Use of a dual genetic system to decipher exocrine cell fate conversions in the adult pancreas

Pancreatic Ductal Cell Heterogeneity: Insights into the Potential for β-Cell Regeneration in Diabetes

Diabetes mellitus is a significant and fast-growing health problem worldwide. Cost, donor shortages, and immune rejection limit current treatment strategies. While considerable progress has been made in creating β-cells in vitro with remarkable morphological and functional resemblance to those in primary pancreatic islets, exploring alternative sources for β-cell replacement is crucial. With adult pancreatic stem cells still not conclusively identified, researchers focus their attention on heterogeneity within pancreatic ductal epithelial cells, exploring these cells as a potential source of progenitor cells for pancreatic regeneration and β-cell formation. Recent studies using techniques such as fluorescence-activated cell sorting, immunostaining and single cell RNA-sequencing have identified ductal cell heterogeneity with several subpopulations of ductal cells with progenitor-like properties and their capacity for differentiation into insulin producing cells. Here, we have reviewed the most recent studies on pancreatic ductal cell subpopulations that offer insights into potential stem-cell populations to form β-cells in diabetes treatment.

Long-term labelling and tracing of endodermal cells using a perpetual cycling Gal4-UAS system

Cell labelling and lineage tracing are indispensable tools in developmental biology, offering powerful means with which to visualise and understand the complex dynamics of cell populations during embryogenesis. Traditional cell labelling relies heavily on signal stability, promoter strength and stage specificity, limiting its application in long-term tracing. In this report, we optimise and reconfigure a perpetual cycling Gal4-UAS system employing a previously unreported Gal4 fusion protein and the autoregulatory Gal4 expression loop. As validated through heat-shock induction, this configuration ensures sustained transcription of reporter genes in target cells and their descendant cells while minimising cytotoxicity, thereby achieving long-term labelling and tracing. Further exploiting this system, we generate zebrafish transgenic lines with continuous fluorescent labelling specific to the endoderm, and demonstrate its effectiveness in long-term tracing by showing the progression of endoderm development from embryo to adult, providing visualisation of endodermal cells and their derived tissues. This continuous labelling and tracing strategy can span the entire process of endodermal differentiation, from progenitor cells to mature functional cells, and is applicable to studying endoderm patterning and organogenesis.

Lineage tracing of pancreatic cells for mechanistic and therapeutic insights

Recent advances in lineage-tracing technologies have significantly improved our understanding of pancreatic cell biology, particularly in elucidating the ontogeny and regenerative capacity of pancreatic cells. A deeper appreciation of the mechanisms underlying pancreatic cell identity and plasticity holds the potential to inform the development of new therapeutic modalities for conditions such as diabetes and pancreatitis. With this goal in mind, here we summarize advances, challenges, and future directions in tracing pancreatic cell origins and fates using lineage-tracing technologies. Given their essential role for blood glucose regulation, we pay particular attention on the insights gained from endocrine cells, especially β-cells.

H4K20me3-Mediated Repression of Inflammatory Genes Is a Characteristic and Targetable Vulnerability of Persister Cancer Cells

Anticancer therapies can induce cellular senescence or drug-tolerant persistence, two types of proliferative arrest that differ in their stability. While senescence is highly stable, persister cells efficiently resume proliferation upon therapy termination, resulting in tumor relapse. Here, we used an ATP-competitive mTOR inhibitor to induce and characterize persistence in human cancer cells of various origins. Using this model and previously described models of senescence, we compared the same cancer cell lines under the two types of proliferative arrest. Persister and senescent cancer cells shared an expanded lysosomal compartment and hypersensitivity to BCL-XL inhibition. However, persister cells lacked other features of senescence, such as loss of lamin B1, senescence-associated β-galactosidase activity, upregulation of MHC-I, and an inflammatory and secretory phenotype (senescence-associated secretory phenotype or SASP). A genome-wide CRISPR/Cas9 screening for genes required for the survival of persister cells revealed that they are hypersensitive to the inhibition of one-carbon (1C) metabolism, which was validated by the pharmacologic inhibition of serine hydroxymethyltransferase, a key enzyme that feeds methyl groups from serine into 1C metabolism. Investigation into the relationship between 1C metabolism and the epigenetic regulation of transcription uncovered the presence of the repressive heterochromatic mark H4K20me3 at the promoters of SASP and IFN response genes in persister cells, whereas it was absent in senescent cells. Moreover, persister cells overexpressed the H4K20 methyltransferases KMT5B/C, and their downregulation unleashed inflammatory programs and compromised the survival of persister cells. In summary, this study identifies distinctive features and actionable vulnerabilities of persister cancer cells and provides mechanistic insight into their low inflammatory activity. Significance: Cell persistence and senescence are distinct states of proliferative arrest induced by cancer therapy, with persister cells being characterized by the silencing of inflammatory genes through the heterochromatic mark H4K20me3. See related commentary by Schmitt, p. 7.

Small molecules enhance the high-efficiency generation of pancreatic ductal organoids

Advancements in three-dimensional (3D) organoid cultures have created more physiologically relevant models for pancreatic disease research, but efficiently generating mature pancreatic ductal cells remains challenging. In this study, we develop a novel protocol to generate pancreatic ductal organoids (PDOs) with high initiation efficiency and an enrichment of pancreatic ductal cells. By utilizing a cocktail of small molecules, we optimize the culture conditions to improve organoid formation. Our findings demonstrate that this protocol facilitates the formation and expansion of PDOs derived from Sox9-positive ductal cells, including heterogeneous ductal cells and acinar cells. These organoid cultures exhibit remarkable stability, supporting long-term expansion. This system provides an efficient model with potential applications in high-throughput drug screening. Moreover, these organoids recapitulate the exocrine cell composition and may reflect the cellular plasticity between ductal and acinar cells, providing a valuable platform for investigating pancreatic diseases such as pancreatic ductal adenocarcinoma (PDAC). The model presents a promising tool for future research aimed at understanding disease mechanisms and potentially helping drug development for pancreatic disorders.

Development of a deep learning-based 1D convolutional neural network model for cross-species natural killer T cell identification using peripheral blood mononuclear cell single-cell RNA sequencing data

Background and Aim

Natural killer T (NKT) cells exhibit the traits of both T and NK cells. Although their roles have been well studied in humans and mice, limited knowledge is available regarding their roles in dogs and pigs, which serve as models for human immunology. Single-cell RNA sequencing (scRNA-Seq) can elucidate NKT cell functions. However, identifying cells in mixed populations, like peripheral blood mononuclear cells (PBMCs) is challenging using this technique. This study presented the application of one-dimensional convolutional neural network (1DCNN) for the identification of NKT cells within scRNA-seq data derived from PBMCs.

Materials and Methods

We used human scRNA-Seq data to train a 1DCNN model for cross-species identification of NKT cells in canine and porcine PBMC datasets. K-means clustering was used to isolate human NKT cells for training the 1DCNN model. The trained model predicted NKT cell subpopulations in PBMCs from all species. We performed Differential gene expression and Gene Ontology (GO) enrichment analyses to assess shared gene functions across species.

Results

We successfully trained the 1DCNN model on human scRNA-Seq data, achieving 99.3% accuracy, and successfully identified NKT cell candidates in human, canine, and porcine PBMC datasets using the model. Across species, these NKT cells shared 344 genes with significantly elevated expression (FDR ≤ 0.001). GO term enrichment analyses confirmed the association of these genes with the immunoactivity of NKT cells.

Conclusion

This study developed a 1DCNN model for cross-species NKT cell identification and identified conserved immune function genes. The approach has broad implications for identifying other cell types in comparative immunology, and future studies are needed to validate these findings.

ATN-161 alleviates caerulein-induced pancreatitis

Pancreatitis is a common gastrointestinal disorder that causes hospitalization with significant morbidity and mortality. The mechanistic pathophysiology of pancreatitis is complicated, limiting the discovery of pharmacological intervention methods. Here, we show that the administration of ATN-161, an antagonist of Integrin-α5, significantly mitigates the pathological condition of acute pancreatitis induced by caerulein. We find that CK19-positive pancreatic ductal cells align parallel to blood vessels in the pancreas. In the caerulein-induced acute pancreatitis model, the newly emergent CK19-positive cells are highly vascularized, with a significant increase in vascular density and endothelial cell number. Single-cell RNA sequencing analysis shows that ductal and endothelial cells are intimate interacting partners, suggesting the existence of a ductal-endothelial interface in the pancreas. Pancreatitis dramatically reduces the crosstalk in the ductal-endothelial interface but promotes the Spp-1/Integrin-α5 signaling. Blocking this signaling with ATN-161 significantly reduces acinar-to-ductal metaplasia, pathological angiogenesis, and restores other abnormal defects induced by caerulein. Our work reveals the therapeutic potential of ATN-161 as an uncharacterized pharmacological method to alleviate the symptoms of pancreatitis.

Integrating Mendelian randomization and single-cell RNA sequencing to identify therapeutic targets of baicalin for type 2 diabetes mellitus

Background

Alternative and complementary therapies play an imperative role in the clinical management of Type 2 diabetes mellitus (T2DM), and exploring and utilizing natural products from a genetic perspective may yield novel insights into the mechanisms and interventions of the disorder.

Methods

To identify the therapeutic target of baicalin for T2DM, we conducted a Mendelian randomization study. Druggable targets of baicalin were obtained by integrating multiple databases, and target-associated cis-expression quantitative trait loci (cis-eQTL) originated from the eQTLGen consortium. Summary statistics for T2DM were derived from two independent genome-wide association studies available through the DIAGRAM Consortium (74,124 cases vs. 824,006 controls) and the FinnGen R9 repository (9,978 cases vs. 12,348 controls). Network construction and enrichment analysis were applied to the therapeutic targets of baicalin. Colocalization analysis was utilized to assess the potential for the therapeutic targets and T2DM to share causative genetic variations. Molecular docking was performed to validate the potency of baicalin. Single-cell RNA sequencing was employed to seek evidence of therapeutic targets' involvement in islet function.

Results

Eight baicalin-related targets proved to be significant in the discovery and validation cohorts. Genetic evidence indicated the expression of ANPEP, BECN1, HNF1A, and ST6GAL1 increased the risk of T2DM, and the expression of PGF, RXRA, SREBF1, and USP7 decreased the risk of T2DM. In particular, SREBF1 has significant interaction properties with other therapeutic targets and is supported by strong colocalization. Baicalin had favorable combination activity with eight therapeutic targets. The expression patterns of the therapeutic targets were characterized in cellular clusters of pancreatic tissues that exhibited a pseudo-temporal dependence on islet cell formation and development.

Conclusion

This study identified eight potential targets of baicalin for treating T2DM from a genetic perspective, contributing an innovative analytical framework for the development of natural products. We have offered fresh insights into the connections between therapeutic targets and islet cells. Further, fundamental experiments and clinical research are warranted to delve deeper into the molecular mechanisms of T2DM.

Unbiasedly decoding the tumor microenvironment with single-cell multiomics analysis in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a poor prognosis and limited therapeutic options. Research on the tumor microenvironment (TME) of PDAC has propelled the development of immunotherapeutic and targeted therapeutic strategies with a promising future. The emergence of single-cell sequencing and mass spectrometry technologies, coupled with spatial omics, has collectively revealed the heterogeneity of the TME from a multiomics perspective, outlined the development trajectories of cell lineages, and revealed important functions of previously underrated myeloid cells and tumor stroma cells. Concurrently, these findings necessitated more refined annotations of biological functions at the cell cluster or single-cell level. Precise identification of all cell clusters is urgently needed to determine whether they have been investigated adequately and to identify target cell clusters with antitumor potential, design compatible treatment strategies, and determine treatment resistance. Here, we summarize recent research on the PDAC TME at the single-cell multiomics level, with an unbiased focus on the functions and potential classification bases of every cellular component within the TME, and look forward to the prospects of integrating single-cell multiomics data and retrospectively reusing bulk sequencing data, hoping to provide new insights into the PDAC TME.

High-throughput N-glycan analysis in aging and inflammaging: State of the art and future directions

As the global population ages at an unprecedented rate, the prevalence of age-related diseases is increasing, making inflammaging - a phenomenon characterized by a chronic, low-grade inflammatory state that follows aging - a significant concern. Understanding the mechanisms of inflammaging and its impact on health is critical for developing strategies to improve the quality of life and manage health in the aging population. Despite their crucial roles in various biological processes, including immune response modulation, N-glycans, oligosaccharides covalently attached to many proteins, are often overlooked in clinical and research studies. This repeated oversight is largely due to their inherent complexity and the complexity of the analysis methods. High-throughput N-glycan analysis has emerged as a transformative tool in N-glycosylation research, enabling cost- and time-effective, detailed, and large-scale examination of N-glycan profiles. This paper is the first to explore the application of high-throughput N-glycomics techniques to investigate the complex interplay between N-glycosylation and the immune system in aging. Technological advancements have significantly improved Nglycan detection and characterization, providing insights into age-related changes in Nglycosylation. Key findings highlight consistent shifts in immunoglobulin G (IgG) and plasma/serum glycoprotein glycosylation with age, with a pronounced rise in agalactosylated structures bound to IgG that also affect the composition of the total plasma N-glycome. These N-glycan modifications seem to be strongly associated with inflammaging and have been identified as valuable biomarkers for biological age, predictors of disease risk, and proxy biomarkers for monitoring intervention efficacy at the individual level. Despite current challenges related to data complexity and methodological limitations, ongoing technological innovations and interdisciplinary research are expected tofurther advance our knowledge of glycan biology, improve diagnostic and therapeutic strategies, and promote healthier aging. The integration of glycomics with other omics approaches holds promise for a more comprehensive understanding of the aging immune system, paving the way for personalized medicine and targeted interventions to mitigate inflammaging. In conclusion, this paper underscores the transformative impact of high-throughput Nglycan analysis in aging and inflammaging.

Cell of Origin of Pancreatic cancer: Novel Findings and Current Understanding

ABSTRACT

Pancreatic ductal adenocarcinoma (PDAC) stands as one of the most lethal diseases globally, boasting a grim 5-year survival prognosis. The origin cell and the molecular signaling pathways that drive PDAC progression are not entirely understood. This review comprehensively outlines the categorization of PDAC and its precursor lesions, expounds on the creation and utility of genetically engineered mouse models used in PDAC research, compiles a roster of commonly used markers for pancreatic progenitors, duct cells, and acinar cells, and briefly addresses the mechanisms involved in the progression of PDAC. We acknowledge the value of precise markers and suitable tracing tools to discern the cell of origin, as it can facilitate the creation of more effective models for PDAC exploration. These conclusions shed light on our existing understanding of foundational genetically engineered mouse models and focus on the origin and development of PDAC.

Tissue-specific Cre driver mice to study vascular diseases

Vascular diseases, including atherosclerosis and abdominal aneurysms, are the primary cause of mortality and morbidity among the elderly worldwide. The life quality of patients is significantly compromised due to inadequate therapeutic approaches and limited drug targets. To expand our comprehension of vascular diseases, gene knockout (KO) mice, especially conditional knockout (cKO) mice, are widely used for investigating gene function and mechanisms of action. The Cre-loxP system is the most common method for generating cKO mice. Numerous Cre driver mice have been established to study the main cell types that compose blood vessels, including endothelial cells, smooth muscle cells, and fibroblasts. Here, we first discuss the characteristics of each layer of the arterial wall. Next, we provide an overview of the representative Cre driver mice utilized for each of the major cell types in the vessel wall and their most recent applications in vascular biology. We then go over Cre toxicity and discuss the practical methods for minimizing Cre interference in experimental outcomes. Finally, we look into the future of tissue-specific Cre drivers by introducing the revolutionary single-cell RNA sequencing and dual recombinase system.

Perfect duet: Dual recombinases improve genetic resolution

As a powerful genetic tool, site-specific recombinases (SSRs) have been widely used in genomic manipulation to elucidate cell fate plasticity in vivo, advancing research in stem cell and regeneration medicine. However, the low resolution of conventional single-recombinase-mediated lineage tracing strategies, which rely heavily on the specificity of one marker gene, has led to controversial conclusions in many scientific questions. Therefore, different SSRs systems are combined to improve the accuracy of lineage tracing. Here we review the recent advances in dual-recombinase-mediated genetic approaches, including the development of novel genetic recombination technologies and their applications in cell differentiation, proliferation, and genetic manipulation. In comparison with the single-recombinase system, we also discuss the advantages of dual-genetic strategies in solving scientific issues as well as their technical limitations.

Changes in Pancreatic Senescence Mediate Pancreatic Diseases

In recent years, there has been a significant increase in age-related diseases due to the improvement in life expectancy worldwide. The pancreas undergoes various morphological and pathological changes with aging, such as pancreatic atrophy, fatty degeneration, fibrosis, inflammatory cell infiltration, and exocrine pancreatic metaplasia. Meanwhile, these may predispose the individuals to aging-related diseases, such as diabetes, dyspepsia, pancreatic ductal adenocarcinoma, and pancreatitis, as the endocrine and exocrine functions of the pancreas are significantly affected by aging. Pancreatic senescence is associated with various underlying factors including genetic damage, DNA methylation, endoplasmic reticulum (ER) stress, mitochondrial dysfunction, and inflammation. This paper reviews the alternations of morphologies and functions in the aging pancreas, especially β-cells, closely related to insulin secretion. Finally, we summarize the mechanisms of pancreatic senescence to provide potential targets for treating pancreatic aging-related diseases.