Evidence map›Paper›PMID 29315318›Full record

ArticlePloS one2018

Correlative light and immuno-electron microscopy of retinal tissue cryostat sections.

Thomas Burgoyne, Amelia Lane, William E Laughlin, Michael E Cheetham, Clare E Futter

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Thomas BurgoyneInstitute of Ophthalmology, University College London, London, United Kingdom.
Amelia LaneInstitute of Ophthalmology, University College London, London, United Kingdom.
William E LaughlinInstitute of Ophthalmology, University College London, London, United Kingdom.
Michael E CheethamInstitute of Ophthalmology, University College London, London, United Kingdom.
Clare E FutterInstitute of Ophthalmology, University College London, London, United Kingdom.ORCID 0000-0001-5559-9389
University College London · GBRoyal Brompton Hospital · GB

Funding

Medical Research Council MR/P010091/1Wellcome Trust 093445Wellcome Trust 205041/Z/16/Z
6 · The paper itself

Abstract

Correlative light-electron microscopy (CLEM) is a powerful technique allowing localisation of specific macromolecules within fluorescence microscopy (FM) images to be mapped onto corresponding high-resolution electron microscopy (EM) images. Existing methods are applicable to limited sample types and are technically challenging. Here we describe novel methods to perform CLEM and immuno-electron microscopy (iEM) on cryostat sections utilising the popular FM embedding solution, optimal cutting temperature (OCT) compound. Utilising these approaches, we have (i) identified the same phagosomes by FM and EM in the retinal pigment epithelium (RPE) of retinal tissue (ii) shown the correct localisation of rhodopsin on photoreceptor outer segment disc like-structures in iPSC derived optic cups and (iii) identified a novel interaction between peroxisomes and melanosomes as well as phagosomes in the RPE. These data show that cryostat sections allow easy characterisation of target macromolecule localisation within tissue samples, thus providing a substantial improvement over many conventional methods that are limited to cultured cells. As OCT embedding is routinely used for FM this provides an easily accessible and robust method for further analysis of existing samples by high resolution EM.

Indexed as

LightAnimalsMiceMice, Inbred C57BLMicroscopy, ImmunoelectronRetinaTomography, Optical Coherence

Identifiers

PMID29315318
PMCPMC5760081
OpenAlexW2783489531

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.