Grant: Operating Grant
University of Toronto
$787,230.00
Regulation of alternative splicing in C. elegans by RRM-containing proteins
FY 2010-11
Summary
Proteins are the workhorses of the cell and each protein is encoded by a gene. The human genome contains ~25000 genes, yet there are several hundred thousand different proteins. One gene must encode many proteins - how can this be? The answer is a process called splicing.
Each gene is made up of blocks, or 'exons'. Splicing allows one gene to encode many proteins by using different combinations of exons. Imagine each protein is a word and that each exon of a gene encodes a letter. If a gene contained 8 exons, e.g. the letters S-P-L-I-C-I-N-G, then these letters can be used in different ways. They can be used to make full-length protein, SPLICING, or a shorter form like ICING. Crucially, more complex combinations like SPIN or SLICING can be made by skipping internal blocks. Each example here is a meaningful combination but there are other nonsensical possibilities like SPLG. How does the cell make only the meaningful splice forms and never the nonsensical ones? How do different tissues make different meaningful forms? This is what we want to examine.
Surrounding each exon are signals that tell the cell whether to use the exon or not. These signals are seen by splicing factors but we do not know which factor sees which signal. Splicing in nematode worms is very like that in human but the genome is simpler and we can do direct experiments. We have already used cutting edge tools to find all the ways that exons are combined in normal worms. What we propose to do now is to remove each splicing factor in turn and see the effect on the pattern of splicing. In this way we will see which splicing factor is required for which splicing events. By examining the signals present around the affected exons, we can predict which factor sees which splicing signals. Finally, we confirm this by examining which signal each factor sees in a test-tube. Together, this will give us a deep understanding of how splicing is regulated, and how errors in splicing lead to human disease.
Department
Program
Operating Grant
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
210686
Name
Fraser Andrew G
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
Regulation of alternative splicing in C. elegans by RRM-containing proteins
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$787,230
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
In Vivo Splicing Reporter; Next Generation Sequencing; Splicing; Transcriptome
Abstract
Proteins are the workhorses of the cell and each protein is encoded by a gene. The human genome contains ~25000 genes, yet there are several hundred thousand different proteins. One gene must encode many proteins - how can this be? The answer is a process called splicing.
Each gene is made up of blocks, or 'exons'. Splicing allows one gene to encode many proteins by using different combinations of exons. Imagine each protein is a word and that each exon of a gene encodes a letter. If a gene contained 8 exons, e.g. the letters S-P-L-I-C-I-N-G, then these letters can be used in different ways. They can be used to make full-length protein, SPLICING, or a shorter form like ICING. Crucially, more complex combinations like SPIN or SLICING can be made by skipping internal blocks. Each example here is a meaningful combination but there are other nonsensical possibilities like SPLG. How does the cell make only the meaningful splice forms and never the nonsensical ones? How do different tissues make different meaningful forms? This is what we want to examine.
Surrounding each exon are signals that tell the cell whether to use the exon or not. These signals are seen by splicing factors but we do not know which factor sees which signal. Splicing in nematode worms is very like that in human but the genome is simpler and we can do direct experiments. We have already used cutting edge tools to find all the ways that exons are combined in normal worms. What we propose to do now is to remove each splicing factor in turn and see the effect on the pattern of splicing. In this way we will see which splicing factor is required for which splicing events. By examining the signals present around the affected exons, we can predict which factor sees which splicing signals. Finally, we confirm this by examining which signal each factor sees in a test-tube. Together, this will give us a deep understanding of how splicing is regulated, and how errors in splicing lead to human disease.
Competitiondate
201009
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Fraser, Andrew G
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $787,230~ $0~