BCIT Citations Collection | BCIT Institutional Repository

BCIT Citations Collection

AOAC SMPR® 2016.013
AOAC SMPR® 2016.013 Standard Method Performance Requirements (SMPRs) for Identification and Quantitation of Animal-Derived Proteins in Dietary Supplements. The article presents a study that determines the standard method performance requirements (SMPRs) for identifying and quantifying animal-derived proteins in dietary supplements. It offers overview of the purpose, applicability, and definitions involved in the study. It also outlines the result of the system suitability, validation guidance and potential reference of the study., Peer-reviewed article, Published.
AOAC SMPR® 2016.014
AOAC SMPR® 2016.014 Standard Method Performance Requirements (SMPRs) for Identification and Quantitation of Non-Animal-Derived Proteins in Dietary Supplements. The article presents a study that determines the standard method performance requirements (SMPRs) for determining and quantifying non-animal-derived proteins in dietary supplements. It offers overview of the purpose, applicability of the methods, and definitions involved in the study. The also outlines the system suitability tests, validation guidance, and potential references of the study., Peer-reviewed article, Published.
AOAC SMPR® 2016.015
The article presents a study that determines the standard method performance requirements (SMPRs) in identifying animal-derived proteins in dietary supplements. It offers overview of the purpose, applicability, and method performance requirements used in the study. It also outlines the system suitability, potential reference materials, and validation guidance of the study., Peer-reviewed article, Published.
AOAC SMPR® 2016.016
The article presents a study that determines the standard method performance requirements (SMPRs) for determining non-animal-derived proteins in dietary supplements. It offers overview of the purpose, applicability of the methods, and definitions involved in the study. The also outlines the system suitability tests, validation guidance, and potential references of the study., Peer-reviewed article, Published.
Osmoregulation in the halophilic bacterium halomonas elongata
Halophilic bacteria use a variety of osmoregulatory methods, such as the accumulation of one or more compatible solutes. The wide diversity of compounds that can act as compatible solute complicates the task of understanding the different strategies that halophilic bacteria use to cope with salt. This is specially challenging when attempting to go beyond the pathway that produces a certain compatible solute towards an understanding of how the metabolic network as a whole addresses the problem. Metabolic reconstruction based on genomic data together with Flux Balance Analysis (FBA) is a promising tool to gain insight into this problem. However, as more of these reconstructions become available, it becomes clear that processes predicted by genome annotation may not reflect the processes that are active in vivo. As a case in point, E. coli is unable to grow aerobically on citrate in spite of having all the necessary genes to do it. It has also been shown that the realization of this genetic potential into an actual capability to metabolize citrate is an extremely unlikely event under normal evolutionary conditions. Moreover, many marine bacteria seem to have the same pathways to metabolize glucose but each species uses a different one. In this work, a metabolic network inferred from genomic annotation of the halophilic bacterium Halomonas elongata and proteomic profiling experiments are used as a starting point to motivate targeted experiments in order to find out some of the defining features of the osmoregulatory strategies of this bacterium. This new information is then used to refine the network in order to describe the actual capabilities of H. elongata, rather than its genetic potential., Peer-reviewed article, Published. Received: September 20, 2016; Accepted: November 17, 2016; Published: January 12, 2017.
Transcriptional bursting in drosophila development
Anterior-posterior (AP) body segmentation of the fruit fly (Drosophila) is first seen in the 7-stripe spatial expression patterns of the pair-rule genes, which regulate downstream genes determining specific segment identities. Regulation of pair-rule expression has been extensively studied for the even-skipped (eve) gene. Recent live imaging, of a reporter for the 2nd eve stripe, has demonstrated the stochastic nature of this process, with ‘bursts’ in the number of RNA transcripts being made over time. We developed a stochastic model of the spatial and temporal expression of eve stripe 2 (binding by transcriptional activators (Bicoid and Hunchback proteins) and repressors (Giant and Krüppel proteins), transcriptional initiation and termination; with all rate parameters constrained by features of the experimental data) in order to analyze the noisy experimental time series and test hypotheses for how eve transcription is regulated. These include whether eve transcription is simply OFF or ON, with a single ON rate, or whether it proceeds by a more complex mechanism, with multiple ON rates. We find that both mechanisms can produce long (multi-minute) RNA bursts, but that the short-time (minute-to-minute) statistics of the data is indicative of eve being transcribed with at least two distinct ON rates, consistent with data on the joint activation of eve by Bicoid and Hunchback. We also predict distinct statistical signatures for cases in which eve is repressed (e.g. along the edges of the stripe) vs. cases in which activation is reduced (e.g. by mutagenesis of transcription factor binding sites). Fundamental developmental processes such as gene transcription are intrinsically noisy; our approach presents a new way to quantify and analyze time series data during developmental patterning in order to understand regulatory mechanisms and how they propagate noise and impact embryonic robustness., Peer-reviewed article, Published. Received: November 21, 2016; Accepted: April 8, 2017; Published: April 24, 2017.