Evaluating plant immunity using mass spectrometry-based metabolomics workflows

Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Adam L Heuberger [verfasserIn] Faith M Robison [verfasserIn] Sarah Marie eLyons [verfasserIn] Corey D Broeckling [verfasserIn] Jessica E Prenni [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling

Übergeordnetes Werk:	In: Frontiers in Plant Science - Frontiers Media S.A., 2011, 5(2014)
Übergeordnetes Werk:	volume:5 ; year:2014

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpls.2014.00291

Katalog-ID:	DOAJ012929123

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ012929123
003	DE-627
005	20230502080150.0
007	cr uuu---uuuuu
008	230225s2014 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.3389/fpls.2014.00291 \|2 doi
035			\|a (DE-627)DOAJ012929123
035			\|a (DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a SB1-1110
100	0		\|a Adam L Heuberger \|e verfasserin \|4 aut
245	1	0	\|a Evaluating plant immunity using mass spectrometry-based metabolomics workflows
264		1	\|c 2014
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems.
650		4	\|a Metabolomics
650		4	\|a plant defense
650		4	\|a Plant Pathogen
650		4	\|a GC-MS metabolite profiling
650		4	\|a LC-MS metabolite profiling
653		0	\|a Plant culture
700	0		\|a Adam L Heuberger \|e verfasserin \|4 aut
700	0		\|a Faith M Robison \|e verfasserin \|4 aut
700	0		\|a Faith M Robison \|e verfasserin \|4 aut
700	0		\|a Sarah Marie eLyons \|e verfasserin \|4 aut
700	0		\|a Corey D Broeckling \|e verfasserin \|4 aut
700	0		\|a Corey D Broeckling \|e verfasserin \|4 aut
700	0		\|a Jessica E Prenni \|e verfasserin \|4 aut
700	0		\|a Jessica E Prenni \|e verfasserin \|4 aut
773	0	8	\|i In \|t Frontiers in Plant Science \|d Frontiers Media S.A., 2011 \|g 5(2014) \|w (DE-627)662359240 \|w (DE-600)2613694-6 \|x 1664462X \|7 nnns
773	1	8	\|g volume:5 \|g year:2014
856	4	0	\|u https://doi.org/10.3389/fpls.2014.00291 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6 \|z kostenfrei
856	4	0	\|u http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/1664-462X \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a SSG-OLC-PHA
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 5 \|j 2014

Indexfelder

author_variant	a l h alh a l h alh f m r fmr f m r fmr s m e sme c d b cdb c d b cdb j e p jep j e p jep
matchkey_str	article:1664462X:2014----::vlaiglnimntuigaspcrmtyaem
hierarchy_sort_str	2014
callnumber-subject-code	SB
publishDate	2014
allfields	10.3389/fpls.2014.00291 doi (DE-627)DOAJ012929123 (DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6 DE-627 ger DE-627 rakwb eng SB1-1110 Adam L Heuberger verfasserin aut Evaluating plant immunity using mass spectrometry-based metabolomics workflows 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems. Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling Plant culture Adam L Heuberger verfasserin aut Faith M Robison verfasserin aut Faith M Robison verfasserin aut Sarah Marie eLyons verfasserin aut Corey D Broeckling verfasserin aut Corey D Broeckling verfasserin aut Jessica E Prenni verfasserin aut Jessica E Prenni verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 5(2014) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:5 year:2014 https://doi.org/10.3389/fpls.2014.00291 kostenfrei https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full kostenfrei https://doaj.org/toc/1664-462X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2014
spelling	10.3389/fpls.2014.00291 doi (DE-627)DOAJ012929123 (DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6 DE-627 ger DE-627 rakwb eng SB1-1110 Adam L Heuberger verfasserin aut Evaluating plant immunity using mass spectrometry-based metabolomics workflows 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems. Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling Plant culture Adam L Heuberger verfasserin aut Faith M Robison verfasserin aut Faith M Robison verfasserin aut Sarah Marie eLyons verfasserin aut Corey D Broeckling verfasserin aut Corey D Broeckling verfasserin aut Jessica E Prenni verfasserin aut Jessica E Prenni verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 5(2014) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:5 year:2014 https://doi.org/10.3389/fpls.2014.00291 kostenfrei https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full kostenfrei https://doaj.org/toc/1664-462X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2014
allfields_unstemmed	10.3389/fpls.2014.00291 doi (DE-627)DOAJ012929123 (DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6 DE-627 ger DE-627 rakwb eng SB1-1110 Adam L Heuberger verfasserin aut Evaluating plant immunity using mass spectrometry-based metabolomics workflows 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems. Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling Plant culture Adam L Heuberger verfasserin aut Faith M Robison verfasserin aut Faith M Robison verfasserin aut Sarah Marie eLyons verfasserin aut Corey D Broeckling verfasserin aut Corey D Broeckling verfasserin aut Jessica E Prenni verfasserin aut Jessica E Prenni verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 5(2014) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:5 year:2014 https://doi.org/10.3389/fpls.2014.00291 kostenfrei https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full kostenfrei https://doaj.org/toc/1664-462X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2014
allfieldsGer	10.3389/fpls.2014.00291 doi (DE-627)DOAJ012929123 (DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6 DE-627 ger DE-627 rakwb eng SB1-1110 Adam L Heuberger verfasserin aut Evaluating plant immunity using mass spectrometry-based metabolomics workflows 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems. Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling Plant culture Adam L Heuberger verfasserin aut Faith M Robison verfasserin aut Faith M Robison verfasserin aut Sarah Marie eLyons verfasserin aut Corey D Broeckling verfasserin aut Corey D Broeckling verfasserin aut Jessica E Prenni verfasserin aut Jessica E Prenni verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 5(2014) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:5 year:2014 https://doi.org/10.3389/fpls.2014.00291 kostenfrei https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full kostenfrei https://doaj.org/toc/1664-462X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2014
allfieldsSound	10.3389/fpls.2014.00291 doi (DE-627)DOAJ012929123 (DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6 DE-627 ger DE-627 rakwb eng SB1-1110 Adam L Heuberger verfasserin aut Evaluating plant immunity using mass spectrometry-based metabolomics workflows 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems. Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling Plant culture Adam L Heuberger verfasserin aut Faith M Robison verfasserin aut Faith M Robison verfasserin aut Sarah Marie eLyons verfasserin aut Corey D Broeckling verfasserin aut Corey D Broeckling verfasserin aut Jessica E Prenni verfasserin aut Jessica E Prenni verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 5(2014) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:5 year:2014 https://doi.org/10.3389/fpls.2014.00291 kostenfrei https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full kostenfrei https://doaj.org/toc/1664-462X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2014
language	English
source	In Frontiers in Plant Science 5(2014) volume:5 year:2014
sourceStr	In Frontiers in Plant Science 5(2014) volume:5 year:2014
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling Plant culture
isfreeaccess_bool	true
container_title	Frontiers in Plant Science
authorswithroles_txt_mv	Adam L Heuberger @@aut@@ Faith M Robison @@aut@@ Sarah Marie eLyons @@aut@@ Corey D Broeckling @@aut@@ Jessica E Prenni @@aut@@
publishDateDaySort_date	2014-01-01T00:00:00Z
hierarchy_top_id	662359240
id	DOAJ012929123
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ012929123</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502080150.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2014 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fpls.2014.00291</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ012929123</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">SB1-1110</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Adam L Heuberger</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Evaluating plant immunity using mass spectrometry-based metabolomics workflows</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Metabolomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">plant defense</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Plant Pathogen</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">GC-MS metabolite profiling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">LC-MS metabolite profiling</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Plant culture</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Adam L Heuberger</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Faith M Robison</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Faith M Robison</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sarah Marie eLyons</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Corey D Broeckling</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Corey D Broeckling</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jessica E Prenni</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jessica E Prenni</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Plant Science</subfield><subfield code="d">Frontiers Media S.A., 2011</subfield><subfield code="g">5(2014)</subfield><subfield code="w">(DE-627)662359240</subfield><subfield code="w">(DE-600)2613694-6</subfield><subfield code="x">1664462X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:5</subfield><subfield code="g">year:2014</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fpls.2014.00291</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1664-462X</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">5</subfield><subfield code="j">2014</subfield></datafield></record></collection>
callnumber-first	S - Agriculture
author	Adam L Heuberger
spellingShingle	Adam L Heuberger misc SB1-1110 misc Metabolomics misc plant defense misc Plant Pathogen misc GC-MS metabolite profiling misc LC-MS metabolite profiling misc Plant culture Evaluating plant immunity using mass spectrometry-based metabolomics workflows
authorStr	Adam L Heuberger
ppnlink_with_tag_str_mv	@@773@@(DE-627)662359240
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	SB1-1110
illustrated	Not Illustrated
issn	1664462X
topic_title	SB1-1110 Evaluating plant immunity using mass spectrometry-based metabolomics workflows Metabolomics plant defense Plant Pathogen GC-MS metabolite profiling LC-MS metabolite profiling
topic	misc SB1-1110 misc Metabolomics misc plant defense misc Plant Pathogen misc GC-MS metabolite profiling misc LC-MS metabolite profiling misc Plant culture
topic_unstemmed	misc SB1-1110 misc Metabolomics misc plant defense misc Plant Pathogen misc GC-MS metabolite profiling misc LC-MS metabolite profiling misc Plant culture
topic_browse	misc SB1-1110 misc Metabolomics misc plant defense misc Plant Pathogen misc GC-MS metabolite profiling misc LC-MS metabolite profiling misc Plant culture
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Frontiers in Plant Science
hierarchy_parent_id	662359240
hierarchy_top_title	Frontiers in Plant Science
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)662359240 (DE-600)2613694-6
title	Evaluating plant immunity using mass spectrometry-based metabolomics workflows
ctrlnum	(DE-627)DOAJ012929123 (DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6
title_full	Evaluating plant immunity using mass spectrometry-based metabolomics workflows
author_sort	Adam L Heuberger
journal	Frontiers in Plant Science
journalStr	Frontiers in Plant Science
callnumber-first-code	S
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2014
contenttype_str_mv	txt
author_browse	Adam L Heuberger Faith M Robison Sarah Marie eLyons Corey D Broeckling Jessica E Prenni
container_volume	5
class	SB1-1110
format_se	Elektronische Aufsätze
author-letter	Adam L Heuberger
doi_str_mv	10.3389/fpls.2014.00291
author2-role	verfasserin
title_sort	evaluating plant immunity using mass spectrometry-based metabolomics workflows
callnumber	SB1-1110
title_auth	Evaluating plant immunity using mass spectrometry-based metabolomics workflows
abstract	Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems.
abstractGer	Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems.
abstract_unstemmed	Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	Evaluating plant immunity using mass spectrometry-based metabolomics workflows
url	https://doi.org/10.3389/fpls.2014.00291 https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6 http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full https://doaj.org/toc/1664-462X
remote_bool	true
author2	Adam L Heuberger Faith M Robison Sarah Marie eLyons Corey D Broeckling Jessica E Prenni
author2Str	Adam L Heuberger Faith M Robison Sarah Marie eLyons Corey D Broeckling Jessica E Prenni
ppnlink	662359240
callnumber-subject	SB - Plant Culture
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.3389/fpls.2014.00291
callnumber-a	SB1-1110
up_date	2024-07-03T14:49:36.838Z
_version_	1803569779800276992
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ012929123</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502080150.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2014 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fpls.2014.00291</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ012929123</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ58aac711ddbf4cdba57af5878917b5f6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">SB1-1110</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Adam L Heuberger</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Evaluating plant immunity using mass spectrometry-based metabolomics workflows</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often supports the need for multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry data can improve the ability to translate investigative findings among different plant-pathogen systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Metabolomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">plant defense</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Plant Pathogen</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">GC-MS metabolite profiling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">LC-MS metabolite profiling</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Plant culture</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Adam L Heuberger</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Faith M Robison</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Faith M Robison</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sarah Marie eLyons</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Corey D Broeckling</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Corey D Broeckling</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jessica E Prenni</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jessica E Prenni</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Plant Science</subfield><subfield code="d">Frontiers Media S.A., 2011</subfield><subfield code="g">5(2014)</subfield><subfield code="w">(DE-627)662359240</subfield><subfield code="w">(DE-600)2613694-6</subfield><subfield code="x">1664462X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:5</subfield><subfield code="g">year:2014</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fpls.2014.00291</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/58aac711ddbf4cdba57af5878917b5f6</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00291/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1664-462X</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">5</subfield><subfield code="j">2014</subfield></datafield></record></collection>
score	7.3981867

Nicht das Richtige dabei?

Schreiben Sie uns!

Evaluating plant immunity using mass spectrometry-based metabolomics workflows

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?