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Human liver rate-limiting enzymes influence metabolic flux via branch points and inhibitors. Min Zhao Center for Bioinformatics Peking University. Outline. Construction of rate-limiting enzyme database Global analysis of rate-limiting enzyme in human liver. Outline. - PowerPoint PPT Presentation
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Human liver rate-limiting enzymes influence metabolic flux via branch points and inhibitors
Min Zhao
Center for Bioinformatics
Peking University
Outline
• Construction of rate-limiting enzyme database
• Global analysis of rate-limiting enzyme in human liver
Outline
• Construction of rate-limiting enzyme database
• Global analysis of rate-limiting enzyme in human liver
Regulation of metabolic network
• Living cells are self-regulating chemical engines, tuned to operate on the principle of maximum economy.
—A. L. Lehninger
• A pathway’s activity is often controlled by its end products through feedback inhibition of regulatory enzymes located at the start of the sequence and at branch points.
Rate-limiting enzymes in TCA
• Krebs(1957)
Pacemaker
• Bücher & Russmannn
(1963)
Rate-limiting
The properties of rate-limiting enzymes
• Relatively low velocities
• High flux-control coefficient
• To improve the total output of the whole pathway, just need to improve [rate-limiting enzymes]
• Extensively regulated
• Defined by function
• Cyclooxygenases, organisms
Construction of RLEdb
Data contents
• 387 rate-limiting enzymes from15688 abstracts
• Number of rate-limiting enzymes in database: 147 (human), 105 (rat), 96 (mouse), 16 (yeast)
and 15 (E. coli)
• Number of transcription factors: 330
• Pairs of transcription factors and rate-limiting enzymes: 478
Publication
Http://rle.cbi.pku.edu.cn
Discover regulatory relations between rate-limiting enzymes and transcription factors
Outline
• Construction of rate-limiting enzyme database
• Global analysis of rate-limiting enzyme in human liver
Branch points
• >=3
• >=1
consume
• >=1
produceX is branch point (Heijnena,2004)
Datasets and Networks
• 687 metabolic enzymes of human liver• all 1033 products of these 687 enzymes • 96 liver rate-limiting enzymes manually collected from
2682 PubMed abstracts • 132 branch points curated from KEGG pathway maps• 202 enzyme inhibitors collected from the BRENDA
database
• compound conversion network from rpair• inhibitory network
The 39 common compounds
• the 28 compounds which take part in more than 100 reactions
• 7 energy metabolism related nucleoside monophosphates, Nucleoside diphosphates and Nucleoside triphosphates
• 4 too general compounds including RNA, DNA, Protein and Peptide
How many branch points are surrounded by rate-limiting enzymes
Topological relations between rate-limiting enzymes and branch points
RL_after_BP RL_before_BP Substrate_of_RL Product_of_RL
Human Liver
49 45 78 67
Centre 3 4 6 7
Anabolic 18 19 40 35
Catabolic 14 12 26 24
Energy 1 2 3 2
Rate-limiting enzymes and branch points
Compound conversion network
The role of branch points
Rate-limiting enzymes produced nearly half enzymes inhibitors
• According our in vivo inhibitor annotation, rate-limiting enzymes in human liver could produce nearly half enzymes inhibitors (99 versus 204)
Inhibitory network
Cross-pathway inhibitory relations
Regulability and Regulatory capacity
• Regulability: the activity of the regulatory enzyme with which a regulator interacts directly can be altered by the regulator.
• Regulatory capacity: The ability of the regulatory enzyme to transmit the changes to the rest of the system.
- Flux control coeffieicent
- Aldose reductase could initiate cell signaling and apoptosis of vascular endothelial cells via TNF-alpha (Ramana et al. , 2004)
Summary• Construction of RLEdb
• Rate-limiting enzymes surround 76.5% branch point compounds in total.
• Branch points show high degree, betweenness centrality and closeness centrality in compound conversion network.
• Rate-limiting enzymes produced nearly half enzymes inhibitors.
Acknowledge
• Prof Liping Wei• Prof Louis Tao• Prof Hong Qu• Prof Ge Gao
• All CBI classmates
Thank you for your attention
Rate-limiting enzyme
• a relative measure of how much a perturbation affects a system variable
(Kacser & Burns 1973, Heinrich & Rapoport 1974, Burns et al. 1985)
A variants, i pathway, vi