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1. Expression-Based Cell Lineage Analysis in Drosophila Through a Course-Based Research Experience for Early Undergraduates

Author

John M. Olson, Cory J. Evans, Kathy T. Ngo, Hee Jong Kim, Joseph Duy Nguyen, Kayla G. H. Gurley, Truc Ta, Vijay Patel, Lisa Han, Khoa T. Truong-N, Letty Liang, Maggie K. Chu, Hiu Lam, Hannah G. Ahn, Abhik Kumar Banerjee, In Young Choi, Ross G. Kelley, Naseem Moridzadeh, Awais M. Khan, Omair Khan, Szuyao Lee, Elizabeth B. Johnson, Annie Tigranyan, Jay Wang, Anand D. Gandhi, Manish M. Padhiar, Joseph Hargan Calvopina, Kirandeep Sumra, Kristy Ou, Jessie C. Wu, Joseph N. Dickan, Sabrena M. Ahmadi, Donald N. Allen, Van Thanh Mai, Saif Ansari, George Yeh, Earl Yoon, Kimberly Gon, John Y. Yu, Johnny 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 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 Chang, Chiaen Chang, Daniel Chang, Jennifer S. 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, Youngho Cho, Man Ting Chou, Ke-Huan K. Chow, Carolyn Chu, Derrick M. Chu, Virginia Chu, Katherine Chuang, Arunit Singh Chugh, Mark R. 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 J. 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 J. Huang, Jasmine C. Huynh, Jenny Huynh, Chris Iwuchukwu, Michael J. Jang, An An Jiang, Simran Kahlon, Pei-Yun Kao, Manpreet Kaur, Matthew G. Keehn, Elizabeth J. Kim, Hannah Kim, Michelle J. Kim, Shawn J. Kim, Aleksandar Kitich, Ross A. Kornberg, Nicholas G. Kouzelos, Jane Kuon, Bryan Lau, Roger K. Lau, Rona Law, Huy D. Le, Rachael Le, Carrou Lee, Christina Lee, Grace E. Lee, Kenny 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 Lin, Michelle M. Lin, Peter Lin, Tiffany Lin, Stacey Lu, Serena S. Luong, Jessica S. Ma, Li Ma, Justin N. Maghen, Sravya Mallam, Shivtaj Mann, Jason H. Melehani, Ryan C. Miller, Nitish Mittal, Carmel M. Moazez, Susie Moon, Rameen Moridzadeh, Kaley Ngo, Hanh H. 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 V. Pham, Melissa E. Phuphanich, Neil D. Poria, Alexandra 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 K. Taylor, Shivani K. Thaker, Tulsi Thakore, Gregory E. Tong, Jacinda N. Tran, Jonathan Tran, Tuan D. Tran, Vivi Tran, Cindy L. Trang, Hung G. Trinh, Peter Trinh, Han-Ching H. Tseng, Ted T. Uotani, Akram V. Uraizee, Kent K. T. Vu, Kevin K. T. Vu, Komal Wadhwani, Paluk K. Walia, Rebecca S. Wang, Shuo Wang, Stephanie J. Wang, Danica D. Wiredja, Andrew L. Wong, Daniel Wu, Xi Xue, Griselda Yanez, Yung-Hsuan Yang, Zhong Ye, Victor W. Yee, Cynthia Yeh, Yue Zhao, Xin Zheng, Anke Ziegenbalg, Jon Alkali, Ida Azizkhanian, Akash Bhakta, Luke 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 Ko, Michael Koenig, Alejandro LaRiviere, Clifton Lee, Jiwon Lee, Brandon Lung, Max Mittelman, Mark Murata, Yujin Park, Daniel Rothberg, Ben Sprung-Keyser, Kunal Thaker, Vivian Yip, Paul Picard, Francie Diep, Nikki Villarasa, Volker Hartenstein, Casey Shapiro, Marc Levis-Fitzgerald, Leslie Jaworski, David Loppato, Ira E. Clark, and Utpal Banerjee

Subjects
g-trace, gene expression, education, stem, cure, Genetics, QH426-470
Abstract

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 GAL4 Technique for Real-time and Clonal Expression (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.

Published
2019
Full Text
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2. Expression-Based Cell Lineage Analysis inDrosophilaThrough a Course-Based Research Experience for Early Undergraduates

Author

Daniel Chang, Earl Yoon, David Loppato, Justin N. Maghen, Silverio D. Alvarez, Kristy Ou, Katherine E. Peterson, Manjeet Bhamra, Helen H.-L. Chan, Lilit Gevorgyan, Clifton Lee, Peter Trinh, David M. Li, Elizabeth Kim, Garrick Iwamoto, Yue Zhao, Victor W. Yee, Kimberly Gon, Lisa M. Scully, Akram V. Uraizee, Sangita Datta, Sae Ho Song, Lisa Han, Andrew C. J. Huang, PhuongThao Tran, George K. Yeh, John M. Olson, Shawn J. Kim, Lili Sadri, Hannah G. Ahn, Grace E. Lee, Cindy L. Trang, Arezou Babaesfahani, Stephanie Wang, Saif Ansari, Hanwool Kim, Rakesh Bhatia, Brandon Lung, Victoria Ragland, Noemi E. Lee, Casey Shapiro, Van Thanh Mai, Sean H. K. Lee, Holly Dickinson, Joseph Park, Rona Law, Carrou Lee, Cameron M. Rice, Kirandeep Sumra, Alexandra L. Pourzia, Raj Dhaliwal, Vijay A. Patel, Michael Guillermo Daniel, Elaine L. Hsia, Hiu Wai Lam, Yujin Park, Jason H. Melehani, Annie Tigranyan, Xin Zheng, Nasser Heyrani, Jennifer Chang, Neda Asem, Joseph Duy Nguyen, Hanh H. Nguyen, Ted T. Uotani, Harnek Singh, Riley Guerin, Han-Ching H. Tseng, Kevin K. T. Vu, Max Mittelman, Gregory E. Tong, Cynthia Yeh, Jonathan Tran, Steven V. Pham, Bryan Lau, Kenny Lee, Tulika Ghosh, Roger K. Lau, An Huynh Pham, Christopher M. From, Elizabeth B. Johnson, Bobby Asem, Abhik Banerjee, Utpal Banerjee, Derek J. Cheung, Kambria Nguyen, Zainab Saifee, Carmel M. Moazez, Hung G. Trinh, Hannah Kim, Sonja Darwish, Lu Chen, Sondra L. Snyder, Pei-Yun Kao, Kevin Chen, Youngho Cho, Joseph Hargan Calvopina, Neil D. Poria, Vanessa Shih, Danica D. Wiredja, Shuo Wang, Zunera Ghaznavi, Jenny Dinh, Andrew J. Kim, Simran Kahlon, Awais M. Khan, Yuyu Chen, Julie Ko, Elise M. Calonico, Joseph N. Dickan, Huy D. Le, Leslie Jaworski, Xingfu Liang, Brooke Scruggs, Marc Levis-Fitzgerald, Susie Moon, Sara K. Taylor, An An Jiang, Nicholas Bumacod, Siddharth Sukumar, Matthew G. Keehn, Aleksandar Kitich, Cheng-An Tony Chien, Alexander N. Patananan, Jesse J. Cheung, Ragini Bhargava, Michael J. Jang, Alana M. Chin, Nikki Villarasa, Carman Chan, Ami Patel, Stacy Hu, Chiaen Chang, Solomon Rojhani, Michelle J. Kim, Shivani K. Thaker, Daisuke Furukawa, Arunit Singh Chugh, Volker Hartenstein, Hao Li, Akash Bhakta, Khoa T. Truong-N, Mark Sy, Daniel Rothberg, Melinda Feng, Kristine Kim, Nicole A. Azarian, David J. Groves, Sravya Mallam, Man Ting Chou, Katelyn F. Sobotka, Kathy T. Ngo, Justin Hsueh, Jasmine Y. Chen, Jessica Chew, Ira E. Clark, Zhong Ye, Mark R. Cubberly, Komal Wadhwani, Sumedha Singh, Jonathan J. Caine, Tamir Sholklapper, Jane Kuon, Nicholas G. Kouzelos, Emmylou Dowling, Francie Diep, Carolyn Chu, Kalkidan K. Gurara, Isabella Niu, Yaelim A. Park, Yong Jun Lee, Ali R. Haghighi, Nauman Charania, Nitish Mittal, Chee Jia Chin, Ben Sprung-Keyser, Naseem Moridzadeh, Donald N. Allen, Virginia Chu, Cory J. Evans, Luke Berry, Ahmad Bahrami, Justin J. Houman, Jesse M. Zaretsky, Kimberly A. Passmore, Chris Iwuchukwu, Rebecca S. Wang, Christina Lee, David Roh, Hee Jong Kim, Szuyao Lee, Rameen S. Moridzadeh, Randi K. Oyama, Amy A. Patel, Regina Lee, Serena S. Luong, Manpreet Kaur, Dhruv Patel, Xi Xue, Johnny He, Seo-Kyung Oh, Sabrena M. Ahmadi, Angela W. Nieh, Anke Ziegenbalg, Thien Nguyen, Jacinda N. Tran, John Y. Yu, Brian S. Kim, Eric Lin, Omair Khan, Ross G. Kelley, Sung Kyu Lee, Jessica S. Ma, Tanya Hioe, Nicole B. Chew, Kayla G. H. Gurley, Mark R Murata, Jiwon Lee, Hande Tan, Andrew L. Wong, Michael Koenig, Sung-Ling D. Lee, In Young Choi, Daniel Sitz, Paluk K. Walia, Maggie K. Chu, Ke-Huan K. Chow, Jessica R. Ong, Michelle J. Lee, Jenny Huynh, Rachael Le, Riki D. Ranat, Griselda Yanez, Yung-Hsuan Yang, Molly Howland, Ross A. Kornberg, Agafe Saguros, Peter Lin, Jessie C. Wu, Rahul Kumar Ghosh, Anand D. Gandhi, Jaskaran Gill, Edward Kuoy, Tulsi Thakore, Ritika Dutta, Himaja Gaddipati, Truc Ta, Melissa E. Phuphanich, Stacey Lu, Suji Kim, Letty Liang, Megan J. Leong, Derrick M. Chu, Michelle M. Lin, Alejandro LaRiviere, Alexandra L. Havard, Subir Bhatia, Minh-Tu Do, Sarah Kang, Jon Alkali, Kent K. T. Vu, Brian A. Shin, Samira J. Akhave, Kirim Hong, Thomas A. Caldwell, Jonathan Hofman, Vivi Tran, Katherine Chuang, Paul D. Picard, Jay Wang, Nicole A. Calica, Tiffany Y. Lin, Ryan C. Miller, Ida Azizkhanian, Manjot Sandhu, Dhaval Dixit, Kaley Ngo, Daniel Wu, Halley C. Sullivan, Jasmine C. Huynh, Tirth Patel, Vivian Yip, Manish M. Padhiar, Li Ma, Ryen Castillo, Shivtaj Mann, Tuan D. Tran, Albert J. Chang, and Kunal Thaker

Subjects
Lineage (genetic), QH426-470, Biology, 03 medical and health sciences, Gene expression, Genetics, stem, Molecular Biology, Drosophila, Genetics (clinical), 030304 developmental biology, education, 0303 health sciences, g-trace, 4. Education, 05 social sciences, 050301 education, biology.organism_classification, cure, Imaginal disc, Haematopoiesis, Undergraduate research, Expression (architecture), Evolutionary biology, gene expression, 0503 education, Functional genomics
Abstract

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 GAL4 Technique for Real-time and Clonal Expression (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.

Published
2019
Full Text
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3. Experimental performance evaluation and parametric study of a solar-ground source heat pump system operated in heating modes

Author

Xingfu Liang, Weibo Yang, and Heng Zhang

Subjects
020209 energy, Mechanical Engineering, Nuclear engineering, Mode (statistics), Plate heat exchanger, 02 engineering and technology, Building and Construction, TRNSYS, Thermal energy storage, Pollution, Industrial and Manufacturing Engineering, law.invention, General Energy, 020401 chemical engineering, Volume (thermodynamics), law, Thermal, 0202 electrical engineering, electronic engineering, information engineering, Environmental science, 0204 chemical engineering, Electrical and Electronic Engineering, Evaporator, Civil and Structural Engineering, Heat pump
Abstract

The dual heat source coupling modes of solar-ground source heat pump system (SGSHPS) directly determine its operation characteristics. In this paper, the thermal performance of a SGSHPS operated in different dual heat source coupling modes were studied experimentally. The unit COP, solar collecting efficiency and inlet and outlet temperatures of GHE were tested for various modes. The results show that for the combination operation mode, solar and ground heat source are dynamically coupled by the water tank and plate heat exchanger, and the average unit COP and collecting efficiency are 3.61 and 51.5%, respectively. For the water tank heat storage mode, the inlet water temperature of evaporator in the daytime stop mode of GSHP is 1.85 °C higher than daytime operation mode of GSHP, and the average unit COP and collecting efficiency are respectively 3.43 and 34.8%, 3.91and 34.9% for the daytime stop mode of GSHP and daytime operation mode of GSHP. For the ground heat storage mode, the ground temperature can be improved effectively for ground continuous heat storage mode and the outlet temperature of GHE can be increased significantly for ground intermittent heat storage mode. The average unit COP and collecting efficiency are 3.65 and 47.9%, 3.8 and 41.5% for the ground intermittent and continuous heat storage mode, respectively. A TRNSYS dynamical simulation model of the SGSHPS was established to explore the influences of key parameters on the system performance. The results indicate that the collector area and GHE number have evident influences on the system efficiency, but the impact of water tank volume is very small. The suitable collector area and GHE number are found to be 80 m2 and 9, respectively, and the water tank volume should be set as small as possible with the permission of actual conditions.

Published
2018
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4. A Numerical Model for the Simulation of a Vertical U-Bend Ground Heat Exchanger Used in a Ground-Coupled Heat Pump

Author

Weibo Yang, Zhenqian Chen, Xingfu Liang, and Mingheng Shi

Subjects
Renewable Energy, Sustainability and the Environment, Water table, Advection, Chemistry, Mechanics, Physics::Geophysics, law.invention, Soil thermal properties, law, Heat transfer, Coupling (piping), Geotechnical engineering, Ground heat exchanger, Groundwater, Heat pump
Abstract

Heat transfer between the ground heat exchanger (GHE) and surrounding soil is a common problem for the optimum design and simulation of ground-coupled heat pump (GCHP). In this article, a quasi-three-dimensional numerical model of vertical U-bend GHE was proposed and developed by coupling the one-dimensional model of fluid in the depth direction with the two-dimensional heat transfer model of soil in the level direction but considering the soil temperature variation along depth. In the model, the soil in depth direction was divided into saturated and unsaturated regions by water table, and the influence of groundwater advection on the heat transfer performance of GHE was considered for the saturated soil region. Based on the model, the variations of heat rejection and fluid outlet temperature of GHE with time were discussed, and the influences of soil thermal properties and groundwater advection on the heat transfer performance of GHE were analyzed. The results show that the heat rejection in cooling mode...

Published
2014
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