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10.1016/j.cca.2016.10.009 http://scihub22266oqcxt.onion/10.1016/j.cca.2016.10.009 C5352731!5352731 !27725223     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 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 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 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 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 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\27725223 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Clin+Chim+Acta 2016 ; 463 (ä): 32-38 Nephropedia Template TP {{tp|p=27725223 |t=2016. Next-generation sequencing of human opioid receptor genes based on a custom AmpliSeq? library and ion torrent personal genome machine |pdf=|usr=}}{{27725223 }} gab.com Text Next-generation sequencing of human opioid receptor genes based on a custom AmpliSeq library and ion torrent personal genome machine JO: Clin Chim Acta http://www.kidney.de/pget.php?&tw=1&pmid=27725223 #FOAvip BACKGROUND: The opioid system is involved in the control of pain, reward, addictive behaviors and vegetative effects. Opioids exert their pharmacological actions through the agonistic binding at opioid receptors and variation in the coding genes has been found to modulate opioid receptor expression or signaling. However, a limited selection of functional opioid receptor variants is perceived as insufficient in providing a genetic diagnosis of clinical phenotypes and therefore, unrestricted access to opioid receptor genetics is required. METHODS: Next-generation sequencing (NGS) workflow was based on a custom AmpliSeq? panel and designed for sequencing of human genes related to the opioid receptor group (OPRM1, OPRD1, OPRK1, SIGMA1, OPRL1) on an Ion PGM? Sequencer. A cohort of 79 previously studied chronic pain patients was screened to evaluate and validate the detection of exomic sequences of the coding genes with 25 base pair exon padding. In-silico analysis was performed using SNP and Variation Suite® software. RESULTS: The amplicons covered approximately 90% of the target sequence. A median of 2.54×10(6) reads per run was obtained generating a total of 35,447 nucleotide reads from each DNA sample. This identified approximately 100 chromosome loci where nucleotides deviated from the reference sequence GRCh37 hg19, including functional variants such as the OPRM1 rs1799971 SNP (118 A>G) as the most scientifically regarded variant or rs563649 SNP coding for ?-opioid receptor splice variants. Correspondence between NGS and Sanger derived nucleotide sequences was 100%. CONCLUSION: Results suggested that the NGS approach based on AmpliSeq? libraries and Ion PGM sequencing is a highly efficient mutation detection method. It is suitable for large-scale sequencing of opioid receptor genes. The method includes the variants studied so far for functional associations and adds a large amount of genetic information as a basis for complete analysis of human opioid receptor genetics and its functional consequences. Twit Text FOAVip Next-generation sequencing of human opioid receptor genes based on a custom AmpliSeq library and ion torrent personal genome machine ????Clin Chim Acta http://www.kidney.de/pget.php?&tw=1&pmid=27725223 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27725223 #FOAvip English Wikipedia <ref>{{Cite pmid|27725223 }}</ref> Next-generation sequencing of human opioid receptor genes based on a custom AmpliSeq? library and ion torrent personal genome machine #MMPMID27725223 Kringel D ; Lötsch J Clin Chim Acta 2016[Dec]; 463 (ä): 32-38 PMID27725223 show ga BACKGROUND: The opioid system is involved in the control of pain, reward, addictive behaviors and vegetative effects. Opioids exert their pharmacological actions through the agonistic binding at opioid receptors and variation in the coding genes has been found to modulate opioid receptor expression or signaling. However, a limited selection of functional opioid receptor variants is perceived as insufficient in providing a genetic diagnosis of clinical phenotypes and therefore, unrestricted access to opioid receptor genetics is required. METHODS: Next-generation sequencing (NGS) workflow was based on a custom AmpliSeq? panel and designed for sequencing of human genes related to the opioid receptor group (OPRM1, OPRD1, OPRK1, SIGMA1, OPRL1) on an Ion PGM? Sequencer. A cohort of 79 previously studied chronic pain patients was screened to evaluate and validate the detection of exomic sequences of the coding genes with 25 base pair exon padding. In-silico analysis was performed using SNP and Variation Suite® software. RESULTS: The amplicons covered approximately 90% of the target sequence. A median of 2.54×10(6) reads per run was obtained generating a total of 35,447 nucleotide reads from each DNA sample. This identified approximately 100 chromosome loci where nucleotides deviated from the reference sequence GRCh37 hg19, including functional variants such as the OPRM1 rs1799971 SNP (118 A>G) as the most scientifically regarded variant or rs563649 SNP coding for ?-opioid receptor splice variants. Correspondence between NGS and Sanger derived nucleotide sequences was 100%. CONCLUSION: Results suggested that the NGS approach based on AmpliSeq? libraries and Ion PGM sequencing is a highly efficient mutation detection method. It is suitable for large-scale sequencing of opioid receptor genes. The method includes the variants studied so far for functional associations and adds a large amount of genetic information as a basis for complete analysis of human opioid receptor genetics and its functional consequences. |*Gene Library [MESH] |Genome, Human/*genetics [MESH] |Humans [MESH] |Receptors, Opioid/*genetics [MESH]Next-generation sequencing of human opioid receptor genes based on a c(epmc).pdf DeepDyve Pubget Overpricing