Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jay Snoddy"'
Autor:
Robert H. Whitehead, Carl R. Rankin, Bing Zhang, Robert J. Coffey, Jeffrey L. Franklin, Jay Snoddy, Shawn Levy, Mary Kay Washington, J. Michael Thomson
Publikováno v:
Biochemical and Biophysical Research Communications. 440:99-104
Recent progress has been made in the identification of protein-coding genes and miRNAs that are expressed in and alter the behavior of colonic epithelia. However, the role of long non-coding RNAs (lncRNAs) in colonic homeostasis is just beginning to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18205e0cfe7cf2f7bb625959a15afffd
https://doi.org/10.1016/j.bbrc.2013.09.040
https://doi.org/10.1016/j.bbrc.2013.09.040
Autor:
Qiuyin Cai, Sandra L. Deming, Wei Zheng, Jirong Long, Yu-Tang Gao, Xiao-Ou Shu, Ying Zheng, Jay Snoddy, Shimian Qu, Shawn Levy, Alicia Beeghly-Fadiel, Zhi-Xian Ruan, Chun Li, Wei Lu
Publikováno v:
Cancer Research. 68:6453-6459
Matrix metalloproteinase-7 (MMP-7) is a small secreted proteolytic enzyme with broad substrate specificity against ECM and non-ECM components. Known to be vital for tumor invasion and metastasis, accumulating evidence also implicates MMP-7 in cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f73f23ec1779981f09a5b2b38d74fb50
https://doi.org/10.1158/0008-5472.can-08-0636
https://doi.org/10.1158/0008-5472.can-08-0636
Publikováno v:
Nucleic Acids Research
High-throughput technologies have led to the rapid generation of large-scale datasets about genes and gene products. These technologies have also shifted our research focus from 'single genes' to 'gene sets'. We have developed a web-based integrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aad1a65a3e66dc7f74a28f6c24a80188
https://doi.org/10.1093/nar/gki475
https://doi.org/10.1093/nar/gki475
Autor:
Stefan Kirov, Bing Zhang, Elissa J. Chesler, Michael A. Langston, Nicole Baldwin, Jay Snoddy, Robert W. Williams
Publikováno v:
Journal of Biomedicine and Biotechnology, Vol 2005, Iss 2, Pp 172-180 (2005)
Journal of Biomedicine and Biotechnology
Journal of Biomedicine and Biotechnology
Gene expression microarray data can be used for the assembly of genetic coexpression network graphs. Using mRNA samples obtained from recombinant inbredMus musculusstrains, it is possible to integrate allelic variation with molecular and higher-order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cfa46022afc128ff9e84bfd977b6505
https://doaj.org/article/7bd316eedb904036a89ddbc36816c34a
https://doaj.org/article/7bd316eedb904036a89ddbc36816c34a
Publikováno v:
Methods of Microarray Data Analysis V ISBN: 9780387345680
Biological networks can be broken down into modules, groups of interacting molecules. To uncover these functional modules and study their evolution, our research groups are developing graph-theory based strategies for the analysis of gene expression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1810738b5ab4ef7d5223f5e9dedc4ca3
https://doi.org/10.1007/978-0-387-34569-7_7
https://doi.org/10.1007/978-0-387-34569-7_7
Publikováno v:
Gene Function Analysis ISBN: 9781588297341
High-throughput experiments in biology often produce sets of genes of potential interests. Some of those gene sets might be of considerable size. Therefore, computer-assisted analysis is necessary for the biological interpretation of the gene sets, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27670402d68211616f9f3c7fa4b0f2f5
https://doi.org/10.1007/978-1-59745-547-3_2
https://doi.org/10.1007/978-1-59745-547-3_2
Autor:
Michael A. Langston, Jay Snoddy, Xinxia Peng, Bing Zhang, Nicole Baldwin, Christopher T. Symons, Lan Lin
Publikováno v:
Methods of Microarray Data Analysis ISBN: 0387230742
Combinatorial methods are studied in an effort to gauge their potential utility in the analysis of differential gene expression data. Patient and gene relationships are modeled using edge-weighted graphs. Two algorithms with different, but complement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e74c5bbcaefefd7a4c086229ef163f7
https://doi.org/10.1007/0-387-23077-7_17
https://doi.org/10.1007/0-387-23077-7_17
Autor:
Dan Goldowitz, Stephanie Pretel, Yanxia Li, Warren A. Kibbe, Douglas J. Swanson, Carol J. Bult, Jay Snoddy, Jeana Yates, Wayne N. Frankel, Martha Holtz-Vitaterna, Joseph S. Takahashi
Publikováno v:
Brain research. Molecular brain research. 132(2)
N-ethyl-N-nitrosourea (ENU) mutagenesis is presented as a powerful approach to developing models for human disease. The efforts of three NIH Mutagenesis Centers established for the detection of neuroscience-related phenotypes are described. Each cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0da0035accb4078740e74da7922ffdf3
https://pubmed.ncbi.nlm.nih.gov/15582151
https://pubmed.ncbi.nlm.nih.gov/15582151
Autor:
Thomas F. Vogt, Wolfgang Wurst, Harald von Melchner, Alexandra L. Joyner, Brian Zambrowicz, Francis Stewart, Terry Magnuson, William C. Skarnes, Harold E. Varmus, Susan M. Dymecki, Philippe Soriano, Mario R. Capecchi, Jonathan D. Pollock, Allan Bradley, Mark W. Moore, William F. Dove, J.T. Eppig, Stephen G. Young, Arthur T. Sands, Richard P. Woychik, Lyuba Varticovski, Allen D. Roses, Jay Snoddy, D. Stewart, Geoff Hicks, Nathaniel Heintz, Francis S. Collins, James F. Battey, Brian Seed, Christopher P. Austin, Franziska B. Grieder, Thomas R. Insel, George D. Yancopoulos, Geoffrey M. Duyk, Bruce Stillman, Andras Nagy, Beverly H. Koller, Maja Bucan, Kevin C K Lloyd, Jan A. Witkowski, Inder M. Verma
Publikováno v:
Nature genetics. 36(9)
Mouse knockout technology provides a powerful means of elucidating gene function in vivo, and a publicly available genome-wide collection of mouse knockouts would be significantly enabling for biomedical discovery. To date, published knockouts exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15de1ab40bd228aa27d2bc4fadcda788
https://pubmed.ncbi.nlm.nih.gov/15514659
https://pubmed.ncbi.nlm.nih.gov/15514659