Evidence map›Paper›PMID 28494958›Full record

ArticleBiophysical journal2017

Integrated Analysis of Intracellular Dynamics of MenaINV Cancer Cells in a 3D Matrix.

Michael Mak, Sarah Anderson, Meghan C McDonough, Fabian Spill, Jessica E Kim, Alexandra Boussommier-Calleja, Muhammad H Zaman, Roger D Kamm

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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  13. Mechanical and Systems Biology of Cancer.Computational and structural biotechnology 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

8 authors at 3 institutions in 1 country.

Michael MakDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts; Department of Biomedical Engineering, Boston University, Boston, Massachusetts. Electronic address: michael.mak@yale.edu.
Sarah AndersonHarvey Mudd College, Claremont, California.
Meghan C McDonoughDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Fabian SpillDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts; Department of Biomedical Engineering, Boston University, Boston, Massachusetts.
Jessica E KimDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Alexandra Boussommier-CallejaDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Muhammad H ZamanDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts; Howard Hughes Medical Institute, Boston University, Boston, Massachusetts. Electronic address: zaman@bu.edu.
Roger D KammDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts. Electronic address: rdkamm@mit.edu.
Boston University · USMassachusetts Institute of Technology · USHarvey Mudd College · US

Funding

Modeling bi-directional signaling and cytoskeletal dynamics in 3D cell migrationsU01CA177799 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GERTLER, FRANK B, KAMM, ROGER D · 2013 to 2017
$3.0M
Multiscale Analysis of Cancer Cell MechanicsF32CA196149 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MAK, MICHAEL · 2015 to 2016
$98k
NCI NIH HHS F32 CA196149NCI NIH HHS U01 CA177799
6 · The paper itself

Abstract

The intracellular environment is composed of a filamentous network that exhibits dynamic turnover of cytoskeletal components and internal force generation from molecular motors. Particle tracking microrheology enables a means to probe the internal mechanics and dynamics. Here, we develop an analytical model to capture the basic features of the active intracellular mechanical environment, including both thermal and motor-driven effects, and show consistency with a diverse range of experimental microrheology data. We further perform microrheology experiments, integrated with Brownian dynamics simulations of the active cytoskeleton, on metastatic breast cancer cells embedded in a three-dimensional collagen matrix with and without the presence of epidermal growth factor to probe the intracellular mechanical response in a physiologically mimicking scenario. Our results demonstrate that EGF stimulation can alter intracellular stiffness and power output from molecular motor-driven fluctuations in cells overexpressing an invasive isoform of the actin-associated protein Mena.

Indexed as

AdenocarcinomaAlgorithmsBreast NeoplasmsCell Line, TumorCollagenComputer SimulationCytoskeletonEpidermal Growth FactorHumansIntracellular SpaceMicrofilament ProteinsMitochondriaModels, BiologicalMotionRheologyTissue ScaffoldsCollagenEnah protein, humanEpidermal Growth FactorMicrofilament Proteins

Identifiers

PMID28494958
PMCPMC5425400
OpenAlexW2612081490

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.