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.jacbts.2016.02.001 http://scihub22266oqcxt.onion/10.1016/j.jacbts.2016.02.001 30167508!6113163!30167508     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=30167508&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       JACC+Basic+Transl+Sci 2016 ; 1 (3): 107-121 Nephropedia Template TP {{tp|p=30167508|t=2016. Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy |pdf=|usr=}}{{30167508}} gab.com Text Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy JO: JACC Basic Transl Sci http://www.kidney.de/pget.php?&tw=1&pmid=30167508 #FOAvip Over the last decades, beta-blockers have been a key component of heart failure therapy. However, currently there is no method to identify patients who will benefit from beta-blocking therapy versus those who will be unresponsive or worsen. Furthermore, there is an unmet need to better understand molecular mechanisms through which heart failure therapies, such as beta-blockers, improve cardiac function, in order to design novel targeted therapies. Solving these issues is an important step towards personalized medicine. Here, we present a comprehensive transcriptomic analysis of molecular pathways that are affected by beta-blocking agents and a transcriptomic biomarker to predict therapy response. Twit Text FOAVip Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy ????JACC Basic Transl Sci http://www.kidney.de/pget.php?&tw=1&pmid=30167508 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30167508 #FOAvip English Wikipedia <ref>{{Cite pmid|30167508}}</ref> Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy #MMPMID30167508 Heidecker B; Kittleson MM; Kasper EK; Wittstein IS; Champion HC; Russell SD; Baughman KL; Hare JM JACC Basic Transl Sci 2016[Apr]; 1 (3): 107-121 PMID30167508show ga Over the last decades, beta-blockers have been a key component of heart failure therapy. However, currently there is no method to identify patients who will benefit from beta-blocking therapy versus those who will be unresponsive or worsen. Furthermore, there is an unmet need to better understand molecular mechanisms through which heart failure therapies, such as beta-blockers, improve cardiac function, in order to design novel targeted therapies. Solving these issues is an important step towards personalized medicine. Here, we present a comprehensive transcriptomic analysis of molecular pathways that are affected by beta-blocking agents and a transcriptomic biomarker to predict therapy response. ?Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents (epmc).pdf DeepDyve Pubget Overpricing