Systems Biology in Metabolomics

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Systems Biology in Metabolomics Maciej Lalowski PhD, Adjunct Professor Biomedicum Helsinki Helsinki University and Folkhälsan Institute of Genetics maciej.lalowski@helsinki.fi TrasMed Course 25.09.2014

Basic definitions: Metabolites - are the intermediates and products of metabolism. The term metabolite is usually restricted to small molecules. A primary metabolite is directly involved in normal growth, development, and reproduction, e.g. alcohol. A secondary metabolite is not directly involved in those processes, but usually has an important ecological function. Examples include antibiotics and pigments. Some antibiotics use primary metabolites as precursors, e.g. actinomycin, a product of primary metabolite tryptophan. Metabolome - The metabolome forms a large network of metabolic reactions, where outputs from one enzymatic chain reaction are inputs to other chemical reactions. The metabolome represents the collection of all metabolites in a biological cell, tissue, organ or organism, which are the end products of cellular processes. Metabolomics - "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite profiles. Metabolomic pathways - are series of chemical reactions occurring within a cell. In each pathway, a principal chemical is modified by a series of chemical reactions. This collection of pathways is called the metabolic network. Pathways are important to the maintenance of homeostasis within an organism. Catabolic (break-down) and anabolic (synthesis) pathways often work interdependently to create new biomolecules as the final endproducts.

A metabolic pathway involves the step-by-step modification of an initial molecule to form another product. 1) product is used immediately, as the end-product of a metabolic pathway 2) product initiates another metabolic pathway, called a flux generating step 3) product is stored by the cell. A molecule called a substrate enters a metabolic pathway depending on the needs of the cell and the availability of the substrate. An increase in concentration of anabolic and catabolic intermediates and/or end-products may influence the metabolic rate for that particular pathway. Major metabolic pathways http://en.wikipedia.org/wiki/metabolic_pathway

Entrez Gene: http://www.ncbi.nlm.nih.gov/gene/:

Entrez Gene: http://www.ncbi.nlm.nih.gov/gene/: * * *

KEGG http://www.genome.jp/kegg/

KEGG http://www.genome.jp/kegg/

KEGG http://www.genome.jp/kegg/

KEGG http://www.genome.jp/kegg/ BSID: 82927 KEGG: hsa:00020 ACLY

http://www.reactome.org/reactomegwt/entrypoint.html

Reactome: pathways Meilahti Clinical Proteomics Core Facility

http://mimi.ncibi.org/mimiweb/main-page.jsp C00022 C00024 Acetyl-CoA

Acetyl-CoA (C00024) network (view in MetScape)

Lists of compound reactions

AmiGO: http://geneontology.org

Gene Ontology annotation: http://www.ebi.ac.uk/goa/ Gene Ontology: component

Gene Ontology annotation: http://www.ebi.ac.uk/goa/ Gene Ontology: process

Gene Cards: http://www.genecards.org/

Gene Cards: aliases and descriptions

Gene Cards: compounds for ACLY

Gene Cards: expression in tissues and disease

OMIM: www.ncbi.nlm.nih.gov/omim

ChEBI: Chemical Entities of Biological Interest ACLY search www.ebi.ac.uk/chebi/

HMDB: Human Metabolome Database www.hmdb.ca/

HMDB: Human Metabolome Database

HMDB: Human Metabolome Database

HMDB: Human Metabolome Database 2D-structure of Acetyl CoA 3D-structure of Acetyl CoA

HMDB: Human Metabolome Database

HMDB: Human Metabolome Database Beta Oxidation of Very Long Chain Fatty Acids SMP0052; http://pathman.smpdb.ca/ Biosynthesis of unsaturated fatty acids - Homo sapiens (human) KEGG 010140

www.biocyc.org Collection of 3563 Pathway/Genome databases. Each database describes the genome and pathways of a single organism. Tier 1: literaturebased curation Tier 2 and Tier 3: computational HumanCyc: 250 pathways MetaCyc: 2202 pathways from 2063 organisms BioCyc Database collection

BioCyc Database collection: example TCA (human)

ChemSpider: the free chemical database http://www.chemspider.com/

ChemSpider: the free chemical database http://www.chemspider.com/

Unpredictability of metabolism--the key role of metabolomics science in combination with next-generation genome sequencing Weckwerth W. Anal Biochem Chem. 2011 Jun;400(7):1967-78.

Unpredictability of metabolism--the key role of metabolomics science in combination with next-generation genome sequencing Overall strategy combining full-scan mass spectrometry analyses of metabolites and targeted analysis. Physiological markers are identified in HTP-manner with MRM MS technology. Integrative approach combining genome sequencing, dynamic modeling and omics analysis. EFMelementary flux models, FBA- flux balance analysis MCA-metabolic control analysis. Weckwerth W. Anal Biochem Chem. 2011 Jun;400(7):1967-78.

MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks Metabolic networks from ~200 organisms http://metexplore.toulouse.inra.fr Maps lists of metabolites to genome-inferred metabolic networks Provides computational functions that allow investigation of features, e.g. potential drug targets Cotrett L. et al., Nucleic Acid Res. 2010 Jul;38 (Web Server issue):w132-7.

Network medicine approaches to the genetics of complex diseases Silverman E. et al., Discovery Medicine 2012, 14(75):143-152.

http://www.youtube.com/watch?v=6ebwdwa2rf0

Rapidly improved determination of metabolites from biological data sets using the high-efficient TransOmics software tool Detailed analysis workflow of TransOmics informatics for metabolomics (Waters/Nonlinear) Zhang A. et al., Mol Biosyst 2014, 10: 2061-65.

The detailed information for identification of metabolites by TransOmics software online Zhang A. et al., Mol Biosyst 2014, 10: 2061-65.

Compound statistics (TransOmics software) Zhang A. et al., Mol Biosyst 2014, 10: 2061-65.

Compound statistics (EZinfo) PCA VIP-score plot Ezinfo software for compound statistics (PCA) and Orthogonal Projections to Latent Square Discriminant Analysis (OPLS-DA), correlation analysis and compound validation Orthogonal partial least square discriminant analysis finds a linear regression model by projecting the predicted variables and the observable variables to a new space OPLS-DA (2002) works best with discrete variables in classification and biomarker studies Assigned: 17 features in 14 KEGG pathways Zhang A. et al., Mol Biosyst 2014, 10: 2061-65.

Procedures of Reconstruction of Signal Flow in the Trans-Omic Network of Acute Insulin Action (< 60 minutes) KEGG FAO cells Simultaneous measurement of 304 metabolites, 7,277 P-sites on 3,458 proteins 19,778 RNA probes Yugi K. et al., Cell Reports 2014, 8(4): 1171-83. Time courses of metabolites in rapid equilibrium metabolic pools