Browsing by Author "Krantz, Gregory"

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Field Scanning Electron Microscopy and Growth Modelling of a Desulfovibrio alaskansis G20 Biofilm
(2013-03) Krantz, Gregory; Fields, Matthew
Microbially Induced Corrosion (MIC) is a major concern for industrial ferrous metal pipelines and can result in pipeline failure. Sulfate Reducing Bacteria (SRB) have been implicated in contributing to MIC due to their production of corrosive H2S gas. Desulfovibrio alaskansis G20 (G20) is a SRB isolated from a producing oil well in Ventura, California. This study evaluates whether G20 pure culture can form a biofilm on steel substrate, and attempts to characterize the G20 biofilm with the Biological Accumulation Model (BAM).
Smartphone Analytics: Mobilizing the Lab into the Cloud for Omic-Scale Analyses
(2016-08) Montenegro-Burke, Jose R.; Phommavongsay, Thiery; Aisporna, Aries E.; Huan, Tao; Rinehart, Duane; Forsberg, Erica M.; Poole, Farris L.; Thorgersen, Michael P.; Adams, Michael W. W.; Krantz, Gregory; Fields, Matthew W.; Northen, Trent R.; Robbins, Paul D.; Niedernhofer, Laura J.; Lairson, Luke L.; Benton, H. Paul; Siuzdak, Gary
Active data screening is an integral part of many scientific activities, and mobile technologies have greatly facilitated this process by minimizing the reliance on large hardware instrumentation. In order to meet with the increasingly growing field of metabolomics and heavy workload of data processing, we designed the first remote metabolomic data screening platform for mobile devices. Two mobile applications (apps), XCMS Mobile and METLIN Mobile, facilitate access to XCMS and METLIN, which are the most important components in the computer-based XCMS Online platforms. These mobile apps allow for the visualization and analysis of metabolic data throughout the entire analytical process. Specifically, XCMS Mobile and METLIN Mobile provide the capabilities for remote monitoring of data processing, real time notifications for the data processing, visualization and interactive analysis of processed data (e.g., cloud plots, principle component analysis, box-plots, extracted ion chromatograms, and hierarchical cluster analysis), and database searching for metabolite identification. These apps, available on Apple iOS and Google Android operating systems, allow for the migration of metabolomic research onto mobile devices for better accessibility beyond direct instrument operation. The utility of XCMS Mobile and METLIN Mobile functionalities was developed and is demonstrated here through the metabolomic LC-MS analyses of stem cells, colon cancer, aging, and bacterial metabolism.
Systems biology guided by XCMS Online metabolomics
(2017-04) Huan, Tao; Forsberg, Erica M.; Rinehart, Duane; Johnson, Caroline H.; Ivanisevic, Julijana; Benton, H. Paul; Fang, Mingliang; Aisporna, Aries E.; Hilmers, Brian; Poole, Farris L.; Thorgersen, Michael P.; Adams, Michael W. W.; Krantz, Gregory; Fields, Matthew W.; Robbins, Paul D.; Niedernhofer, Laura J.; Ideker, Trey; Majumder, Erica L.; Wall, Judy D.; Rattray, Nicholas J. W.; Goodacre, Royston; Lairson, Luke L.; Siuzdak, Gary
Unintended Laboratory-Driven Evolution Reveals Genetic Requirements for Biofilm Formation by Desulfovibrio vulgaris Hildenborough.
(2017-10) De Leon, K. B.; Zane, Grant M.; Trotter, V. V.; Krantz, Gregory; Arkin, Adam P.; Butland, G. P.; Walian, P. J.; Fields, Matthew W.; Wall, Judy D.
Biofilms of sulfate-reducing bacteria (SRB) are of particular interest as members of this group are culprits in corrosion of industrial metal and concrete pipelines as well as being key players in subsurface metal cycling. Yet the mechanism of biofilm formation by these bacteria has not been determined. Here we show that two supposedly identical wild-type cultures of the SRB Desulfovibrio vulgaris Hildenborough maintained in different laboratories have diverged in biofilm formation. From genome resequencing and subsequent mutant analyses, we discovered that a single nucleotide change within DVU1017, the ABC transporter of a type I secretion system (T1SS), was sufficient to eliminate biofilm formation in D. vulgaris Hildenborough. Two T1SS cargo proteins were identified as likely biofilm structural proteins, and the presence of at least one (with either being sufficient) was shown to be required for biofilm formation. Antibodies specific to these biofilm structural proteins confirmed that DVU1017, and thus the T1SS, is essential for localization of these adhesion proteins on the cell surface. We propose that DVU1017 is a member of the lapB category of microbial surface proteins because of its phenotypic similarity to the adhesin export system described for biofilm formation in the environmental pseudomonads. These findings have led to the identification of two functions required for biofilm formation in D. vulgaris Hildenborough and focus attention on the importance of monitoring laboratory-driven evolution, as phenotypes as fundamental as biofilm formation can be altered.