Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: metabolome

Sortuj według:

Ogranicz wyniki do:

Metabolomics and metabolite prolifing - can we achieve the goal?

100%

Stobiecki M., Kachlicki P.

Acta Physiologiae Plantarum

2005

tom 27

nr 1

Deciphering of the plant metabolome is one of the most difficult analytical tasks in functional genomic research. Studies directed at the gene or protein expression are well established, sequencing analyses of these kinds of biopolymers on genome or proteome level are possible. This is not the case for metabolites, where identification in single sample of many chemical entities of different elemental composition and structures and various physicochemical properties is necessary. Different instrumental methods are applied for identification of metabolites but none of them allows obtaining unambiguous structural information about more than 500 compounds in single mixture (metabolite profiling). This is a much smaller number of metabolites than is predicted for single plant metabolome. However, instrumental approaches were proposed (metabolite fingerprinting) in which biochemical phenotype of an organism may be estimated, but identification of individual compounds is not possible.

On the way to understand biological complexity in plants: S-nutrition as a case study for systems biology

80%

Hesse H., Hoefgen R.

Cellular and Molecular Biology Letters

2006

tom 11

nr 1

The establishment of technologies for high-throughput DNA sequencing (genomics), gene expression (transcriptomics), metabolite and ion analysis (metabolomics/ionomics) and protein analysis (proteomics) carries with it the challenge of processing and interpreting the accumulating data sets. Publicly accessible databases and newly development and adapted bioinformatic tools are employed to mine this data in order to filter relevant correlations and create models describing physiological states. These data allow the reconstruction of networks of interactions of the various cellular components as enzyme activities and complexes, gene expression, metabolite pools or pathway flux modes. Especially when merging information from transcriptomics, metabolomics and proteomics into consistent models, it will be possible to describe and predict the behaviour of biological systems, for example with respect to endogenous or environmental changes. However, to capture the interactions of network elements requires measurements under a variety of conditions to generate or refine existing models. The ultimate goal of systems biology is to understand the molecular principles governing plant responses and consistently explain plant physiology.

Ograniczanie wyników

1 Acta Physiologiae Plantarum

1 Cellular and Molecular Biology Letters

1 Hesse H.

1 Hoefgen R.

1 Kachlicki P.

1 Stobiecki M.

1 2006

1 2005

Wyniki wyszukiwania

Metabolomics and metabolite prolifing - can we achieve the goal?

On the way to understand biological complexity in plants: S-nutrition as a case study for systems biology