Evidence map›Paper›PMID 27466316›Full record

ArticleMolecular biology of the cell2016

Model-independent counting of molecules in single-molecule localization microscopy.

Gerhard Hummer, Franziska Fricke, Mike Heilemann

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  19. Quantitative Assessment of Labeling Probes for Super-Resolution Microscopy Using Designer DNA Nanostructures.Chemphyschem : a European journal of chemical physics and physical chemistry · 2021
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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

3 authors.

Gerhard HummerDepartment of Theoretical Biophysics, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany gerhard.hummer@biophys.mpg.de.
Franziska FrickeInstitute of Physical and Theoretical Chemistry, Goethe-University Frankfurt, 60438 Frankfurt am Main, Germany.
Mike HeilemannInstitute of Physical and Theoretical Chemistry, Goethe-University Frankfurt, 60438 Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most biomolecular processes rely on tightly controlled stoichiometries, from the formation of molecular assemblies to cellular signaling. Single-molecule localization micro-scopy studies of fluorophore blinking offer a promising route to probe oligomeric states. Here we show that the distribution of the number of blinking events assumes a universal functional form, independent of photophysics, under relatively mild assumptions. The number of photophysical states, the kinetics of interconversion, and the fraction of active fluorophores enter as two or three constants. This essentially model-independent formulation allows us to determine molecule counts from fluorophore blinking statistics. The formulas hold even if the fluorophores have many different yet unresolved dark states, as long as there is only a single fluorescent state, or if there are different yet unresolvable fluorescent states, as long as there is only a single dark state. We demonstrate the practical applicability of this approach by quantifying the oligomerization states of membrane proteins tagged with the mEos2 fluorescent protein. We find that the model parameters, obtained by likelihood maximization, are transferable. With the counting statistics being independent of the detailed photophysics and its parameters being transferable, the method should be robust and broadly applicable to counting colocalized molecules in vivo and in vitro.

Indexed as

Fluorescent DyesKineticsMicroscopy, FluorescenceModels, TheoreticalProteinsSingle Molecule ImagingFluorescent DyesProteins

Identifiers

PMID27466316
PMCPMC5221595

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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.