Evidence map›Paper›PMID 32558006›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2020

Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model.

Brian Daniels, Christian Wunder, Vanessa Chen, Malte Renz

Open access · hybridAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Brian DanielsBroad Institute, Cambridge, Massachusetts, USA.
Christian WunderInstitut Curie, PSL Research University, Cellular and Chemical Biology Unit, INSERM U 1143, CNRS UMR 3666, Paris Cedex 05, France.ORCID 0000-0001-9091-0080
Vanessa ChenDivision of Gynecologic Oncology, Stanford University School of Medicine, Stanford, California, USA.
Malte RenzDivision of Gynecologic Oncology, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-9535-7560
Stanford University · USBroad Institute · USCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although photoactivated localization microscopy offers the potential to interrogate protein interactions in the physiological environment of a cell, uncertainties in the detection efficiency of photoactivatable proteins lead to complications with data interpretation. Here, we present a numerical model that provides probabilities to detect neighboring molecules dependent on their oligomerization status, density, detection efficiency, and radius, and can be used to assess oligomeric states or detection efficiencies of two molecular species. © 2020 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.

Indexed as

MicroscopyProteinsProteinsdetection efficiencynumerical modeloligomeric statesphotoactivated localization microscopy

Identifiers

PMID32558006
PMCPMC7754424
OpenAlexW3036161242

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.