Selective Kinin Receptor B2 Antagonist Icatibant Reduces SARS-CoV-2 Replication in Primary Bronchial Epithelium Early
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA736080 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We provide evidence that the licensed drug icatibant, a selective antagonist of kinin B2 receptor interfering with the kinin-kallikrein system, has protective effects on primary airway epithelial cells (NHBE) during SARS-CoV-2 infection. Icatibant suppresses gene expression broadly, thereby reducing the expression of SARS-CoV-2 entry receptor ACE2 in vitro and in a murine airway inflammation model in vivo. Icatibant further impedes SARS-CoV-2 replication in NHBE and the release of infectious particles into supernatants.
2022-03-09 | GSE176405 | GEO
Project description:The diffuse invasion of glioblastoma (GBM) cells into healthy brain tissue is a main contributor for the high lethality of this most frequent form of malignant brain tumor. Plexins are cell surface receptors for semaphorins and control cell adhesion and cytoskeletal dynamics in development and in adult physiology. Gene expression of Plexin-B2 is upregulated in GBM and correlates with its lethality. We show here that Plexin-B2 activity can reduce the cohesiveness of GBM cells, which facilitates their invasive capacity. Targeted deletion of Plexin-B2 in GBM cells increased their cohesion to each other, revealing that a major function of Plexin-B2 activity is to downregulate cell-cell adhesion, possibly by downregulating other cell adhesion systems. In an in vivo intracranial transplant model, invasion of Plexin-B2 mutant GBM cells was impaired, with cells invading shorter distances. Interestingly, the loss of Plexin-B2 also changed the migration mode of cells, with the balance of cells in brain stroma vs. capillary space shifted: Plexin-B2 mutant cells were more likely to adhere to the vasculature. Our structure-function analyses revealed that the Ras-GAP domain of Plexin-B2 that is the main functional output responsible for the cohesion regulating function of Plexin-B2. Transcriptomic analyses of Plexin-B2 KO cells suggests that Plexin-B2 loss in different GBM cell lines has no direct transcriptional target genes, however, consistently, cell adhesion molecules were changed in expression, suggesting that cells compensate for loss of Plexin-B2. Thus, Plexin-B2 acts as a key regulator of the cohesiveness of GBM cells, thereby facilitating their invasiveness.
2021-01-13 | GSE126658 | GEO
Project description:19 bronchial epithelial SAGE libraries were constructed and analyzed in this study. Discussed in the study: IDENTIFICATION OF NOVEL LUNG GENES IN BRONCHIAL EPITHELIUM BY SERIAL ANALYSIS OF GENE EXPRESSION Kim M. Lonergan1, Raj Chari1, Ronald J. deLeeuw1, Ashleen Shadeo1, Bryan Chi1, Ming-Sound Tsao2, Steven Jones3, Marco Marra3, Victor Ling1, Raymond Ng1,4, Calum MacAulay5, Stephen Lam5 and Wan L. Lam1 From the 1Department of Cancer Genetics & Developmental Biology, 5Department of Cancer Imaging, 3Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Research Centre, Vancouver, BC, Canada, 2Ontario Cancer Institute / Princess Margaret Hospital, Toronto, ON, Canada, 4the Department of Computer Science, University of British Columbia, Vancouver, BC, Canada A description of the transcriptome of human bronchial epithelium should provide a basis for studying lung diseases including cancer. We demonstrate here that minute epithelial specimens obtained by bronchial brushings afford reliable profiling by serial analysis of gene expression (SAGE) leading to lung gene discovery. We have deduced global gene expression profiles of bronchial epithelium and lung parenchyma, based upon a vast data set of nearly two million sequence tags from 21 SAGE libraries generated from individuals with a history of smoking. Cluster and linear regression analysis demonstrate the repeatability and reproducibility of bronchial SAGE libraries, and suggest that the transcriptome of the bronchial epithelium is distinct from that of lung parenchyma and other tissue types. This distinction is highlighted by the abundant expression of signature genes that reflect tissue-specific and region-specific functions. Through our analysis we have identified novel bronchial-enriched genes and a novel transcript variant for surfactant, pulmonary-associated protein B in lung parenchyma. Conspicuously, gene expression associated with ciliogenesis is evident in bronchial epithelium. Additionally, it is noted that a large number of unmapped tags awaits further investigation. This study represents a comprehensive delineation of the bronchial and parenchyma transcriptomes, identifying more than 20,000 known and hypothetical genes expressed in the human lung, constituting one of the largest human SAGE studies reported to date. Keywords: bronchial epithelium 19 bronchial epithelial SAGE libraries were constructed and analyzed in this study.
2006-07-14 | E-GEOD-3707 | biostudies-arrayexpress
Project description:19 bronchial epithelial SAGE libraries were constructed and analyzed in this study. Discussed in the study: IDENTIFICATION OF NOVEL LUNG GENES IN BRONCHIAL EPITHELIUM BY SERIAL ANALYSIS OF GENE EXPRESSION Kim M. Lonergan1, Raj Chari1, Ronald J. deLeeuw1, Ashleen Shadeo1, Bryan Chi1, Ming-Sound Tsao2, Steven Jones3, Marco Marra3, Victor Ling1, Raymond Ng1,4, Calum MacAulay5, Stephen Lam5 and Wan L. Lam1 From the 1Department of Cancer Genetics & Developmental Biology, 5Department of Cancer Imaging, 3Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Research Centre, Vancouver, BC, Canada, 2Ontario Cancer Institute / Princess Margaret Hospital, Toronto, ON, Canada, 4the Department of Computer Science, University of British Columbia, Vancouver, BC, Canada A description of the transcriptome of human bronchial epithelium should provide a basis for studying lung diseases including cancer. We demonstrate here that minute epithelial specimens obtained by bronchial brushings afford reliable profiling by serial analysis of gene expression (SAGE) leading to lung gene discovery. We have deduced global gene expression profiles of bronchial epithelium and lung parenchyma, based upon a vast data set of nearly two million sequence tags from 21 SAGE libraries generated from individuals with a history of smoking. Cluster and linear regression analysis demonstrate the repeatability and reproducibility of bronchial SAGE libraries, and suggest that the transcriptome of the bronchial epithelium is distinct from that of lung parenchyma and other tissue types. This distinction is highlighted by the abundant expression of signature genes that reflect tissue-specific and region-specific functions. Through our analysis we have identified novel bronchial-enriched genes and a novel transcript variant for surfactant, pulmonary-associated protein B in lung parenchyma. Conspicuously, gene expression associated with ciliogenesis is evident in bronchial epithelium. Additionally, it is noted that a large number of unmapped tags awaits further investigation. This study represents a comprehensive delineation of the bronchial and parenchyma transcriptomes, identifying more than 20,000 known and hypothetical genes expressed in the human lung, constituting one of the largest human SAGE studies reported to date. Keywords: bronchial epithelium
2006-07-14 | GSE3707 | GEO
Project description:Plexin-B2 reduces glioma cell cohesion and regulates glioma-vascular interactions
| PRJNA522815 | ENA
Project description:Transcriptional profiling of hyperplastic, metaplastic, and dysplastic lesions of the bronchus in comparison with normal bronchial epithelium. The aim was to identify transcripts and cell signalling pathways associated with the development of isolated premalignant lesions and/or lesions combined with each other in the same bronchial epithelium.
2016-05-25 | GSE81819 | GEO
Project description:Bacillus subtilis B2 strain:B2 Genome sequencing
| PRJNA196566 | ENA
Project description:Sulfurimonas sp. B2 strain:B2 Genome sequencing
| PRJNA549374 | ENA
Project description:Bacillus sp. B2 strain:B2 Genome sequencing
| PRJNA334837 | ENA