| | |
| New technologies offer promise for improved health but can
also add new complexities to the process of sorting through, validating, and
accepting
new science as a basis for decision making. The
Focus (p. A678) examines how
two federal agencies, the EPA and the FDA,
are navigating the winding road toward regulatory acceptance of toxicogenomics
data as a tool to improve public health.
image credit: Design Pics /AlamyPurchase This Issue |
-
Toxicogenomics Data:
The Regulatory Road Ahead
A 678
-
Applying Support Vector Machines to Predict Hepatotoxicity
A 686 & 1236
-
Linking Gene Networks: Proof of Concept
A 687 & 1217
|
Perspectives
Editorial
p. A 662-A 664
- Toxicogenomics in Risk Assessment: Communicating the Challenges
Syril
D. Pettit
[HTML] [ Download
PDF]
- Regulatory Acceptance of Toxicogenomics Data
Felix W. Frueh, Shiew-Mei Huang, and Lawrence J. Lesko
[HTML] [ Download
PDF]
- Note from the Editor: Addressing Applications of Genomics Data
Thomas
J. Goehl
[HTML] [ Download
PDF]
Correspondence
p. A 666
Environews
Forum
p. A 670
- Encyclopedia of DNA
- BAC to the Future
- The Path to Species
Comparison
- Activating Cancer Drug Discovery
- TXGnet:
National Center for Biotechnology Information
[HTML] [ Download
PDF]
NCT Update
p. A 676
Focus
p. A 678
Science Selections
p. A 686
|
Toxicogenomics
Articles
Gene Interaction Network Suggests Dioxin Induces
a Significant Linkage between Aryl Hydrocarbon Receptor and Retinoic
Acid Receptor Beta
Hiroyoshi Toyoshiba, Takeharu Yamanaka,
Hideko Sone, Frederick M. Parham, Nigel J. Walker, Jeanelle Martinez,
and Christopher J. Portier
p. 1217
[HTML] [ Download
PDF]
Valproic Acid Teratogenicity: A Toxicogenomics
Approach
Kim Kultima,
Anna-Maja Nyström, Birger Scholz, Anne-Lee Gustafson, Lennart
Dencker, and Michael Stigson
p. 1225
[HTML][ Download
PDF]
[ Supplemental Data
PDF]
Discriminating Different Classes of Toxicants
by Transcript Profiling
Guido Steiner, Laura Suter, Franziska Boess, Rodolfo Gasser, Maria Cristina de
Vera,
Silvio Albertini, and Stefan Ruepp
p. 1236
[HTML] [ Download
PDF]
[ Supplemental
PDF]
Assessment of Prediction Confidence and Domain
Extrapolation of Two Structure–Activity Relationship Models
for Predicting Estrogen Receptor Binding Activity
Weida Tong,
Qian Xie, Huixiao Hong, Leming Shi, Hong Fang, and Roger Perkins
p. 1249
[HTML] [ Download
PDF]
Biokinetics and Subchronic Toxic Effects of
Oral Arsenite, Arsenate, Monomethylarsonic Acid, and Dimethylarsinic
Acid in v-Ha-ras Transgenic (Tg.AC) Mice
Yaxiong Xie, Kevin
J. Trouba, Jie Liu, Michael P. Waalkes, and Dori R. Germolec
p. 1255
[HTML] [ Download
PDF]
|
Announcements
|
|
|
|
