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Biomedical subjects

B Markus Lange

Publications and source records attributed to B Markus Lange.

11 recordsLinked to original sources
PubMed2006

Integrative analysis of metabolic networks: from peaks to flux models?

Recent developments in genomic and post-genomic technologies have led to the amassment of data describing genome sequences, transcript, protein and metabolite abundances, protein modifications, and protein-protein and protein-DNA interactions. Such technologies have vastly expanded the inventory of detectable molecular species and can be used to describe their interdependence, but they have yet to fulfill their promise in enhancing our knowledge of how flux through metabolic pathways is regulated. A convergence of traditional reductionistic and novel holistic experimental approaches could aid in elucidating flux control.

Databases, Genetic↗
PubMed2006

Integrative analysis of transcript and metabolite profiling data sets to evaluate the regulation of biochemical pathways during photomorphogenesis.

One of the key developmental processes during photomorphogenesis is the differentiation of prolamellar bodies of proplastids into thylakoid membranes containing the photosynthetic pigment-protein complexes of chloroplasts. To study the regulatory events controlling pigment-protein complex assembly, including the biosynthesis of metabolic precursors and pigment end products, etiolated Arabidopsis thaliana seedlings were irradiated with continuous red light (Rc), which led to rapid greening, or continuous far-red light (FRc), which did not result in visible greening, and subjected to analysis by oligonucleotide microarrays and targeted metabolite profiling. An analysis using BioPathAt, a bioinformatic tool that allows the visualization of post-genomic data sets directly on biochemical pathway maps, indicated that in Rc-treated seedlings mRNA expression and metabolite patterns were tightly correlated (e.g., Calvin cycle, biosynthesis of chlorophylls, carotenoids, isoprenoid quinones, thylakoid lipids, sterols, and amino acids). K-means clustering revealed that gene expression patterns across various biochemical pathways were very similar in Rc- and FRc-treated seedlings (despite the visible phenotypic differences), whereas a principal component analysis of metabolite pools allowed a clear distinction between both treatments (in accordance with the visible phenotype). Our results illustrate the general importance of integrative approaches to correlate post-genomic data sets with phenotypic outcomes.

Arabidopsis↗
PubMed2005

Single-cell genomics.

The evolution of higher plants depended on the ability of cells to express hereditary information in many different ways and led to the development of specialized cell types, reflecting an elaborate system of control over gene expression in the individual component cells of various tissues. Bulk tissue sampling results in the loss of spatial resolution, and recent efforts have been directed toward improving access to specialized cell types in plants. Access to the contents of individual cells followed by analyses using post-genomic technologies promise to revolutionize our understanding of the differentiation of specialized cell types, and to enable downstream applications aimed at harnessing their unique biochemical properties.

Genetic Techniques↗
PubMed2005

Comprehensive post-genomic data analysis approaches integrating biochemical pathway maps.

Post-genomic era research is focusing on studies to attribute functions to genes and their encoded proteins, and to describe the regulatory networks controlling metabolic, protein synthesis and signal transduction pathways. To facilitate the analysis of experiments using post-genomic technologies, new concepts for linking the vast amount of raw data to a biological context have to be developed. Visual representations of pathways help biologists to understand the complex relationships between components of metabolic networks, and provide an invaluable resource for the integration of transcriptomics, proteomics and metabolomics data sets. Besides providing an overview of currently available bioinformatic tools for plant scientists, we introduce BioPathAt, a newly developed visual interface that allows the knowledge-based analysis of genome-scale data by integrating biochemical pathway maps (BioPathAtMAPS module) with a manually scrutinized gene-function database (BioPathAtDB) for the model plant Arabidopsis thaliana. In addition, we discuss approaches for generating a biochemical pathway knowledge database for A. thaliana that includes, in addition to accurate annotation, condensed experimental information regarding in vitro and in vivo gene/protein function.

Computational Biology↗
PubMed2004

A proposed framework for the description of plant metabolomics experiments and their results.

The study of the metabolite complement of biological samples, known as metabolomics, is creating large amounts of data, and support for handling these data sets is required to facilitate meaningful analyses that will answer biological questions. We present a data model for plant metabolomics known as ArMet (architecture for metabolomics). It encompasses the entire experimental time line from experiment definition and description of biological source material, through sample growth and preparation to the results of chemical analysis. Such formal data descriptions, which specify the full experimental context, enable principled comparison of data sets, allow proper interpretation of experimental results, permit the repetition of experiments and provide a basis for the design of systems for data storage and transmission. The current design and example implementations are freely available (http://www.armet.org/). We seek to advance discussion and community adoption of a standard for metabolomics, which would promote principled collection, storage and transmission of experiment data.

Database Management Systems↗
PubMed2003

Metabolic cross talk between cytosolic and plastidial pathways of isoprenoid biosynthesis: unidirectional transport of intermediates across the chloroplast envelope membrane.

In higher plants, two independent pathways are responsible for the biosynthesis of isopentenyl diphosphate and dimethylallyl diphosphate, the central five-carbon precursors of all isoprenoids. The cytosolic pathway, which involves mevalonate (MVA) as a key intermediate, provides the precursor molecules for sterols, ubiquinone, and certain sesquiterpenes, whereas the plastidial MVA-independent pathway is involved in the formation of precursors for the biosynthesis of isoprene, monoterpenes, diterpenes, carotenoids, abscisic acid, and the side chains of chlorophylls, tocopherols, and plastoquinone. Recent experiments provided indirect evidence for the presence of an export system for isoprenoid intermediates from the plastids to the cytosol in Arabidopsis thaliana. Here we report that isolated chloroplasts (from spinach, kale, and Indian mustard), envelope membrane vesicles, and proteoliposomes prepared from the solubilized proteins of envelope membranes (from spinach) are capable of the efficient transport of isopentenyl diphosphate and geranyl diphosphate. Lower rates of transport were observed with the substrates farnesyl diphosphate and dimethylallyl diphosphate, whereas geranylgeranyl diphosphate and mevalonate were not transported with appreciable efficiency. Our data suggest that plastid membranes possess a unidirectional proton symport system for the export of specific isoprenoid intermediates involved in the metabolic cross talk between cytosolic and plastidial pathways of isoprenoid biosynthesis.

Biological Transport↗
PubMed2003

Genome organization in Arabidopsis thaliana: a survey for genes involved in isoprenoid and chlorophyll metabolism.

The isoprenoid biosynthetic pathway provides intermediates for the synthesis of a multitude of natural products which serve numerous biochemical functions in plants: sterols (isoprenoids with a C30 backbone) are essential components of membranes; carotenoids (C40) and chlorophylls (which contain a C20 isoprenoid side-chain) act as photosynthetic pigments; plastoquinone, phylloquinone and ubiquinone (all of which contain long isoprenoid side-chains) participate in electron transport chains; gibberellins (C20), brassinosteroids (C30) and abscisic acid (C15) are phytohormones derived from isoprenoid intermediates; prenylation of proteins (with C15 or C20 isoprenoid moieties) may mediate subcellular targeting and regulation of activity; and several monoterpenes (C10), sesquiterpenes (C15) and diterpenes (C20) have been demonstrated to be involved in plant defense. Here we present a comprehensive analysis of genes coding for enzymes involved in the metabolism of isoprenoid-derived compounds in Arabidopsis thaliana. By combining homology and sequence motif searches with knowledge regarding the phylogenetic distribution of pathways of isoprenoid metabolism across species, candidate genes for these pathways in A. thaliana were obtained. A detailed analysis of the vicinity of chromosome loci for genes of isoprenoid metabolism in A. thaliana provided evidence for the clustering of genes involved in common pathways. Multiple sequence alignments were used to estimate the number of genes in gene families and sequence relationship trees were utilized to classify their individual members. The integration of all these datasets allows the generation of a knowledge-based metabolic map of isoprenoid metabolic pathways in A. thaliana and provides a substantial improvement of the currently available gene annotation.

Abscisic Acid↗
PubMed2002

Proteomic survey of metabolic pathways in rice.

A systematic proteomic analysis of rice (Oryza sativa) leaf, root, and seed tissue using two independent technologies, two-dimensional gel electrophoresis followed by tandem mass spectrometry and multidimensional protein identification technology, allowed the detection and identification of 2,528 unique proteins, which represents the most comprehensive proteome exploration to date. A comparative display of the expression patterns indicated that enzymes involved in central metabolic pathways are present in all tissues, whereas metabolic specialization is reflected in the occurrence of a tissue-specific enzyme complement. For example, tissue-specific and subcellular compartment-specific isoforms of ADP-glucose pyrophosphorylase were detected, thus providing proteomic confirmation of the presence of distinct regulatory mechanisms involved in the biosynthesis and breakdown of separate starch pools in different tissues. In addition, several previously characterized allergenic proteins were identified in the seed sample, indicating the potential of proteomic approaches to survey food samples with regard to the occurrence of allergens.

Amino Acid Sequence↗
PubMed2002

A draft sequence of the rice genome (Oryza sativa L. ssp. japonica).

The genome of the japonica subspecies of rice, an important cereal and model monocot, was sequenced and assembled by whole-genome shotgun sequencing. The assembled sequence covers 93% of the 420-megabase genome. Gene predictions on the assembled sequence suggest that the genome contains 32,000 to 50,000 genes. Homologs of 98% of the known maize, wheat, and barley proteins are found in rice. Synteny and gene homology between rice and the other cereal genomes are extensive, whereas synteny with Arabidopsis is limited. Assignment of candidate rice orthologs to Arabidopsis genes is possible in many cases. The rice genome sequence provides a foundation for the improvement of cereals, our most important crops.

Arabidopsis↗