Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.cels.2020.06.008 http://scihub22266oqcxt.onion/10.1016/j.cels.2020.06.008 32673562!7305881!32673562     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell+Syst 2020 ; 11 (1): 102-108.e3 Nephropedia Template TP {{tp|p=32673562|t=2020. RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus |pdf=|usr=}}{{32673562}} gab.com Text RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus JO: Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=32673562 #FOAvip SARS-CoV-2 genomic and subgenomic RNA (sgRNA) transcripts hijack the host cell's machinery. Subcellular localization of its viral RNA could, thus, play important roles in viral replication and host antiviral immune response. We perform computational modeling of SARS-CoV-2 viral RNA subcellular residency across eight subcellular neighborhoods. We compare hundreds of SARS-CoV-2 genomes with the human transcriptome and other coronaviruses. We predict the SARS-CoV-2 RNA genome and sgRNAs to be enriched toward the host mitochondrial matrix and nucleolus, and that the 5' and 3' viral untranslated regions contain the strongest, most distinct localization signals. We interpret the mitochondrial residency signal as an indicator of intracellular RNA trafficking with respect to double-membrane vesicles, a critical stage in the coronavirus life cycle. Our computational analysis serves as a hypothesis generation tool to suggest models for SARS-CoV-2 biology and inform experimental efforts to combat the virus. A record of this paper's Transparent Peer Review process is included in the Supplemental Information. Twit Text FOAVip RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus ????Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=32673562 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32673562 #FOAvip English Wikipedia <ref>{{Cite pmid|32673562}}</ref> RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus #MMPMID32673562 Wu KE; Fazal FM; Parker KR; Zou J; Chang HY Cell Syst 2020[Jul]; 11 (1): 102-108.e3 PMID32673562show ga SARS-CoV-2 genomic and subgenomic RNA (sgRNA) transcripts hijack the host cell's machinery. Subcellular localization of its viral RNA could, thus, play important roles in viral replication and host antiviral immune response. We perform computational modeling of SARS-CoV-2 viral RNA subcellular residency across eight subcellular neighborhoods. We compare hundreds of SARS-CoV-2 genomes with the human transcriptome and other coronaviruses. We predict the SARS-CoV-2 RNA genome and sgRNAs to be enriched toward the host mitochondrial matrix and nucleolus, and that the 5' and 3' viral untranslated regions contain the strongest, most distinct localization signals. We interpret the mitochondrial residency signal as an indicator of intracellular RNA trafficking with respect to double-membrane vesicles, a critical stage in the coronavirus life cycle. Our computational analysis serves as a hypothesis generation tool to suggest models for SARS-CoV-2 biology and inform experimental efforts to combat the virus. A record of this paper's Transparent Peer Review process is included in the Supplemental Information. |Betacoronavirus/*genetics/metabolism[MESH] |COVID-19[MESH] |Cell Nucleolus/metabolism/*virology[MESH] |Coronavirus Infections/*virology[MESH] |Databases, Genetic[MESH] |Genome, Viral[MESH] |Humans[MESH] |Machine Learning[MESH] |Mitochondria/metabolism/*virology[MESH] |Models, Genetic[MESH] |Pandemics[MESH] |Pneumonia, Viral/*virology[MESH] |RNA, Viral/genetics/*metabolism[MESH]RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nuc(epmc).pdf DeepDyve Pubget Overpricing