The genetic source tracking of human urinary exosomes

The genetic origins of nanoscale extracellular vesicles in our body fluids remains unclear. Here, we perform a tracking analysis of urinary exosomes via RNA sequencing, revealing that urine exosomes mostly express tissue-specific genes for the bladder and have close cell-genetic relationships to the endothelial cell, basal cell, monocyte, and dendritic cell. Tracking the differentially expressed genes of cancers and corresponding enrichment analysis show urine exosomes are intensively involved in immune activities, indicating that they may be harnessed as reliable biomarkers of noninvasive liquid biopsy in cancer genomic diagnostics and precision medicine.

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Expression of CD31/PECAM-1 (Platelet Endothelial Cell Adhesion Molecule 1) by Blastic Plasmacytoid Dendritic Cell Neoplasms

JAMA Dermatology ◽

10.1001/jamadermatol.2013.7141 ◽

2014 ◽

Vol 150 (1) ◽

pp. 73 ◽

Cited By ~ 7

Author(s):

Katrin A. Salva ◽

Anna K. Haemel ◽

Laura B. Pincus ◽

Jing Liu ◽

Uma Sundram ◽

...

Keyword(s):

Cell Adhesion ◽

Endothelial Cell ◽

Dendritic Cell ◽

Adhesion Molecule ◽

Cell Adhesion Molecule ◽

Plasmacytoid Dendritic Cell ◽

Endothelial Cell Adhesion Molecule ◽

Platelet Endothelial Cell Adhesion ◽

Cell Adhesion Molecule 1 ◽

Endothelial Cell Adhesion

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Author response: High-endothelial cell-derived S1P regulates dendritic cell localization and vascular integrity in the lymph node

10.7554/elife.41239.018 ◽

2019 ◽

Author(s):

Szandor Simmons ◽

Naoko Sasaki ◽

Eiji Umemoto ◽

Yutaka Uchida ◽

Shigetomo Fukuhara ◽

...

Keyword(s):

Lymph Node ◽

Endothelial Cell ◽

Dendritic Cell ◽

Author Response ◽

Vascular Integrity ◽

Cell Localization

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Age-Dependent Transcriptional Alterations in Cardiac Endothelial Cells

Physiological Genomics ◽

10.1152/physiolgenomics.00037.2021 ◽

2021 ◽

Author(s):

Uchenna Emechebe ◽

Jonathan William Nelson ◽

Nabil J. Alkayed ◽

Sanjiv Kaul ◽

Andrew C Adey ◽

...

Keyword(s):

Endothelial Cells ◽

Endothelial Cell ◽

Single Cell ◽

Significant Risk ◽

Enrichment Analysis ◽

Gene Set Enrichment Analysis ◽

Mouse Heart ◽

Age Related ◽

Organ Systems ◽

Transcriptional Alterations

Aging is a significant risk factor for cardiovascular disease. Despite the fact that endothelial cells play critical roles in cardiovascular function and disease, the molecular impact of aging on this cell population in many organ systems remains unknown. In this study, we sought to determine age-associated transcriptional alterations in cardiac endothelial cells. Highly enriched populations of endothelial cells (ECs) isolated from the heart, brain and kidney of young (3 months) and aged (24 months) C57/BL6 mice were profiled for RNA expression via bulk RNA sequencing. Approximately 700 cardiac endothelial transcripts significantly differ by age. Gene set enrichment analysis indicated similar patterns for cellular pathway perturbations. Receptor-ligand comparisons indicated parallel alterations in age-affected circulating factors and cardiac endothelial-expressed receptors. Single-cell RNA-seq analysis identified 9 distinct endothelial cell subtypes in the heart with an age-associated population shift observed for the Aplnr-enriched endothelial cell clusters. Gene and pathway enrichment analyses show that age-related transcriptional response of cardiac endothelial cells is distinct from that of endothelial cells derived from the brain or kidney vascular bed. Furthermore, single-cell analysis identified 9 distinct EC subtypes, and shows that the Aplnr-enriched subtype is reduced with age in mouse heart. Finally, we identify age-dysregulated genes in specific aged cardiac endothelial subtypes.

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High UBE2T mRNA expression and its prognostic significance in Ovarian cancer: a study based on data mining

10.21203/rs.2.22375/v1 ◽

2020 ◽

Author(s):

Fu-Cheng Cai

Keyword(s):

Ovarian Cancer ◽

Dendritic Cell ◽

Prognostic Significance ◽

Interaction Network ◽

Enrichment Analysis ◽

Rna Degradation ◽

Gene Set Enrichment Analysis ◽

Pathogenesis Related ◽

Biologic Effect ◽

The Difference

Abstract Background Ovarian cancer (OC) affects about 22 000 women annually in the US and ranks 5th in cancer deaths, largely due to diagnosed with advanced stage. Epithelial ovarian cancer (EOC) accounts for approximately 90% of all ovarian cancer cases. Our study was to assess the prognostic meaningful of UBE2T expression in OC dependent on data acquired from TCGA and so as to increase further knowledge into the biological pathways involved in OC pathogenesis related to UBE2T. Methods Information on gene expression and comparing clinical data were recognized and downloaded from TCGA. Gene set enrichment analysis (GSEA) created an arranged list of all genes s indicated by their connection with UBE2T expression. Results The scatter plot showed the difference of UBE2T expression between normal and tumor samples ( P <0.01). So as to decide the biological interaction network of UBE2T in OC, we used to tab Network in cBioPortal and the 50 most as often altered neighbor genes of UBE2T were demonstrated utilizing Network and the most frequent alterations were HES1. The GSEA results showed that cell cycle, DNA replication, RNA degradation, some cancers, spliceosome, Huntington’s disease, oxidative phosphorylation are differentially enriched in UBE2T high expression phenotype. Cumulative survive showed that dendritic cell of immune infiltrates statistically significant ( P <0.05) of UBE2T in OC suggesting that dendritic cell significantly affecting the prognosis, it is worth more research and exploration. Conclusion Our study found that the expression of UBE2T was significantly increased in OC patients and associated with several clinical features. UBE2T may be a potentially useful prognostic molecular biomarker of bad survival in OC, while further experimental ought to be performed to demonstrate the biologic effect of UBE2T.

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Dendritic cell tracking and modulation

Nature Materials ◽

10.1038/s41563-020-00828-w ◽

2020 ◽

Vol 19 (11) ◽

pp. 1134-1135

Author(s):

Joshua M. Gammon ◽

Christopher M. Jewell

Keyword(s):

Dendritic Cell ◽

Cell Tracking

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Renal Ischemia–Reperfusion Injury: New Implications of Dendritic Cell–Endothelial Cell Interactions

Transplantation Proceedings ◽

10.1016/j.transproceed.2006.01.059 ◽

2006 ◽

Vol 38 (3) ◽

pp. 670-673 ◽

Cited By ~ 33

Author(s):

C.L. Schlichting ◽

W.D. Schareck ◽

M. Weis

Keyword(s):

Endothelial Cell ◽

Dendritic Cell ◽

Reperfusion Injury ◽

Ischemia Reperfusion Injury ◽

Ischemia Reperfusion ◽

Cell Interactions ◽

Renal Ischemia ◽

Renal Ischemia Reperfusion Injury

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Decision letter: High-endothelial cell-derived S1P regulates dendritic cell localization and vascular integrity in the lymph node

10.7554/elife.41239.017 ◽

2018 ◽

Author(s):

Michael L Dustin ◽

Shannon Turley

Keyword(s):

Lymph Node ◽

Endothelial Cell ◽

Dendritic Cell ◽

Vascular Integrity ◽

Cell Localization

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mRNA-nanoparticles to enhance and track dendritic cell migration.

Journal of Clinical Oncology ◽

10.1200/jco.2018.36.5_suppl.72 ◽

2018 ◽

Vol 36 (5_suppl) ◽

pp. 72-72

Author(s):

Adam Grippin ◽

Elias Sayour ◽

Brandon Wummer ◽

Adam Monsalve ◽

Tyler Wildes ◽

...

Keyword(s):

Iron Oxide ◽

Dendritic Cell ◽

Lymph Nodes ◽

Cell Tracking ◽

Ex Vivo ◽

Imaging Modality ◽

Cationic Lipids ◽

Widespread Application ◽

Stimulatory Capacity

72 Background: Despite aggressive clinical interventions, glioblastoma (GBM) remains almost universally fatal. In a pilot, randomized, and blinded clinical trial, we recently demonstrated that administration of RNA-loaded dendritic cell (DC) vaccines was associated with significantly improved progression-free and overall survival in patients with GBM (Mitchell et al, Nature 2015). Furthermore, clinical outcomes correlated with migration of Indium-111-labeled DCs to vaccine-site draining lymph nodes (LNs) measured by SPECT/CT imaging. While these studies demonstrated that DC migration may be an important clinical biomarker for response to DC vaccination, the complexity and regulatory requirements associated with nuclear labeling to track DC migration limits widespread application of this technique. We have therefore developed RNA-loaded magnetic nanoparticles (RNA-NPs) to enhance DC migration to LNs and track that migration with a widely available imaging modality (i.e. MRI). Methods: Cationic liposomes were loaded with iron oxide nanoparticles with or without cholesterol modification. The resulting nanoparticles were complexed with RNA and used to transfect DCs ex vivo. RNA-NP-loaded DsRed+ DCs were then injected intradermally into mice and tracked noninvasively with T2-weighted 11T MRI before excision and quantification with flow cytometry. Results: In vitro experiments demonstrate that iron oxide loading does not reduce RNA-NP-mediated transfection of DCs. Additionally, replacement of cationic lipids with cholesterol increased RNA-NP transfection of the DC2.4 cell line and enhanced the T cell stimulatory capacity of treated bone marrow-derived dendritic cells (BMDCs). Compared to electroporation, RNA-NPs enhanced DC migration to lymph nodes and reduced T2 MRI intensity in DC-bearing lymph nodes. Conclusions: This data suggests that iron oxide-loaded RNA-NPs enable noninvasive cell tracking with MRI and enhance DC migration to lymph nodes. We have further shown that inclusion of cholesterol in RNA-NPs augments the stimulatory capacity of transfected DCs. Future work will consider effects of RNA-NPs on antitumor immune responses and the utility of MRI-detected DC migration as a biomarker of vaccine efficacy.

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