KEGG Spider: Interpretation of Genomics Data in the Context of the Global Gene

Scientists from Helmholtz Zentrum München have developed a breakthrough methodology for understanding metabolism related variations from experimental genomics data. Using proposed bioinformatics strategy they were able to demonstrate that in most cases identified disease-specific metabolism variations are not independent, e.g. deregulated genes from different pathways are linked to each other via one or two step of consecutive metabolic reactions. The methodology may prompt new drug development strategies to affect/change metabolism of the disease cells.

The results of the German research team, which consists of scientists from Helmholtz Zentrum München (National German Research Center for Environmental Health) have been published on 18 December 2008, in the open access journal "Genome Biology".

In the post-genomic era the targets of many clinical experimental studies are complex cell disorders. A standard experimental strategy is to compare the genetic/proteomics signature of cells in normal and anomalous states. As a result, a set of genes with differential activity is delivered. In the next step, the interpretation of identified genes in a model context is required. A widely accepted strategy is to infer biological processes that are most relevant to the analyzed gene list. The inference is based on prior knowledge of individual gene properties, such as gene biological functions or interactions. This common approach is usually referred as enrichment analysis. The major limitation of such type of analyses is an ability to understand the connections between genes from different and seems to be unrelated pathways.

In comparison to previously developed methods, KEGG spider provides a robust analytical framework for interpretation of gene lists in the context of a global gene metabolic network. The information of gene pair wise relations is widely exploited (gene A is related to gene B via metabolite C) and the inferred network model is not limited to the size of one metabolic pathway.

Examples of analysis of disease-specific genes by KEGG spider suggest that the split of metabolic reactions to canonical pathways is to some degree artificial. In most cases, metabolism-related genes were from several KEGG canonical pathways. However, the analysis with KEGG spider reveals that, if to consider the topology of the global gene metabolic network, these genes form a non-interrupted (maximum one or two gene is missing) disease-specific pathway, which run through several canonical pathways. These results also support a hypothesis that disease-specific metabolism variations in most cases are not independent, e.g. deregulated genes from different pathways are linked to each other via one or two step consecutive metabolic reactions. Of about twenty examples of analysis of disease-specific genes presented in the paper may serve as support for this hypothesis.

Reference
Antonov A.V., Dietmann S., Mewes G.W. KEGG spider: interpretation of genomics data in the context of the global gene metabolic network. Genome Biology 2008, 9:R179 doi:10.1186/gb-2008-9-12-r179.

About the Institute of Bioinformatics and Systems Biology (Munich Information Center for Protein Sequences)
The Munich Information Center for Protein Sequences (MIPS-GSF, Neuherberg, Germany) provides genome-related information and analyses in a systematic way. Institute supports both national and European sequencing and functional analysis projects, develops and maintains automatically generated and manually annotated genome-specific databases, develops systematic classification schemes for the functional annotation of protein sequences, and provides tools for the comprehensive analysis experimental data. For further information, please visit http://mips.gsf.de/.

About Helmholtz Zentrum München
The Helmholtz Zentrum München is a research institution of the Federal Government and the State of Bavaria within the Helmholtz Association of German Research Centres, the largest scientific organisation in Germany.

The Helmholtz Association is a community of 15 scientific-technical and biological-medical research centres. These centres have been commissioned with pursuing long-term research goals on behalf of the state and society. The Association strives to gain insights and knowledge so that it can help to preserve and improve the foundations of human life. It does this by identifying and working on the grand challenges faced by society, science and industry. Helmholtz Centres perform top-class research in strategic programmes in six core fields: Energy, Earth and Environment, Health, Key Technologies, Structure of Matter, Transport and Space.

In future, the Helmholtz Zentrum München will be represented within the research field Health of the Helmholtz Association with both programs, Environmental Health und Systemic Analysis of Multifactorial Diseases, as well as in the field Earth and Environment with the Terrestrial Environment program.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...