Evidence map›Paper›PMID 26561203›Full record

ArticleOncotarget2015

Single-Molecule Localization Microscopy allows for the analysis of cancer metastasis-specific miRNA distribution on the nanoscale.

Olga Oleksiuk, Mohammed Abba, Kerem Can Tezcan, Wladimir Schaufler, Felix Bestvater, Nitin Patil, Udo Birk, Mathias Hafner, Peter Altevogt, Christoph Cremer and 1 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Oncotarget, 2015. 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
1.4field-weighted citation impact, top 19% 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, 26 citations in OpenAlex.

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  9. In Vitro Modeling of Mechanics in Cancer Metastasis.ACS biomaterials science & engineering · 2018
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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

11 authors at 5 institutions in 2 countries.

Olga OleksiukDepartment of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany.
Mohammed AbbaDepartment of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany.
Kerem Can TezcanDepartment of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany.
Wladimir SchauflerLight Microscopy Facility, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
Felix BestvaterLight Microscopy Facility, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
Nitin PatilDepartment of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany.
Udo BirkInstitute of Molecular Biology (IMB), Mainz, Germany.
Mathias HafnerInstitute for Molecular and Cellular Biology, Mannheim University of Applied Sciences, Mannheim, Germany.
Peter AltevogtSkin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg and Dept. of Dermatology, Venereology and Allergology, UMM, University of Heidelberg, Heidelberg, Germany.
Christoph CremerInstitute of Molecular Biology (IMB), Mainz, Germany.
Heike AllgayerDepartment of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany.
Heidelberg University · DEUniversity Medical Centre Mannheim · DEInstitute of Molecular Biology · DEUniversity Hospital Heidelberg · DEMannheim University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a novel approach for the detection of small non-coding RNAs in single cells by Single-Molecule Localization Microscopy (SMLM). We used a modified SMLM-setup and applied this instrument in a first proof-of-principle concept to human cancer cell lines. Our method is able to visualize single microRNA (miR)-molecules in fixed cells with a localization accuracy of 10-15 nm, and is able to quantify and analyse clustering and localization in particular subcellular sites, including exosomes. We compared the metastasis-site derived (SW620) and primary site derived (SW480) human colorectal cancer (CRC) cell lines, and (as a proof of principle) evaluated the metastasis relevant miR-31 as a first example. We observed that the subcellular distribution of miR-31 molecules in both cell lines was very heterogeneous with the largest subpopulation of optically acquired weakly metastatic cells characterized by a low number of miR-31 molecules, as opposed to a significantly higher number in the majority of the highly metastatic cells. Furthermore, the highly metastatic cells had significantly more miR-31-molecules in the extracellular space, which were visualized to co-localize with exosomes in significantly higher numbers. From this study, we conclude that miRs are not only aberrantly expressed and regulated, but also differentially compartmentalized in cells with different metastatic potential. Taken together, this novel approach, by providing single molecule images of miRNAs in cellulo can be used as a powerful supplementary tool in the analysis of miRNA function and behaviour and has far reaching potential in defining metastasis-critical subpopulations within a given heterogeneous cancer cell population.

Indexed as

Cell Line, TumorColonic NeoplasmsExosomesGene Expression Regulation, NeoplasticGenotypeHumansImage Processing, Computer-AssistedLymphatic MetastasisMicroRNAsMicroscopyMolecular ImagingNanotechnologyPhenotypeTransfectionMicroRNAsMIRN31 microRNA, humanlocalization microscopymetastasismicroRNAsmiR-31super-resolution

Identifiers

PMID26561203
PMCPMC4792589
OpenAlexW2123673314

What OpenQuestion holds

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Registered trials

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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.