Increased spatiotemporal resolution reveals highly dynamic dense tubular matrices in the peripheral ER.

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Title: Increased spatiotemporal resolution reveals highly dynamic dense tubular matrices in the peripheral ER.
Authors: Nixon-Abell, Jonathon (AUTHOR), Obara, Christopher J. (AUTHOR), Weigel, Aubrey V. (AUTHOR), Dong Li (AUTHOR), Legant, Wesley R. (AUTHOR), Xu, C. Shan (AUTHOR), Pasolli, H. Amalia (AUTHOR), Harvey, Kirsten (AUTHOR), Hess, Harald F. (AUTHOR), Betzig, Eric (AUTHOR), Blackstone, Craig (AUTHOR), Lippincott-Schwartz, Jennifer (AUTHOR)
Source: Science (pre-March 2025). 10/28/2016, Vol. 354 Issue 6311, paaf3928-1-aaf3928-12. 12p. 4 Color Photographs, 1 Black and White Photograph, 3 Graphs.
Subjects: Endoplasmic reticulum, High resolution imaging, Morphology, Genetic overexpression, Confounding variables, Cell anatomy
Abstract: The endoplasmic reticulum (ER) is an expansive, membrane-enclosed organelle that plays crucial roles in numerous cellular functions. We used emerging superresolution imaging technologies to clarify the morphology and dynamics of the peripheral ER, which contacts and modulates most other intracellular organelles. Peripheral components of the ER have classically been described as comprising both tubules and flat sheets. We show that this system consists almost exclusively of tubules at varying densities, including structures that we term ER matrices. Conventional optical imaging technologies had led to misidentification of these structures as sheets because of the dense clustering of tubular junctions and a previously uncharacterized rapid form of ER motion. The existence of ER matrices explains previous confounding evidence that had indicated the occurrence of ER “sheet” proliferation after overexpression of tubular junction–forming proteins. [ABSTRACT FROM AUTHOR]
Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: Increased spatiotemporal resolution reveals highly dynamic dense tubular matrices in the peripheral ER.
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  Data: <searchLink fieldCode="AR" term="%22Nixon-Abell%2C+Jonathon%22">Nixon-Abell, Jonathon</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Obara%2C+Christopher+J%2E%22">Obara, Christopher J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Weigel%2C+Aubrey+V%2E%22">Weigel, Aubrey V.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong+Li%22">Dong Li</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Legant%2C+Wesley+R%2E%22">Legant, Wesley R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+C%2E+Shan%22">Xu, C. Shan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pasolli%2C+H%2E+Amalia%22">Pasolli, H. Amalia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Harvey%2C+Kirsten%22">Harvey, Kirsten</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hess%2C+Harald+F%2E%22">Hess, Harald F.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Betzig%2C+Eric%22">Betzig, Eric</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Blackstone%2C+Craig%22">Blackstone, Craig</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lippincott-Schwartz%2C+Jennifer%22">Lippincott-Schwartz, Jennifer</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 10/28/2016, Vol. 354 Issue 6311, paaf3928-1-aaf3928-12. 12p. 4 Color Photographs, 1 Black and White Photograph, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Endoplasmic+reticulum%22">Endoplasmic reticulum</searchLink><br /><searchLink fieldCode="DE" term="%22High+resolution+imaging%22">High resolution imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Morphology%22">Morphology</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+overexpression%22">Genetic overexpression</searchLink><br /><searchLink fieldCode="DE" term="%22Confounding+variables%22">Confounding variables</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+anatomy%22">Cell anatomy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The endoplasmic reticulum (ER) is an expansive, membrane-enclosed organelle that plays crucial roles in numerous cellular functions. We used emerging superresolution imaging technologies to clarify the morphology and dynamics of the peripheral ER, which contacts and modulates most other intracellular organelles. Peripheral components of the ER have classically been described as comprising both tubules and flat sheets. We show that this system consists almost exclusively of tubules at varying densities, including structures that we term ER matrices. Conventional optical imaging technologies had led to misidentification of these structures as sheets because of the dense clustering of tubular junctions and a previously uncharacterized rapid form of ER motion. The existence of ER matrices explains previous confounding evidence that had indicated the occurrence of ER “sheet” proliferation after overexpression of tubular junction–forming proteins. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1126/science.aaf3928
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        Text: English
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        PageCount: 12
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      – SubjectFull: Endoplasmic reticulum
        Type: general
      – SubjectFull: High resolution imaging
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      – SubjectFull: Morphology
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      – SubjectFull: Genetic overexpression
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      – SubjectFull: Confounding variables
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      – SubjectFull: Cell anatomy
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      – TitleFull: Increased spatiotemporal resolution reveals highly dynamic dense tubular matrices in the peripheral ER.
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              Text: 10/28/2016
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              Y: 2016
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