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10.1146/annurev-immunol-051116-052225 http://scihub22266oqcxt.onion/10.1146/annurev-immunol-051116-052225 C5937945!5937945 !28142321     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 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\28142321 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Annu+Rev+Immunol 2017 ; 35 (ä): 337-370 Nephropedia Template TP {{tp|p=28142321 |t=2017. Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics |pdf=|usr=}}{{28142321 }} gab.com Text Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics JO: Annu Rev Immunol http://www.kidney.de/pget.php?&tw=1&pmid=28142321 #FOAvip Transcriptomics, the high-throughput characterization of RNAs, has been instrumental in defining pathogenic signatures in human autoimmunity and autoinflammation. It enabled the identification of new therapeutic targets in IFN-, IL-1- and IL-17-mediated diseases. Applied to immunomonitoring, transcriptomics is starting to unravel diagnostic and prognostic signatures that stratify patients, track molecular changes associated with disease activity, define personalized treatment strategies, and generally inform clinical practice. Herein, we review the use of transcriptomics to define mechanistic, diagnostic, and predictive signatures in human autoimmunity and autoinflammation. We discuss some of the analytical approaches applied to extract biological knowledge from high-dimensional data sets. Finally, we touch upon emerging applications of transcriptomics to study eQTLs, B and T cell repertoire diversity, and isoform usage. Twit Text FOAVip Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics ????Annu Rev Immunol http://www.kidney.de/pget.php?&tw=1&pmid=28142321 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28142321 #FOAvip English Wikipedia <ref>{{Cite pmid|28142321 }}</ref> Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics #MMPMID28142321 Banchereau R ; Cepika AM ; Banchereau J ; Pascual V Annu Rev Immunol 2017[Apr]; 35 (ä): 337-370 PMID28142321 show ga Transcriptomics, the high-throughput characterization of RNAs, has been instrumental in defining pathogenic signatures in human autoimmunity and autoinflammation. It enabled the identification of new therapeutic targets in IFN-, IL-1- and IL-17-mediated diseases. Applied to immunomonitoring, transcriptomics is starting to unravel diagnostic and prognostic signatures that stratify patients, track molecular changes associated with disease activity, define personalized treatment strategies, and generally inform clinical practice. Herein, we review the use of transcriptomics to define mechanistic, diagnostic, and predictive signatures in human autoimmunity and autoinflammation. We discuss some of the analytical approaches applied to extract biological knowledge from high-dimensional data sets. Finally, we touch upon emerging applications of transcriptomics to study eQTLs, B and T cell repertoire diversity, and isoform usage. |*Transcriptome [MESH] |Autoimmune Diseases/*diagnosis/immunology [MESH] |Datasets as Topic [MESH] |High-Throughput Nucleotide Sequencing [MESH] |Humans [MESH] |Inflammation/*diagnosis/immunology [MESH] |Information Storage and Retrieval [MESH] |Molecular Targeted Therapy [MESH] |Monitoring, Immunologic [MESH]Understanding Human Autoimmunity and Autoinflammation Through Transcri(epmc).pdf DeepDyve Pubget Overpricing