Evidence map›Paper›PMID 24324919›Full record

ArticleOptical nanoscopy2013

Resolving the spatial relationship between intracellular components by dual color super resolution optical fluctuations imaging (SOFI).

Maria Elena Gallina, Jianmin Xu, Thomas Dertinger, Adva Aizer, Yaron Shav-Tal, Shimon Weiss

Abstract read
In one paragraph

Article in Optical nanoscopy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Quantum Dots for Improved Single-Molecule Localization Microscopy.The journal of physical chemistry. B · 2021
    Article
  3. Article
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.

Maria Elena GallinaDepartment of Chemistry and Biochemistry, Department of Physiology, and the California NanoSystem Institute (CNSI), University of California Los Angeles, Los Angeles, CA 90095-1569, USA ; Department of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, Bologna 40126, Italy.
Jianmin Xu
Thomas Dertinger
Adva Aizer
Yaron Shav-Tal
Shimon Weiss

Funding

New Probe and Methods for Correlated LM & EMR01GM086197 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ADAMS, STEPHEN ROY, BOASSA, DANIELA · 2008 to 2020
$8.3M
Multimodal Qdot Probes for Bioimaging of Cells and Tumors in Small AnimalsR01EB000312 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WEISS, SHIMON · 2002 to 2010
$7.5M
NIBIB NIH HHS R01 EB000312NIGMS NIH HHS R01 GM086197
6 · The paper itself

Abstract

backgroundMulti-color super-resolution (SR) imaging microscopy techniques can resolve ultrastructura relationships between- and provide co-localization information of- different proteins inside the cell or even within organelles at a higher resolution than afforded by conventional diffraction-limited imaging. While still very challenging, important SR colocalization results have been reported in recent years using STED, PALM and STORM techniques.

resultsIn this work, we demonstrate dual-color Super Resolution Optical Fluctuations Imaging (SOFI) using a standard far-field fluorescence microscope and different color blinking quantum dots. We define the spatial relationship between hDcp1a, a processing body (P-body, PB) protein, and the tubulin cytoskeletal network. Our finding could open up new perspectives on the role of the cytoskeleton in PB formation and assembly. Further insights into PB internal organization are also reported and discussed.

conclusionsOur results demonstrate the suitability and facile use of multi-color SOFI for the investigation of intracellular ultrastructures.

Indexed as

Dual colorFluorescence microscopyP-bodiesSOFISuperresolution

Identifiers

PMID24324919
PMCPMC3855418

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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.