Data

Dynamin1 long- and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters

The University of Queensland
Dr Rachel Gormal (Aggregated by) Dr Rachel Gormal (Aggregated by) Dr Shanley Longfield (Aggregated by) Dr Shanley Longfield (Aggregated by) Mr Anmin Jiang (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/5d9371d&rft.title=Dynamin1 long- and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters&rft.identifier=RDM ID: f14fc307-9765-4d2d-b2fb-4a72beedb60c&rft.publisher=The University of Queensland&rft.description=This dataset is the source data of the paper “Dynamin1 long- and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters” which is published in Nature communications. The source data includes the raw movies of the TIRF low resolution imaging of GPF tagged Dyn1aa, Dyn1ab, and Dyn1bb to assess the recruitment of Dyn1 via intensity changes in response to stimulation. The raw movies of sptPALM super-resolution imaging are also included in this dataset to study the nanoscale mobility changes and the spatiotemporal nanoclustering of Dyn1 isoforms in response to stimulation.&rft.creator=Dr Rachel Gormal&rft.creator=Dr Rachel Gormal&rft.creator=Dr Shanley Longfield&rft.creator=Dr Shanley Longfield&rft.creator=Mr Anmin Jiang&rft.creator=Mr Anmin Jiang&rft.creator=Mr Anmin Jiang&rft.creator=Mr Kye Kudo&rft.creator=Mrs Shanley Longfield&rft.creator=Mrs Shanley Longfield&rft.creator=Ms Mahe Bouquet&rft.creator=Ms Mahe Bouquet&rft.creator=Professor Frederic Meunier&rft.creator=Professor Frederic Meunier&rft.date=2024&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Endocytosis&rft_subject=Neurosciences&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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f.meunier@uq.edu.au
Queensland Brain Institute

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This dataset is the source data of the paper “Dynamin1 long- and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters” which is published in Nature communications. The source data includes the raw movies of the TIRF low resolution imaging of GPF tagged Dyn1aa, Dyn1ab, and Dyn1bb to assess the recruitment of Dyn1 via intensity changes in response to stimulation. The raw movies of sptPALM super-resolution imaging are also included in this dataset to study the nanoscale mobility changes and the spatiotemporal nanoclustering of Dyn1 isoforms in response to stimulation.

Issued: 2024

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Subjects
Biomedical and Clinical Sciences | Endocytosis | Neurosciences | eng |

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Dynamin1 long- and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters

local : UQ:edb5c36

Jiang, Anmin, Kudo, Kye, Gormal, Rachel S., Ellis, Sevannah, Guo, Sikao, Wallis, Tristan P., Longfield, Shanley F., Robinson, Phillip J., Johnson, Margaret E., Joensuu, Merja and Meunier, Frédéric A. (2024). Dynamin1 long- and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters. Nature Communications, 15 (1) 4060, 1-21. doi: 10.1038/s41467-024-47677-8

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local : UQ:289097

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