lecture four: go: the gene ontology ---- infrastructure for systems biology
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Lecture Four: GO: The Gene Ontology ---- Infrastructure for Systems Biology. S. cerevisiae. D. melanogaster. Cells that normally survive. CED-3 CED-4 OFF. CED-9 ON. Cells that normally die. CED-3 CED-4 ON. CED-9 OFF. C elegans. M. musculus. - PowerPoint PPT PresentationTRANSCRIPT
Lecture Four:
GO: The Gene Ontology----Infrastructure for Systems Biology
S. cerevisiae
D. melanogaster
Cells that normally surviveCED-9
ON
CED-3CED-4OFF
CED-9OFF
CED-3CED-4
ON
Cells that normally die
C elegans
M. musculus
MCM3
MCM2
CDC46/MCM5
CDC47/MCM7
CDC54/MCM4
MCM6
These proteins form a hexamer in the species that have been examined
Comparison of sequences from 4 organisms
A Common Language for Annotation of Genes from
Yeast, Flies and Mice
The Gene Ontologies
…and Plants and Worms
…and Humans
…and anything else!
Gene Ontology - 1998
FlyBase Drosophila Cambridge, EBI, HarvardBerkeley & Bloomington.
SGD Saccharomyces Stanford.
MGI Mus Jackson Labs., Bar Harbor.
Gene Ontology -now
• Fruitfly - FlyBase• Budding yeast - Saccharomyces Genome Database (SGD)• Mouse - Mouse Genome Database (MGD & GXD)• Rat - Rat Genome Database (RGD)• Weed - The Arabidopsis Information Resource (TAIR)• Worm - WormBase• Dictyostelium discoidem - Dictybase• InterPro/UniProt at EBI - InterPro• Fission yeast - Pombase• Human - UniProt, Ensembl, NCBI, Incyte, Celera, Compugen• Parasites - Plasmodium, Trypanosoma, Leishmania - GeneDB - Sa
nger• Microbes - Vibrio, Shewanella, B. anthracus, … - TIGR• Grasses - rice & maize - Gramene database• zebra fish – Zfin.........
To provide
structured controlled vocabularies
for the
representation of biological knowledge
in
biological databases.
• Be open source
• Use open standards
• Make data & code available without constraint
• Involve your community
Gene Ontology Objectives• GO represents concepts used to classify
specific parts of our biological knowledge:– Biological Process– Molecular Function– Cellular Component
• GO develops a common language applicable to any organism
• GO terms can be used to annotate gene products from any species, allowing comparison of information across species
GO: Three ontologies
Where does it act?
What processes is it involved in?
What does it do? Molecular Function
Cellular Component
Biological Process
gene product
Molecular Function 7,309 terms Biological Process 10,041 terms Cellular Component 1,629 terms
Total 18, 975 terms
Definitions: 94.9 %Obsolete terms: 992
Content of GO
term: gluconeogenesis
id: GO:0006094
definition: The formation of glucose from noncarbohydrate precursors, such as pyruvate, amino acids and glycerol.
What’s in a GO term?
Mitochondrial P450
Annotation of gene products with GO terms
Cellular component: mitochondrial inner membrane GO:0005743
Biological process:Electron transportGO:0006118
Molecular function: monooxygenase activity GO:0004497substrate + O2 = CO2 +H20 product
Other gene products annotated to monooxygenase activity (GO:0004497)
- monooxygenase, DBH-like 1 (mouse)
- prostaglandin I2 (prostacyclin) synthase (mouse)
- flavin-containing monooxygenase (yeast)
- ferulate-5-hydrolase 1 (arabidopsis)
What’s in a name?
• Glucose synthesis• Glucose biosynthesis• Glucose formation• Glucose anabolism• Gluconeogenesis
• All refer to the process of making glucose from simpler components
tree directed acyclic graph
Nucleus
Nucleoplasm Nuclearenvelope
ChromosomePerinuclear spaceNucleolus
A child is a subset ofa parent’s elements
The cell component term Nucleus has 5 children
Parent-Child Relationships
Ontology RelationshipsDirected Acyclic Graph
Evidence Codes for GO Evidence Codes for GO AnnotationsAnnotations
http://www.geneontology.org/doc/GO.evidence.html
IEA Inferred from Electronic Annotation
ISS Inferred from Sequence Similarity
IEP Inferred from Expression Pattern
IMP Inferred from Mutant Phenotype
IGI Inferred from Genetic Interaction
IPI Inferred from Physical Interaction
IDA Inferred from Direct Assay
RCA Inferred from Reviewed Computational Analysis
TAS Traceable Author Statement
NAS Non-traceable Author Statement
IC Inferred by Curator
ND No biological Data available
Meloidogyne incognita: McCarter et al. 2003
Annotation summaries
Two types of GO Annotations:
Electronic Annotation
Manual Annotation
All annotations must:
• be attributed to a source
• indicate what evidence was found to support the GO term-gene/protein association
Manual Annotations
• High–quality, specific gene/gene product associations made, using:
• Peer-reviewed papers
• Evidence codes to grade evidence
BUT – is very time consuming and requires trained biologists
1. Extract information from published literature
2. Curators performs manual sequence similarity analyses to transfer annotations between highly similar gene products (BLAST, protein domain analysis)
Manual Annotations: Methods
Finding GO termsIn this study, we report the isolation and molecular characterization of the B. napus PERK1 cDNA, that is predicted to encode a novel receptor-like kinase. We have shown that like other plant RLKs, the kinase domain of PERK1 has serine/threonine kinase activity, In addition, the location of a PERK1-GFP fusion protein to the plasma membrane supports the prediction that PERK1 is an integral membrane protein…these kinases have been implicated in early stages of wound response…
Process: response to wounding GO:0009611
serine/threonine kinase activity,
Function: protein serine/threonine kinase activity GO:0004674
integral membrane protein
Component: integral to plasma membrane GO:0005887
PubMed ID: 12374299wound response
Electronic Annotations
• Provides large-coverage
• High-quality
BUT – annotations tend to use high-level GO terms and provide little detail.
1. Database entries
• Manual mapping of GO terms to concepts external to GO (‘translation tables’)
• Proteins then electronically annotated with the relevant GO term(s)
2. Automatic sequence similarity analyses to transfer annotations between highly similar gene products
Electronic Annotations: Methods
Fatty acid biosynthesis (Swiss-Prot Keyword)
EC:6.4.1.2 (EC number)
IPR000438: Acetyl-CoA carboxylase carboxyl transferase beta subunit (InterPro entry)
GO:Fatty acid biosynthesis
(GO:0006633)
GO:acetyl-CoA carboxylase activity
(GO:0003989)
GO:acetyl-CoA carboxylaseactivity
(GO:0003989)
Electronic Annotations
Mappings of external concepts to GO
EC:1.1.1.1 > GO:alcohol dehydrogenase activity ; GO:0004022EC:1.1.1.10 > GO:L-xylulose reductase activity ; GO:0050038EC:1.1.1.104 > GO:4-oxoproline reductase activity ; GO:0016617EC:1.1.1.105 > GO:retinol dehydrogenase activity ; GO:0004745
• A gene product can have several functions, cellular locations and be involved in many processes
• Annotation of a gene product to one ontology is independent from its annotation to other ontologies
• Annotations are only to terms reflecting a normal activity or location
• Usage of ‘unknown’ GO terms
Additional points
Unknown v.s. Unannotated
• “Unknown” is used when the curator has determined that there is no existing literature to support an annotation.– Biological process unknown GO:0000004– Molecular function unknown GO:0005554– Cellular component unknown GO:0008372
• NOT the same as having no annotation at all – No annotation means that no one has looked yet
Annotation of a genome
• GO annotations are always work in progress
• Part of normal curation process
– More specific information
– Better evidence code
• Replace obsolete terms
• “Last reviewed” date
How to access the Gene ontology and its annotations
1. Downloads • Ontologies
• Annotations : Gene association files
• Ontologies and Annotations
2. Web-based access • AmiGO (http://www.godatabase.org)
• QuickGO
(http://www.ebi.ac.uk/ego)
among others…
组别 第四讲:讨论论文(课堂讨论时间 5 分左右)
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