SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals
Summary: Balance and movement are impaired in many neurological disorders. Recent advances in behavioral monitoring provide unprecedented access to posture and locomotor kinematics but without the throughput and scalability necessary to screen candidate genes/potential therapeutics. Here, we present...
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Format: | Article |
Language: | English |
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Elsevier
2023-06-01
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Series: | Cell Reports |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124723005843 |
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author | Yunlu Zhu Franziska Auer Hannah Gelnaw Samantha N. Davis Kyla R. Hamling Christina E. May Hassan Ahamed Niels Ringstad Katherine I. Nagel David Schoppik |
author_facet | Yunlu Zhu Franziska Auer Hannah Gelnaw Samantha N. Davis Kyla R. Hamling Christina E. May Hassan Ahamed Niels Ringstad Katherine I. Nagel David Schoppik |
author_sort | Yunlu Zhu |
collection | DOAJ |
description | Summary: Balance and movement are impaired in many neurological disorders. Recent advances in behavioral monitoring provide unprecedented access to posture and locomotor kinematics but without the throughput and scalability necessary to screen candidate genes/potential therapeutics. Here, we present a scalable apparatus to measure posture and locomotion (SAMPL). SAMPL includes extensible hardware and open-source software with real-time processing and can acquire data from D. melanogaster, C. elegans, and D. rerio as they move vertically. Using SAMPL, we define how zebrafish balance as they navigate vertically and discover small but systematic variations among kinematic parameters between genetic backgrounds. We demonstrate SAMPL’s ability to resolve differences in posture and navigation as a function of effect size and data gathered, providing key data for screens. SAMPL is therefore both a tool to model balance and locomotor disorders and an exemplar of how to scale apparatus to support screens. |
first_indexed | 2024-03-13T07:43:50Z |
format | Article |
id | doaj.art-7907b00979ed4a40a9a2351eff611f0f |
institution | Directory Open Access Journal |
issn | 2211-1247 |
language | English |
last_indexed | 2024-03-13T07:43:50Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
record_format | Article |
series | Cell Reports |
spelling | doaj.art-7907b00979ed4a40a9a2351eff611f0f2023-06-03T04:21:55ZengElsevierCell Reports2211-12472023-06-01426112573SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animalsYunlu Zhu0Franziska Auer1Hannah Gelnaw2Samantha N. Davis3Kyla R. Hamling4Christina E. May5Hassan Ahamed6Niels Ringstad7Katherine I. Nagel8David Schoppik9Department of Otolaryngology, New York University Grossman School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USADepartment of Otolaryngology, New York University Grossman School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USADepartment of Otolaryngology, New York University Grossman School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USADepartment of Otolaryngology, New York University Grossman School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USADepartment of Otolaryngology, New York University Grossman School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USAThe Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USADepartment of Cell Biology, Skirball Institute of Biomolecular Medicine, New York University Grossman School of Medicine, New York, NY 10016, USADepartment of Cell Biology, Skirball Institute of Biomolecular Medicine, New York University Grossman School of Medicine, New York, NY 10016, USAThe Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USADepartment of Otolaryngology, New York University Grossman School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, USA; Corresponding authorSummary: Balance and movement are impaired in many neurological disorders. Recent advances in behavioral monitoring provide unprecedented access to posture and locomotor kinematics but without the throughput and scalability necessary to screen candidate genes/potential therapeutics. Here, we present a scalable apparatus to measure posture and locomotion (SAMPL). SAMPL includes extensible hardware and open-source software with real-time processing and can acquire data from D. melanogaster, C. elegans, and D. rerio as they move vertically. Using SAMPL, we define how zebrafish balance as they navigate vertically and discover small but systematic variations among kinematic parameters between genetic backgrounds. We demonstrate SAMPL’s ability to resolve differences in posture and navigation as a function of effect size and data gathered, providing key data for screens. SAMPL is therefore both a tool to model balance and locomotor disorders and an exemplar of how to scale apparatus to support screens.http://www.sciencedirect.com/science/article/pii/S2211124723005843CP: Neuroscience |
spellingShingle | Yunlu Zhu Franziska Auer Hannah Gelnaw Samantha N. Davis Kyla R. Hamling Christina E. May Hassan Ahamed Niels Ringstad Katherine I. Nagel David Schoppik SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals Cell Reports CP: Neuroscience |
title | SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals |
title_full | SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals |
title_fullStr | SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals |
title_full_unstemmed | SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals |
title_short | SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals |
title_sort | sampl is a high throughput solution to study unconstrained vertical behavior in small animals |
topic | CP: Neuroscience |
url | http://www.sciencedirect.com/science/article/pii/S2211124723005843 |
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