Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Christopher C Park"'
Autor:
Anatole Ghazalpour, Brian Bennett, Vladislav A Petyuk, Luz Orozco, Raffi Hagopian, Imran N Mungrue, Charles R Farber, Janet Sinsheimer, Hyun M Kang, Nicholas Furlotte, Christopher C Park, Ping-Zi Wen, Heather Brewer, Karl Weitz, David G Camp, Calvin Pan, Roumyana Yordanova, Isaac Neuhaus, Charles Tilford, Nathan Siemers, Peter Gargalovic, Eleazar Eskin, Todd Kirchgessner, Desmond J Smith, Richard D Smith, Aldons J Lusis
Publikováno v:
PLoS Genetics, Vol 7, Iss 6, p e1001393 (2011)
The relationships between the levels of transcripts and the levels of the proteins they encode have not been examined comprehensively in mammals, although previous work in plants and yeast suggest a surprisingly modest correlation. We have examined t
Externí odkaz:
https://doaj.org/article/63664e45601942ab95c1f5cacfda19f8
Autor:
Sangtae Ahn, Richard T Wang, Christopher C Park, Andy Lin, Richard M Leahy, Kenneth Lange, Desmond J Smith
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 6, p e1000407 (2009)
Meiotic mapping of quantitative trait loci regulating expression (eQTLs) has allowed the construction of gene networks. However, the limited mapping resolution of these studies has meant that genotype data are largely ignored, leading to undirected n
Externí odkaz:
https://doaj.org/article/fdfca47cfe294e2db74d8f40ee16d36e
Publikováno v:
Expert Review of Proteomics. 6:243-249
Integrating quantitative proteomic and transcriptomic datasets promises valuable insights in unraveling the molecular mechanisms of the brain. We concentrate on recent studies using mass spectrometry and microarray data to investigate transcript and
Autor:
Gregory D. Plowman, Casey Kopczynski, Kim Lickteig, Lori Friedman, Christopher G. Winter, Matt B. Mahoney, Kellie Whittaker, Helen Francis-Lang, Marcia Belvin, Matthew V. Lorenzi, Ferhad Ahmad, Hanife Esengil, Annette L. Parks, Brent A. Rupnow, Monique Nicoll, Feng Chen, Lynn M. Young, Mariano Tabios, Kyle A. Edgar, Christopher C. Park, Amanda Norton, Laleh Shayesteh, Pamela M. Carroll
Publikováno v:
Genetics. 170:161-171
Mutations that inactivate the retinoblastoma (Rb) pathway are common in human tumors. Such mutations promote tumor growth by deregulating the G1 cell cycle checkpoint. However, uncontrolled cell cycle progression can also produce new liabilities for
Autor:
Arshad H. Khan, Desmond J. Smith, Christopher C. Park, Richard T. Wang, Sangtae Ahn, Kenneth Lange
Publikováno v:
BMC Genomics, Vol 12, Iss 1, p 562 (2011)
Wang, RT; Ahn, S; Park, CC; Khan, AH; Lange, K; & Smith, DJ. (2011). Effects of genome-wide copy number variation on expression in mammalian cells. BMC Genomics, 12. doi: 10.1186/1471-2164-12-562. UCLA: Retrieved from: http://www.escholarship.org/uc/item/08r1570v
BMC Genomics
Wang, Richard T; Ahn, Sangtae; Park, Christopher C; Khan, Arshad H; Lange, Kenneth; & Smith, Desmond J. (2011). Effects of genome-wide copy number variation on expression in mammalian cells. BMC Genomics, 12(1), 562. doi: http://dx.doi.org/10.1186/1471-2164-12-562. Retrieved from: http://www.escholarship.org/uc/item/63w6q0rd
Wang, RT; Ahn, S; Park, CC; Khan, AH; Lange, K; & Smith, DJ. (2011). Effects of genome-wide copy number variation on expression in mammalian cells. BMC Genomics, 12. doi: 10.1186/1471-2164-12-562. UCLA: Retrieved from: http://www.escholarship.org/uc/item/08r1570v
BMC Genomics
Wang, Richard T; Ahn, Sangtae; Park, Christopher C; Khan, Arshad H; Lange, Kenneth; & Smith, Desmond J. (2011). Effects of genome-wide copy number variation on expression in mammalian cells. BMC Genomics, 12(1), 562. doi: http://dx.doi.org/10.1186/1471-2164-12-562. Retrieved from: http://www.escholarship.org/uc/item/63w6q0rd
Background There is only a limited understanding of the relation between copy number and expression for mammalian genes. We fine mapped cis and trans regulatory loci due to copy number change for essentially all genes using a human-hamster radiation
Autor:
Aldons J. Lusis, Imran N. Mungrue, Richard D. Smith, Nicholas A. Furlotte, Brian J. Bennett, Heather M. Brewer, Karl K. Weitz, Charles Tilford, Hyun Min Kang, Vladislav A. Petyuk, Desmond J. Smith, Janet S. Sinsheimer, Nathan O. Siemers, Christopher C. Park, Isaac M. Neuhaus, Calvin Pan, Raffi Hagopian, David G. Camp, Roumyana Yordanova, Charles R. Farber, Todd G. Kirchgessner, Peter S. Gargalovic, Eleazar Eskin, Ping Zi Wen, Luz D. Orozco, Anatole Ghazalpour
Publikováno v:
PLoS Genetics
Ghazalpour, A; Bennett, B; Petyuk, VA; Orozco, L; Hagopian, R; Mungrue, IN; et al.(2011). Comparative analysis of proteome and transcriptome variation in mouse. PLoS Genetics, 7(6). doi: 10.1371/journal.pgen.1001393. UCLA: Retrieved from: http://www.escholarship.org/uc/item/3qp1p825
PLoS Genetics, Vol 7, Iss 6, p e1001393 (2011)
Ghazalpour, A; Bennett, B; Petyuk, VA; Orozco, L; Hagopian, R; Mungrue, IN; et al.(2011). Comparative analysis of proteome and transcriptome variation in mouse. PLoS Genetics, 7(6). doi: 10.1371/journal.pgen.1001393. UCLA: Retrieved from: http://www.escholarship.org/uc/item/3qp1p825
PLoS Genetics, Vol 7, Iss 6, p e1001393 (2011)
The relationships between the levels of transcripts and the levels of the proteins they encode have not been examined comprehensively in mammals, although previous work in plants and yeast suggest a surprisingly modest correlation. We have examined t
Autor:
Brian J. Bennett, Simone de Jong, Arshad H. Khan, Roel A. Ophoff, Aldons J. Lusis, Christopher C. Park, Anatole Ghazalpour, Eleazar Eskin, Steve Horvath, Greg D. Gale, Charles R. Farber, Andy Lin, Desmond J. Smith, Peter Langfelder
Publikováno v:
Park, Christopher C; Gale, Greg D; de Jong, Simone; Ghazalpour, Anatole; Bennett, Brian J; Farber, Charles R; et al.(2011). Gene networks associated with conditional fear in mice identified using a systems genetics approach. BMC Systems Biology, 5(1), 43. doi: http://dx.doi.org/10.1186/1752-0509-5-43. Retrieved from: http://www.escholarship.org/uc/item/2tb981tf
BMC Systems Biology, Vol 5, Iss 1, p 43 (2011)
Park, CC; Gale, GD; de Jong, S; Ghazalpour, A; Bennett, BJ; Farber, CR; et al.(2011). Gene networks associated with conditional fear in mice identified using a systems genetics approach. BMC Systems Biology, 5. doi: 10.1186/1752-0509-5-43. UCLA: Retrieved from: http://www.escholarship.org/uc/item/7857k7sm
BMC Systems Biology
BMC Systems Biology, Vol 5, Iss 1, p 43 (2011)
Park, CC; Gale, GD; de Jong, S; Ghazalpour, A; Bennett, BJ; Farber, CR; et al.(2011). Gene networks associated with conditional fear in mice identified using a systems genetics approach. BMC Systems Biology, 5. doi: 10.1186/1752-0509-5-43. UCLA: Retrieved from: http://www.escholarship.org/uc/item/7857k7sm
BMC Systems Biology
Background Our understanding of the genetic basis of learning and memory remains shrouded in mystery. To explore the genetic networks governing the biology of conditional fear, we used a systems genetics approach to analyze a hybrid mouse diversity p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d68a24472df671055d4b7e4f14e6358b
http://www.escholarship.org/uc/item/2tb981tf
http://www.escholarship.org/uc/item/2tb981tf
Using radiation hybrid genotyping data, 99% of all possible gene pairs across the mammalian genome were tested for interactions based on co-retention frequencies higher (attraction) or lower (repulsion) than chance. Gene interaction networks construc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d9a70c51a0ae011c5625e6bd9e04708
https://europepmc.org/articles/PMC2909575/
https://europepmc.org/articles/PMC2909575/
Autor:
Desmond J. Smith, Sangtae Ahn, Richard M. Leahy, Andy Lin, Kenneth Lange, Christopher C. Park, Richard T. Wang
Publikováno v:
Ahn, S; Wang, RT; Park, CC; Lin, A; Leahy, RM; Lange, K; et al.(2009). Directed mammalian gene regulatory networks using expression and comparative genomic hybridization microarray data from radiation hybrids. PLoS Computational Biology, 5(6). doi: 10.1371/journal.pcbi.1000407. UCLA: Retrieved from: http://www.escholarship.org/uc/item/97j835f8
PLoS Computational Biology
PLoS Computational Biology, Vol 5, Iss 6, p e1000407 (2009)
PLoS Computational Biology
PLoS Computational Biology, Vol 5, Iss 6, p e1000407 (2009)
Meiotic mapping of quantitative trait loci regulating expression (eQTLs) has allowed the construction of gene networks. However, the limited mapping resolution of these studies has meant that genotype data are largely ignored, leading to undirected n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a571b3668f837664b22801e87ef6cd62
http://www.escholarship.org/uc/item/97j835f8
http://www.escholarship.org/uc/item/97j835f8
Autor:
Aldons J. Lusis, Sangtae Ahn, Joshua S. Bloom, Tong Tong Wu, Desmond J. Smith, Andy Lin, Christine J. Farr, Richard T. Wang, Christopher C. Park, Aswin Sekar, Kenneth Lange, Arshad H. Khan, Richard M. Leahy
Publikováno v:
Nature genetics. 40(4)
We mapped regulatory loci for nearly all protein-coding genes in mammals using comparative genomic hybridization and expression array measurements from a panel of mouse–hamster radiation hybrid cell lines. The large number of breaks in the mouse ch