Automated Author ProfileBodkin, James L
United States Geological Survey
Bodkin, James L
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Gene transcription analysis for diagnosing or monitoring wildlife health requires the ability to distinguish pathophysiological change from natural variation. Herein we describe methodology for the development of quantitative real time polymerase chain reaction (qPCR) assays to measure differential transcript levels of multiple immune-function genes in the sea otter (Enhydra lutris); sea otter specific, qPCR primer sequences for the genes of interest are defined. We establish a “reference” range of transcripts for each gene in a group of clinically healthy captive and free-ranging sea otters. The 10 genes of interest represent multiple physiological systems that play a role in immuno-modulation, inflammation, cell protection, tumor suppression, cellular stress-response, xenobiotic metabolizing enzymes, antioxidant enzymes, and cell-cell adhesion. The cycle threshold (CT) measures for most genes were normally distributed; the complement cytolysis inhibitor was the exception. The relative enumeration of multiple gene transcripts in simple peripheral blood samples expands the diagnostic capability currently available to assess the health of sea otters in situ and provides a better understanding of the state of their environment.
Authors
- Bowen, Lizabeth ;
- Miles, A. Keith ;
- Murray, Michael ;
- Haulena, Martin ;
- Tuttle, Judy ;
- Van Bonn, William ;
- Adams, Lance ;
- Bodkin, James L ;
- Ballachey, Brenda ;
- Estes, James ;
- Tinker, M Tim ;
- Keister, Robin ;
- Stott, Jeffery L