Expression-Based Cell Lineage Analysis inDrosophilaThrough a Course-Based Research Experience for Early Undergraduates
Author(s) -
John M. Olson,
Cory J. Evans,
Kathy Ngo,
Hee Jong Kim,
Joseph Duy Nguyen,
Kayla G H Gurley,
Truc Ta,
Vijay A. Patel,
Lisa Han,
Khoa T Truong-N,
Letty Liang,
Maggie K Chu,
Hiu Wai Lam,
Hannah G Ahn,
Abhik K. Banerjee,
In Young Choi,
Ross G. Kelley,
Naseem Moridzadeh,
Awais Khan,
Omair Khan,
Szuyao Lee,
Elizabeth B. Johnson,
Annie Tigranyan,
Jay Wang,
Anand Gandhi,
Manish M Padhiar,
Joseph Hargan Calvopina,
Kirandeep Sumra,
Kristy Ou,
Jessie C Wu,
Joseph N Dickan,
Sabrena M. Ahmadi,
Donald N Allen,
Van Nguyen Thanh,
Saif Ansari,
George Yeh,
Earl J. Yoon,
Kimberly Gon,
John Yuh-Lin Yu,
Johnny J. He,
Jesse M. Zaretsky,
Noemi E Lee,
Edward Kuoy,
Alexander N. Patananan,
Daniel Sitz,
PhuongThao Tran,
Minh-Tu Do,
Samira J Akhave,
Silverio D Alvarez,
Bobby Asem,
Neda Asem,
Nicole A Azarian,
Arezou Babaesfahani,
Ahmad Reza Bahrami,
Manjeet Bhamra,
Ragini Bhargava,
Rakesh Bhatia,
Subir Bhatia,
Nicholas Bumacod,
Jonathan J Caine,
Thomas A. Caldwell,
Nicole A. Calica,
Elise M Calonico,
Carman Chan,
Helen H-L Chan,
Albert J. Chang,
Chiaen A. Chang,
Daniel Chang,
Jennifer Chang,
Nauman Charania,
Jasmine Y Chen,
Kevin Chen,
Lu Chen,
Yuyu Chen,
Derek J. Cheung,
Jesse J Cheung,
Jessica J Chew,
Nicole B Chew,
Cheng-An Tony Chien,
Alana M. Chin,
Chee Jia Chin,
Young-Ho Cho,
Man Ting Chou,
Ke-Huan K. Chow,
Carolyn Chu,
Derrick Chu,
Virginia Chu,
Katherine Chuang,
Arunit Singh Chugh,
Mark Cubberly,
Michael Guillermo Daniel,
Sangita Datta,
Raj Dhaliwal,
Jenny Dinh,
Dhaval Dixit,
Emmylou Dowling,
Melinda Feng,
Christopher M From,
Daisuke Furukawa,
Himaja Gaddipati,
Lilit Gevorgyan,
Zunera Ghaznavi,
Tulika Ghosh,
Jaskaran Gill,
David Groves,
Kalkidan K Gurara,
Ali R Haghighi,
Alexandra L. Havard,
Nasser Heyrani,
Tanya Hioe,
Kirim Hong,
Justin J Houman,
Molly Howland,
Elaine L Hsia,
Justin Hsueh,
Stacy Hu,
Andrew Huang,
Jasmine C. Huynh,
Jenny Huynh,
Chris Iwuchukwu,
Michael J. Jang,
An An Jiang,
Simran Kahlon,
PeiYun Kao,
Manpreet Kaur,
Matthew G Keehn,
Elizabeth J Kim,
Hannah Kim,
Michelle Kim,
Shawn J. Kim,
Aleksandar Kitich,
Ross A Kornberg,
Nicholas G Kouzelos,
Jane Kuon,
Bryan Lau,
Roger K. Lau,
Rona W Y Law,
Huy Le,
Rachael Le,
Carrou Lee,
Christina Lee,
Grace E. Lee,
Kenneth Lee,
Michelle J. Lee,
Regina V Lee,
Sean H K Lee,
Sung Kyu Lee,
Sung-Ling D Lee,
Yong Jun Lee,
Megan J Leong,
David M Li,
Hao Li,
Xingfu Liang,
Eric Y. Lin,
Michelle M Lin,
Peter Lin,
Tiffany Lin,
Stacey Lu,
Serena S. Luong,
Schmidt Jessica,
Li Ma,
Justin N Maghen,
Sravya Mallam,
Shivtaj Mann,
Jason H. Melehani,
C. Ryan Miller,
Nitish Mittal,
Carmel M Moazez,
Susie Moon,
Rameen S. Moridzadeh,
Kaley Ngo,
Hanh Hieu Nguyen,
Kambria Nguyen,
Thien H. Nguyen,
Angela W Nieh,
Isabella Niu,
Seo-Kyung Oh,
Jessica R. Ong,
Randi K Oyama,
Joseph Park,
Yaelim A Park,
Kimberly A Passmore,
Ami Patel,
Amy A. Patel,
Dhruv Patel,
Tirth Patel,
Katherine E. Peterson,
An Huynh Pham,
Steven Pham,
Melissa E. Phuphanich,
Neil D Poria,
Alexandra L. Pourzia,
Victoria Ragland,
Riki D Ranat,
Cameron M Rice,
David Roh,
Solomon Rojhani,
Lili Sadri,
Agafe Saguros,
Zainab Saifee,
Manjot Sandhu,
Brooke Scruggs,
Lisa M Scully,
Vanessa Shih,
Brian A Shin,
Tamir Sholklapper,
Harnek Singh,
Sumedha Singh,
Sondra L Snyder,
Katelyn F Sobotka,
Sae Ho Song,
Siddharth Sukumar,
Halley C Sullivan,
Mark Sy,
Hande Tan,
Sara Taylor,
Shivani K Thaker,
Tulsi Thakore,
Gregory E. Tong,
Jacinda N. Tran,
Jonathan Tran,
Tuan Tran,
Vivi Tran,
Cindy L Trang,
Hung Trinh,
Peter Trinh,
Han-Ching Tseng,
Ted T Uotani,
Akram V Uraizee,
Kent K T Vu,
Kevin Vu,
Komal Wadhwani,
Paluk K Walia,
Rebecca S Wang,
Shuo Wang,
Stephanie J. Wang,
Danica Wiredja,
Andrew L. Wong,
Daniel Wu,
Xi Xue,
Griselda Yanez,
Yung-Hsuan Yang,
Zhong Ye,
Victor Yee,
Cynthia Yeh,
Yue Zhao,
Xin Zheng,
Anke Ziegenbalg,
Jon Alkali,
Ida Azizkhanian,
Akash Bhakta,
L. J. Berry,
Ryen Castillo,
Sonja Darwish,
Holly Dickinson,
Ritika Dutta,
Rahul Kumar Ghosh,
Riley Guerin,
Jonathan Hofman,
Garrick Iwamoto,
Sarah Kang,
Andrew Kim,
Brian Kim,
Hanwool Kim,
Kristine Kim,
Suji Kim,
Julie H. Ko,
Michael Koenig,
Alejandro LaRiviere,
Clifton Lee,
Jiwon Lee,
Brandon E. Lung,
Max Mittelman,
Mark Murata,
Yujin Park,
Daniel Rothberg,
Ben Sprung-Keyser,
Kunal Thaker,
Vivian Yip,
Paul D Picard,
Francie Diep,
Nikki Villarasa,
Volker Hartenstein,
Casey Shapiro,
Marc LevisFitzgerald,
Leslie Jaworski,
David Loppato,
Ira E. Clark,
Utpal Banerjee
Publication year - 2019
Publication title -
g3 genes genomes genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.468
H-Index - 66
ISSN - 2160-1836
DOI - 10.1534/g3.119.400541
Subject(s) - biology , lineage (genetic) , drosophila (subgenus) , expression (computer science) , stem cell , computational biology , gene , evolutionary biology , genetics , computer science , programming language
A variety of genetic techniques have been devised to determine cell lineage relationships during tissue development. Some of these systems monitor cell lineages spatially and/or temporally without regard to gene expression by the cells, whereas others correlate gene expression with the lineage under study. The G AL4 T echnique for R eal-time a nd C lonal E xpression (G-TRACE) system allows for rapid, fluorescent protein-based visualization of both current and past GAL4 expression patterns and is therefore amenable to genome-wide expression-based lineage screens. Here we describe the results from such a screen, performed by undergraduate students of the University of California, Los Angeles (UCLA) Undergraduate Research Consortium for Functional Genomics (URCFG) and high school summer scholars as part of a discovery-based education program. The results of the screen, which reveal novel expression-based lineage patterns within the brain, the imaginal disc epithelia, and the hematopoietic lymph gland, have been compiled into the G-TRACE Expression Database (GED), an online resource for use by the Drosophila research community. The impact of this discovery-based research experience on student learning gains was assessed independently and shown to be greater than that of similar programs conducted elsewhere. Furthermore, students participating in the URCFG showed considerably higher STEM retention rates than UCLA STEM students that did not participate in the URCFG, as well as STEM students nationwide.
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