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001     10905
005     20231113125532.0
024 7 _ |2 pmid
|a pmid:21056579
024 7 _ |2 DOI
|a 10.1016/j.jtbi.2010.11.005
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|a WOS:000286406700010
024 7 _ |2 ISSN
|a 0022-5193
024 7 _ |2 Handle
|a 2128/4395
037 _ _ |a PreJuSER-10905
041 _ _ |a eng
082 _ _ |a 570
082 _ _ |a 580
084 _ _ |2 WoS
|a Biology
084 _ _ |2 WoS
|a Mathematical & Computational Biology
100 1 _ |0 P:(DE-Juel1)5963
|a Bühler, J.
|b 0
|u FZJ
245 _ _ |a Analytical model for long-distance tracer-transport in plants
260 _ _ |a London
|b Academic Press
|c 2011
295 1 0 |a Journal of Theoretical Biology 270 (2011) 70–79
300 _ _ |a 70 - 79
336 7 _ |a Journal Article
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336 7 _ |a article
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440 _ 0 |0 3955
|a Journal of Theoretical Biology
|v 270
|x 0022-5193
|y 1
500 _ _ |a We wish to thank Hanno Scharr, Wilfried Wolff, Michael Thorpe and Peter Minchin for helpful discussions. Special thanks go to Siegfried Jahnke for valuable comments and access to the PET data. Jonas Buhler wants to thank Martin Reissel for technical support. Friederike Schmid acknowledges financial support from the MRL of UC Santa Barbara during a sabbatical. This work was partially supported by the MRSEC Program of the National Science Foundation under Award no. DMR05-20415. Finally, Peter Blumler wants to thank Helmut Soltner for an excursion into Laplacian space! Last but not least continuous support from Uli Schurr made this work possible.
500 _ _ |a Record converted from JUWEL: 18.07.2013
520 _ _ |a Recent investigations of long-distance transport in plants using non-invasive tracer techniques such as (11)C radiolabeling monitored by positron emission tomography (PET) combined with magnetic resonance imaging (MRI) revealed the need of dedicated methods to allow a quantitative data analysis and comparison of such experiments. A mechanistic compartmental tracer transport model is presented, defined by a linear system of partial differential equations (PDEs). This model simplifies the complexity of axial transport and lateral exchanges in the transport pathways of plants (e.g. the phloem) by simulating transport and reversible exchange within three compartments using just a few parameters which are considered to be constant in space and time. For this system of PDEs an analytical solution in Fourier-space was found allowing a fast and numerically precise evaluation. From the steady-state behavior of the model, the system loss (steadily fixed tracer along the transport conduits) was derived as an additional parameter that can be readily interpreted in a physiological way. The presented framework allows the model to be fitted to spatio-temporal tracer profiles including error and sensitivity analysis of the estimated parameters. This is demonstrated for PET data sets obtained from radish, sugar beet and maize plants.
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542 _ _ |l Copyright: Elsevier The publication is available at http://www.sciencedirect.com/science/article/pii/S0022519310005904
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Algorithms
650 _ 2 |2 MeSH
|a Beta vulgaris: metabolism
650 _ 2 |2 MeSH
|a Biological Transport: physiology
650 _ 2 |2 MeSH
|a Carbon Radioisotopes: metabolism
650 _ 2 |2 MeSH
|a Computer Simulation
650 _ 2 |2 MeSH
|a Fourier Analysis
650 _ 2 |2 MeSH
|a Magnetic Resonance Imaging
650 _ 2 |2 MeSH
|a Models, Biological
650 _ 2 |2 MeSH
|a Phloem: metabolism
650 _ 2 |2 MeSH
|a Plant Roots: metabolism
650 _ 2 |2 MeSH
|a Plant Structures: metabolism
650 _ 2 |2 MeSH
|a Plants: metabolism
650 _ 2 |2 MeSH
|a Positron-Emission Tomography
650 _ 2 |2 MeSH
|a Radioactive Tracers
650 _ 2 |2 MeSH
|a Raphanus: metabolism
650 _ 2 |2 MeSH
|a Xylem: metabolism
650 _ 2 |2 MeSH
|a Zea mays: metabolism
650 _ 7 |0 0
|2 NLM Chemicals
|a Carbon Radioisotopes
650 _ 7 |0 0
|2 NLM Chemicals
|a Radioactive Tracers
650 _ 7 |2 WoSType
|a J
650 _ 7 |a Phloem
650 _ 7 |a 11C
650 _ 7 |a Simulation
650 _ 7 |a Data analysis
650 _ 7 |a Positron emissiontomography(PET)
653 2 0 |2 Author
|a Phloem
653 2 0 |2 Author
|a C-11
653 2 0 |2 Author
|a Simulation
653 2 0 |2 Author
|a Data analysis
653 2 0 |2 Author
|a Positron emission tomography (PET)
700 1 _ |0 P:(DE-Juel1)129333
|a Huber, G.
|b 1
|u FZJ
700 1 _ |0 P:(DE-HGF)0
|a Schmid, F.
|b 2
700 1 _ |0 P:(DE-Juel1)VDB49819
|a Blümler, P.
|b 3
|u FZJ
773 _ _ |0 PERI:(DE-600)1470953-3
|a 10.1016/j.jtbi.2010.11.005
|g Vol. 270, p. 70 - 79
|p 70 - 79
|q 270<70 - 79
|t Journal of theoretical biology
|v 270
|x 0022-5193
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856 7 _ |u http://dx.doi.org/10.1016/j.jtbi.2010.11.005
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