Influence of diadenosine tetraphosphate (Ap<sub>4</sub>A) on lipid metabolism

Rüsing, D; Verspohl, Eugen J.

doi:10.1002/cbf.1111

Cited by 3 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…GAPDH plays a structural role in the eye, where it acts as a lens crystallin (Jeffery 1999). It also binds to biomolecules, including RNA (Ryazanov 1985), RNA polymerase (Mitsuzawa et al 2005), and diadenosine tetraphosphate (A p4 A) (Baxi and Vishwanatha 1995), one of whose functions is to decrease blood insulin levels (Rusing and Verspohl 2004). Recently, GAPDH has also been demonstrated to be important in sperm motility and, therefore, in male fertility (Miki et al 2004).…”

Section: Glyceraldehyde-3-phosphate Dehydrogenasementioning

confidence: 99%

Single-Gene Disorders: What Role Could Moonlighting Enzymes Play?

Sriram

Martínez

McCabe

et al. 2005

The American Journal of Human Genetics

198

132

View full text Add to dashboard Cite

Single-gene disorders with "simple" Mendelian inheritance do not always imply that there will be an easy prediction of the phenotype from the genotype, which has been shown for a number of metabolic disorders. We propose that moonlighting enzymes (i.e., metabolic enzymes with additional functional activities) could contribute to the complexity of such disorders. The lack of knowledge about the additional functional activities of proteins could result in a lack of correlation between genotype and phenotype. In this review, we highlight some notable and recent examples of moonlighting enzymes and their possible contributions to human disease. Because knowledge and cataloging of the moonlighting activities of proteins are essential for the study of cellular function and human physiology, we also review recently reported and recommended methods for the discovery of moonlighting activities.

show abstract

Section: Glyceraldehyde-3-phosphate Dehydrogenasementioning

confidence: 99%

Single-Gene Disorders: What Role Could Moonlighting Enzymes Play?

Sriram

Martínez

McCabe

et al. 2005

The American Journal of Human Genetics

198

132

View full text Add to dashboard Cite

show abstract

“…Both AppppA and ApppA are known to have a role in insulin release (Verspohl and Johannwille, 1998) and have more recently been linked to diabetes (Rüsing and Verspohl, 2004; Verspohl et al , 2003). Additionally, cyclic AMP (cAMP) has recently been indicated in the production of GLP-1 that is a known factor in insulin secretion and Type II diabetes (Yu and Jin, 2010).…”

Section: Methodsmentioning

confidence: 99%

Mining metabolic pathways through gene expression

2010

View full text Add to dashboard Cite

Motivation: An observed metabolic response is the result of the coordinated activation and interaction between multiple genetic pathways. However, the complex structure of metabolism has meant that a compete understanding of which pathways are required to produce an observed metabolic response is not fully understood. In this article, we propose an approach that can identify the genetic pathways which dictate the response of metabolic network to specific experimental conditions.Results: Our approach is a combination of probabilistic models for pathway ranking, clustering and classification. First, we use a non-parametric pathway extraction method to identify the most highly correlated paths through the metabolic network. We then extract the defining structure within these top-ranked pathways using both Markov clustering and classification algorithms. Furthermore, we define detailed node and edge annotations, which enable us to track each pathway, not only with respect to its genetic dependencies, but also allow for an analysis of the interacting reactions, compounds and KEGG sub-networks. We show that our approach identifies biologically meaningful pathways within two microarray expression datasets using entire KEGG metabolic networks.Availability and implementation: An R package containing a full implementation of our proposed method is currently available from http://www.bic.kyoto-u.ac.jp/pathway/timhancockContact: timhancock@kuicr.kyoto-u.ac.jpSupplementary information: Supplementary data are available at Bioinformatics online.

show abstract