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Background: Tumor-associated macrophages (TAM) exert a significant influence on the progression and heterogeneity of various subtypes of breast cancer (BRCA). However, the roles of heterogeneous TAM within BRCA subtypes remain unclear. Therefore, this study sought to elucidate the role of TAM across the following three BRCA subtypes: triple-negative breast cancer, luminal, and HER2. Materials and methods: This investigation aimed to delineate the variations in marker genes, drug sensitivity, and cellular communication among TAM across the three BRCA subtypes. We identified specific ligand-receptor (L-R) pairs and downstream mechanisms regulated by VEGFA-VEGFR1, SPP1-CD44, and SPP1-ITGB1 L-R pairs. Experimental verification of these pairs was conducted by co-culturing macrophages with three subtypes of BRCA cells. Results: Our findings reveal the heterogeneity of macrophages within the three BRCA subtypes, evidenced by variations in marker gene expression, composition, and functional characteristics. Notably, heterogeneous TAM were found to promote invasive migration and epithelial-mesenchymal transition (EMT) in MDA-MB-231, MCF-7, and SKBR3 cells, activating NF-κB pathway via P38 MAPK, TGF-β1, and AKT, respectively, through distinct VEGFA-VEGFR1, SPP1-CD44, and SPP1-ITGB1 L-R pairs. Inhibition of these specific L-R pairs effectively reversed EMT, migration, and invasion of each cancer cells. Furthermore, we observed a correlation between ligand gene expression and TAM sensitivity to anticancer drugs, suggesting a potential strategy for optimizing personalized treatment guidance. Conclusion: Our study highlights the capacity of heterogeneous TAM to modulate biological functions via distinct pathways mediated by specific L-R pairs within diverse BRCA subtypes. This study might provide insights into precision immunotherapy of different subtypes of BRCA. [ABSTRACT FROM AUTHOR]

The infrastructure to support human societies' safety, health, and utility supply can not be negotiated, and to have basic reliability in monitoring tasks, plural or dual surveillance, rooted in biologic senses, is needed. To fit the contemporary wireless communication, MIMO (multi-in multi-out) being incorporated with suggested network prototypes, aimed especially on the naturally bipartite Honeycomb Tori (HT) for cellular communications, to prevent information loss, interference, unexpected changes caused by such as clogged water. The mutually independent Hamiltonian Path (MIHP) property can be used for parallel processing and supporting cipher coding to offer efficiency, integrity, and privacy. Isomorphism between Honeycomb Tori and Generalized Honeycomb Tori (GHT) is utilized; mathematical HT(m) m ≥ 2 can be presented as GHT (m, 6m, 3m). Setting rational configurations, incremental scalability qualifying, it is proved that GHT (m, n, n/2) "even m, n ≥ 12" and "odd m > 1, n ≥ 10," which naturally include full Honeycomb Tori, can have a property dual MIHP. [ABSTRACT FROM AUTHOR]

Testicular tumors represent the most common malignancy among young men. Nevertheless, the pathogenesis and molecular underpinning of testicular tumors remain largely elusive. We aimed to delineate the intricate intra‐tumoral heterogeneity and the network of intercellular communication within the tumor microenvironment. A total of 40,760 single‐cell transcriptomes were analyzed, encompassing samples from six individuals with seminomas, two patients with mixed germ cell tumors, one patient with a Leydig cell tumor, and three healthy donors. Five distinct malignant subclusters were identified in the constructed landscape. Among them, malignant 1 and 3 subclusters were associated with a more immunosuppressive state and displayed worse disease‐free survival. Further analysis identified that APP–CD74 interactions were significantly strengthened between malignant 1 and 3 subclusters and 14 types of immune subpopulations. In addition, we established an aberrant spermatogenesis trajectory and delineated the global gene alterations of somatic cells in seminoma testes. Sertoli cells were identified as the somatic cell type that differed the most from healthy donors to seminoma testes. Cellular communication between spermatogonial stem cells and Sertoli cells is disturbed in seminoma testes. Our study delineates the intra‐tumoral heterogeneity and the tumor immune microenvironment in testicular tumors, offering novel insights for targeted therapy. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

Background: Lung cancer, including the major subtype lung adenocarcinoma (LUAD), is the leading cause of cancer deaths worldwide, largely due to metastasis. Improving survival rates requires new treatment strategies and a deeper understanding of the mechanisms that drive tumor progression within the tumor microenvironment (TME). This study investigated the impact of extracellular vesicles (EVs) derived from LUAD cells on lung fibroblasts. Methods: EVs were isolated from LUAD cell lines via ultracentrifugation and characterized using nanoparticle tracking analysis and Western blotting. Lung fibroblasts were treated with PBS, TGFβ, or EVs, and their activation was assessed through protein (Western blotting) and RNA analyses (RNA seq and RT-qPCR). Results: The results confirmed the TGFβ induced activation and showed that LUAD EVs could also activate fibroblasts, increasing cancer-associated fibroblast (CAF) markers. While EV-induced CAF activation displayed unique features, like an increase in proliferation-related genes, the EV and TGFβ treatments also shared some differentially expressed genes. The EV groups induced a higher expression of ECM remodeling and EMT-associated genes, but some of those genes were also upregulated in the TGFβ group. Mesenchymal genes POSTN and SPOCK1 were significantly upregulated in TGFβ- and EV-treated fibroblasts. Their secretion as proteins from the TGFβ- and EV-induced CAFs was not significant, confirmed through ELISA. Conclusions: These findings suggest that LUAD EVs play a role in CAF activation through both shared and distinct pathways compared to canonical TGFβ activation, potentially identifying novel gene expressions involved in CAF activation. Additionally, optimal protein secretion conditions of confirmed CAF-upregulated genes need to be established to determine their contribution to the TME. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to identify genetic biomarkers and cellular communications associated with severe asthma in microarray data sets and single cell data sets. The potential gene expression levels were verified in a mouse model of asthma.Methods: We identified differentially expressed genes from the microarray datasets (GSE130499 and GSE63142) of severe asthma, and then constructed models to screen the most relevant biomarkers to severe asthma by machine learning algorithms (LASSO and SVM-RFE), with further validation of the results by GSE43696. Single-cell datasets (GSE193816 and GSE227744) were identified for potential biomarker-specific expression and intercellular communication. Finally, The expression levels of potential biomarkers were verified with a mouse model of asthma.Results: The 73 genes were differentially expressed between severe asthma and normal control. LASSO and SVM-RFE recognized three genes BCL3, DDIT4 and S100A14 as biomarkers of severe asthma and had good diagnostic effect. Among them, BCL3 transcript level was down-regulated in severe asthma, while S100A14 and DDIT4 transcript levels were up-regulated. The transcript levels of the three genes were confirmed in the mouse model. Infiltration of neutrophils and mast cells were found to be increased in severe asthma and may be associated with bronchial epithelial cells through BMP and NRG signalingConclusions: We identified three differentially expressed genes (BCL3, DDIT4 and S100A14) of diagnostic significance that may be involved in the development of severe asthma and these gene expressions could be serviced as biomarker of severe asthma and investigating the function roles could bring new insights into the underlying mechanisms [ABSTRACT FROM AUTHOR]

The heart is the central organ of the circulatory system, and its proper development is vital to maintain human life. As fetal heart development is complex and poorly understood, we use single-cell RNA sequencing to profile the gene expression landscapes of human fetal hearts from the four-time points: 8, 10, 11, 17 gestational weeks (GW8, GW10, GW11, GW17), and identified 11 major types of cells: erythroid cells, fibroblasts, heart endothelial cells, ventricular cardiomyocytes, atrial cardiomyocytes, macrophage, DCs, smooth muscle, pericytes, neural cells, schwann cells. In addition, we identified a series of differentially expressed genes and signaling pathways in each cell type between different gestational weeks. Notably, we found that ANNEXIN, MIF, PTN, GRN signalling pathways were simple and fewer intercellular connections in GW8, however, they were significantly more complex and had more intercellular communication in GW10, GW11, and GW17. Notably, the interaction strength of OSM signalling pathways was gradually decreased during this period of time (from GW8 to GW17). Together, in this study, we presented a comprehensive and clear description of the differentiation processes of all the main cell types in the human fetal hearts, which may provide information and reference data for heart regeneration and heart disease treatment. [Display omitted] • Gene expression map of human fetal hearts from the four-time points were identified. • Dynamic alteration of cell subpopulations and gene expression during heart development. • ANNEXIN, MIF, PTN, GRN, OSM signalling pathways are crucial in heart development. [ABSTRACT FROM AUTHOR]

Background: Protein tyrosine phosphatase non‐receptor type 7 (PTPN7) is a signaling molecule that regulates a multitude of cellular processes, spanning cell proliferation, cellular differentiation, the mitotic cycle, and oncogenic metamorphosis. However, the characteristic of PTPN7 in the glioma microenvironment has yet to be elucidated. Methods: The prognostic value, genomic features, immune characteristics, chemotherapy prediction, and immunotherapy prediction of PTPN7 were systematically explored at the bulk sequencing level. The cell evolution trajectory, cell communication pattern, and cell metabolic activity related to PTPN7 were systematically explored at the single‐cell sequencing level. HMC3 and M0 cells were cocultured with U251 and T98G cells, and flow cytometry was carried out to investigate the polarization of HMC3 and M0. Transwell assay and CCK‐8 assay were performed to explore the migration and proliferation activity of U251 and T98G. Results: The expression level of PTPN7 is significantly elevated in glioma and indicates malignant features. PTPN7 expression predicts worse prognosis of glioma patients. PTPN7 is associated with genome alteration and immune infiltration. Besides, PTPN7 plays a crucial role in modulating metabolic and immunogenic processes, particularly by influencing the activity of microglia and macrophages through multiple signaling pathways involved in cellular communication. Specifically, PTPN7 actively mediates inflammation‐resolving‐polarization of macrophages and microglia and protects glioma from immune attack. PTPN7 could also predict the response of immunotherapy. Conclusions: PTPN7 is critically involved in inflammation‐resolving‐polarization mediated by macrophage and microglia and promotes the immune escape of glioma cells. [ABSTRACT FROM AUTHOR]

Extracellular vesicles (EVs) are nanometer-sized lipid bilayer vesicles released by cells, playing a crucial role in mediating cellular communication. This review evaluates the effect of EVs on early embryonic development in vitro by systematically searching the literature across three databases, Embase, PubMed, and Scopus, from inception (Embase, 1947; PubMed, 1996; and Scopus, 2004) to 30 June 2024. A total of 28 studies were considered relevant and included in this review. The EVs included in these investigations have been recovered from a range of sources, including oviduct fluid, follicular fluid, uterine fluid, seminal plasma, embryos, oviduct epithelial cells, endometrial epithelial cells, amniotic cells, and endometrial-derived mesenchymal stem cells collected primarily from mice, rabbits, cattle and pigs. This diversity in EV sources highlights the broad interest and potential applications of EVs in embryo culture systems. These studies have demonstrated that supplementation with EVs derived from physiologically normal biofluids and cells to the embryo culture medium system has positive effects on embryonic development. Conversely, EVs derived from cells under pathological conditions have shown a negative impact. This finding underscores the importance of the source and condition of EVs used in culture media. Further, the addition of EVs as a culture medium supplement holds significant therapeutic potential for optimizing in vitro embryo culture systems. In conclusion, this evaluation offers a thorough assessment of the available data on the role of EVs in embryo culture media and highlights the potential and challenges of using EVs in vitro embryo production. [ABSTRACT FROM AUTHOR]

Abstract Membranous nephropathy (MN) is a leading cause of nephrotic syndrome in adults and is associated with high rates of end-stage renal disease. Early detection and precise interventions are crucial for improving patient prognosis and quality of life. However, the current diagnosis primarily relies on renal biopsies and traditional biomarkers, which have limitations. Additionally, targeted therapeutic strategies are lacking. Exosomes, small vesicles that facilitate intercellular communication, have emerged as potential noninvasive diagnostic markers due to their stability, diverse cargo, and rapid detectability. They also hold promise as carriers for gene and drug delivery, presenting innovative opportunities in renal disease prognosis and treatment. However, research on exosomes in the context of idiopathic membranous nephropathy (IMN) remains limited, with a focus on exploring urinary exosomes as IMN markers. In this review, we summarize the current status of MN diagnosis and treatment, highlight the fundamental characteristics of exosomes, and discuss recent advancements in their application to IMN diagnosis and therapy. We provide insights into the clinical prospects of exosomes in IMN and acknowledge potential challenges. This article aims to offer forward-looking insights into the future of exosome-mediated IMN diagnosis and treatment, indicating a revolutionary transformation in this field. Graphical Abstract

Designing and assembling artificial cells (ACs) is a core direction in bottom‐up synthetic biology. Here, the advancements in the past 3 years in engineering ACs with focus on compartmentalization and surface modifications with the aim for their integration in semi‐synthetic tissue are outlined. Compartmentalization in vesicles, coacervates and hydrogels are discussed for encapsulated catalysis or cytoskeleton formation including the use of components of mammalian cells to increase the ACs' complexity. Following on, the surface modification of the ACs is reviewed due to its relevance when integration of ACs with mammalian cells into semi‐synthetic tissue is the goal. Finally, the interaction of ACs and mammalian cells for cellular communication or the fabrication of semi‐synthetic tissue toward therapeutic opportunities is outlined, before a short perspective is provided. [ABSTRACT FROM AUTHOR]

Objective To investigate the antigen presentation characteristics of dendritic cells (DC) and B cells in cardiac grafts. Methods The heart of BALB/c mice was transplanted into the abdominal cavity of C57BL/6J mice. CD45+ cells in the heart graft were extracted and sorted by flow cytometry at postoperative 5 d, and single cell RNA sequencing was performed. Taking DC and B cell subsets in cardiac grafts as the main study cells, the changing trend, antigen presenting ability and intercellular communication with T cells after heart transplantation were analyzed by bioinformatics analysis and flow cytometry. Gene ontology (GO) function enrichment difference analysis was adopted to prove the specific function and the reliability annotation of cell subsets. Results Germinal center-like B cell (GC-L B) was the B cell subset with the largest increase in quantity during the acute rejection phase, accounting for 87%. Classical DC (cDC) 2 was the only DC subset with a significant increase in quantity during acute rejection of heart transplantation, accounting for 44% of DC subset, and it occupied the highest communication intensity with T cells after heart transplantation. Mononucleated DC (moDC) and memory B cell (MBC) were the main transmitters of T cell input signals in nontransplanted hearts, whereas transformed into cDC2 and GC-L B during the acute rejection phase. Among them, MBC and GC-L B were the main sources of T cell input signals in non-transplanted hearts and heart grafts. Conclusions Compared with DC, B cells occupy a higher number and weight in the intercellular communication with T cells in non-transplanted hearts and heart grafts, prompting that the antigen presenting activity of B cells is more active and stronger than DC in the early stage of acute rejection of heart transplantation. [ABSTRACT FROM AUTHOR]

Membranous nephropathy (MN) is a leading cause of nephrotic syndrome in adults and is associated with high rates of end-stage renal disease. Early detection and precise interventions are crucial for improving patient prognosis and quality of life. However, the current diagnosis primarily relies on renal biopsies and traditional biomarkers, which have limitations. Additionally, targeted therapeutic strategies are lacking. Exosomes, small vesicles that facilitate intercellular communication, have emerged as potential noninvasive diagnostic markers due to their stability, diverse cargo, and rapid detectability. They also hold promise as carriers for gene and drug delivery, presenting innovative opportunities in renal disease prognosis and treatment. However, research on exosomes in the context of idiopathic membranous nephropathy (IMN) remains limited, with a focus on exploring urinary exosomes as IMN markers. In this review, we summarize the current status of MN diagnosis and treatment, highlight the fundamental characteristics of exosomes, and discuss recent advancements in their application to IMN diagnosis and therapy. We provide insights into the clinical prospects of exosomes in IMN and acknowledge potential challenges. This article aims to offer forward-looking insights into the future of exosome-mediated IMN diagnosis and treatment, indicating a revolutionary transformation in this field. [ABSTRACT FROM AUTHOR]

Urban air mobility (UAM) using electric vertical take-off and landing (eVTOL) technology can revolutionise travel in congested urban areas by reducing cost and time. Implementing UAM in Malaysia requires a collaborative framework involving aviation authorities, local governments and technology providers to establish standardised protocols. Cellular networks used in UAM are crucial for beyond visual line of sight (BVLOS) operations due to their extensive range and seamless transitions. This study examines cellular data quality in selected rural areas to enable the adaptation and scaling of technologies to urban settings, providing a framework for UAM deployment. The research involves evaluating signal strength and quality at altitudes of 0, 50, and 100 m for three network providers (Digi, Celcom, and Maxis). The results show that while signal strength increases with altitude due to reduced line-of-sight blockage, signal quality can decrease due to interference. Specifically, Digi performed best at the ground level, Maxis at 50 m, and Celcom at 100 m. These insights into performance variations and limitations in rural areas allow for optimised adaptations in urban environments. The study demonstrates acceptable network handovers and overall network performance, supporting further exploration of cellular network technology for UAM operations in Malaysia. [ABSTRACT FROM AUTHOR]

ObjectiveTo construct a single-cell transcriptomic map of testicular tissue under hypobaric hypoxia exposure and perform diversity analysis of supportive cells, aiming to provide new insights into the mechanisms of reproductive toxicity for future research.MethodsTwenty healthy male mice were randomly divided into a control group (n=10) and a hypobaric hypoxia group (n=10). The control group was raised under normal conditions, while the hypobaric hypoxia group was exposed to a low-pressure hypoxic environment(pressure=14 kPa, oxygen content=14.5%). After 6 weeks, testicular tissue from both groups of mice was collected, and the transcriptomic map was obtained using the Singleron MatrixTM single-cell platform and Illumina NovaSeq second-generation sequencing technology. Clustering, pseudo-temporal trajectory analysis, functional analysis, transcription factor and cellular communication research were conducted.ResultsA single-cell transcriptomic map of testicular tissue was successfully constructed, including 6 samples with a total of approximately 49 027 cells covering 11 cell types. Supportive cells were clustered into 4 subgroups using non-negative matrix factorization algorithm. Subgroup 3 may be more sensitive to hypoxic stimulation and could reduce reproductive cell function damage caused by hypobaric hypoxia by affecting PTN expression levels and regulating the cell cycle of spermatogonia. The PTN-PTPR pathway may be an important regulatory node for supportive cells to regulate spermatogonia. Subgroup 4 could regulate the cell cycle of spermatogonia after exposure to hypobaric hypoxia through the KITLG-KIT signaling pathway, thus affecting sperm development.ConclusionsBased on single-cell sequencing technology, the molecular basis and regulatory signals of supportive cells under hypobaric hypoxia exposure is revealed for the first time. It provides an in-depth exploration of the mechanisms of reproductive toxicity induced by hypobaric hypoxia at the single-cell level, offering a new perspective for future clinical research in this field.

Background: Cellular communication and signaling pathways are fundamental regulators of stem cell and cancer cell behaviors. This review explores the intricate interplay of these pathways in governing cellular behaviors, focusing on their implications for diseases, particularly cancer. Objectives: This comprehensive review aims to elucidate the significance of cellular signaling pathways in regulating the behavior of stem cells and cancer cells. It delves into the alterations in these pathways, their impact on cell fate, and their implications for developing diseases, notably cancer. The objective is to underscore the importance of understanding these signaling pathways for developing targeted therapeutic strategies. Methods: The review critically analyzes existing literature and research findings concerning the roles of signaling pathways in stem cell behavior regulation, emphasizing their parallels and disparities in cancer cells. It synthesizes information on both direct and indirect modes of cell communication to delineate the complexity of signaling networks. Results: Direct and indirect modes of cell communication intricately regulate the complex signaling pathways governing stem cell behaviors, influencing differentiation potential and tissue regeneration. Alterations in these pathways significantly impact stem cell fate, contributing to disease pathogenesis, including cancer. Understanding these signaling cascades offers insights into developing targeted therapies, particularly cancer treatment. Conclusion: Understanding the regulation of signaling pathways in stem cells and the specialized subset of cancer stem cells holds promise for innovative therapeutic approaches. By targeting aberrant signaling pathways, tailored interventions may improve treatment outcomes. This review underscores the critical role of signaling pathways in cellular behaviors, offering a pathway toward developing novel, more effective therapies for diverse diseases and disorders. [ABSTRACT FROM AUTHOR]

Uncovering the immune response to an inactivated SARS‐CoV‐2 vaccine (In‐Vac) and natural infection is crucial for comprehending COVID‐19 immunology. Here we conducted an integrated analysis of single‐cell RNA sequencing (scRNA‐seq) data from serial peripheral blood mononuclear cell (PBMC) samples derived from 12 individuals receiving In‐Vac compared with those from COVID‐19 patients. Our study reveals that In‐Vac induces subtle immunological changes in PBMC, including cell proportions and transcriptomes, compared with profound changes for natural infection. In‐Vac modestly upregulates IFN‐α but downregulates NF‐κB pathways, while natural infection triggers hyperactive IFN‐α and NF‐κB pathways. Both In‐Vac and natural infection alter T/B cell receptor repertoires, but COVID‐19 has more significant change in preferential VJ gene, indicating a vigorous immune response. Our study reveals distinct patterns of cellular communications, including a selective activation of IL‐15RA/IL‐15 receptor pathway after In‐Vac boost, suggesting its potential role in enhancing In‐Vac‐induced immunity. Collectively, our study illuminates multifaceted immune responses to In‐Vac and natural infection, providing insights for optimizing SARS‐CoV‐2 vaccine efficacy. [ABSTRACT FROM AUTHOR]

Objective·To use single-cell RNA sequencing (scRNA-Seq) technology to interpret the cellular communication landscape of coronary atherosclerosis (CA), and to explore the dominant cell subsets and their key genes.Methods·The GSE131778 data set was downloaded and preprocessed, and quality controlling, dimension reduction clustering and annotation were carried out. Then cell communication analysis was conducted by using CellChat package to identify dominant cell subsets. The FindAllMarker function was used to screen differentially expressed genes (DEGs) between the dominant cell subpopulation and other cell subpopulations, and its protein-protein interaction (PPI) network was constructed. The DEGs ranked in the top five of the Degree algorithm were taken as key genes. Then, the key genes were matched and mined with the cell communication network analyzed by CellChat to obtain the ligand-receptor pairs (L-R) and the signal pathways mediated by the key genes, and the results were visualized. At the same time, the atherosclerosis mouse model was constructed and RT-PCR was used to detect the expression of key genes in carotid atherosclerosis lesions.Results·A total of 11 cell subsets were identified in CA lesions, including smooth muscle cells, endothelial cells, macrophages, monocytes, etc. Cell communication results showed that CellChat detected 70 significant L-R and 26 related signal pathways in 11 cell subsets. Smooth muscle cell was the dominant cell subgroup with the most significant interaction frequency and intensity with other cell subgroups in the active state of communication. The results of DEGs screening showed that there were 206 DEGs between smooth muscle cell subsets and other cell subsets, among which ITGB2, PTPRC, CCL2, DCN and IGF1 were identified as key genes. The results of cell communication mediated by key genes showed that CCL2 and ACKR1 formed L-R and participated in the communication network between smooth muscle cells and endothelial cells through mediating CCL signaling pathway. ITGB2 formed receptor complexes with ITGAM and ITGAX respectively, and then formed L-R with C3 to mediate the complement signal pathway, participating in the communication network among smooth muscle cells, macrophages and monocytes. The validation results of hub genes in animal experiments were consistent with the results of bioinformatics analysis.Conclusion·Smooth muscle cells are the dominant cells in the pathological process of CA, and have extensive communication networks with other cells. They can construct cellular communication networks with endothelial cells, macrophages and monocytes through CCL and complement signaling pathways mediated by CCL2-ACKR1, C3-(ITGAM+ITGB2) and C3-(ITGAX+ITGB2).

Na+/K+-ATPase is a transmembrane protein that has important roles in the maintenance of electrochemical gradients across cell membranes by transporting three Na+ out of and two K+ into cells. Additionally, Na+/K+-ATPase participates in Ca2+-signaling transduction and neurotransmitter release by coordinating the ion concentration gradient across the cell membrane. Na+/K+-ATPase works synergistically with multiple ion channels in the cell membrane to form a dynamic network of ion homeostatic regulation and affects cellular communication by regulating chemical signals and the ion balance among different types of cells. Therefore, it is not surprising that Na+/K+-ATPase dysfunction has emerged as a risk factor for a variety of neurological diseases. However, published studies have so far only elucidated the important roles of Na+/K+-ATPase dysfunction in disease development, and we are lacking detailed mechanisms to clarify how Na+/K+-ATPase affects cell function. Our recent studies revealed that membrane loss of Na+/K+-ATPase is a key mechanism in many neurological disorders, particularly stroke and Parkinson’s disease. Stabilization of plasma membrane Na+/K+-ATPase with an antibody is a novel strategy to treat these diseases. For this reason, Na+/K+-ATPase acts not only as a simple ion pump but also as a sensor/regulator or cytoprotective protein, participating in signal transduction such as neuronal autophagy and apoptosis, and glial cell migration. Thus, the present review attempts to summarize the novel biological functions of Na+/K+-ATPase and Na+/K+-ATPase-related pathogenesis. The potential for novel strategies to treat Na+/K+-ATPase-related brain diseases will also be discussed.

Background: Lung cancer, including the major subtype lung adenocarcinoma (LUAD), is the leading cause of cancer deaths worldwide, largely due to metastasis. Improving survival rates requires new treatment strategies and a deeper understanding of the mechanisms that drive tumor progression within the tumor microenvironment (TME). This study investigated the impact of extracellular vesicles (EVs) derived from LUAD cells on lung fibroblasts. Methods: EVs were isolated from LUAD cell lines via ultracentrifugation and characterized using nanoparticle tracking analysis and Western blotting. Lung fibroblasts were treated with PBS, TGFβ, or EVs, and their activation was assessed through protein (Western blotting) and RNA analyses (RNA seq and RT-qPCR). Results: The results confirmed the TGFβ induced activation and showed that LUAD EVs could also activate fibroblasts, increasing cancer-associated fibroblast (CAF) markers. While EV-induced CAF activation displayed unique features, like an increase in proliferation-related genes, the EV and TGFβ treatments also shared some differentially expressed genes. The EV groups induced a higher expression of ECM remodeling and EMT-associated genes, but some of those genes were also upregulated in the TGFβ group. Mesenchymal genes POSTN and SPOCK1 were significantly upregulated in TGFβ- and EV-treated fibroblasts. Their secretion as proteins from the TGFβ- and EV-induced CAFs was not significant, confirmed through ELISA. Conclusions: These findings suggest that LUAD EVs play a role in CAF activation through both shared and distinct pathways compared to canonical TGFβ activation, potentially identifying novel gene expressions involved in CAF activation. Additionally, optimal protein secretion conditions of confirmed CAF-upregulated genes need to be established to determine their contribution to the TME.

Tunneling nanotubes (TNTs) are fine, nanometer-sized membrane connections between distant cells that provide an efficient communication tool for cellular organization. TNTs are thought to play a critical role in cellular behavior, particularly in cancer cells. The treatment of aggressive cancers such as glioblastoma remains challenging due to their high potential for developing therapy resistance, high infiltration rates, uncontrolled cell growth, and other aggressive features. A better understanding of the cellular organization via cellular communication through TNTs could help to find new therapeutic approaches. In this study, we investigate the properties of TNTs in two glioblastoma cell lines, U87 MG and LN229, including measurements of their diameter by high-resolution live-cell stimulated emission depletion (STED) microscopy and an analysis of their length, morphology, lifetime, and formation by live-cell confocal microscopy. In addition, we discuss how these fine compounds can ideally be studied microscopically. In particular, we show which membrane-labeling method is suitable for studying TNTs in glioblastoma cells and demonstrate that live-cell studies should be preferred to explore the role of TNTs in cellular behavior. Our observations on TNT formation in glioblastoma cells suggest that TNTs could be involved in cell migration and serve as guidance. [ABSTRACT FROM AUTHOR]

In this paper, we present a highly linear direct in-phase/quadrature (I/Q) up-conversion mixer for 5G millimeter-wave applications. To enhance the linearity of the mixer, we propose a complementary derivative superposition technique with pre-distortion. The proposed up-conversion mixer consists of a quadrature generator, LO buffer amplifiers, and an I/Q up-conversion mixer core and achieves an output third-order intercept point of 15.7 dBm and an output 1 dB compression point of 2 dBm at 27.6 GHz, while it consumes 15 mW at a supply voltage of 1 V. The conversion gain is 11.4 dB and the LO leakage and image rejection ratio are −56 dBc and 61 dB, respectively, in the measurement. The proposed I/Q up-conversion mixer is suitable for 5G cellular communication systems. [ABSTRACT FROM AUTHOR]

To use single-cell RNA sequencing (scRNA-Seq) technology to interpret the cellular communication landscape of coronary atherosclerosis (CA), and to explore the dominant cell subsets and their key genes. Methods. The GSE131778 data set was downloaded and preprocessed, and quality controlling, dimension reduction clustering and annotation were carried out. Then cell communication analysis was conducted by using CellChat package to identify dominant cell subsets. The FindAllMarker function was used to screen differentially expressed genes (DEGs) between the dominant cell subpopulation and other cell subpopulations, and its protein-protein interaction (PPI) network was constructed. The DEGs ranked in the top five of the Degree algorithm were taken as key genes. Then, the key genes were matched and mined with the cell communication network analyzed by CellChat to obtain the ligand-receptor pairs (L-R) and the signal pathways mediated by the key genes, and the results were visualized. At the same time, the atherosclerosis mouse model was constructed and RT-PCR was used to detect the expression of key genes in carotid atherosclerosis lesions. Results A total of II cell subsets were identified in CA lesions, including smooth muscle cells, endothelial cells, macrophages, monocytes, etc. Cell communication results showed that CellChat detected 70 significant L-R and 26 related signal pathways in 11 cell subsets. Smooth muscle cell was the dominant cell subgroup with the most significant interaction frequency and intensity with other cell subgroups in the active state of communication. The results of DEGs screening showed that there were 206 DEGs between smooth muscle cell subsets and other cell subsets, among which 17GB2, PTPRC, CCL2, DCN and IGFI were identified as key genes. The results of cell communication mediated by key genes showed that CCL2 und ACKR1 formed L-R and participated in the communication network between smooth muscle cells and endothelial cells through mediating CCL. signaling pathway. ITGB2 formed receptor complexes with ITGAM and ITGAX respectively, and then formed L-R with C3 to mediate the complement signal pathway, participating in the communication network aming smooth muscle cells, macrophages and monocytes. The validation results of hub genes in animal experiments were consistent with the results of bioinformatics analysis. Conclusion Smooth muscle cells are the dominant cells in the pathological process of CA, and have extensive communication networks with other cells. They can construct cellular communication networks with endothelial cells, macrophages and monocytes through CCL. and complement signaling pathways mediated by CCL2-ACKRI, C3-(ITGAM+ITGB2) and C3-(ITGAX-ITGB2). [ABSTRACT FROM AUTHOR]

Abstract As societal aging intensifies, senile osteoporosis has become a global public health concern. Bone microdamage is mainly caused by processes such as enhancing osteoclast activity or reducing bone formation by osteoblast-lineage cells. Compared with young individuals, extracellular vesicles derived from senescent bone marrow mesenchymal stem cells(BMSCs) increase the transient differentiation of bone marrow monocytes (BMMs) to osteoclasts, ultimately leading to osteoporosis and metal implant failure. To address this daunting problem, an exosome-targeted orthopedic implant composed of a nutrient coating was developed. A high-zinc atmosphere used as a local microenvironmental cue not only could inhibit the bone resorption by inhibiting osteoclasts but also could induce the reprogramming of senile osteogenesis and osteoclast dialogue by exosome modification. Bidirectional regulation of intercellular communication via cargoes, including microRNAs carried by exosomes, was detected. Loss- and gain-of-function experiments demonstrated that the key regulator miR-146b-5p regulates the protein kinase B/mammalian target of rapamycin pathway by targeting the catalytic subunit gene of PI3K–PIK3CB. In vivo evaluation using a naturally-aged osteoporotic rat femoral defect model further confirmed that a nutrient coating substantially augments cancellous bone remodeling and osseointegration by regulating local BMMs differentiation. Altogether, this study not only reveals the close link between senescent stem cell communication and age-related osteoporosis but also provides a novel orthopedic implant for elderly patients with exosome modulation capability.

Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary tract with a high lethality rate, and its immunotherapy resistance and tumor recurrence have become a major challenge in its clinical treatment. G Protein-Coupled Receptors (GPRs) are the largest family of receptors on the cell membrane surface, involved in multiple signaling pathways, and are excellent targets for oncology drug action. The transcriptome profile, single cell transcriptome profile, and clinical data of BLCA were extracted and integrated from TCGA and GEO databases, respectively. The GPR-related genes were obtained from GSEA-MSigDB database. The GPR-related gene signatures of 15 genes were constructed by using the methods of least absolute shrinkage and selection operator regression, multifactor Cox model. At the same time, tumor microenvironment (TME)-score signatures were constructed based on the immune microenvironment of BLCA, and GPR-TME-score signature was further constructed. The stability of this model was verified by using the external dataset GSE160693. We constructed risk groups by combining BLCA patient prognostic information, and with the help of BLCA scRNA transcriptome profiling, we explored differences in prognosis, immune scores, cell–cell interactions, tumor mutational burden, immune checkpoints, and response to immunotherapy in each risk group. We found that the GPR-TME-score signature was an independent prognostic factor for BLCA patients. the TME-score was a protective factor for the prognosis of BLCA patients. Among BLCA patients, GPR-high + TME-low risk group had the worst prognosis, while GPR-high + TME-high risk group had the best prognosis, and the latter had better immune score and immunotherapy response. The above differences in immune response among the subgroups may be related to the higher immune cell infiltration in the GPR-high + TME-high group. GPR-related gene signatures and TME are closely related to BLCA prognosis and immunotherapy, and GPR-related gene signature can be a useful tool to assess BLCA prognosis and immunotherapy response.

Nowadays, cellular applications rule the digital world with their betterment. However, security is the primary concern for a better communication range during the communication process. If the messages are hacked, data overhead and collisions occur. So, the present research work has aimed to design the novel Buffalo-based Autoencoder Security Framework (BbASF) developed in the Orthogonal-Frequency-Division- Multiplexing (OFDM) channel. Consequently, the function of the designed model is checked with the Denial of Service (DoS)-CICIDS dataset. The planned model is tested in the python environment. After that, the communication parameters were validated and compared with other schemes. The presented approach has earned the finest outcome in all performance assessments than the compared models. Furthermore, it has reduced the packet loss to the desired level, 2.2e-6. In addition, the presented novel BbASF is good at forecasting malicious behavior; it has earned the best attack detection score of 99.6%. Hence, the present model efficiently predicts malicious features and enriches communication facilities. [ABSTRACT FROM AUTHOR]

It is well established that cells, tissues, and organisms exposed to low doses of ionizing radiation can induce effects in non-irradiated neighbors (non-targeted effects or NTE), but the mechanisms remain unclear. This is especially true of the initial steps leading to the release of signaling molecules contained in exosomes. Voltage-gated ion channels, photon emissions, and calcium fluxes are all involved but the precise sequence of events is not yet known. We identified what may be a quantum entanglement type of effect and this prompted us to consider whether aspects of quantum biology such as tunneling and entanglement may underlie the initial events leading to NTE. We review the field where it may be relevant to ionizing radiation processes. These include NTE, low-dose hyper-radiosensitivity, hormesis, and the adaptive response. Finally, we present a possible quantum biological-based model for NTE. [ABSTRACT FROM AUTHOR]

Cells have evolved their communication methods to sense their microenvironments and send biological signals. In addition to communication using ligands and receptors, cells use diverse channels including gap junctions to communicate with their immediate neighbors. Current approaches, however, cannot effectively capture the influence of various microenvironments. Here, we propose a novel approach to investigate cell neighbor‐dependent gene expression (CellNeighborEX) in spatial transcriptomics (ST) data. To categorize cells based on their microenvironment, CellNeighborEX uses direct cell location or the mixture of transcriptome from multiple cells depending on ST technologies. For each cell type, CellNeighborEX identifies diverse gene sets associated with partnering cell types, providing further insight. We found that cells express different genes depending on their neighboring cell types in various tissues including mouse embryos, brain, and liver cancer. Those genes are associated with critical biological processes such as development or metastases. We further validated that gene expression is induced by neighboring partners via spatial visualization. The neighbor‐dependent gene expression suggests new potential genes involved in cell–cell interactions beyond what ligand‐receptor co‐expression can discover. Synopsis: CellNeighborEX is a computational tool for exploring transcriptomic changes caused by direct cell contact in spatial transcriptomics data. CellNeighborEX provides a new perspective on cellular communication between two adjacent cells.CellNeighborEX identifies neighbor‐dependent genes in spatial transcriptomics data.CellNeighborEX presents new genes potentially involved in cell‐cell interactions, going beyond previous approaches that use ligand‐receptor pairs.Analyses with CellNeighborEX show that niche‐specific gene expression accounts for cellular heterogeneity. [ABSTRACT FROM AUTHOR]

Following their discovery at the end of the 20th century, extracellular vesicles (EVs) ranging from 50-1,000 nm have proven to be paramount in the progression of many cancers, including hematological malignancies. EVs are a heterogeneous group of cell-derived membranous structures that include small EVs (commonly called exosomes) and large EVs (microparticles). They have been demonstrated to participate in multiple physiological and pathological processes by allowing exchange of biological material (including among others proteins, DNA and RNA) between cells. They are therefore a crucial way of intercellular communication. In this context, malignant cells can release these extracellular vesicles that can influence their microenvironment, induce the formation of a tumorigenic niche, and prepare and establish distant niches facilitating metastasis by significantly impacting the phenotypes of surrounding cells and turning them toward supportive roles. In addition, EVs are also able to manipulate the immune response and to establish an immunosuppressive microenvironment. This in turn allows for ideal conditions for heightened chemoresistance and increased disease burden. Here, we review the latest findings and reports studying the effects and therapeutic potential of extracellular vesicles in various hematological malignancies. The study of extracellular vesicles remains in its infancy; however, rapid advances in the analysis of these vesicles in the context of disease allow us to envision prospects to improve the detection and treatment of hematological malignancies. [ABSTRACT FROM AUTHOR]

Neoplasms are one of the most concerned public health problems worldwide. Digestive system neoplasms, with a high morbidity and mortality, is one of the most common malignant tumors in human being. It is found that exosomes act as an intercellular communication media to carry the metabolic and genetic information of parental cells to target cells. Likely, exosomes participate in lipid metabolism and regulates multiple processes in digestive system neoplasms, including the information transmission among cancer cells, the formation of neoplastic microenvironment, and the neoplastic biological behaviors like metastasis, invasion, and the chemotherapy resistance. In this review, we firstly introduce the main mechanisms whereas exosomes act as intercellular lipometabolic communication mediator in digestive system neoplasms. Thereafter we introduce the relationship between exosomes lipid metabolism and various type of digestive system neoplasms, including gastric cancer, hepatocellular carcinoma, pancreatic cancer, and colorectal cancer. Eventually, we summarized and prospected the development and implication of exosomes in digestive system neoplasms. The further research of exosomes as intercellular lipid metabolism mediator will contribute to accurate and efficient diagnosis and treatment of digestive system neoplasms. [Display omitted] • Exosomes affect the development of digestive neoplasms through lipid metabolism. • Gastric cancer cell derived exo-lncFERO reduces the unsaturated fat in GCSCs. • Exosomes affect the lipid metabolism of HCC cell via miRNA signaling. • CRC cells-derived exosomes affect the development of CRC through lipid metabolism. [ABSTRACT FROM AUTHOR]

Abstract Background Neuronal networks receive and deliver information to regulate bodily functions while the vascular network provides oxygen, nutrients, and signaling molecules to tissues. Neurovascular interactions are vital for both tissue development and maintaining homeostasis in adulthood; these two network systems align and reciprocally communicate with one another. Although communication between network systems has been acknowledged, the lack of relevant in vitro models has hindered research at the mechanistic level. For example, the current used in vitro neurovascular models are typically established to be short-term (≤ 7 days) culture models, and they miss the supporting vascular mural cells. Methods In this study, we utilized human induced pluripotent stem cell (hiPSC) -derived neurons, fluorescence tagged human umbilical vein endothelial cells (HUVECs), and either human bone marrow or adipose stem/stromal cells (BMSCs or ASCs) as the mural cell types to create a novel 3D neurovascular network-on-a-chip model. Collagen 1–fibrin matrix was used to establish long-term (≥ 14 days) 3D cell culture in a perfusable microphysiological environment. Results Aprotinin-supplemented endothelial cell growth medium-2 (EGM-2) supported the simultaneous formation of neuronal networks, vascular structures, mural cell differentiation, and the stability of the 3D matrix. The formed neuronal and vascular networks were morphologically and functionally characterized. Neuronal networks supported vasculature formation based on direct cell contacts and by dramatically increasing the secretion of angiogenesis-related factors in multicultures in contrast to cocultures without neurons. Both utilized mural cell types supported the formation of neurovascular networks; however, the BMSCs seemed to boost neurovascular networks to greater extent. Conclusions Overall, our study provides a novel human neurovascular network model that is applicable for creating in vivo-like tissue models with intrinsic neurovascular interactions. The 3D neurovascular network model on chip forms an initial platform for the development of vascularized and innervated organ-on-chip and further body-on-chip concepts and offers the possibility for mechanistic studies on neurovascular communication both under healthy and in disease conditions. Video Abstract

Natural killer (NK) cells eliminate a large variety of tumor cells and abnormal cells. However, NK cells in the tumor microenvironment (TME) are often functionally depleted. A few subsets of NK cells even promote tumor growth. This study reviewed the biological properties of NK cells, the dynamic phenotypic changes of NK cells in the TME, and the communication between NK cells and other immune and nonimmune cells.

Artificial cells have received much attention in recent years as cell mimics with typical biological functions that can be adapted for therapeutic and diagnostic applications, as well as having an unlimited supply. Although remarkable progress has been made to construct complex multifunctional artificial cells, there are still significant differences between artificial cells and natural cells. It is therefore important to understand the techniques and challenges for the fabrication of artificial cells and their applications for further technological advancement. The key concepts of top-down and bottom-up methods for preparing artificial cells are summarized, and the advantages and disadvantages of the bottom-up methods are compared and critically discussed in this review. Potential applications of artificial cells as drug carriers (microcapsules), as signaling regulators for coordinating cellular communication and as bioreactors for biomolecule fabrication, are further discussed. The challenges and future trends for the development of artificial cells simulating the real activities of natural cells are finally described.

Single-cell transcriptome sequencing (scRNA-seq) is an unparalleled technology in the field of transcriptomics, which can study cells in a comprehensive and unbiased manner, thus characterizing complex biological processes at the cellular level. At the same time, scRNA-seq can produce a large amount of experimental data; therefore, the extraction of important information is required. In this review, we summarize the common applications of scRNA-seq analysis, such as of cellular communication, pseudo-timing, transcription factors, and functional enrichment, to mine cellular information and reveal the regulatory relationships between genes and trajectories of different cell lineages during development. We also describe the latest technological progress of scRNA-seq use in organoid, pathogenic gene variants, tumor tissues, stem cells, viruses, antibody preparation, and so on, in order to improve its applicability in future research in the life science field.

Abstract Cells have evolved their communication methods to sense their microenvironments and send biological signals. In addition to communication using ligands and receptors, cells use diverse channels including gap junctions to communicate with their immediate neighbors. Current approaches, however, cannot effectively capture the influence of various microenvironments. Here, we propose a novel approach to investigate cell neighbor‐dependent gene expression (CellNeighborEX) in spatial transcriptomics (ST) data. To categorize cells based on their microenvironment, CellNeighborEX uses direct cell location or the mixture of transcriptome from multiple cells depending on ST technologies. For each cell type, CellNeighborEX identifies diverse gene sets associated with partnering cell types, providing further insight. We found that cells express different genes depending on their neighboring cell types in various tissues including mouse embryos, brain, and liver cancer. Those genes are associated with critical biological processes such as development or metastases. We further validated that gene expression is induced by neighboring partners via spatial visualization. The neighbor‐dependent gene expression suggests new potential genes involved in cell–cell interactions beyond what ligand‐receptor co‐expression can discover.

RNA-binding proteins (RBPs) are essential for regulating RNA metabolism, stability, and translation within cells. Recent studies have shown that RBPs are not restricted to intracellular functions and can be found in extracellular vesicles (EVs) in different mammalian cells. EVs released by fungi contain a variety of proteins involved in RNA metabolism. These include RNA helicases, which play essential roles in RNA synthesis, folding, and degradation. Aminoacyl-tRNA synthetases, responsible for acetylating tRNA molecules, are also enriched in EVs, suggesting a possible link between these enzymes and tRNA fragments detected in EVs. Proteins with canonical RNA-binding domains interact with proteins and RNA, such as the RNA Recognition Motif (RRM), Zinc finger, and hnRNP K-homology (KH) domains. Polyadenylate-binding protein (PABP) plays a critical role in the regulation of gene expression by binding the poly(A) tail of messenger RNA (mRNA) and facilitating its translation, stability, and localization, making it a key factor in post-transcriptional control of gene expression. The presence of proteins related to the RNA life cycle in EVs from different fungal species suggests a conserved mechanism of EV cargo packing. Various models have been proposed for selecting RNA molecules for release into EVs. Still, the actual loading processes are unknown, and further molecular characterization of these proteins may provide insight into the mechanism of RNA sorting into EVs. This work reviews the current knowledge of RBPs and proteins related to RNA metabolism in EVs derived from distinct fungi species, and presents an analysis of proteomic datasets through GO term and orthology analysis, Our investigation identified orthologous proteins in fungal EVs on different fungal species. [ABSTRACT FROM AUTHOR]

As societal aging intensifies, senile osteoporosis has become a global public health concern. Bone microdamage is mainly caused by processes such as enhancing osteoclast activity or reducing bone formation by osteoblast-lineage cells. Compared with young individuals, extracellular vesicles derived from senescent bone marrow mesenchymal stem cells(BMSCs) increase the transient differentiation of bone marrow monocytes (BMMs) to osteoclasts, ultimately leading to osteoporosis and metal implant failure. To address this daunting problem, an exosome-targeted orthopedic implant composed of a nutrient coating was developed. A high-zinc atmosphere used as a local microenvironmental cue not only could inhibit the bone resorption by inhibiting osteoclasts but also could induce the reprogramming of senile osteogenesis and osteoclast dialogue by exosome modification. Bidirectional regulation of intercellular communication via cargoes, including microRNAs carried by exosomes, was detected. Loss- and gain-of-function experiments demonstrated that the key regulator miR-146b-5p regulates the protein kinase B/mammalian target of rapamycin pathway by targeting the catalytic subunit gene of PI3K–PIK3CB. In vivo evaluation using a naturally-aged osteoporotic rat femoral defect model further confirmed that a nutrient coating substantially augments cancellous bone remodeling and osseointegration by regulating local BMMs differentiation. Altogether, this study not only reveals the close link between senescent stem cell communication and age-related osteoporosis but also provides a novel orthopedic implant for elderly patients with exosome modulation capability. [ABSTRACT FROM AUTHOR]

BACKGROUND: Parkinson’s disease is the second largest neurodegenerative disease in the world. Both motor symptoms and non-motor symptoms seriously affect the daily life of patients. Recent studies have found that exosomes and the substances they carry are involved in the pathogenesis of Parkinson’s disease. It also mediates cell communication and can be used as a potential biomarker for Parkinson’s disease. OBJECTIVE: To explore the type and mechanism of exosome-mediated cell communication as a potential biomarker of Parkinson’s disease, to find a new target for early diagnosis and treatment, to slow down the pathogenesis of Parkinson’s disease and provide new ideas for its diagnosis and treatment. METHODS: The related articles included in PubMed, CNKI, WanFang, VIP, Web of Science, EMBASE, Cochrane, EBSCO, and SinoMed databases from January 1987 to August 2022 were searched by computer, and 76 English and 2 Chinese articles were finally included for inductive analysis. RESULTS AND CONCLUSION: (1) The exosomes transport substances to recipient cells or membrane surface through endocytosis and exocytosis membrane fusion to carry signaling factors and release them in the intercellular space and other means for the exchange of substances between cells. (2) Exosomes can participate in the pathological progress of Parkinson’s disease by mediating intercellular communication and information exchange and material transport, so they can be used as early biomarkers of Parkinson’s disease, help provide new diagnosis and treatment targets, and can be used as a diagnostic carrier for Parkinson’s disease in the future. (3) The exosomes participate in mechanism of the pathological development of Parkinson’s disease through intercellular transmission and substance transport and diffusion. The relationship between its main biomarkers and pathologic pathways is that in neurotoxicity, neuroinflammation, oxidative stress, autophagy and other processes mediated by exosomes α synuclein, exosomal microRNA can target Parkinson’s diseaserelated genes and participate in oxidative stress, and exosomal DJ-1 protein regulates the level of cellular oxidative stress and affects cytotoxicity. Leucine-rich repetitive kinase 2 of exosomes mediates the formation and accumulation of Lewy bodies and causes neurotoxicity. The above exosomes and their carrying substances can be used as the early stage of Parkinson’s disease biomarkers. (4) At present, there are few related researches on the biomarkers of Parkinson’s disease in exosomes, but the most representative and most widely used is exosome α-synuclein. Due to the large number and variety of exosomal microRNAs, the expression and role in Parkinson’s disease are not the same, and the research has been hot in the past two years. (5) At present, related research lacks corresponding clinical verification, so it can be used as a future research direction, and the research prospect is broad. Therefore, more potential biomarkers and their mechanisms of action need to be further verified and studied, so as to provide new targets for the early diagnosis and treatment of Parkinson’s disease. (6) The application of exosomes in the clinical diagnosis of Parkinson’s disease still has a lot of research space and development prospects. The application of exosome-mediated cell communication in the diagnosis and treatment of Parkinson’s disease based on clinical trials is the focus and urgent breaking point of future research. [ABSTRACT FROM AUTHOR]

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Cellular communication through biochemical signaling is fundamental to every biological activity. Investigating cell signaling diffusions across cell types can further help understand biological mechanisms. In recent years, this has become an important research topic as single-cell sequencing technologies have matured. However, cell signaling activities are spatially constrained, and single-cell data cannot provide spatial information for each cell. This issue may cause a high false discovery rate, and using spatially resolved transcriptomics data is necessary. On the other hand, as far as we know, most existing methods focus on providing an ad hoc measurement to estimate intercellular communication instead of relying on a statistical model. It is undeniable that descriptive statistics are straightforward and accessible, but a suitable statistical model can provide more accurate and reliable inference. In this way, we propose a generalized linear regression model to infer cellular communications from spatially resolved transcriptomics data, especially spot-based data. Our BAyesian Tweedie modeling of COMmunications (BATCOM) method estimates the communication scores between cell types with the consideration of their corresponding distances. Due to the properties of the regression model, BATCOM naturally provides the direction of the communication between cell types and the interaction of ligands and receptors that other approaches cannot offer. We conduct simulation studies to assess the performance under different scenarios. We also employ BATCOM in a real-data application and compare it with other existing algorithms. In summary, our innovative model can fill gaps in the inference of cell–cell communication and provide a robust and straightforward result. [ABSTRACT FROM AUTHOR]

The increasing demand for cellular communication channels calls for multichannel solutions. Using one antenna for each channel results in a high density of antennas at the compact cellular station front, which generates inter-channel interference. This may result in distractive interference and significant losses at the output and input of the channels. To overcome these drawbacks, we propose a technology that combines several channels into a single antenna. We implemented a frequency-tuned, multi-channel phase control system with a phase shifter connected to each channel, with low insertion loss and low return loss. The phase shifter is composed of an ultra-wideband coupler and a computer-controlled capacitor. To obtain low insertion loss of the phase shifter, typically 1.5 dB, we designed a planar tandem hybrid coupler for the desired frequency range. We used a capacitor bank of varactor diodes for frequency tuning. The capacitance of these diodes was controlled by the applied reverse bias voltage generated by a D/A converter. The control computer received the digital input to the converter through a serial communication line. The channels were simultaneously phase matched to minimize channel losses. We performed an extensive theoretical analysis of a multi-channel frequency combiner. Based on the simulation results, a three-channel multi-coupler was implemented. The high performance of the system was demonstrated experimentally.

The tumor microenvironment plays a crucial role in melanoma. In this study, the abundance of immune cells in melanoma samples was assessed and analyzed using single sample gene set enrichment analysis (ssGSEA), and the predictive value of immune cells was assessed using univariate COX regression analysis. The Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression analysis was applied to construct an immune cell risk score (ICRS) model with a high predictive value for identifying the immune profile of melanoma patients. The pathway enrichment between the different ICRS groups was also elucidated. Next, five hub genes for diagnosing the prognosis of melanoma were screened by two machine learning algorithms, LASSO and random forest. The distribution of hub genes in immune cells was analyzed on account of Single-cell RNA sequencing (scRNA-seq), and the interaction between genes and immune cells was elucidated by cellular communication. Ultimately, the ICRS model on account of two types of immune cells (Activated CD8 T cell and Immature B cell) was constructed and validated, which can determine melanoma prognosis. In addition, five hub genes were identified as potential therapeutic targets affecting the prognosis of melanoma patients.