Evidence map›Paper›PMID 28730471›Full record

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

Single-Cell Imaging of ERK Signaling Using Fluorescent Biosensors.

Michael Pargett, Taryn E Gillies, Carolyn K Teragawa, Breanne Sparta, John G Albeck

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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  4. Two novel red-FRET ERK bosensors in the 670-720 nm range.Journal of biological engineering · 2025
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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

5 authors.

Michael PargettDepartment of Molecular and Cellular Biology, University of California, Davis, 243 Briggs Hall, One Shields Avenue, Davis, CA, 95616, USA.
Taryn E GilliesDepartment of Molecular and Cellular Biology, University of California, Davis, 243 Briggs Hall, One Shields Avenue, Davis, CA, 95616, USA.
Carolyn K TeragawaDepartment of Molecular and Cellular Biology, University of California, Davis, 243 Briggs Hall, One Shields Avenue, Davis, CA, 95616, USA.
Breanne SpartaDepartment of Molecular and Cellular Biology, University of California, Davis, 243 Briggs Hall, One Shields Avenue, Davis, CA, 95616, USA.
John G AlbeckDepartment of Molecular and Cellular Biology, University of California, Davis, 243 Briggs Hall, One Shields Avenue, Davis, CA, 95616, USA. jgalbeck@ucdavis.edu.

Funding

UC Davis MCB T32 Administrative Supplement to Recognize Excellence in Diversity, Equity, Inclusion, and Accessibility (DEIA) MentorshipT32GM007377 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI CHEDIN, FREDERIC LOUIS · 1985 to 2023
$9.9M
NIGMS NIH HHS T32 GM007377
6 · The paper itself

Abstract

Single-cell analysis of the mitogen-activated protein kinase (MAPK) extracellular signal-regulated kinase (ERK) provides a means to perform highly detailed kinetic studies, assess heterogeneity between cells, and distinguish the subcellular localization of ERK activity. We describe here the methods needed to perform such measurements in a cell type of the investigator's choosing. We discuss the selection of appropriate reporters and provide detailed methods for stably introducing reporters, collecting live-cell data, and automatically extracting quantitative information from individual cells.

Indexed as

Biosensing TechniquesMolecular ImagingSignal TransductionSingle-Cell AnalysisCell Line, TumorExtracellular Signal-Regulated MAP KinasesHumansImage Processing, Computer-AssistedMicroscopy, FluorescenceExtracellular Signal-Regulated MAP KinasesERKFRETLive-cell microscopyMAPKSingle cellTranslocation

Identifiers

PMID28730471
PMCPMC8005261

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.