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Grant: CIHR Fellowship

Direct Payment

$150,000.00

Dissecting the effects of mutation order and timing on lung tumourigenesis

EF 2020-21

Résumé
Lung cancer results from mutations in tumour suppressor genes and oncogenes. DNA sequencing of patient tumours indicates that cancer-causing mutations arise with defined sequential orders, where specific mutations mostly occur early during tumour development, while other mutations tend to occur later. Why mutations follow these defined orders is unknown, and their impacts on tumour behaviour have not been explored. To better understand the role of mutation order in lung tumour development, I will combine an innovative DNA barcoding approach with mouse models that closely represent human lung cancer. This approach labels each tumour and its associated genetic mutation with a unique DNA barcode, allowing the growth of thousands of tumours with different mutations to be tracked and measured simultaneously. To understand the effect of mutation timing, genes that suppress tumour growth will be inactivated at different time points after tumors start growing. This will reveal the impact each genetic mutation has on tumour growth at different time points along a tumour's developmental trajectory. Next, I will introduce cancer-causing mutations sequentially into normal lung cells. By analyzing the impact each mutation has on normal cells' growth, I will uncover mutations capable of initiating lung tumours. To gain insights into the molecular mechanism of mutation order on tumour development, I will determine the effect of mutation order on gene accessibility using single-cell sequencing. Overall, this study will provide a better understanding of how mutation order and timing drive cancer which could inform prevention, detection, and early intervention strategies.
Programme
CIHR Fellowship
Bénéficiaire
Emplacement
California, United States of America
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
440596
Name
Tang Yuning J
Region
California
Country
United States of America
Orgtype
Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Fellowships - Post-PhD
Projecttitle
Dissecting the effects of mutation order and timing on lung tumourigenesis
Programtype2
Fellowship Programs
Orgnameinp2
Direct Payment
Cihramount2
$150,000
Cihrequipment2
$0
Programname2
CIHR Fellowship
Keyworddelim
Cancer Genetics; Computation Biology; Epigenetics; Gene-Editing; Next-Generation Sequencing
Abstract
Lung cancer results from mutations in tumour suppressor genes and oncogenes. DNA sequencing of patient tumours indicates that cancer-causing mutations arise with defined sequential orders, where specific mutations mostly occur early during tumour development, while other mutations tend to occur later. Why mutations follow these defined orders is unknown, and their impacts on tumour behaviour have not been explored. To better understand the role of mutation order in lung tumour development, I will combine an innovative DNA barcoding approach with mouse models that closely represent human lung cancer. This approach labels each tumour and its associated genetic mutation with a unique DNA barcode, allowing the growth of thousands of tumours with different mutations to be tracked and measured simultaneously. To understand the effect of mutation timing, genes that suppress tumour growth will be inactivated at different time points after tumors start growing. This will reveal the impact each genetic mutation has on tumour growth at different time points along a tumour's developmental trajectory. Next, I will introduce cancer-causing mutations sequentially into normal lung cells. By analyzing the impact each mutation has on normal cells' growth, I will uncover mutations capable of initiating lung tumours. To gain insights into the molecular mechanism of mutation order on tumour development, I will determine the effect of mutation order on gene accessibility using single-cell sequencing. Overall, this study will provide a better understanding of how mutation order and timing drive cancer which could inform prevention, detection, and early intervention strategies.
Competitiondate
202012
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Tang, Yuning J
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $150,000~ $0~