URCFG
URCFG applies the G-TRACE system to perform expression-based cell lineage analysis in Drosophila by using GAL4/UAS-driven fluorescent protein reporters to record current and historical gene expression for spatial and temporal mapping of cellular lineages.
Key Features:
- Fluorescent Protein-Based Visualization: Uses GAL4/UAS-driven fluorescent protein reporters to visualize current and historical gene expression within cells.
- Expression-Based Lineage Tracing: Correlates GAL4-driven expression with cellular progeny to trace lineage relationships over time.
- Genome-Wide Expression-Based Lineage Screens: Supports genome-wide screening with G-TRACE to identify lineage patterns and novel lineage relationships.
- G-TRACE Expression Database (GED): Compiles G-TRACE screen results across tissues such as brain, imaginal disc epithelia, and hematopoietic lymph gland for cross-study comparison.
- Spatial and Temporal Monitoring: Combines spatial mapping and temporal history of gene expression to distinguish current versus past expression profiles.
Scientific Applications:
- Developmental lineage mapping: Map cell lineages and lineage patterns in Drosophila tissues including brain, imaginal discs, and hematopoietic lymph gland.
- Identification of lineage relationships: Detect novel lineage relationships and expression patterns via genome-wide G-TRACE screens.
- Temporal dynamics of gene expression: Analyze historical versus current gene expression to study timing of cellular differentiation during development.
- Resource for comparative analyses: Use GED as a repository to compare expression-based lineage patterns across tissues and studies.
Methodology:
The G-TRACE system employs the GAL4/UAS binary expression system to drive fluorescent protein reporters under specific genetic promoters and traces lineage relationships by correlating gene expression with cellular progeny over time, supporting spatial and temporal analysis.
Topics
Details
- Added:
- 1/14/2020
- Last Updated:
- 1/16/2021
Operations
Publications
Olson JM, Evans CJ, Ngo KT, Kim HJ, Nguyen JD, Gurley KGH, Ta T, Patel V, Han L, Truong-N KT, Liang L, Chu MK, Lam H, Ahn HG, Banerjee AK, Choi IY, Kelley RG, Moridzadeh N, Khan AM, Khan O, Lee S, Johnson EB, Tigranyan A, Wang J, Gandhi AD, Padhiar MM, Calvopina JH, Sumra K, Ou K, Wu JC, Dickan JN, Ahmadi SM, Allen DN, Mai VT, Ansari S, Yeh G, Yoon E, Gon K, Yu JY, He J, Zaretsky JM, Lee NE, Kuoy E, Patananan AN, Sitz D, Tran P, Do M, Akhave SJ, Alvarez SD, Asem B, Asem N, Azarian NA, Babaesfahani A, Bahrami A, Bhamra M, Bhargava R, Bhatia R, Bhatia S, Bumacod N, Caine JJ, Caldwell TA, Calica NA, Calonico EM, Chan C, Chan HH, Chang A, Chang C, Chang D, Chang JS, Charania N, Chen JY, Chen K, Chen L, Chen Y, Cheung DJ, Cheung JJ, Chew JJ, Chew NB, Chien CT, Chin AM, Chin CJ, Cho Y, Chou MT, Chow KK, Chu C, Chu DM, Chu V, Chuang K, Chugh AS, Cubberly MR, Daniel MG, Datta S, Dhaliwal R, Dinh J, Dixit D, Dowling E, Feng M, From CM, Furukawa D, Gaddipati H, Gevorgyan L, Ghaznavi Z, Ghosh T, Gill J, Groves DJ, Gurara KK, Haghighi AR, Havard AL, Heyrani N, Hioe T, Hong K, Houman JJ, Howland M, Hsia EL, Hsueh J, Hu S, Huang AJ, Huynh JC, Huynh J, Iwuchukwu C, Jang MJ, Jiang AA, Kahlon S, Kao P, Kaur M, Keehn MG, Kim EJ, Kim H, Kim MJ, Kim SJ, Kitich A, Kornberg RA, Kouzelos NG, Kuon J, Lau B, Lau RK, Law R, Le HD, Le R, Lee C, Lee C, Lee GE, Lee K, Lee MJ, Lee RV, Lee SHK, Lee SK, Lee SD, Lee YJ, Leong MJ, Li DM, Li H, Liang X, Lin E, Lin MM, Lin P, Lin T, Lu S, Luong SS, Ma JS, Ma L, Maghen JN, Mallam S, Mann S, Melehani JH, Miller RC, Mittal N, Moazez CM, Moon S, Moridzadeh R, Ngo K, Nguyen HH, Nguyen K, Nguyen TH, Nieh AW, Niu I, Oh S, Ong JR, Oyama RK, Park J, Park YA, Passmore KA, Patel A, Patel AA, Patel D, Patel T, Peterson KE, Pham AH, Pham SV, Phuphanich ME, Poria ND, Pourzia A, Ragland V, Ranat RD, Rice CM, Roh D, Rojhani S, Sadri L, Saguros A, Saifee Z, Sandhu M, Scruggs B, Scully LM, Shih V, Shin BA, Sholklapper T, Singh H, Singh S, Snyder SL, Sobotka KF, Song SH, Sukumar S, Sullivan HC, Sy M, Tan H, Taylor SK, Thaker SK, Thakore T, Tong GE, Tran JN, Tran J, Tran TD, Tran V, Trang CL, Trinh HG, Trinh P, Tseng HH, Uotani TT, Uraizee AV, Vu KKT, Vu KKT, Wadhwani K, Walia PK, Wang RS, Wang S, Wang SJ, Wiredja DD, Wong AL, Wu D, Xue X, Yanez G, Yang Y, Ye Z, Yee VW, Yeh C, Zhao Y, Zheng X, Ziegenbalg A, Alkali J, Azizkhanian I, Bhakta A, Berry L, Castillo R, Darwish S, Dickinson H, Dutta R, Ghosh RK, Guerin R, Hofman J, Iwamoto G, Kang S, Kim A, Kim B, Kim H, Kim K, Kim S, Ko J, Koenig M, LaRiviere A, Lee C, Lee J, Lung B, Mittelman M, Murata M, Park Y, Rothberg D, Sprung-Keyser B, Thaker K, Yip V, Picard P, Diep F, Villarasa N, Hartenstein V, Shapiro C, Levis-Fitzgerald M, Jaworski L, Loppato D, Clark IE, Banerjee U. Expression-Based Cell Lineage Analysis in<i>Drosophila</i>Through a Course-Based Research Experience for Early Undergraduates. G3 Genes|Genomes|Genetics. 2019;9(11):3791-3800. doi:10.1534/g3.119.400541. PMID:31690598. PMCID:PMC6829132.