Evidence map›Paper›PMID 28650478›Full record

ArticleNature methods2017

A DNA origami platform for quantifying protein copy number in super-resolution.

Francesca Cella Zanacchi, Carlo Manzo, Angel S Alvarez, Nathan D Derr, Maria F Garcia-Parajo, Melike Lakadamyali

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 119 citations in OpenAlex.

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  10. Piggybacking functionalized DNA nanostructures into live cell nuclei.bioRxiv : the preprint server for biology · 2024
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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

6 authors at 4 institutions in 2 countries.

Francesca Cella ZanacchiICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Castelldefels, Spain.ORCID http://orcid.org/0000-0002-2427-3009
Carlo ManzoICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Castelldefels, Spain.ORCID http://orcid.org/0000-0002-8625-0996
Angel S AlvarezICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Castelldefels, Spain.
Nathan D DerrDepartment of Biological Sciences, Smith College, Northampton, Massachusetts, USA.
Maria F Garcia-ParajoICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Castelldefels, Spain.ORCID http://orcid.org/0000-0001-6618-3944
Melike LakadamyaliICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Castelldefels, Spain.ORCID http://orcid.org/0000-0002-7524-6414
Institute of Photonic Sciences · ESInstitució Catalana de Recerca i Estudis Avançats · ESSmith College · USUniversitat de Vic - Universitat Central de Catalunya · ES

Funding

European Research Council 337191
6 · The paper itself

Abstract

Single-molecule-based super-resolution microscopy offers researchers a unique opportunity to quantify protein copy number with nanoscale resolution. However, while fluorescent proteins have been characterized for quantitative imaging using calibration standards, similar calibration tools for immunofluorescence with small organic fluorophores are lacking. Here we show that DNA origami, in combination with GFP antibodies, is a versatile platform for calibrating fluorophore and antibody labeling efficiency to quantify protein copy number in cellular contexts using super-resolution microscopy.

Indexed as

DNAImage EnhancementLuminescent ProteinsMicroscopy, FluorescenceMolecular ImagingDNALuminescent Proteins

Identifiers

PMID28650478
PMCPMC5534338
OpenAlexW2683152696

What OpenQuestion holds

Textmetadata
LicenceTDM
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.