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10.3389/fpls.2017.00429 http://scihub22266oqcxt.onion/10.3389/fpls.2017.00429 C5370242!5370242!28405197     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Plant+Sci 2017 ; 8 (ä): ä Nephropedia Template TP {{tp|p=28405197|t=2017. Mass Spectrometry Based Molecular 3D-Cartography of Plant Metabolites |pdf=|usr=}}{{28405197}} gab.com Text Mass Spectrometry Based Molecular 3D-Cartography of Plant Metabolites JO: Front Plant Sci http://www.kidney.de/pget.php?&tw=1&pmid=28405197 #FOAvip Plants play an essential part in global carbon fixing through photosynthesis and are the primary food and energy source for humans. Understanding them thoroughly is therefore of highest interest for humanity. Advances in DNA and RNA sequencing and in protein and metabolite analysis allow the systematic description of plant composition at the molecular level. With imaging mass spectrometry, we can now add a spatial level, typically in the micrometer-to-centimeter range, to their compositions, essential for a detailed molecular understanding. Here we present an LC-MS based approach for 3D plant imaging, which is scalable and allows the analysis of entire plants. We applied this approach in a case study to pepper and tomato plants. Together with MS/MS spectra library matching and spectral networking, this non-targeted workflow provides the highest sensitivity and selectivity for the molecular annotations and imaging of plants, laying the foundation for studies of plant metabolism and plant-environment interactions. Twit Text FOAVip Mass Spectrometry Based Molecular 3D-Cartography of Plant Metabolites ????Front Plant Sci http://www.kidney.de/pget.php?&tw=1&pmid=28405197 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28405197 #FOAvip English Wikipedia <ref>{{Cite pmid|28405197}}</ref> Mass Spectrometry Based Molecular 3D-Cartography of Plant Metabolites #MMPMID28405197 Floros DJ; Petras D; Kapono CA; Melnik AV; Ling TJ; Knight R; Dorrestein PC Front Plant Sci 2017[]; 8 (ä): ä PMID28405197show ga Plants play an essential part in global carbon fixing through photosynthesis and are the primary food and energy source for humans. Understanding them thoroughly is therefore of highest interest for humanity. Advances in DNA and RNA sequencing and in protein and metabolite analysis allow the systematic description of plant composition at the molecular level. With imaging mass spectrometry, we can now add a spatial level, typically in the micrometer-to-centimeter range, to their compositions, essential for a detailed molecular understanding. Here we present an LC-MS based approach for 3D plant imaging, which is scalable and allows the analysis of entire plants. We applied this approach in a case study to pepper and tomato plants. Together with MS/MS spectra library matching and spectral networking, this non-targeted workflow provides the highest sensitivity and selectivity for the molecular annotations and imaging of plants, laying the foundation for studies of plant metabolism and plant-environment interactions. äMass Spectrometry Based Molecular 3D-Cartography of Plant Metabolites (epmc).pdf DeepDyve Pubget Overpricing