a database of biological pathways and processes (borrowed from a presentation created by steve jupe)
TRANSCRIPT
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A database of biological pathways and processes
(borrowed from a presentationcreated by Steve Jupe)
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http://biocyc.org/ARA/new-image?type=PATHWAY&object=PWY-695
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http://biocyc.org/ARA/NEW-IMAGE?type=REACTION-IN-PATHWAY&object=RXN-698
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What about these?-protein-protein and protein-small molecule interactions (noncovalent and covalent)- effects of location within cell- and …
Cutler et al. (2010) “Abscisic acid: emergence of a core signaling network” Annu Rev Plant Biol 61:651–79
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Nambara & Marion-Poll (2005) “Abscisic acid biosynthesis & catabolism” Annu Rev Plant Biol 56:165-85
Seo & Koshiba (2002) “Complex regulation of ABA biosynthesis in
plants” Trends Plant Sci 7:41-8
… and integration of signaling and regulation with metabolism
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Seo & Koshiba (2002) “Complex regulation of ABA biosynthesis in plants” Trends Plant Sci 7:41-8
Some of the regulatory links that can potentially be annotated
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Reactome is- reductionist. All of biology can be represented as events that convert input physical entities into output physical entities.- a generic parts list. Tissue and state specificity of events are not captured.- qualitative. Kinetic parameters and data are not captured.- species-centric. Experiments may use reagents from diverse sources, but most biological processes take place in single species, and the focus here will be on rice biological processes.- manually curated. Events are annotated by expert curators, and linked to published data.- open source. All data and software are freely downloadable and reusable.
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Data model in a nutshell
Pathway
Pathway Reaction Reaction
CatalystActivity
Output 1
Reaction
Input 1
Input 2 Output 2
Regulation
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A geometrical compartment set for locating molecules in human cells
Incomplete! What needs to be added or changed to locate molecules in plant cells?
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Why ‘Reactome’?• Reactions are the ‘units’ of a pathway (network)
• Capture events and changes of state found in biology
TRANSPORTCLASSIC
BIOCHEMICAL
BINDING
DISSOCIATION
DEGRADATION
PHOSPHORYLATION
DEPHOSPHORYLATION
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Reactome Aims• Represent detailed biological pathways
composed of ‘biological events’• Describe every step (interaction or other
event)• Provide evidence from literature for every
step• Make available free for browsing and
download/re-use• Store in a computationally accessible way
(support multiple download standards/formats)
• Link to external resources and use standard IDs, nomenclature wherever possible
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rice
PMID:5555 PMID:6666
Arabidopsis
tobacco
Direct evidence
Indirect evidence(inference)
PMID:7777
PMID:8888
Using model organism data to build pathways – inferred reactions
LOC:1111 LOC:1112 LOC:1113 LOC:1114
UniProt:P11111
UniProt:P22222
How do we accommodate rice subspecies (strains)?How do we link between fully curated databases (Arabidopsis and rice)?
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Reaction Example 1: Enzymatic
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Reaction Example 2: Transport
REACT_1338.3
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Other Reaction Types
DimerizationPhosphorylation
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Reactions Connect into Pathways
OUTPUTINPUT
CATALYST
OUTPUTINPUT
CATALYST
INPUT OUTPUT
CATALYS
T
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Data Expansion - Link-outs From Reactome
• GO – Molecular Function– Compartment– Biological process
• ChEBI – small molecules• UniProt – proteins• PubMed references – literature evidence for
events• Sequence dbs – Ensembl, OMIM, Entrez
Gene, RefSeq, HapMap, UCSC, KEGG Gene