An open-source semi-automated robotics pipeline for embryo immunohistochemistry

Abstract A significant challenge for developmental systems biology is balancing throughput with controlled conditions that minimize experimental artifacts. Large-scale developmental screens such as unbiased mutagenesis surveys have been limited in their applicability to embryonic systems, as the tec...

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Autores principales: Timothy Fuqua, Jeff Jordan, Aliaksandr Halavatyi, Christian Tischer, Kerstin Richter, Justin Crocker
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/9b02fcd58f7a4e718c764ec735d7ce25
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spelling oai:doaj.org-article:9b02fcd58f7a4e718c764ec735d7ce252021-12-02T16:50:31ZAn open-source semi-automated robotics pipeline for embryo immunohistochemistry10.1038/s41598-021-89676-52045-2322https://doaj.org/article/9b02fcd58f7a4e718c764ec735d7ce252021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89676-5https://doaj.org/toc/2045-2322Abstract A significant challenge for developmental systems biology is balancing throughput with controlled conditions that minimize experimental artifacts. Large-scale developmental screens such as unbiased mutagenesis surveys have been limited in their applicability to embryonic systems, as the technologies for quantifying precise expression patterns in whole animals has not kept pace with other sequencing-based technologies. Here, we outline an open-source semi-automated pipeline to chemically fixate, stain, and 3D-image Drosophila embryos. Central to this pipeline is a liquid handling robot, Flyspresso, which automates the steps of classical embryo fixation and staining. We provide the schematics and an overview of the technology for an engineer or someone equivalently trained to reproduce and further improve upon Flyspresso, and highlight the Drosophila embryo fixation and colorimetric or antibody staining protocols. Additionally, we provide a detailed overview and stepwise protocol for our adaptive-feedback pipeline for automated embryo imaging on confocal microscopes. We demonstrate the efficiency of this pipeline compared to classical techniques, and how it can be repurposed or scaled to other protocols and biological systems. We hope our pipeline will serve as a platform for future research, allowing a broader community of users to build, execute, and share similar experiments.Timothy FuquaJeff JordanAliaksandr HalavatyiChristian TischerKerstin RichterJustin CrockerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Timothy Fuqua
Jeff Jordan
Aliaksandr Halavatyi
Christian Tischer
Kerstin Richter
Justin Crocker
An open-source semi-automated robotics pipeline for embryo immunohistochemistry
description Abstract A significant challenge for developmental systems biology is balancing throughput with controlled conditions that minimize experimental artifacts. Large-scale developmental screens such as unbiased mutagenesis surveys have been limited in their applicability to embryonic systems, as the technologies for quantifying precise expression patterns in whole animals has not kept pace with other sequencing-based technologies. Here, we outline an open-source semi-automated pipeline to chemically fixate, stain, and 3D-image Drosophila embryos. Central to this pipeline is a liquid handling robot, Flyspresso, which automates the steps of classical embryo fixation and staining. We provide the schematics and an overview of the technology for an engineer or someone equivalently trained to reproduce and further improve upon Flyspresso, and highlight the Drosophila embryo fixation and colorimetric or antibody staining protocols. Additionally, we provide a detailed overview and stepwise protocol for our adaptive-feedback pipeline for automated embryo imaging on confocal microscopes. We demonstrate the efficiency of this pipeline compared to classical techniques, and how it can be repurposed or scaled to other protocols and biological systems. We hope our pipeline will serve as a platform for future research, allowing a broader community of users to build, execute, and share similar experiments.
format article
author Timothy Fuqua
Jeff Jordan
Aliaksandr Halavatyi
Christian Tischer
Kerstin Richter
Justin Crocker
author_facet Timothy Fuqua
Jeff Jordan
Aliaksandr Halavatyi
Christian Tischer
Kerstin Richter
Justin Crocker
author_sort Timothy Fuqua
title An open-source semi-automated robotics pipeline for embryo immunohistochemistry
title_short An open-source semi-automated robotics pipeline for embryo immunohistochemistry
title_full An open-source semi-automated robotics pipeline for embryo immunohistochemistry
title_fullStr An open-source semi-automated robotics pipeline for embryo immunohistochemistry
title_full_unstemmed An open-source semi-automated robotics pipeline for embryo immunohistochemistry
title_sort open-source semi-automated robotics pipeline for embryo immunohistochemistry
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/9b02fcd58f7a4e718c764ec735d7ce25
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