Mesenchymal Fibroblasts Research Articles

Hypoxia-Induced Differences in the Expression of Pyruvate Dehydrogenase Kinase 1-Related Factors in the Renal Tissues and Renal Interstitial Fibroblast-like Cells of Yak (Bos Grunniens)

Hypoxia is one of the factors severely affect renal function, and, in severe cases, it can lead to renal fibrosis. Although much progress has been made in identifying the molecular mediators of fibrosis, the mechanisms that govern renal fibrosis remain unclear, and there have been no effective therapeutic anti-fibrotic strategies to date. Mammals exposed to low oxygen in the plateau environment for a long time are prone to high-altitude disease, while yaks have been living in the plateau for generations do not develop kidney fibrosis caused by low oxygen. It has been suggested that metabolic reprogramming occurs in renal fibrosis and that pyruvate dehydrogenase kinase 1 (PDK1) plays a crucial role in metabolic reprogramming as an important node between glycolysis and the tricarboxylic acid cycle. The aim of this study was to investigate the effects of hypoxia on the renal tissues and renal interstitial fibroblasts of yaks. We found that, at the tissue level, HIF-1α, PDK1, TGF-β1, Smad2, Smad3, and α-SMA were mainly distributed and expressed in tubular epithelial cells but were barely present in the renal mesenchymal fibroblasts of healthy cattle and yak kidneys. Anoptical density analysis showed that in healthy cattle kidneys, TGF-β1, Smad2, and Smad3 expression was significantly higher than in yak kidneys (p < 0.05), and HIF-1α and PDK1 expression was significantly lower than in yak kidneys (p < 0.05). The results at the protein and gene levels showed the same trend. At the cellular level, prolonged hypoxia significantly elevated PDK1 expression in the renal mesangial fibroblasts of cattle and yak kidneys compared with normoxia (p < 0.05) and was proportional to the degree of cellular fibrosis. However, PDK1 expression remained stable in yaks compared with renal interstitial fibroblast-like cells in cattle during the same hypoxic time period. At the same time, prolonged hypoxia also promoted changes in cellular phenotype, promoting the proliferation, activation, glucose consumption, lactate production, and anti-apoptosis in the both of cattle and yaks renal interstitial fibroblasts The differences in kidney structure and expression of PDK1 and HIF-1α in kidney tissue and renal interstitial fibroblasts induced by different oxygen concentrations suggest that there may be a regulatory relationship between yak kidney adaptation and hypoxic environment at high altitude. This provides strong support for the elucidation of the regulatory relationship between PDK1 and HIF-1α, as well as a new direction for the treatment or delay of hypoxic renal fibrosis; additionally, these findings provide a basis for further analysis of the molecular mechanism of hypoxia adaptation-related factors and the adaptation of yaks to plateau hypoxia.

Blockade of Src signaling prevented stemness gene expression and proliferation of patient-derived gastric cancer stem cells

ABSTRACT Objectives: Gastric cancer (GC) is one of the most malignant tumors. Mounting studies highlighted gastric cancer stem cells (GCSCs) were responsible for the failure of treatment due to recurrence and drug resistance of advanced GC. However, targeted therapy against GCSC for improving GC prognosis suffered from lack of suitable models and molecular targets in terms of personalized medicine. To address this issue, two patient-derived GC cell lines SD209 and SD292 with cancer stem cells (CSCs) such as phenotype were isolated for establishing targeted therapy aiming at critical metastatic signaling in GC. Materials and Methods: The primary patient-derived GCSCs were established from parts of GC tissues for characterization of stem cells (SCs) phenotype at both cellular and molecular levels. Western blot and Immunohistochemistry (IHC) were performed for identifying the deregulated signaling in GC tissue. Immunofluorescence was used for analyzing proliferating and SC markers in GCSC attached on fibroblast. Acridine orange and propidium iodide analyses were performed for the survival of GCSC in suspensions. Results: In the culture environments of both SD209 and SD292, a lot of mesenchymal fibroblasts spread and crowd together on which a lot of cell clumps, suspected as GCSC, were firmly attached. In the IHC analysis, the GCSC stemness genes CD44 and Ep-CAM increased in tumor tissues of SD209, whereas Nanog-1 and octamer-binding transcription factor 3 (OCT-3) increased in that of SD292. By immunofluorescent analysis of a proliferation marker Ki67, the growth of SD209 and SD292 on mesenchymal fibroblasts was found to be reduced by dasatinib, the inhibitor of the Src kinase whose activity was upregulated in tumor tissues of both GCs. Dasatinib also suppressed the expression of Nanog-1 and OCT-3 in SD292 attached on mesenchymal fibroblasts. Conclusion: This study may provide a base for targeted therapy against GCSCs/GCs progression in future preclinical/clinical settings.

Obesity-driven changes in breast tissue exhibit a pro-angiogenic extracellular matrix signature

Obesity has reached epidemic proportions in the United States, emerging as a risk factor for the onset of breast cancer and a harbinger of unfavorable outcomes [1–3]. Despite limited understanding of the precise mechanisms, both obesity and breast cancer are associated with extracellular matrix (ECM) rewiring [4–6]. Utilizing total breast tissue proteomics, we analyzed normal-weight (18.5 to < 25 kg/m2), overweight (25 to < 30 kg/m2), and obese (≥30 kg/m2) individuals to identify potential ECM modifying proteins for cancer development and acceleration. Obese individuals exhibited substantial ECM alterations, marked by increased basement membrane deposition, angiogenic signatures, and ECM-modifying proteins. Notably, the collagen IV crosslinking enzyme peroxidasin (PXDN) emerged as a potential mediator of the ECM changes in individuals with an elevated body mass index (BMI), strongly correlating with angiogenic and basement membrane signatures. Furthermore, glycan-binding proteins galectin-1 (LGALS1) and galectin-3 (LGALS3), which play crucial roles in matrix interactions and angiogenesis, also strongly correlate with ECM modifications. In breast cancer, elevated PXDN, LGALS1, and LGALS3 correlate with reduced relapse-free and distant-metastatic-free survival. These proteins were significantly associated with mesenchymal stromal cell markers, indicating adipocytes and fibroblasts may be the primary contributors of the obesity-related ECM changes. Our findings unveil a pro-angiogenic ECM signature in obese breast tissue, offering potential targets to inhibit breast cancer development and progression.

Abstract A044: Persistence of fetal splanchnic gene signature defines a tumor-restraining fibroblast subtype in pancreatic cancer

Abstract The pancreas is composed of the epithelial and mesenchymal cells. While mesenchymal fibroblasts are a minor component of the normal pancreas, fibroblast population expands drastically during tumorigenesis. In pancreatic ductal adenocarcinoma (PDAC), cancer associated fibroblasts (CAFs) play critical and complex roles in the tumor microenvironment. This study sought to define the origin, heterogeneity and function of pancreatic cancer associated fibroblasts. Recently we performed a series of lineage tracing studies in genetically engineered mouse models. This identified the splanchnic mesenchyme (a tissue layer adjacent to the developing fetal pancreatic epithelium) as the fetal origin of the adult pancreatic resident fibroblasts and pancreatic CAFs. Single cell transcriptomic analysis indicated persistent and dynamic gene expressions along the pancreatic mesenchymal trajectory during development, homeostasis, precancer and cancer. Intriguingly, we found that two splanchnic transcription factors, GATA6 and FOXF1, are expressed in only subsets of adult pancreatic fibroblasts in temporally and spatially distinct patterns. Similar patterns were observed in both mouse models and human patient samples. To determine the role of GATA6 in fibroblasts during tumorigenesis, we constructed a dual DNA recombinase mouse genetic model. DNA recombinase FlpO directs expression of an oncogene Kras (G12D mutation) and loss of a tumor suppressor p53 in pancreatic epithelial cells to induce spontaneous tumor formation in the pancreas, and DNA recombinase Cre deletes Gata6 specifically in fibroblasts. This fibroblast specific Gata6 deletion resulted in altered number and gene expression of CAFs as well as increased tumor burden in the pancreas. This suggests a non-cell autonomous function of GATA6 within CAFs to restrain pancreatic cancer progression. In summary, this study delineated a continuous cell trajectory of the mesenchymal lineage in the pancreas across different life stages. Additionally, this study provides evidence that persistent and selective gene expressions along the mesenchymal trajectory contributes to pancreatic CAF heterogeneity and such persistence may constitute an inherent host defense mechanism to restrain pancreatic cancer. The enhancement of this mechanism could be explored further for therapeutic benefits. Citation Format: Lu Han, Tom Walter, Joseph Beaudet, Caroline Everett, Gustavo Leone, Michael Ostrowski. Persistence of fetal splanchnic gene signature defines a tumor-restraining fibroblast subtype in pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr A044.

Aberrant activation of wound healing programs within the metastatic niche facilitates lung colonization by osteosarcoma cells.

Lung metastasis is responsible for nearly all deaths caused by osteosarcoma, the most common pediatric bone tumor. How malignant bone cells coerce the lung microenvironment to support metastatic growth is unclear. The purpose of this study is to identify metastasis-specific therapeutic vulnerabilities by delineating the cellular and molecular mechanisms underlying osteosarcoma lung metastatic niche formation. Using single-cell transcriptomics (scRNA-seq), we characterized genome- and tissue-wide molecular changes induced within lung tissues by disseminated osteosarcoma cells in both immunocompetent murine models of metastasis and patient samples. We confirmed transcriptomic findings at the protein level and determined spatial relationships with multi-parameter immunofluorescence and spatial transcriptomics. Based on these findings, we evaluated the ability of nintedanib, a kinase inhibitor used to treat patients with pulmonary fibrosis, to impair metastasis progression in both immunocompetent murine osteosarcoma and immunodeficient human xenograft models. Single-nucleus and spatial transcriptomics was used to perform molecular pharmacodynamic studies that define the effects of nintedanib on tumor and non-tumor cells within the metastatic microenvironment. Osteosarcoma cells induced acute alveolar epithelial injury upon lung dissemination. scRNA-seq demonstrated that the surrounding lung stroma adopts a chronic, non-resolving wound-healing phenotype similar to that seen in other models of lung injury. Accordingly, metastasis-associated lung demonstrated marked fibrosis, likely due to the accumulation of pathogenic, pro-fibrotic, partially differentiated epithelial intermediates and macrophages. Our data demonstrated that nintedanib prevented metastatic progression in multiple murine and human xenograft models by inhibiting osteosarcoma-induced fibrosis. Fibrosis represents a targetable vulnerability to block the progression of osteosarcoma lung metastasis. Our data support a model wherein interactions between osteosarcoma cells and epithelial cells create a pro-metastatic niche by inducing tumor deposition of extracellular matrix proteins such as fibronectin that is disrupted by the anti-fibrotic TKI nintedanib. Our data shed light on the non-cell autonomous effects of TKIs on metastasis and provide a roadmap for using single-cell and spatial transcriptomics to define the mechanism of action of TKI on metastases in animal models.

The fibroblast heterogeneity across keloid, normal and tumor samples from single-cell resolution.

Keloids are defined as a benign dermal fibroproliferative disorder, with excessive fibroblast proliferation, and excessive overproduction of collagen. Although the heterogeneity during keloid development has been extensively studied, the heterogeneity across different skin states is still unclear. So, a global comparison across skin states is needed. In this study, we collected samples from 5 states of skin, including melanoma, cutaneous squamous cell carcinoma, keloid skin, scar skin, and healthy control samples. The heterogeneity of cell types and subtypes was analyzed and compared across 5 states, and we observed significant differences among them. Our results showed a cancer-like fibroblast, which is not in normal samples, may play an important role in antigen processing and presentation. We also noticed that the mesenchymal fibroblast increased in keloid samples, which highly expressed POSTN. And POSTN may participate in epithelial-mesenchymal transition and collagen overexpression to promote keloid growth. These findings help to understand the alteration among different skin states and provide potential genetic basis for keloid therapies.

Identification of novel immune-related signatures for keloid diagnosis and treatment: insights from integrated bulk RNA-seq and scRNA-seq analysis

BackgroundKeloid is a disease characterized by proliferation of fibrous tissue after the healing of skin tissue, which seriously affects the daily life of patients. However, the clinical treatment of keloids still has limitations, that is, it is not effective in controlling keloids, resulting in a high recurrence rate. Thus, it is urgent to identify new signatures to improve the diagnosis and treatment of keloids.MethodBulk RNA seq and scRNA seq data were downloaded from the GEO database. First, we used WGCNA and MEGENA to co-identify keloid/immune-related DEGs. Subsequently, we used three machine learning algorithms (Randomforest, SVM-RFE, and LASSO) to identify hub immune-related genes of keloid (KHIGs) and investigated the heterogeneous expression of KHIGs during fibroblast subpopulation differentiation using scRNA-seq. Finally, we used HE and Masson staining, quantitative reverse transcription-PCR, western blotting, immunohistochemical, and Immunofluorescent assay to investigate the dysregulated expression and the mechanism of retinoic acid in keloids.ResultsIn the present study, we identified PTGFR, RBP5, and LIF as KHIGs and validated their diagnostic performance. Subsequently, we constructed a novel artificial neural network molecular diagnostic model based on the transcriptome pattern of KHIGs, which is expected to break through the current dilemma faced by molecular diagnosis of keloids in the clinic. Meanwhile, the constructed IG score can also effectively predict keloid risk, which provides a new strategy for keloid prevention. Additionally, we observed that KHIGs were also heterogeneously expressed in the constructed differentiation trajectories of fibroblast subtypes, which may affect the differentiation of fibroblast subtypes and thus lead to dysregulation of the immune microenvironment in keloids. Finally, we found that retinoic acid may treat or alleviate keloids by inhibiting RBP5 to differentiate pro-inflammatory fibroblasts (PIF) to mesenchymal fibroblasts (MF), which further reduces collagen secretion.ConclusionIn summary, the present study provides novel immune signatures (PTGFR, RBP5, and LIF) for keloid diagnosis and treatment, and identifies retinoic acid as potential anti-keloid drugs. More importantly, we provide a new perspective for understanding the interactions between different fibroblast subtypes in keloids and the remodeling of their immune microenvironment.

Requirement of Pdgfrα+ cells for calvarial bone repair.

Platelet-derived growth factor receptor α (PDGFRα) is often considered as a general marker of mesenchymal cells and fibroblasts, but also shows expression in a portion of osteoprogenitor cells. Within the skeleton, Pdgfrα+ mesenchymal cells have been identified in bone marrow and periosteum of long bones, where they play a crucial role in participating in fracture repair. A similar examination of Pdgfrα+ cells in calvarial bone healing has not been examined. Here, we utilize Pdgfrα-CreERTM;mT/mG reporter animals to examine the contribution of Pdgfrα+ mesenchymal cells to calvarial bone repair through histology and single-cell RNA sequencing (scRNA-Seq). Results showed that Pdgfrα+ mesenchymal cells are present in several cell clusters by scRNA-Seq, and by histology a dramatic increase in Pdgfrα+ cells populated the defect site at early timepoints to give rise to healed bone tissue overtime. Notably, diphtheria toxin-mediated ablation of Pdgfrα reporter+ cells resulted in significantly impaired calvarial bone healing. Our findings suggest that Pdgfrα-expressing cells within the calvarial niche play a critical role in the process of calvarial bone repair.

Comparison of Various Extraction Approaches for Optimized Preparation of Intracellular Metabolites from Human Mesenchymal Stem Cells and Fibroblasts for NMR-Based Study.

Metabolomics has proven to be a sensitive tool for monitoring biochemical processes in cell culture. It enables multi-analysis, clarifying the correlation between numerous metabolic pathways. Together with other analysis, it thus provides a global view of a cell's physiological state. A comprehensive analysis of molecular changes is also required in the case of mesenchymal stem cells (MSCs), which currently represent an essential portion of cells used in regenerative medicine. Reproducibility and correct measurement are closely connected to careful metabolite extraction, and sample preparation is always a critical point. Our study aimed to compare the efficiencies of four harvesting and six extraction methods. Several organic reagents (methanol, ethanol, acetonitrile, methanol-chloroform, MTBE) and harvesting approaches (trypsinization vs. scraping) were tested. We used untargeted nuclear magnetic resonance spectroscopy (NMR) to determine the most efficient method for the extraction of metabolites from human adherent cells, specifically human dermal fibroblasts adult (HDFa) and dental pulp stem cells (DPSCs). A comprehensive dataset of 29 identified and quantified metabolites were determined to possess statistically significant differences in the abundances of several metabolites when the cells were detached mechanically to organic solvent compared to when applying enzymes mainly in the classes of amino acids and peptides for both types of cells. Direct scraping to organic solvent is a method that yields higher abundances of determined metabolites. Extraction with the use of different polar reagents, 50% and 80% methanol, or acetonitrile, mostly showed the same quality. For both HDFa and DPSC cells, the MTBE method, methanol-chloroform, and 80% ethanol extractions showed higher extraction efficiency for the most identified and quantified metabolites Thus, preparation procedures provided a cell sample processing protocol that focuses on maximizing extraction yield. Our approach may be useful for large-scale comparative metabolomic studies of human mesenchymal stem cell samples.

Abstract 3031: Novel Therapeutic Approach In Diabetic Wound Healing Using Inducible Mesenchymal Stem Cell-derived Fibroblasts In A Unique Murine Model

Introduction: It is estimated that about 40 to 60 million people in the United States suffer from diabetic foot ulcers (DFUs), one of the most severe DM complications. A significant proportion of affected individuals undergo amputation and are exposed to high mortality risks. Stem cell-based therapies offer a promising therapeutic avenue for these patients. Fibroblasts hold a crucial role in wound healing and angiogenesis, and we further highlighted that activated Notch signaling in fibroblasts derived from diabetic wounds leads to dysregulated fibroblast function. In this study, the potential therapeutic outcomes from genetically modified fibroblasts derived from mesenchymal stem cells (MSC-DF) in treating DFU is assessed, utilizing a unique genetic mouse model. Methods: A fibroblast-specific and inducible diabetic murine model with triple-gene engineering was created via inducible intracellular Notch1 pathway activation (RosaN1IC/Col1a2-Cre/ERT/Leprdb). MSC-DFs harvested from 10-12 week old B6db/ ROSAN1I/ / Cola2-Cre/ERT (LLRRCc) donor mice were cultured in vitro with activation versus silencing of Notch 1 signaling. Recipient LLRRCc mice (8-12-week-old) underwent a 6mm excisional dorsal skin wound and subsequent local injection of 1x10^6 donor syngeneic activated or silenced GOF Notch1 -MSC-DFs (n= 5/group). Wound closure was monitored daily for 9 consecutive days post-injury, and tissue was obtained for histological sectioning. Results: GOF Notch1 -MSC-DFs were characterized by immunostaining based on expression of markers specific to fibroblasts and a panel of Notch signaling genes. LLRRCc murine subjects receiving silenced GOF Notch1 -MSC-DFs treatment (n=5) demonstrated faster rates of wound closure over activated GOF Notch1 -MSC-DFs (n=5) treated mice. Collagen deposition was more abundant in wounds treated with silenced GOF Notch1 -MSC-DFs. Conclusion: MSC-DF deactivated Notch1 signaling therapy improves the rate of wound healing in GOF Notch Diabetic mice. These promising outcomes demonstrate a potential role for this innovative stem cell-based therapy targeting Notch-1-modified MSC-DF in future clinical applications for DFU patients through restoration of impaired fibroblast function.

Generation of Human-induced Pluripotent Stem Cells Derived From Dermal Fibroblast of Schizophrenic Patients.

Schizophrenia (SCZ) is a psychiatric disorder caused by environmental, social, and genetic factors. This phenomenon is a severe neuropsychiatric disorder with a 1% worldwide prevalence. As SCZ is an exclusively human disorder, animal models cannot mimic SCZ pathophysiology. Thus, it is crucial to develop a novel human-based specific model of SCZ to elucidate mechanisms of the occurrence of the disease. In this regard, the aim of this study was reprogramming somatic cells to human-induced pluripotent stem cells (hiPSCs), with possible potency to transformed to specific neural stem cells. In the present study, we directly reprogrammed the isolated human ear dermal fibroblasts (HDFs) from schizophrenic patients into hiPSCs using some episomal agents in Matrigel-coated plates. The existence of pluripotency markers was confirmed by the immunocytochemistry (ICC) test and alkaline phosphatase protocol. We performed karyotype analysis to ensure the maintenance of the normal chromosomes. Analysis of colonies exhibited intense alkaline phosphatase engagement and Oct4, SSEA4, Nanog, and Tra-1-60. HiPSCs showed normal karyotypes and were potent to differentiate into ectoderm, endoderm, and mesoderm. This study showed human dermal mesenchymal fibroblasts taken from schizophrenic patients can be reprogrammed to hiPSCs, with potential to transformation to three germ layers with sufficient expression of relate molecular markers. This is the first steps to produce SCZ specific neural stem cells, which can be used in the assessment of cellular changes in schizophrenia and possible effects of antipsychotic agents. .

Revealing the pathogenesis of keloids based on the status: Active vs inactive.

Recently, the pathomechanisms of keloids have been extensively researched using transcriptomic analysis, but most studies did not consider the activity of keloids. We aimed to profile the transcriptomics of keloids according to their clinical activity and location within the keloid lesion, compared with normal and mature scars. Tissue samples were collected (keloid based on its activity (active and inactive), mature scar from keloid patients and normal scar (NS) from non-keloid patients). To reduce possible bias, all keloids assessed in this study had no treatment history and their location was limited to the upper chest or back. Multiomics assessment was performed by using single-cell RNA sequencing and multiplex immunofluorescence. Increased mesenchymal fibroblasts (FBs) was the main feature in keloid patients. Noticeably, the proportion of pro-inflammatory FBs was significantly increased in active keloids compared to inactive ones. To explore the nature of proinflammatory FBs, trajectory analysis was conducted and CCN family associated with mechanical stretch exhibited higher expression in active keloids. For vascular endothelial cells (VECs), the proportion of tip and immature cells increased in keloids compared to NS, especially at the periphery of active keloids. Also, keloid VECs highly expressed genes with characteristics of mesenchymal activation compared to NS, especially those from the active keloid center. Multiomics analysis demonstrated the distinct expression profile of active keloids. Clinically, these findings may provide the future appropriate directions for development of treatment modalities of keloids. Prevention of keloids could be possible by the suppression of mesenchymal activation between FBs and VECs and modulation of proinflammatory FBs may be the key to the control of active keloids.

The role of the fibroblast in Barrett's esophagus and esophageal adenocarcinoma.

Barrett's esophagus (BE) is the number one risk factor for developing esophageal adenocarcinoma (EAC), a deadly cancer with limited treatment options that has been increasing in incidence in the US. In this report, we discuss current studies on the role of mesenchyme and cancer-associated fibroblasts (CAFs) in BE and EAC, and we highlight translational prospects of targeting these cells. New insights through studies using single-cell RNA sequencing (sc-RNA seq) have revealed an important emerging role of the mesenchyme in developmental signaling and cancer initiation. BE and EAC share similar stromal gene expression, as functional classifications of nonepithelial cells in BE show a remarkable similarity to EAC CAFs. Several recent sc-RNA seq studies and novel organoid fibroblast co-culture systems have characterized the subgroups of fibroblasts in BE and EAC, and have shown that these cells can directly influence the epithelium to induce BE development and cancer progression. Targeting the CAFs in EAC with may be a promising novel therapeutic strategy. The fibroblasts in the surrounding mesenchyme may have a direct role in influencing altered epithelial plasticity during BE development and progression to EAC.

MSNSegNet: attention-based multi-shape nuclei instance segmentation in histopathology images.

In clinical research, the segmentation of irregularly shaped nuclei, particularly in mesenchymal areas like fibroblasts, is crucial yet often neglected. These irregular nuclei are significant for assessing tissue repair in immunotherapy, a process involving neovascularization and fibroblast proliferation. Proper segmentation of these nuclei is vital for evaluating immunotherapy's efficacy, as it provides insights into pathological features. However, the challenge lies in the pronounced curvature variations of these non-convex nuclei, making their segmentation more difficult than that of regular nuclei. In this work, we introduce an undefined task to segment nuclei with both regular and irregular morphology, namely multi-shape nuclei segmentation. We propose a proposal-based method to perform multi-shape nuclei segmentation. By leveraging the two-stage structure of the proposal-based method, a powerful refinement module with high computational costs can be selectively deployed only in local regions, improving segmentation accuracy without compromising computational efficiency. We introduce a novel self-attention module to refine features in proposals for the sake of effectiveness and efficiency in the second stage. The self-attention module improves segmentation performance by capturing long-range dependencies to assist in distinguishing the foreground from the background. In this process, similar features get high attention weights while dissimilar ones get low attention weights. In the first stage, we introduce a residual attention module and a semantic-aware module to accurately predict candidate proposals. The two modules capture more interpretable features and introduce additional supervision through semantic-aware loss. In addition, we construct a dataset with a proportion of non-convex nuclei compared with existing nuclei datasets, namely the multi-shape nuclei (MsN) dataset. Our MSNSegNet method demonstrates notable improvements across various metrics compared to the second-highest-scoring methods. For all nuclei, the score improved by approximately 1.66 , by about 2.15 , and by roughly 0.65 . For non-convex nuclei, which are crucial in clinical applications, our method's improved significantly by approximately 3.86 and by around 2.54 . These enhancements underscore the effectiveness of our approach on multi-shape nuclei segmentation, particularly in challenging scenarios involving irregularly shaped nuclei.

The pathogenesis of endometriosis and adenomyosis: insights from single-cell RNA sequencing†.

Endometriosis and adenomyosis are two similar gynecological diseases that are characterized by ectopic implantation and the growth of the endometrial tissue. Previous studies have reported that they share a common pathophysiology in some respects, such as a similar cellular composition and resistance to the progestogen of lesions, but their underlying mechanisms remain elusive. Emerging single-cell ribonucleic acid sequencing (scRNA-seq) technologies allow for the dissection of single-cell transcriptome mapping to reveal the etiology of diseases at the level of the individual cell. In this review, we summarized the published findings in research on scRNA-seq regarding the cellular components and molecular profiles of diverse lesions. They show that epithelial cell clusters may be the vital progenitors of endometriosis and adenomyosis. Subclusters of stromal cells, such as endometrial mesenchymal stem cells and fibroblasts, are also involved in the occurrence of endometriosis and adenomyosis, respectively. Moreover, CD8+ T cells, natural killer cells, and macrophages exhibit a deficiency in clearing the ectopic endometrial cells in the immune microenvironment of endometriosis. It seems that the immune responses are activated in adenomyosis. Understanding the immune characteristics of adenomyosis still needs further exploration. Finally, we discuss the application of findings from scRNA-seq for clinical diagnosis and treatment. This review provides fresh insights into the pathogenesis of endometriosis and adenomyosis as well as the therapeutic targets at the cellular level.

Comparison of Umbilical Cord Mesenchymal Stem Cells and Fibroblasts as Donor Nuclei for Handmade Cloning in Sheep Using a Single-Cell Transcriptome.

Oocytes are efficient at reprogramming terminally differentiated cells to a totipotent state. Nuclear transfer techniques can exploit this property to produce cloned animals. However, the overall efficiency is low. The use of umbilical cord mesenchymal stem cells (UC-MSCs) as donor nuclei may increase blastocyst rates, but the exact reasons for this remain unexplored. A single-cell transcriptomic approach was used to map the transcriptome profiles of eight-cell embryos that were in vitro-fertilized and handmade-cloned using umbilical cord mesenchymal stem cells and fibroblasts as nuclear donors. Differences were examined at the chromatin level, the level of differentially expressed genes, the level of histone modifications and the level of DNA methylation. This research provides critical information regarding the use of UC-MSCs as a preferred donor nucleus for nuclear transfer techniques. It also offers unique insights into the mechanism of cellular reprogramming.

Fusariotoxin-Induced Toxicity in Mesenchymal Stem Cells and Fibroblasts: A Comparison Between Differentiated and Undifferentiated Cells.

Humans are unknowingly exposed to mycotoxins through the consumption of plant-derived foods and processed products contaminated with these toxic compounds. In addition to agricultural losses, Fusarium toxins pose a threat to human health. However, the effects of fusariotoxins on the viability and proliferation of stem cells have not been fully explored. We investigated the cytotoxic effects of deoxynivalenol (DON) and B-trichothecene mix (MIX) on mesenchymal stem cells (MSCs) and the L929 fibroblast cell line. MSCs were isolated from the dental pulp tissue. The doubling time and viability of dental pulp stem cells (DPSCs) and L929 cells were determined using the MTT assay. The following doses of B-trichothecenes (0.25-16 µg/mL; 24 hours and 48 hours) were used to evaluate cytotoxicity. In addition, changes in the confluency-dependent response of DPSCs to DON toxicity were determined. Moreover, we investigated the effect of DON on cell death via acridine orange/ethidium bromide (AO/EB) double staining. A DON and MIX showed a dose- and time-dependent inhibitory effect on the proliferation of both cells. DPSCs exposed to DON for 48 hours (IC50 = 0.5 μg/mL) were found to be 16-fold more sensitive than L929 cells (IC50 = 8 μg/mL). Compared with a culture with 80% confluency, DPSCs from a 50% confluent culture were more sensitive to varying doses of DON (0.25-4 µg/mL, 24-48 hours). Moreover, AO/EB staining showed that treatment of DPSCs with DON led to a significant increase in cell death (17% for 2.4 µg/mL; 50% for 4.8 µg/mL). This study reveals that undifferentiated MSCs are significantly more sensitive to DON than differentiated somatic cells (L929). Given that humans are frequently exposed to these mycotoxins, our findings imply that prolonged exposure to them may also have harmful effects on cellular differentiation and embryonic development.

State transition and intercellular communication of synovial fibroblasts in response to chronic and acute shoulder injuries unveiled by single-cell transcriptomic analyses

ABSTRACT Purpose We aimed to investigate the heterogeneity of synovial fibroblasts and their potential to undergo cell state transitions at the resolution of single cells. Materials and Methods We employed the single-cell RNA sequencing (scRNA-seq) approach to comprehensively map the cellular landscape of the shoulder synovium in individuals with chronic rotator cuff tears (RCTs) and acute proximal humerus fractures (PHFs). Utilizing unbiased clustering analysis, we successfully identified distinct subpopulations of fibroblasts within the synovial environment. We utilized Monocle 3 to delineate the trajectory of synovial fibroblast state transition. And we used CellPhone DB v2.1.0 to predict cell-cell communication patterns within the synovial microenvironment. Results We identified eight main cell clusters in the shoulder synovium. Unbiased clustering analysis identified four synovial fibroblast subpopulations, with diverse biological functions associated with protein secretion, ECM remodeling, inflammation regulation and cell division. Lining, mesenchymal, pro-inflammatory and proliferative fibroblasts subsets were identified. Combining the results from StemID and characteristic gene features, mesenchymal fibroblasts exhibited characteristics of fibroblast progenitor cells. The trajectory of synovial fibroblast state transition showed a transition from mesenchymal to pro-inflammatory and lining phenotypes. In addition, the cross talk between fibroblast subclusters increased in degenerative shoulder diseases compared to acute trauma. Conclusion We successfully generated the scRNA-seq transcriptomic atlas of the shoulder synovium, which provides a comprehensive understanding of the heterogeneity of synovial fibroblasts, their potential to undergo state transitions, and their intercellular communication in the context of chronic degenerative and acute traumatic shoulder diseases.

Subconfluent ARPE-19 Cells Display Mesenchymal Cell-State Characteristics and Behave like Fibroblasts, Rather Than Epithelial Cells, in Experimental HCMV Infection Studies.

Human cytomegalovirus (HCMV) has a broad cellular tropism and epithelial cells are important physiological targets during infection. The retinal pigment epithelial cell line ARPE-19 has been used to model HCMV infection in epithelial cells for decades and remains a commonly used cell type for studying viral entry, replication, and the cellular response to infection. We previously found that ARPE-19 cells, despite being derived from an epithelial cell explant, express extremely low levels of canonical epithelial proteins, such as E-cadherin and EpCAM. Here, we perform comparative studies of ARPE-19 and additional epithelial cell lines with strong epithelial characteristics. We find that ARPE-19 cells cultured under subconfluent conditions resemble mesenchymal fibroblasts, rather than epithelial cells; this is consistent with previous studies showing that ARPE-19 cultures require extended periods of high confluency culture to maintain epithelial characteristics. By reanalyzing public gene expression data and using machine learning, we find evidence that ARPE-19 cultures maintained across many labs exhibit mesenchymal characteristics and that the majority of studies employing ARPE-19 use them in a mesenchymal state. Lastly, by performing experimental HCMV infections across mesenchymal and epithelial cell lines, we find that ARPE-19 cells behave like mesenchymal fibroblasts, producing logarithmic yields of cell-free infectious progeny, while cell lines with strong epithelial character exhibit an atypical infectious cycle and naturally restrict the production of cell-free progeny. Our work highlights important characteristics of the ARPE-19 cell line and suggests that subconfluent ARPE-19 cells may not be optimal for modeling epithelial infection with HCMV or other human viruses. It also suggests that HCMV biosynthesis and/or spread may occur quite differently in epithelial cells compared to mesenchymal cells. These differences could contribute to viral persistence or pathogenesis in epithelial tissues.

Single-cell RNA landscape of osteoimmune microenvironment in osteoporotic vertebral compression fracture and Kümmell's disease.

Background: Single-cell RNA sequencing (scRNA-seq) enables specific analysis of cell populations at single-cell resolution; however, there is still a lack of single-cell-level studies to characterize the dynamic and complex interactions between osteoporotic vertebral compression fractures (OVCFs) and Kümmell's disease (KD) in the osteoimmune microenvironment. In this study, we used scRNA-seq analysis to investigate the osteoimmune microenvironment and cellular composition in OVCFs and KD. Methods: ScRNA-seq was used to perform analysis of fractured vertebral bone tissues from one OVCF and one KD patients, and a total of 8,741 single cells were captured for single-cell transcriptomic analysis. The cellularity of human vertebral bone tissue was further analyzed using uniform manifold approximation and projection. Pseudo-time analysis and gene enrichment analysis revealed the biological function of cell fate and its counterparts. CellphoneDB was used to identify the interactions between bone cells and immune cells in the osteoimmune microenvironment of human vertebral bone tissue and their potential functions. Results: A cellular profile of the osteoimmune microenvironment of human vertebral bone tissue was established, including mesenchymal stem cells (MSCs), pericytes, myofibroblasts, fibroblasts, chondrocytes, endothelial cells (ECs), granulocytes, monocytes, T cells, B cells, plasma cells, mast cells, and early erythrocytes. MSCs play an immunoregulatory function and mediate osteogenic differentiation and cell proliferation. The differentiation trajectory of osteoclasts in human vertebral bone tissue was also revealed. In addition, ECs actively participate in inflammatory infiltration and coupling with bone cells. T and B cells actively participate in regulating bone homeostasis. Finally, by identifying the interaction of ligand-receptor pairs, we found that immune cells and osteoclasts have bidirectional regulatory characteristics, have the effects of regulating bone resorption by osteoclasts and promoting bone formation, and are essential for bone homeostasis. It is also highlighted that CD8-TEM cells and osteoclasts might crosstalk via CD160-TNFRSF14 ligand-receptor interaction. Conclusion: Our analysis reveals a differential landscape of molecular pathways, population composition, and cell-cell interactions during OVCF development into KD. OVCFs exhibit a higher osteogenic differentiation capacity, owing to abundant immune cells. Conversely, KD results in greater bone resorption than bone formation due to depletion of MSCs and a relatively suppressed immune system, and this immune imbalance eventually leads to vertebral avascular necrosis. The site of action between immune cells and osteoclasts is expected to be a new therapeutic target, and these results may accelerate mechanistic and functional studies of osteoimmune cell types and specific gene action in vertebral avascular necrosis and pathological bone loss diseases, paving the way for drug discovery.