Evidence map›Paper›PMID 28255704›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Super-resolution Analysis of TCR-Dependent Signaling: Single-Molecule Localization Microscopy.

Valarie A Barr, Jason Yi, Lawrence E Samelson

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 99% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Heterogeneity of Signaling Complex Nanostructure in T Cells Activated Via the T Cell Antigen Receptor.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2023
    Article
  2. Review
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 at 1 institution in 1 country.

Valarie A BarrLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892-4256, USA.
Jason YiLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892-4256, USA.
Lawrence E SamelsonLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892-4256, USA. samelsonl@helix.nih.gov.
Center for Cancer Research · US

Funding

Confocal Core for the Laboratory of Cellular and Molecular BiologyZICBC010978 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PALLIKKUTH, SANDEEP · 2009 to 2025
$7.6M
Confocal Core for the Laboratory of Cellular and Molecular BiologyZ01BC010978 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BARR, VALARIE · 2008 to 2008
$647k
Intramural NIH HHS Z01 BC010978Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Single-molecule localization microscopy (SMLM) comprises methods that produce super-resolution images from molecular locations of single molecules. These techniques mathematically determine the center of a diffraction-limited spot produced by a fluorescent molecule, which represents the most likely location of the molecule. Only a small cohort of well-separated molecules is visualized in a single image, and then many images are obtained from a single sample. The localizations from all the images are combined to produce a super-resolution picture of the sample. Here we describe the application of two methods, photoactivation localization microscopy (PALM) and direct stochastic optical reconstruction microscopy (dSTORM), to the study of signaling microclusters in T cells.

Indexed as

HumansJurkat CellsMolecular ImagingReceptors, Antigen, T-CellSignal TransductionT-LymphocytesReceptors, Antigen, T-CellDirect stochastic optical resolution microscopyMicroclustersPhotoactivation localization microscopySingle-molecule localization microscopySuper-resolution microscopyT cell

Identifiers

PMID28255704
PMCPMC6676910
OpenAlexW2591592463

What OpenQuestion holds

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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.