Evidence map›Paper›PMID 29162705›Full record

ArticlemBio2017

Three-Dimensional Superresolution Imaging of the FtsZ Ring during Cell Division of the Cyanobacterium

Riyue Liu, Yaxin Liu, Shichang Liu, Ying Wang, Kim Li, Ning Li, Daiying Xu, Qinglu Zeng

Open access · goldAbstract read
In one paragraph

Article in mBio, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  8. Visualization of Protein Sorting at theFrontiers in cell and developmental biology · 2019
    Article
  9. Review
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

8 authors at 2 institutions in 2 countries.

Riyue LiuDivision of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
Yaxin LiuEnvironmental Science Programs, The Hong Kong University of Science and Technology, Hong Kong, China.
Shichang LiuDivision of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
Ying WangNanobioimaging Ltd., Hong Kong, China.
Kim LiDivision of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
Ning LiDivision of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
Daiying XuNanobioimaging Ltd., Hong Kong, China dxu@nbi.hk zeng@ust.hk.
Qinglu ZengDivision of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China dxu@nbi.hk zeng@ust.hk.ORCID 0000-0002-5616-7155
Hong Kong University of Science and Technology · HKNanoBioImaging (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Superresolution imaging has revealed subcellular structures and protein interactions in many organisms. However, superresolution microscopy with lateral resolution better than 100 nm has not been achieved in photosynthetic cells due to the interference of a high-autofluorescence background. Here, we developed a photobleaching method to effectively reduce the autofluorescence of cyanobacterial and plant cells. We achieved lateral resolution of ~10 nm with stochastic optical reconstruction microscopy (STORM) in the sphere-shaped cyanobacterium

Indexed as

Cell DivisionArabidopsis ProteinsBacterial ProteinsCell CycleCytoskeletal ProteinsImaging, Three-DimensionalMicroscopy, FluorescencePhotobleachingProchlorococcusArabidopsis ProteinsBacterial ProteinsCytoskeletal ProteinsFTSZ protein, ArabidopsisFtsZ protein, Bacteriacell divisioncyanobacteriaFtsZ ringProchlorococcussuperresolution imaging

Identifiers

PMID29162705
PMCPMC5698547
OpenAlexW2770367632

What OpenQuestion holds

Textmetadata
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.