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10.1038/s41540-022-00224-x http://scihub22266oqcxt.onion/10.1038/s41540-022-00224-x 35501398!9061772!35501398     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\35501398.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       NPJ+Syst+Biol+Appl 2022 ; 8 (1): 15 Nephropedia Template TP {{tp|p=35501398|t=2022. Mapping the epithelial-immune cell interactome upon infection in the gut and the upper airways |pdf=|usr=}}{{35501398}} gab.com Text Mapping the epithelial-immune cell interactome upon infection in the gut and the upper airways JO: NPJ Syst Biol Appl http://www.kidney.de/pget.php?&tw=1&pmid=35501398 #FOAvip Increasing evidence points towards the key role of the epithelium in the systemic and over-activated immune response to viral infection, including SARS-CoV-2 infection. Yet, how viral infection alters epithelial-immune cell interactions regulating inflammatory responses, is not well known. Available experimental approaches are insufficient to properly analyse this complex system, and computational predictions and targeted data integration are needed as an alternative approach. In this work, we propose an integrated computational biology framework that models how infection alters intracellular signalling of epithelial cells and how this change impacts the systemic immune response through modified interactions between epithelial cells and local immune cell populations. As a proof-of-concept, we focused on the role of intestinal and upper-airway epithelial infection. To characterise the modified epithelial-immune interactome, we integrated intra- and intercellular networks with single-cell RNA-seq data from SARS-CoV-2 infected human ileal and colonic organoids as well as from infected airway ciliated epithelial cells. This integrated methodology has proven useful to point out specific epithelial-immune interactions driving inflammation during disease response, and propose relevant molecular targets to guide focused experimental analysis. Twit Text FOAVip Mapping the epithelial-immune cell interactome upon infection in the gut and the upper airways ????NPJ Syst Biol Appl http://www.kidney.de/pget.php?&tw=1&pmid=35501398 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35501398 #FOAvip English Wikipedia <ref>{{Cite pmid|35501398}}</ref> Mapping the epithelial-immune cell interactome upon infection in the gut and the upper airways #MMPMID35501398 Poletti M; Treveil A; Csabai L; Gul L; Modos D; Madgwick M; Olbei M; Bohar B; Valdeolivas A; Turei D; Verstockt B; Triana S; Alexandrov T; Saez-Rodriguez J; Stanifer ML; Boulant S; Korcsmaros T NPJ Syst Biol Appl 2022[May]; 8 (1): 15 PMID35501398show ga Increasing evidence points towards the key role of the epithelium in the systemic and over-activated immune response to viral infection, including SARS-CoV-2 infection. Yet, how viral infection alters epithelial-immune cell interactions regulating inflammatory responses, is not well known. Available experimental approaches are insufficient to properly analyse this complex system, and computational predictions and targeted data integration are needed as an alternative approach. In this work, we propose an integrated computational biology framework that models how infection alters intracellular signalling of epithelial cells and how this change impacts the systemic immune response through modified interactions between epithelial cells and local immune cell populations. As a proof-of-concept, we focused on the role of intestinal and upper-airway epithelial infection. To characterise the modified epithelial-immune interactome, we integrated intra- and intercellular networks with single-cell RNA-seq data from SARS-CoV-2 infected human ileal and colonic organoids as well as from infected airway ciliated epithelial cells. This integrated methodology has proven useful to point out specific epithelial-immune interactions driving inflammation during disease response, and propose relevant molecular targets to guide focused experimental analysis. |*COVID-19[MESH] |*Virus Diseases[MESH] |Epithelial Cells[MESH] |Humans[MESH] |SARS-CoV-2[MESH]Mapping the epithelial-immune cell interactome upon infection in the g(epmc).pdf DeepDyve Pubget Overpricing