Evidence map›Paper›PMID 31719851›Full record

ArticleCellular and molecular bioengineering2017

Label-Free Automated Cell Tracking: Analysis of the Role of E-cadherin Expression in Collective Electrotaxis.

Mark L Lalli, Brooke Wojeski, Anand R Asthagiri

Open access · hybridAbstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2017. 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 25% 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, 7 citations in OpenAlex.

  1. Article
  2. Overriding native cell coordination enhances external programming of collective cell migration.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  3. Article
  4. Collective gradient sensing and chemotaxis: modeling and recent developments.Journal of physics. Condensed matter : an Institute of Physics journal · 2018
    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.

Mark L Lalli1Department of Chemical Engineering, Northeastern University, 360 Huntington Ave., Boston, MA 02115 USA.
Brooke Wojeski1Department of Chemical Engineering, Northeastern University, 360 Huntington Ave., Boston, MA 02115 USA.
Anand R Asthagiri1Department of Chemical Engineering, Northeastern University, 360 Huntington Ave., Boston, MA 02115 USA.
Northeastern University · US

Funding

Quantitative analysis of epithelial cell scatterR01CA138899 · NCI · NORTHEASTERN UNIVERSITY · PI ASTHAGIRI, ANAND R · 2010 to 2014
$1.3M
NCI NIH HHS R01 CA138899
6 · The paper itself

Abstract

Collective cell migration plays an important role in wound healing, organogenesis, and the progression of metastatic disease. Analysis of collective migration typically involves laborious and time-consuming manual tracking of individual cells within cell clusters over several dozen or hundreds of frames. Herein, we develop a label-free, automated algorithm to identify and track individual epithelial cells within a free-moving cluster. We use this algorithm to analyze the effects of partial E-cadherin knockdown on collective migration of MCF-10A breast epithelial cells directed by an electric field. Our data show that E-cadherin knockdown in free-moving cell clusters diminishes electrotactic potential, with empty vector MCF-10A cells showing 16% higher directedness than cells with E-cadherin knockdown. Decreased electrotaxis is also observed in isolated cells at intermediate electric fields, suggesting an adhesion-independent role of E-cadherin in regulating electrotaxis. In additional support of an adhesion-independent role of E-cadherin, isolated cells with reduced E-cadherin expression reoriented within an applied electric field 60% more quickly than control. These results have implications for the role of E-cadherin expression in electrotaxis and demonstrate proof-of-concept of an automated algorithm that is broadly applicable to the analysis of collective migration in a wide range of physiological and pathophysiological contexts.

Indexed as

Cell–cell interactionsElectrotaxisGuidance cuesImage analysis

Identifiers

PMID31719851
PMCPMC6816619
OpenAlexW2537039928

What OpenQuestion holds

Textmetadata
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.