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1 Genome Transcriptome Proteome Metabolome Genome: the complete - - PDF document
1 Genome Transcriptome Proteome Metabolome Genome: the complete - - PDF document
Proteomics PROTEOMICS: The analysis of the entire protein PROTEOMICS complement expressed by a genome, or by a cell or tissue type PROTEOMICS: The study of biological systems based on PROTEOMICS global knowledge of genomes, transcriptomes,
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Transcriptom ics
- Transcripts are link between genome and proteome
- Transcriptome is intensely interesting to evolutionary biologists
- Regulation of transcription is the key process for adaptation of
an organism to changes in environmental conditions and survival
- stress: flight or fight
- infection: immune and other defense responses
- environmental changes: hibernation and torpor
- etc.
Problem : RNA is very difficult to w ork w ith
- mRNA transtripomics uses an enzyme called reverse
trasncriptase to convert it to com plim entary DNA ( cDNA)
- cDNA: (i) stable, and (ii) no introns!
- EST: expressed sequence tag
- EST is generated by sequencing from one of the ends of the
cDNA (hence you can have 5’ ESTs or 3’ ESTs)
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Transcriptom ics
- Trascriptomics studies processes at genome-wide scale
- Genome ⇒ DNA-microarray ⇒ mRNA level of all genes in
genome
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Transcriptom ics
- Molecular genetics: Which genes are activated by a particular
transcription factor?
- Medical research: What are the characteristic patterns of gene
expression in cancer cells?
- Practical medicine: What are the characteristic patterns for
different diseases? The patterns can then be used to screen for a particular disease
- Evolutionary comparative biology: What are the differences in
gene expression between human and chimps
- Molecular ecology and evolution: What is difference in gene
expression of the same species in different environment Proteome Proteome: Complete set of proteins, structures, post- translational modifications, localizations Proteomics Proteomics: Study of the above as a complex system
Genome Transcriptome Proteome Metabolome
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Proteomes are much much more complex than genomes
- min 1 proteome per tissue type (250 tissue types in humans)
- sub cellular fractions have different proteomes
- proteomes respond to external influences (food, drugs, stress, etc.)
- proteomes change in time and space
How many proteomes per individual? > 106 ? Types of Proteomics
- Protein Expression
– Quantitative study of protein expression between samples that differ by some variable
- Structural Proteomics
– Goal is to map out the 3-D structure of proteins and protein complexes
- Functional Proteomics
– To study protein-protein interaction, 3-D structures, cellular localization, interactions with DNA, RNA, and other chemicals (ligands, co-factors, etc.) to understand the functions of proteins and interacting sets of proteins.
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Remember alternative splicing
‘-omics’ and molecule evolution: alternative splicing
Before ‘omics’: Alternatively spliced genes ~ 5% After ` omics’: Alternatively spliced genes from 40% -60% . Finding alt. Splicing by:
- Aligning ESTs/ cDNAs to Genomic DNA
- Aligning ESTs/ cDNAs to expressed proteins
- Aligning ESTs/ cDNAa to (presumably) introns
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Is there a relationship between alternative splicing and mixing and matching modules?
Kriventseva et al (2003) TIG 19:124-128
1. Insertion and deletion of complete modules occurs more frequently than expected by chance 2. Disruption of modules occurs less frequently than expected by chance
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Metabolome Metabolome: Complete set of metabolites, concentrations, and contextual metabolic pathways Metabolomics Metabolomics: : Study of the above as a complex interacting system. Genome Transcriptome Proteome Metabolome
Metaboloimcs:
- Metabolites are the end products of gene expression
- Metabolomics provides a way of looking at genes as
part of a functional system (signaling, regulation, etc.)
- Metabolome represents a new way of measuring the
phenotype of a cell or an organism. Exciting but extremely complex and challenging
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Systems Biology (even more challenging):
- (genomics + transcriptomics + protomics + metabolomics)
- view these data as a network that results from system
- model the system by trying to infer the paths of the
network and the linear and nonlinear correlations of the components of the system.
- components need not be individual elements of the