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10.1371/journal.pone.0139810 http://scihub22266oqcxt.onion/10.1371/journal.pone.0139810 C4592258!4592258!26431175     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       PLoS+One 2015 ; 10 (10): ä Nephropedia Template TP {{tp|p=26431175|t=2015. Host-Associated Metagenomics: A Guide to Generating Infectious RNA Viromes |pdf=|usr=}}{{26431175}} gab.com Text Host-Associated Metagenomics: A Guide to Generating Infectious RNA Viromes JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26431175 #FOAvip Background: Metagenomic analyses have been widely used in the last decade to describe viral communities in various environments or to identify the etiology of human, animal, and plant pathologies. Here, we present a simple and standardized protocol that allows for the purification and sequencing of RNA viromes from complex biological samples with an important reduction of host DNA and RNA contaminants, while preserving the infectivity of viral particles. Principal Findings: We evaluated different viral purification steps, random reverse transcriptions and sequence-independent amplifications of a pool of representative RNA viruses. Viruses remained infectious after the purification process. We then validated the protocol by sequencing the RNA virome of human body lice engorged in vitro with artificially contaminated human blood. The full genomes of the most abundant viruses absorbed by the lice during the blood meal were successfully sequenced. Interestingly, random amplifications differed in the genome coverage of segmented RNA viruses. Moreover, the majority of reads were taxonomically identified, and only 7?15% of all reads were classified as ?unknown?, depending on the random amplification method. Conclusion: The protocol reported here could easily be applied to generate RNA viral metagenomes from complex biological samples of different origins. Our protocol allows further virological characterizations of the described viral communities because it preserves the infectivity of viral particles and allows for the isolation of viruses. Twit Text FOAVip Host-Associated Metagenomics: A Guide to Generating Infectious RNA Viromes ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26431175 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26431175 #FOAvip English Wikipedia <ref>{{Cite pmid|26431175}}</ref> Host-Associated Metagenomics: A Guide to Generating Infectious RNA Viromes #MMPMID26431175 Temmam S; Monteil-Bouchard S; Robert C; Pascalis H; Michelle C; Jardot P; Charrel R; Raoult D; Desnues C PLoS One 2015[]; 10 (10): ä PMID26431175show ga Background: Metagenomic analyses have been widely used in the last decade to describe viral communities in various environments or to identify the etiology of human, animal, and plant pathologies. Here, we present a simple and standardized protocol that allows for the purification and sequencing of RNA viromes from complex biological samples with an important reduction of host DNA and RNA contaminants, while preserving the infectivity of viral particles. Principal Findings: We evaluated different viral purification steps, random reverse transcriptions and sequence-independent amplifications of a pool of representative RNA viruses. Viruses remained infectious after the purification process. We then validated the protocol by sequencing the RNA virome of human body lice engorged in vitro with artificially contaminated human blood. The full genomes of the most abundant viruses absorbed by the lice during the blood meal were successfully sequenced. Interestingly, random amplifications differed in the genome coverage of segmented RNA viruses. Moreover, the majority of reads were taxonomically identified, and only 7?15% of all reads were classified as ?unknown?, depending on the random amplification method. Conclusion: The protocol reported here could easily be applied to generate RNA viral metagenomes from complex biological samples of different origins. Our protocol allows further virological characterizations of the described viral communities because it preserves the infectivity of viral particles and allows for the isolation of viruses. äHost-Associated Metagenomics: A Guide to Generating Infectious RNA Vir(epmc).pdf DeepDyve Pubget Overpricing