G
Guangshan Li
Researcher at Oak Ridge National Laboratory
Publications - 4
Citations - 773
Guangshan Li is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: DNA microarray & Gene. The author has an hindex of 4, co-authored 4 publications receiving 760 citations.
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Journal ArticleDOI
Development and Evaluation of Functional Gene Arrays for Detection of Selected Genes in the Environment
Liyou Wu,Liyou Wu,Dorothea K. Thompson,Guangshan Li,Richard A. Hurt,James M. Tiedje,Jizhong Zhou,Jizhong Zhou +7 more
TL;DR: The results indicate that glass-based microarray hybridization has potential as a tool for revealing functional gene composition in natural microbial communities; however, more work is needed to improve sensitivity and quantitation and to understand the associated issue of specificity.
Journal ArticleDOI
Isolation and Characterization of Metal-Reducing Thermoanaerobacter Strains from Deep Subsurface Environments of the Piceance Basin, Colorado
TL;DR: The susceptibility of the thermophilic Fe(III)-reducing cultures to metabolic inhibitors specific for ferric reductase, hydrogenase, and electron transport indicated that iron reduction by these bacteria is an enzymatic process.
Journal ArticleDOI
Gene and Protein Expression Profiles of Shewanella oneidensis during Anaerobic Growth with Different Electron Acceptors
Alexander S. Beliaev,Dorothea K. Thompson,Tripti Khare,Hanjo Lim,Craig C. Brandt,Guangshan Li,Alison E. Murray,John F. Heidelberg,Carol S. Giometti,John Yates,Kenneth H. Nealson,James M. Tiedje,Jizhong Zhou +12 more
TL;DR: In this paper, changes in mRNA and protein expression profiles of Shewanella oneidenesis MR-1 during switch from aerobic to fumarate-, Fe(III)- or nitrate-reducing conditions were examined using DNA microarrays and two-dimensional polyacrylamide gel electrophoresis (2-D PAGE).
Journal ArticleDOI
PRIMEGENS: robust and efficient design of gene-specific probes for microarray analysis.
TL;DR: The PCR amplification results indicate that this method is very efficient and reliable for designing specific probes for microarray analysis and can be run from the command line on Unix/Linux platforms as a stand-alone package or from a Web interface.