Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Suvro Datta"'
Autor:
Greg Foltz, Parvinder Hothi, Ali Kriedberg, Krissy Brouner, David Feng, Chantal Murthy, Robert Howard, Robert C. Rostomily, David Sandman, Eric Olson, Nadezhda Dotson, Nameeta Shah, Guangyu Gu, Kris Bickley, Lydia Ng, Nika Hejazinia, John W. Phillips, Leonard Kuan, Charles Cobbs, Garrett Gee, Tim A. Dolbeare, Tsega Desta, Shiella Caldejon, Kiet Ngo, Haley Gittleman, Andrew F. Boe, Hwahyung Lee, Rachel A. Dalley, Steven J. White, Chris Lau, Bart Keogh, Graham Stockdale, Lindsey Gourley, Fuhui Long, Darren Bertagnolli, Andrew Sodt, Michael Hawrylycz, Amanda Ebbert, Jill S. Barnholtz-Sloan, David Rosen, Michael S. Fisher, Antonio Iavarone, Ed S. Lein, Stephanie Butler, Patrick J. Cimino, Tracy Lemon, Zack Riley, Allan R. Jones, Megha S Uppin, Mike Chapin, Naveed Mastan, Kimberly A. Smith, Michael E. Berens, Clifford R. Slaughterbeck, Aaron Szafer, Nick Dee, Wayne Wakeman, John G. Hohmann, Benjamin W. Gregor, Suvro Datta, Felix Lee, Ralph B. Puchalski, Melissa Reding, Nadiya V. Shapovalova, Xu Feng, Amy Bernard, Jae Guen Yoon, Erika Mott, Jeremy A. Miller, Justin D. Lathia, Steve R. Nomura, Steven Rostad, Kevin M. Joines, Paul Wohnoutka, Jeff Goldy, Don Marsh, Farrokh Farrokhi, Michael Lankerovich, C. Dirk Keene, Chinh Dang
Publikováno v:
Science (New York, N.Y.). 360(6389)
Anatomically correct tumor genomics Glioblastoma is the most lethal form of human brain cancer. The genomic alterations and gene expression profiles characterizing this tumor type have been widely studied. Puchalski et al. created the Ivy Glioblastom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::777459f28e0886dafd6df333f358ed19
https://pubmed.ncbi.nlm.nih.gov/29748285
https://pubmed.ncbi.nlm.nih.gov/29748285
Autor:
Susan M. Sunkin, Preston M. Cartagena, Robert Howard, Christian F. Beckmann, David Feng, Zeb Haradon, Chinh Dang, Angela L. Guillozet-Bongaarts, Derric Williams, Jeff Goldy, Yang Li, Rachel A. Dalley, Tracy Lemon, Darren Bertagnolli, Clifford R. Slaughterbeck, Simon Smith, Steve Horvath, Christof Koch, Amanda Ebbert, Andreas Jeromin, Paul Wohnoutka, Michael Hawrylycz, Andy J. Sodt, Beryl Swanson, H. Ronald Zielke, Zackery L. Riley, John A. Morris, Evan T. Lazarz, Chris Abajian, Allan R. Jones, Mike Chapin, Changkyu Lee, Pedro Adolfo Sequeira, Jay Schulkin, Christopher Lau, Jeremy A. Miller, Tim A. Dolbeare, Ling Li, Nick Dee, Sheana Parry, Barry Daly, Patrick D. Parker, Marty Kinnunen, Amy Bernard, Joshua J. Royall, Vance Faber, John G. Hohmann, Patrick R. Hof, Stephen M. Smith, Suvro Datta, Kimberly A. Smith, Elaine H. Shen, Caroline C. Overly, Ed S. Lein, Jayson M. Jochim, Benjamin W. Gregor, Melissa Reding, M. Mallar Chakravarty, Seth G. N. Grant, Lydia Ng, Jimmy Chong, Marquis P. Vawter, Daniel H. Geschwind, David R. Haynor, Andrew F. Boe, Louie N. van de Lagemaat, David R. Fowler
Publikováno v:
Nature, 489(7416), 391-399. Nature Publishing Group
Nature; Vol 489
Nature
Nature; Vol 489
Nature
Neuroanatomically precise, genome-wide maps of transcript distributions are critical resources to complement genomic sequence data and to correlate functional and genetic brain architecture. Here we describe the generation and analysis of a transcrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d15da80cab288961a32a4889bcf7ac5c
http://www.ncbi.nlm.nih.gov/pubmed/22996553
http://www.ncbi.nlm.nih.gov/pubmed/22996553
Publikováno v:
JALA: Journal of the Association for Laboratory Automation. 12:377-383
The Allen Brain Atlas (ABA) is a genomic scale, web-based 3D atlas of expression of more than 20,000 genes in the mouse brain visualized using colorimetric in situ hybridization. Completing the ABA required imaging more than 1 million individual brai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69f9e52a9a5335ce4654228df7f45420
https://doi.org/10.1016/j.jala.2007.07.003
https://doi.org/10.1016/j.jala.2007.07.003
Autor:
Aneta Czaplinska, Aimee L. Desaki, Maureen P. Howell, Bryan I. Smith, Kevin S. Brockway, Ben J. Duncan, Annabel R. Laramee, Shanna R. Fischer, Tsuey-Ming Chen, Reena Kawal, Nancy Ao, Agnes J. Liang, Amy Bernard, Casey Faber, Ed S. Lein, Geralyn J. Orta, Kevin R. Halverson, Jennifer G. Dougherty, Chinh Dang, Cliff Frensley, Caroline C. Overly, Judith J. Morgan, Murat B. Yaylaoglu, Mark S. Boguski, Lee R. Varnam, Susan M. Sunkin, Crissa K. Wolkey, Amanda Ebbert, Matthew J.A. Wood, Paul Wohnoutka, Benjamin A.C. Facer, Li Chen, Jesse Michaels, James H. Lake, Carey D. Teemer, Rebecca A. Johnson, Axel Visel, Marty Mortrud, Michael Hawrylycz, Christina Thaller, Nerick Mosqueda, Victoria Y. Wong, Tim A. Dolbeare, Xu Feng Yuan, Mei Chi Chin, Marcos J. Ruiz, Carol L. Thompson, Katherine Schaffnit, Theresa A. Zwingman, Sayan Dev Pathak, Tracy Lemon, Lydia Ng, Jimmy Chong, Lili K. Estin, Simon Smith, Rob Young, Kirk D. Larsen, Joshua J. Royall, Randy Ng, Rachel H. Knapik, Mikael Ayres, Nick Dee, Sheana Parry, Ray M. Whitlock, Kenda-Ruth Stumpf, Nadiya V. Shapovalova, Emi J. Byrnes, Taz Sivisay, Matthew R. Hart, Chihchau L. Kuan, Owen C. Pearson, Ellen Diep, Nadia R. Sarno, Madhavi Sutram, Andrew F. Boe, Clifford R. Slaughterbeck, Zackery L. Riley, Rebecca J. Morgan, Hong-Wei Dong, Tsega Desta, Patrick T. Karr, Andy J. Sodt, John G. Hohmann, Suvro Datta, Stephen A. Rowland, Tu H. Pak, Ralph B. Puchalski, Lin Chen, Nick N. Stewart, Ying Liu, Hannah R. Rockett, Brian L. Youngstrom, Darren P. Jeung, Lon T. Luong, Matthew J. Donelan, Amy Bensinger, Katie J. Glattfelder, Bin Zhang, Allan R. Jones, Gregor Eichele, Rick Fields, Sabrina N. Gates, Kimberly A. Smith, Angelene Tam, Brian E. Crook, Tim P. Fliss, Jolene Kidney, Christopher Lau
Publikováno v:
Nature. 445:168-176
Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach toward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2f1bcef3c42664230a6393b0bffc31d
https://doi.org/10.1038/nature05453
https://doi.org/10.1038/nature05453