Evidence map›Paper›PMID 33772008›Full record

ArticleNature communications2021

Cargo sorting zones in the trans-Golgi network visualized by super-resolution confocal live imaging microscopy in plants.

Yutaro Shimizu, Junpei Takagi, Emi Ito, Yoko Ito, Kazuo Ebine, Yamato Komatsu, Yumi Goto, Mayuko Sato, Kiminori Toyooka, Takashi Ueda and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 105 citations in OpenAlex.

  1. Review
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  6. Review
  7. Golgi Units as Modules in the Ribbon.Sub-cellular biochemistry · 2026
    Article
  8. Review
  9. Post-Golgi Trafficking in Plant Cells.Sub-cellular biochemistry · 2026
    Review
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  11. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 2 countries.

Yutaro ShimizuLive Cell Super-Resolution Imaging Research Team, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan.
Junpei TakagiFaculty of Science and Engineering, Konan University, Kobe, Hyogo, Japan.ORCID http://orcid.org/0000-0002-2409-1205
Emi ItoGraduate School of Humanities and Sciences, Ochanomizu University, Bunkyo-ku, Tokyo, Japan.
Yoko ItoLive Cell Super-Resolution Imaging Research Team, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan.ORCID http://orcid.org/0000-0002-9877-1596
Kazuo EbineDivision of Cellular Dynamics, National Institute for Basic Biology, Okazaki, Aichi, Japan.
Yamato KomatsuDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Yumi GotoTechnology Platform Division, Mass Spectrometry and Microscopy Unit, RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, Japan.
Mayuko SatoTechnology Platform Division, Mass Spectrometry and Microscopy Unit, RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-9876-5612
Kiminori ToyookaTechnology Platform Division, Mass Spectrometry and Microscopy Unit, RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-6414-5191
Takashi UedaDivision of Cellular Dynamics, National Institute for Basic Biology, Okazaki, Aichi, Japan.ORCID http://orcid.org/0000-0002-5190-892X
Kazuo KurokawaLive Cell Super-Resolution Imaging Research Team, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan.
Tomohiro UemuraGraduate School of Humanities and Sciences, Ochanomizu University, Bunkyo-ku, Tokyo, Japan. uemura.tomohiro@ocha.ac.jp.ORCID http://orcid.org/0000-0001-7270-7986
Akihiko NakanoLive Cell Super-Resolution Imaging Research Team, RIKEN Center for Advanced Photonics, Wako, Saitama, Japan. nakano@riken.jp.ORCID http://orcid.org/0000-0003-3635-548X
RIKEN Center for Advanced Photonics · JPRIKEN Center for Sustainable Resource Science · JPNational Institute for Basic Biology · JPOchanomizu University · JPCentre National de la Recherche Scientifique · FRKonan University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The trans-Golgi network (TGN) has been known as a key platform to sort and transport proteins to their final destinations in post-Golgi membrane trafficking. However, how the TGN sorts proteins with different destinies still remains elusive. Here, we examined 3D localization and 4D dynamics of TGN-localized proteins of Arabidopsis thaliana that are involved in either secretory or vacuolar trafficking from the TGN, by a multicolor high-speed and high-resolution spinning-disk confocal microscopy approach that we developed. We demonstrate that TGN-localized proteins exhibit spatially and temporally distinct distribution. VAMP721 (R-SNARE), AP (adaptor protein complex)-1, and clathrin which are involved in secretory trafficking compose an exclusive subregion, whereas VAMP727 (R-SNARE) and AP-4 involved in vacuolar trafficking compose another subregion on the same TGN. Based on these findings, we propose that the single TGN has at least two subregions, or "zones", responsible for distinct cargo sorting: the secretory-trafficking zone and the vacuolar-trafficking zone.

Indexed as

ArabidopsisArabidopsis ProteinsClathrinLuminescent ProteinsMicroscopy, ConfocalMicroscopy, Electron, TransmissionPlants, Genetically ModifiedProtein TransportR-SNARE Proteinstrans-Golgi NetworkVacuolesArabidopsis ProteinsAT3G54300 protein, ArabidopsisClathrinLuminescent ProteinsR-SNARE ProteinsVAMP721 protein, Arabidopsis

Identifiers

PMID33772008
PMCPMC7997971
OpenAlexW3136025486

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.