Joachim Kopka

Dr. Joachim Kopka

orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 September 2007 in Metabolomics
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Journal Article
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Lloyd W. SumnerLloyd W. Sumner
Lloyd W. Sumner
AAAlexander Amberg
Alexander Amberg
DBDave Barrett
Dave Barrett
MBMichael H. Beale
Michael H. Beale
Richard BegerRichard Beger
Richard Beger
MVMark Viant
Mark Viant

27 June 2006 in Nature Protocols
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Journal Article
Closed access
Jan LisecJan Lisec
Jan Lisec
NSNicolas Schauer
Nicolas Schauer
JKJoachim Kopka
Joachim Kopka
LWLothar Willmitzer
Lothar Willmitzer
AFAlisdair R Fernie
Alisdair R Fernie

1 November 2000 in Nature Biotechnology
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Journal Article
Closed access
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OFOliver Fiehn
Oliver Fiehn
JKJoachim Kopka
Joachim Kopka
PDPeter Dörmann
Peter Dörmann
TAThomas Altmann
Thomas Altmann
RTRichard N. Trethewey
Richard N. Trethewey
LWLothar Willmitzer
Lothar Willmitzer

21 December 2004 in Bioinformatics
Verified
Journal Article
Closed access
JKJoachim Kopka
Joachim Kopka
NSN. Schauer
N. Schauer
SKS. Krueger
S. Krueger
CWClaudia Wiesner
Claudia Wiesner
BUB. Usadel
B. Usadel
DSDirk Steinhauser
Dirk Steinhauser
Metabolomics, in particular gas chromatography-mass spectrometry (GC-MS) based metabolite profiling of biological extracts, is rapidly becoming one of the cornerstones of functional genomics and systems biology. Metabolite profiling has profound applications in discovering the mode of action of drugs or herbicides, and in unravelling the effect of altered gene expression on metabolism and organism performance in biotechnological applications. As such the technology needs to be available to many laboratories. For this, an open exchange of information is required, like that already achieved for transcript and protein data. One of the key-steps in metabolite profiling is the unambiguous identification of metabolites in highly complex metabolite preparations from biological samples. Collections of mass spectra, which comprise frequently observed metabolites of either known or unknown exact chemical structure, represent the most effective means to pool the identification efforts currently performed in many laboratories around the world. Here we present GMD, The Golm Metabolome Database, an open access metabolome database, which should enable these processes. GMD provides public access to custom mass spectral libraries, metabolite profiling experiments as well as additional information and tools, e.g. with regard to methods, spectral information or compounds. The main goal will be the representation of an exchange platform for experimental research activities and bioinformatics to develop and improve metabolomics by multidisciplinary cooperation. http://csbdb.mpimp-golm.mpg.de/gmd.html Steinhauser@mpimp-golm.mpg.de http://csbdb.mpimp-golm.mpg.de/

1 July 2000 in The Plant Journal
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Journal Article
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Ute RoessnerUte Roessner
Ute Roessner
CWCornelia Wagner
Cornelia Wagner
JKJoachim Kopka
Joachim Kopka
RTRichard N. Trethewey
Richard N. Trethewey
LWLothar Willmitzer
Lothar Willmitzer

1 December 2004 in Plant Physiology
Verified
Journal Article
Open access
PDF file
FKFatma Kaplan
Fatma Kaplan
JKJoachim Kopka
Joachim Kopka
DHDale W. Haskell
Dale W. Haskell
WZWei Zhao
Wei Zhao
KSK. Cameron Schiller
K. Cameron Schiller
Charles GuyCharles Guy
Charles Guy
Metabolic profiling analyses were performed to determine metabolite temporal dynamics associated with the induction of acquired thermotolerance in response to heat shock and acquired freezing tolerance in response to cold shock. Low-Mr polar metabolite analyses were performed using gas chromatography-mass spectrometry. Eighty-one identified metabolites and 416 unidentified mass spectral tags, characterized by retention time indices and specific mass fragments, were monitored. Cold shock influenced metabolism far more profoundly than heat shock. The steady-state pool sizes of 143 and 311 metabolites or mass spectral tags were altered in response to heat and cold shock, respectively. Comparison of heat- and cold-shock response patterns revealed that the majority of heat-shock responses were shared with cold-shock responses, a previously unknown relationship. Coordinate increases in the pool sizes of amino acids derived from pyruvate and oxaloacetate, polyamine precursors, and compatible solutes were observed during both heat and cold shock. In addition, many of the metabolites that showed increases in response to both heat and cold shock in this study were previously unlinked with temperature stress. This investigation provides new insight into the mechanisms of plant adaptation to thermal stress at the metabolite level, reveals relationships between heat- and cold-shock responses, and highlights the roles of known signaling molecules and protectants.