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109. Sample Confirmation Testing: A Short Tandem Repeat-Based Quality Assurance and Quality Control Procedure for the eyeGENE Biorepository

Author

Remy C. Cooper, Kerry Goetz, Jemma Iano-Fletcher, Xinjing Wang, Annette Yim, Vida Ndifor, Rebecca S Parrish, Alexandra Garafalo, Santa J. Tumminia, and Melissa Reeves

Subjects
Quality Control, 0301 basic medicine, medicine.medical_specialty, Eye Diseases, Sample (material), media_common.quotation_subject, Medicine (miscellaneous), 030105 genetics & heredity, Eye, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Clinical genetic, Humans, Medicine, Medical physics, Quality (business), Biological Specimen Banks, media_common, business.industry, Diagnostic test, Original Articles, Cell Biology, General Medicine, 030104 developmental biology, Biorepository, Microsatellite, Sample integrity, business, Quality assurance, Microsatellite Repeats
Abstract

Quality assurance and quality control (QA/QC) procedures are vital to good biorepository management. The National Eye Institute (NEI) core CLIA-certified laboratory of the eyeGENE(®) Network receives blood from individuals with inherited eye conditions and isolates DNA for clinical genetic diagnostic testing and research. Clinical genetic test results are returned to the affected individuals, making it imperative that sample integrity is preserved throughout laboratory processing. A clinically validated, short tandem repeat (STR)-based approach, termed Sample Confirmation Testing (SCT), was developed to ensure that no significant laboratory errors occurred during processing. SCT uses modified protocols from commercial kits to create and compare STR profiles for each participant's original blood and derived DNA. This QA/QC procedure has been performed on 47% of the more than 6000 participants in the eyeGENE Biorepository and has identified significant laboratory errors in 0.4% of samples tested. SCT improves the quality of the data returned to affected individuals and the data distributed to researchers using eyeGENE samples by ensuring the integrity of the samples and aiding in curation of the biorepository. This approach serves as a model for other repositories to improve sample quality and management procedures.

Published
2016
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127. Synthesis and Application of Injectable Bioorthogonal Dendrimer Hydrogels for Local Drug Delivery

Author

Juan Wang, Hu Yang, Remy C. Cooper, Leyuan Xu, and W. Andrew Yeudall

Subjects
Materials science, Biomedical Engineering, 02 engineering and technology, Polyethylene glycol, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, Combinatorial chemistry, Article, 0104 chemical sciences, Biomaterials, chemistry.chemical_compound, chemistry, Dendrimer, PEG ratio, Drug delivery, Self-healing hydrogels, PEGylation, Organic chemistry, Bioorthogonal chemistry, 0210 nano-technology, Copper-free click chemistry
Abstract

We developed novel dendrimer hydrogels (DH)s on the basis of bioorthogonal chemistry, in which polyamidoamine (PAMAM) dendrimer generation 4.0 (G4) functionalized with strained alkyne dibenzocyclooctyne (DBCO) via PEG spacer (Mn = 2,000 g/mol) underwent strain-promoted azide-alkyne cycloaddition (SPAAC) with polyethylene glycol bisazide (PEG-BA) (Mn= 20,000 g/mol) to generate a dendrimer-PEG cross-linked network. This platform offers a high degree of functionality and modularity. A wide range of structural parameters including dendrimer generation, degree of PEGylation, loading density of clickable DBCO groups, PEG-BA chain length as well as the ratio of clickable dendrimer to PEG-BA and their concentrations can be readily manipulated to tune chemical and physical properties of DHs. We used this platform to prepare an injectable liquid DH. This bioorthogonal DH exhibited high cytocompatibility and enabled sustained release of the anticancer drug 5-fluorouracil (5-FU). Following intratumoral injection, the DH/5-FU formulation significantly suppressed tumor growth and improved survival of HN12 tumor-bearing mice by promoting tumor cell death as well as by reducing tumor cell proliferation and angiogenesis.

Published
2017

128. Identification of metabolic biomarkers to follow wound evolution

Author

Berrou, K., Dunyach-Remy, C., Sanchez, I., Lavigne, JP., Roig, B., Cadiere, Axelle, Détection, évaluation, gestion des risques CHROniques et éMErgents (CHROME) / Université de Nîmes (CHROME), Université de Nîmes (UNIMES), Virulence bactérienne et maladies infectieuses (VBMI), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)

Subjects
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2017

130. Comparison and experimental validation of predictive models for soft, fiber-reinforced actuators.

Author

Sedal, Audrey, Wineman, Alan, Gillespie, R. Brent, and Remy, C. David

Subjects
ACTUATORS, PREDICTION models, SOFT robotics, MODEL validation, CONTINUUM mechanics, MANIPULATORS (Machinery)
Abstract

Successful soft robot modeling approaches appearing in the recent literature have been based on a variety of distinct theories, including traditional robotic theory, continuum mechanics, and machine learning. Though specific modeling techniques have been developed for and validated against already realized systems, their strengths and weaknesses have not been explicitly compared against each other. In this article, we show how three distinct model structures, a lumped-parameter model, a continuum mechanical model, and a neural network, compare in capturing the gross trends and specific features of the force generation of soft robotic actuators. In particular, we study models for fiber-reinforced elastomeric enclosures (FREEs), which are a popular choice of soft actuator and that are used in several soft articulated systems, including soft manipulators, exoskeletons, grippers, and locomoting soft robots. We generated benchmark data by testing eight FREE samples that spanned broad design and kinematic spaces and compared the models on their ability to predict the loading–deformation relationships of these samples. This comparison shows the predictive capabilities of each model on individual actuators and each model's generalizability across the design space. While the neural net achieved the highest peak performance, the first principles-based models generalized best across all actuator design parameters tested. The results highlight the essential roles of mathematical structure and experimental parameter determination in building high-performing, generalizable soft actuator models with varying effort invested in system identification. [ABSTRACT FROM AUTHOR]

Published
2021
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150. Stability analysis of passive dynamic walking of quadrupeds

Author

Remy, C. David, Buffinton, Keith, and Siegwart, Roland

Subjects
Mobile robots -- Design and construction, Mobile robots -- Energy use, Nonlinear theories -- Analysis, Robots -- Control systems, Robots -- Evaluation, Computers and office automation industries, Engineering and manufacturing industries
Published
2010

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