Evidence map›Paper›PMID 23994242›Full record

ArticleMethods (San Diego, Calif.)2014

Automated line scan analysis to quantify biosensor activity at the cell edge.

R J Allen, D Tsygankov, J S Zawistowski, T C Elston, K M Hahn

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 1 institution in 1 country.

R J AllenDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
D TsygankovDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
J S ZawistowskiDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
T C ElstonDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
K M HahnDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States. Electronic address: khahn@med.unc.edu.
University of North Carolina at Chapel Hill · US

Funding

Spatio-temporal dynamics of GEF-GTPase networksP01GM103723 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HALL, ALAN · 2013 to 2017
$5.5M
Spatiotemporal modeling of signal transduction in yeastR01GM079271 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C, ERREDE, BEVERLY · 2006 to 2017
$4.0M
FLUORESCENT INDICATORS OF RHO AND RAN NUCLEOTIDE STATER01GM057464 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAHN, KLAUS M. · 1999 to 2011
$3.5M
FLUORESCENT INDICATORS OF RHO AND RAN NUCLEOTIDE STATER55GM057464 · NIGMS · SCRIPPS RESEARCH INSTITUTE · PI HAHN, KLAUS MICHAEL · 1998 to 1998
–
NIGMS NIH HHS GM057464NIGMS NIH HHS GM079271NIGMS NIH HHS P01 GM103723NIGMS NIH HHS R01 GM057464NIGMS NIH HHS R01 GM079271PHS HHS NCI 200079604
6 · The paper itself

Abstract

Biosensors are valuable tools used to image the subcellular localization and kinetics of protein activity in living cells. Signaling at the edge of motile cells that regulates cell protrusion and retraction is important in many aspects of cell physiology, and frequently studied using biosensors. However, quantitation and interpretation is limited by the heterogeneity of this signaling behavior; automated analytical approaches are required to systematically extract large data sets from biosensor studies for statistical analysis. Here we describe an automated analysis to relate the velocity at specific points along the cell edge with biosensor activity in adjoining regions. Time series of biosensor images are processed to interpolate a smooth edge of the cell at each time point. Profiles of biosensor activity ('line scans') are then calculated along lines perpendicular to the cell edge. An energy minimization method is used to calculate a velocity associated with each line scan. Sorting line scans by the proximal velocity has generated novel biological insights, as exemplified by analysis of the Src merobody biosensor. With the large data sets that can be generated automatically by this program, conclusions can be drawn that are not apparent from qualitative or 'manual' quantitative techniques. Our 'LineScan' software includes a graphical user interface (GUI) to facilitate application in other studies. It is available at hahnlab.com and is exemplified here in a study using the RhoC FLARE biosensor.

Indexed as

Biosensing TechniquesSoftwareAnimalsCells, CulturedImage Processing, Computer-AssistedMiceras ProteinsrhoC GTP-Binding Proteinras ProteinsrhoC GTP-Binding ProteinRhoc protein, mouseActinBiosensorGUILinescanMotilitySoftware

Identifiers

PMID23994242
PMCPMC4296898
OpenAlexW2030009616

What OpenQuestion holds

Textmetadata
LicenceTDM
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.