Evidence map›Paper›PMID 27535428›Full record

ArticleMolecular biology of the cell2016

Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking.

Tanumoy Saha, Isabel Rathmann, Abhiyan Viplav, Sadhana Panzade, Isabell Begemann, Christiane Rasch, Jürgen Klingauf, Maja Matis, Milos Galic

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Dendrite tapering actuates a self-organizing signaling circuit for stochastic filopodia initiation in neurons.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

9 authors.

Tanumoy SahaDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany.
Isabel RathmannDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany.
Abhiyan ViplavDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany.
Sadhana PanzadeDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany.
Isabell BegemannDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany.
Christiane RaschInstitute of Medical Physics and Biophysics, University of Münster, 48149 Münster, Germany.
Jürgen KlingaufDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany.
Maja MatisDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany.
Milos GalicDFG Cluster of Excellence Cells in Motion (EXC 1003), University of Münster, 48149 Münster, Germany galic@uni-muenster.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Filopodia are dynamic, actin-rich structures that transiently form on a variety of cell types. To understand the underlying control mechanisms requires precise monitoring of localization and concentration of individual regulatory and structural proteins as filopodia elongate and subsequently retract. Although several methods exist that analyze changes in filopodial shape, a software solution to reliably correlate growth dynamics with spatially resolved protein concentration along the filopodium independent of bending, lateral shift, or tilting is missing. Here we introduce a novel approach based on the convex-hull algorithm for parallel analysis of growth dynamics and relative spatiotemporal protein concentration along flexible filopodial protrusions. Detailed in silico tests using various geometries confirm that our technique accurately tracks growth dynamics and relative protein concentration along the filopodial length for a broad range of signal distributions. To validate our technique in living cells, we measure filopodial dynamics and quantify spatiotemporal localization of filopodia-associated proteins during the filopodial extension-retraction cycle in a variety of cell types in vitro and in vivo. Together these results show that the technique is suitable for simultaneous analysis of growth dynamics and spatiotemporal protein enrichment along filopodia. To allow readily application by other laboratories, we share source code and instructions for software handling.

Indexed as

ActinsAlgorithmsCell ShapeComputer SimulationImage Processing, Computer-AssistedPseudopodiaSoftwareSpatio-Temporal AnalysisStatistics as TopicActins

Identifiers

PMID27535428
PMCPMC5221593

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LicenceCC BY-NC-SA
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Registered trials

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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.