cas9-induced gene editing system for Pseudoalteromona fuliginea and its applications in functional genomics

Pseudoalteromonas has been used as a model system to study cold adaptation and is of widespread interest in biotechnology and ecology. To explore its physiological responses to extreme cold, uncover functional genes, and clarify their ecological roles, efficient genetic tools are essential. However, existing genetic manipulation methods in Pseudoalteromonas rely on traditional homology-based recombination, which is inefficient and time-consuming. Consequently, improving editing efficiency is crucial for advancing both basic research and applied potential. Here, we introduced the CRISPR/Cas9 system into Pseudoalteromonas for the first time, and conducted an extensive investigation into the application of the Type II CRISPR/Cas9 system for gene editing in Pseudoalteromonas fuliginea, a representative species thriving in the frigid polar oceans. To validate the feasibility of the CRISPR/Cas system in P. fuliginea, multiple genes were selected as targets and confirmed the gene editing effects through phenotypic changes or gene expression. We have successfully achieved both gene knockouts and insertions in P. fuliginea, encompassing the deletion of genes such as fliJ, indA, and genes encoding Pf sRNAs, as well as the in vivo insertion of 3xflag and the gfp gene. The average CRISPR/Cas9 gene editing efficiency in P. fuliginea exceeded 70% (range: 73.3%-95.8%), which is significantly higher than the traditional homology-based approach (less than 0.1%). In summary, we developed an efficient CRISPR/Cas9-based editing system in P. fuliginea, which can be utilized to accelerate the development of Pseudoalteromonas as a model system for addressing fundamental questions related to extreme environmental adaptation and to fulfill its potential biotechnological applications. IMPORTANCEPseudoalteromonas fuliginea is a marine bacterium with great potential for ecological and biotechnological research, yet its genetic manipulation has long been a technical challenge. In this study, we developed a gene editing system based on CRISPR technology that enables efficient and precise genome modification in this organism. Using this system, we successfully deleted, inserted, and tagged multiple genes, including regulatory and non-coding elements, with high success rates. Notably, several of these genes are linked to key traits such as motility and stress response, which contribute to microbial adaptation in polar environments. This tool allows researchers to directly test gene function and study microbial adaptation in cold marine environments. The ability to perform reliable genetic edits in Pseudoalteromonas fuliginea opens new possibilities for its use as a model organism and will support future advances in microbial ecology, environmental microbiology, and marine biotechnology.

molecular biology↗

Pervanadate-induced oxidation relieves autoinhibition of SRC protein tyrosine kinase

Dynamic regulation of protein tyrosine phosphorylation (pTyr) by phosphatases (PTPs) and kinases enables cells to sense and respond to environmental changes. The widely used chemical probe Pervanadate (PV) induces accumulation of high levels of pTyr in cells, an effect primarily attributed to its properties as a PTP inhibitor. This led to the assertion that PTPs are the master gatekeeper of intracellular pTyr homeostasis. Here, we use diverse approaches to reveal that PV disrupts cellular redox homeostasis and directly activates SRC family tyrosine kinases via oxidation of specific cysteine residues. Using mass spectrometry and biophysical approaches, we show that oxidation activates SRC by disrupting autoinhibition and altering phosphopeptide binding by its SH2 domain. We further establish that redox-sensitive cysteine residues are essential for SRC to promote cellular overgrowth. Our findings call for a re-evaluation of PV-based experiments and provide compelling evidence that oxidation is a crucial mechanism in controlling the oncogenic properties of SRC.

molecular biology↗

3D-bioprinted marine bacteria for the degradation of bioplastics

The severe, long-lasting harm caused by plastic pollution to marine ecosystems and coastal economies has led to the development of biodegradable plastics; however, their limited decomposition in cold, dark marine environments remains a challenge. Here, we present our newly developed technologies for creating 3D-bioprinted living materials for bioplastic degradation with specific use in marine environments. Our approach integrates halotolerant bioplastic-degrading bacterium Bacillus sp. NRRL B-14911 into alginate-based bio-ink to print an engineered living material (ELM) termed a "bio-sticker." Quantification of bacteria viability reveals that bioprinted marine bacteria survive within bio-stickers for more than three weeks. The rate at which the bio-stickers degrade the bioplastic polyhydroxybutyrate (PHB) can be tuned by altering bio-sticker biomass concentration, bioplastic concentration, or incubation temperature. Bio-stickers that are transferred to a new PHB sample still retain high biodegradation activity, demonstrating their durability. Strain sweep oscillatory tests demonstrate viscoelastic behavior of the bio-stickers. Monotonic tensile tests indicate that the elastic modulus and the adhesion of the bio-stickers are not negatively impacted by bacteria growth or incubation temperature. Our work paves the way for development of ELMs to facilitate the inclusion of bioplastics within the blue economy, promoting the emergence of more sustainable and eco-friendly materials.

synthetic biology↗

Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning

Recent evidence indicates that even under stable environmental and behavioural conditions responses to sensory stimuli undergo continuous reformatting over the course of days, a condition described as representational drift. However, the processes underlying this phenomenon remain poorly understood. Examining the dynamics of signal and noise correlations among neuron pairs in chronic calcium imaging experiments in the mouse auditory cortex, we investigate how activity-dependent, Hebbian-like plasticity, and activity-independent, stochastic synaptic processes contribute to representational drift. We found that signal correlations predict future noise correlations, suggesting that stimulus-induced co-activation leads to increased effective connectivity between neuron pairs. Moreover, simple linear network models were able to account for the observed temporal dependencies between signal and noise correlations, but only if both Hebbian-like plasticity and stochastic changes of either inputs or recurrent synapses contribute to representational drift. In conclusion, our findings suggest that continuous sensory input-driven Hebbian-like plasticity can balance ongoing stochastic synaptic changes, thereby preventing the networks functional degradation.

neuroscience↗

Single-cell RNA sequencing reveals recruitment of the M2-like CCL8high macrophages in Lewis lung carcinoma-bearing mice following hypofractionated radiotherapy

Tumor-associated macrophages (TAMs) are a crucial factor in reprogramming the tumor microenvironment following radiotherapy. The mechanisms underlying this process remain to be elucidated. Here, we seek to investigate the effects of hypofractionated radiotherapy on macrophages dynamics in a subcutaneous Lewis lung carcinoma murine model. Utilizing single-cell RNA sequencing, we identified a distinct M2-like population of macrophages with high Ccl8 expression level post-hypofractionated radiotherapy. Remarkbly, hypofractionated radiotherapy promoted CCL8high macrophages infiltration and reprogrammed them by upregulating immunosuppressive genes and downregulating antigen-presenting genes, leading to an immunosuppressive tumor microenvironment. Further, we demonstrated that hypofractionated radiotherapy amplified the CCL signaling pathway, enhancing the pro-tumorigenic functions of CCL8high macrophages and promoting macrophages recruitment. The combination therapy of hypofractionated radiotherapy with the CCL signal inhibitor Bindarit was effective in reducing M2 macrophages infiltration and extending the duration of local tumor control. This research highlights the potential of targeting TAMs and introduces a novel combination to improve the efficacy of hypofractionated radiotherapy.

immunology↗

STOmicsDB: a database of Spatial Transcriptomic data

Recent technological development in spatial transcriptomics allows researchers to measure gene expression of cells and their spatial locations at the almost single-cell level, which generates detailed biological insight into biological processes. However, specialized spatial transcriptomics databases are rare. Here, we present the Spatial TranscriptOmics DataBase (STOmicsDB), a user-friendly database with multifunctions including search of relevant publications and tools, public dataset visualization, customized specialized databases, new data archive, and online analysis. The current version of STOmicsDB consists of 141 curated spatial transcript datasets covering 12 species, and includes 5,618 spatial multi-omics publications and 674 tools. STOmicsDB is freely accessible at https://db.cngb.org/stomics/.

genomics↗

iLoci: Robust evaluation of genome content and organization for provisional and mature genome assemblies

BackgroundThe rate at which new draft genome assemblies and corresponding annotation versions are being produced has long outpaced the scientific communitys capacity to refine these drafts into "finished," reference-quality data resources to a standard typically expected from dedicated efforts of model organism research communities. Nonetheless, scientists must be able to evaluate newly sequenced genomes in the context of previously published data, requiring summaries of genome content and organization that can be quickly computed, updated, and meaningfully compared. As annotation quality will necessarily vary within and across data sets, the ability to select subsets of only those data that are well supported is critical for distinguishing technical artifacts from biological effects in genome-wide analyses. ResultsWe introduce a new framework for genome analyses based on parsing an annotated genome assembly into distinct interval loci (iLoci), available as open source software as part of the AEGeAn Toolkit (https://github.com/BrendelGroup/AEGeAn). We demonstrate that iLoci provide an alternative coordinate system that is robust to changes in assembly and annotation versions and facilitates granular quality control of genome data. We discuss how statistics computed on iLoci reflect various characteristics of genome content and organization and illustrate how these statistics can be used to establish a baseline for assessment of the completeness and accuracy of the data. We also introduce a well-defined measure of relative genome compactness and compute other iLocus statistics that reveal genome-wide characteristics of gene arrangements in the whole genome context. ConclusionsWe present a coherent computational framework that calculates informative statistics from genome assembly/annotation data input. Given the fast pace of assembly/annotation updates, our AEGeAn Toolkit fills a niche in computational genomics based on deriving persistent and species-specific genome statistics. Gene structure model centric iLoci provide a precisely defined coordinate system that can be used to store assembly/annotation updates that reflect either stable or changed assessments. Large-scale application of the approach revealed species and clade specific genome organization in precisely defined computational terms, promising intriguing forays into the forces of shaping genome structure as more and more genome assemblies are being deposited.

genomics↗

CDCP: a visualization and analyzing platform for single-cell datasets

Advances in single-cell sequencing technology provide a unique approach to characterize the heterogeneity and distinctive functional states at single-cell resolution, leading to rapid accumulation of large-scale single-cell datasets. A big challenge undertaken by research community especially bench scientists is how to simplify the way of retrieving, processing and analyzing the huge number of datasets. Towards this end, we developed Cell-omics Data Coordinate Platform (CDCP), a platform that aims to share and integrate comprehensive single-cell datasets, and to provide a network analysis toolkit for personalized analysis. CDCP contains single-cell RNA-seq and ATAC-seq datasets of 474 572 cells from 6 459 samples in species covering humans, non-human primate models and other animals. It allows querying and visualization of interested datasets and the expression profile of distinct genes in different cell clusters and cell types. Besides, this platform provides an analysis pipeline for non-bioinformatician experimental scientists to address questions not focused by the submitters of the datasets. In summary, CDCP provides a user-friendly interface for researchers to explore, visualize, analyze, download and submit published single-cell datasets and it will be a valuable resource for investigators to explore the global transcriptome profiling at single-cell level.

bioinformatics↗

LSD1 promotes secretory cell specification to drive BRAF mutant colorectal cancer

Despite the connection to distinct mucus-containing colorectal cancer (CRC) histological subtypes, the role of secretory cells, including goblet and enteroendocrine (EEC) cells, in CRC progression has been underexplored. Analysis of TCGA and single cell RNA sequencing data demonstrates that multiple secretory progenitor populations are enriched in BRAF-mutant CRC patient tumors and cell lines. Enrichment of EEC progenitors in BRAF-mutant CRC is maintained by DNA methylation and silencing of NEUROD1, a key gene required for differentiation of EECs. Mechanistically, secretory cells and the factors they secrete, such as Trefoil factor 3, are shown to promote colony formation and activation of cell survival pathways in the entire cell population. We further identify LSD1 as a critical regulator of secretory cell specification in vitro and in a colon orthotopic xenograft model, where LSD1 loss reduces tumor growth and metastasis. This work establishes EEC progenitors, in addition to goblet cells, as targetable populations in BRAF-mutant CRC and identifies LSD1 as a therapeutic target in secretory lineage-containing CRC.

cancer biology↗

Mobilization of tissue-resident memory CD4+ T lymphocytes and their contribution to a systemic secondary immune reaction

While it is generally accepted that tissue-resident memory T lymphocytes protect host tissues from secondary immune challenges, it is unclear whether, and if so, how they contribute to systemic secondary immune responses. Here we show that in human individuals with an established immune memory to measles, mumps and rubella viruses, when challenged with the measles-mumps-rubella (MMR) vaccine again, tissue-resident memory CD4+ T cells are mobilized into the blood within 16 to 48 hours after vaccination. These cells then leave the blood again, and apparently contribute to the systemic secondary immune reaction, as is evident from the representation of mobilized T cell receptor V{beta} clonotypes among newly generated circulating memory T lymphocytes, from day 7 onwards. Mobilization of the tissue-resident memory T cells is cognate, in that memory T lymphocytes recognizing other antigens, e.g. tetanus toxin, are not mobilized, unless they cross-react with the vaccine. These data originally demonstrate the essential contribution of tissue-resident memory T cells to secondary systemic immune responses, confirming that immunological memories to systemic pathogens are maintained (also) by tissue-resident memory T cells. In practical terms, the present work defines day 1 to 2 after antigenic challenge as a time window to assess the entire immunological T cell memory for a certain pathogen, including mobilized tissue-resident memory T cells, and its correlates of effectivity. Capsule summaryThe study demonstrates the rapid and cognate mobilization of tissue-resident memory CD4+ T cells into the blood upon antigenic rechallenge, and their contribution to secondary systemic immune responses.

immunology↗