Evidence map›Paper›PMID 27246003›Full record

ArticleHistochemistry and cell biology2016

Dense small molecule labeling enables activator-dependent STORM by proximity mapping.

Ye Chen, Min Gu, Peter W Gunning, Sarah M Russell

Abstract read
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In one paragraph

Article in Histochemistry and cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
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  6. Review
  7. In Focus in HCB.Histochemistry and cell biology · 2016
    Article
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

4 authors.

Ye ChenImmune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
Min GuCentre for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, VIC, Australia.
Peter W GunningSchool of Medical Sciences, UNSW Australia, Sydney, NSW, 2052, Australia.
Sarah M RussellImmune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia. Sarah.russell@petermac.org.ORCID http://orcid.org/0000-0001-5826-9641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stochastic optical reconstruction microscopy (STORM) enables high-resolution imaging, but multi-channel 3D imaging is problematic because of chromatic aberrations and alignment errors. The use of activator-dependent STORM in which spectrally distinct activators can be coupled with a single reporter can circumvent such issues. However, the standard approach of linking activators and reporters to a single antibody molecule is hampered by low labeling density and the large size of the antibody. We proposed that small molecule labels might enable activator-dependent STORM if the reporter or activator were linked to separate small molecules that bound within 3.5 nm of each other. This would greatly increase the labeling density and therefore improve resolution. We tested various mixtures of phalloidin- or mCling-conjugated fluorophore to demonstrate this feasibility. The specific activation was dependent on the choice of activator, its density, a matching activating laser and its power. In addition to providing an effective means of multi-channel 3D STORM imaging, this method also provides information about the local proximity between labels, potentially enabling super-resolved mapping of the conformation of the labeled structures.

Indexed as

Image Processing, Computer-AssistedActinsCells, CulturedHEK293 CellsHumansImaging, Three-DimensionalMicroscopy, FluorescencePhalloidineStaining and LabelingStochastic ProcessesActinsPhalloidineActinMulti-channel imagingSingle-molecule localization microscopySmall molecule labelsSuper-resolution imaging

Identifiers

What OpenQuestion holds

Textmetadata
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.