Zebrafish Larvae Position Tracker (Z-LaP Tracker): a high-throughput deep-learning behavioral approach for the identification of calcineurin pathway-modulating drugs using zebrafish larvae.
Zebrafish Larvae Position Tracker (Z-LaP Tracker): a high-throughput deep-learning behavioral approach for the identification of calcineurin pathway-modulating drugs using zebrafish larvae.
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DOI:
10.1038/s41598-023-30303-w
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发表时间:
2023-02-23
影响因子:
4.6
通讯作者:
Creton, Robbert
中科院分区:
文献类型:
--
作者:
Gore, Sayali V.;Kakodkar, Rohit;Hernandez, Thais Del Rosario;Edmister, Sara Tucker;Creton, Robbert
Brain function studies greatly depend on quantification and analysis of behavior. While behavior can be imaged efficiently, the quantification of specific aspects of behavior is labor-intensive and may introduce individual biases. Recent advances in deep learning and artificial intelligence-based tools have made it possible to precisely track individual features of freely moving animals in diverse environments without any markers. In the current study, we developed Zebrafish Larvae Position Tracker (Z-LaP Tracker), a modification of the markerless position estimation software DeepLabCut, to quantify zebrafish larval behavior in a high-throughput 384-well setting. We utilized the high-contrast features of our model animal, zebrafish larvae, including the eyes and the yolk for our behavioral analysis. Using this experimental setup, we quantified relevant behaviors with similar accuracy to the analysis performed by humans. The changes in behavior were organized in behavioral profiles, which were examined by K-means and hierarchical cluster analysis. Calcineurin inhibitors exhibited a distinct behavioral profile characterized by increased activity, acoustic hyperexcitability, reduced visually guided behaviors, and reduced habituation to acoustic stimuli. The developed methodologies were used to identify ‘CsA-type’ drugs that might be promising candidates for the prevention and treatment of neurological disorders.
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影响因子:
4.6
作者:
Edmister, Sara Tucker;Hernandez, Thais Del Rosario;Ibrahim, Rahma;Brown, Cameron A.;Gore, Sayali, V;Kakodkar, Rohit;Kreiling, Jill A.;Creton, Robbert
通讯作者:
Creton, Robbert
DOI:
10.1523/jneurosci.1064-09.2009
发表时间:
2009-10-14
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Abdul HM;Sama MA;Furman JL;Mathis DM;Beckett TL;Weidner AM;Patel ES;Baig I;Murphy MP;LeVine H 3rd;Kraner SD;Norris CM
通讯作者:
Norris CM
DOI:
10.1002/alz.12325
发表时间:
2021-06
期刊:
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子:
--
作者:
Datta D;Leslie SN;Wang M;Morozov YM;Yang S;Mentone S;Zeiss C;Duque A;Rakic P;Horvath TL;van Dyck CH;Nairn AC;Arnsten AFT
通讯作者:
Arnsten AFT
影响因子:
5.3
作者:
Green, Kim N.;Billings, Lauren M.;LaFerla, Frank M.
通讯作者:
LaFerla, Frank M.
影响因子:
3.2
作者:
Ge M;Zhang J;Chen S;Huang Y;Chen W;He L;Zhang Y
通讯作者:
Zhang Y