Comparing morphological and molecular diet analyses and fecal DNA sampling protocols for a terrestrial carnivore

2017 ◽  
Vol 41 (2) ◽  
pp. 362-369 ◽  
Author(s):  
Elyce N. Gosselin ◽  
Robert C. Lonsinger ◽  
Lisette P. Waits
Keyword(s):  
Fecal Dna ◽  
Sampling Protocols ◽  
Dna Sampling ◽  
Diet Analyses ◽  
Terrestrial Carnivore

Comparing telemetry and fecal dna sampling methods to quantify survival and dispersal of juvenile pygmy rabbits

2015 ◽  
Vol 39 (2) ◽  
pp. 413-421 ◽  
Author(s):  
Stephanie M. Demay ◽  
Janet L. Rachlow ◽  
Lisette P. Waits ◽  
Penny A. Becker
Keyword(s):  
Sampling Methods ◽  
Fecal Dna ◽  
Dna Sampling ◽  
Pygmy Rabbits

Environmental DNA sampling protocols for the surveillance of marine non-indigenous species v3

2021 ◽  
Author(s):  
Luca Mirimin ◽  
Dulaney Miller ◽  
Sara Fernandez
Keyword(s):  
Invasive Species ◽  
Environmental Samples ◽  
Environmental Dna ◽  
Indigenous Species ◽  
Sampling Protocols ◽  
Dna Sampling ◽  
Marine Invasive Species ◽  
Monitoring And Surveillance ◽  
Non Indigenous Species

This document describes a series of protocols for the collection of environmental samples intended for the monitoring and surveillance of marine invasive species by means of eDNA metabarcoding analysis, as described in the associated publication (Fernandez et al. 2021: https://doi.org/10.1016/j.marpolbul.2021.112893).

Environmental DNA sampling protocols for the surveillance of marine non-indigenous species in Irish coastal waters

2021 ◽  
Vol 172 ◽  
pp. 112893
Author(s):  
Sara Fernandez ◽  
Dulaney L. Miller ◽  
Luke E. Holman ◽  
Arjan Gittenberger ◽  
Alba Ardura ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Environmental Dna ◽  
Indigenous Species ◽  
Sampling Protocols ◽  
Dna Sampling ◽  
Non Indigenous Species

Reduced sampling protocols in estimation of insulin sensitivity and glucose effectiveness using the minimal model in NIDDM

Diabetes ◽  
1993 ◽  
Vol 42 (11) ◽  
pp. 1635-1641 ◽  
Author(s):  
P. A. Coates ◽  
R. L. Ollerton ◽  
S. D. Luzio ◽  
I. S. Ismail ◽  
D. R. Owens
Keyword(s):  
Insulin Sensitivity ◽  
Minimal Model ◽  
Glucose Effectiveness ◽  
Sampling Protocols

scholarly journals Importance of between and within Subject Variability in Extracellular Vesicle Abundance and Cargo when Performing Biomarker Analyses

Cells ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 485
Author(s):  
Lauren A. Newman ◽  
Alia Fahmy ◽  
Michael J. Sorich ◽  
Oliver G. Best ◽  
Andrew Rowland ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Drug Exposure ◽  
Extracellular Vesicle ◽  
The Novel ◽  
Protein Markers ◽  
Diurnal Variability ◽  
Normal Ranges ◽  
Sampling Protocols ◽  
Subject Variability ◽  
Within Subject Variability

Small extracellular vesicles (sEV) have emerged as a potential rich source of biomarkers in human blood and present the intriguing potential for a ‘liquid biopsy’ to track disease and the effectiveness of interventions. Recently, we have further demonstrated the potential for EV derived biomarkers to account for variability in drug exposure. This study sought to evaluate the variability in abundance and cargo of global and liver-specific circulating sEV, within (diurnal) and between individuals in a cohort of healthy subjects (n = 10). We present normal ranges for EV concentration and size and expression of generic EV protein markers and the liver-specific asialoglycoprotein receptor 1 (ASGR1) in samples collected in the morning and afternoon. EV abundance and cargo was generally not affected by fasting, except CD9 which exhibited a statistically significant increase (p = 0.018). Diurnal variability was observed in the expression of CD81 and ASGR1, which significantly decreased (p = 0.011) and increased (p = 0.009), respectively. These results have potential implications for study sampling protocols and normalisation of biomarker data when considering the expression of sEV derived cargo as a biomarker strategy. Specifically, the novel finding that liver-specific EVs exhibit diurnal variability in healthy subjects should have broad implications in the study of drug metabolism and development of minimally invasive biomarkers for liver disease.

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