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Haptotaxis is Cell Type Specific and Limited by Substrate Adhesiveness

Overview of attention for article published in Cellular and Molecular Bioengineering, June 2015
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Title
Haptotaxis is Cell Type Specific and Limited by Substrate Adhesiveness
Published in
Cellular and Molecular Bioengineering, June 2015
DOI 10.1007/s12195-015-0398-3
Pubmed ID
Authors

Jessica H. Wen, Onkiu Choi, Hermes Taylor-Weiner, Alexander Fuhrmann, Jerome V. Karpiak, Adah Almutairi, Adam J. Engler

Abstract

Motile cells navigate through tissue by relying on tactile cues from gradients provided by extracellular matrix (ECM) such as ligand density or stiffness. Mesenchymal stem cells (MSCs) and fibroblasts encounter adhesive or 'haptotactic' gradients at the interface between healthy and fibrotic tissue as they migrate towards an injury site. Mimicking this phenomenon, we developed tunable RGD and collagen gradients in polyacrylamide hydrogels of physiologically relevant stiffness using density gradient multilayer polymerization (DGMP) to better understand how such ligand gradients regulate migratory behaviors. Independent of ligand composition and fiber deformation, haptotaxis was observed in mouse 3T3 fibroblasts. Human MSCs however, haptotaxed only when cell-substrate adhesion was indirectly reduced via addition of free soluble matrix ligand mimetic peptides. Under basal conditions, MSCs were more contractile than fibroblasts. However, the presence of soluble adhesive peptides reduced MSC-induced substrate deformations; increased contractility may contribute to limited migration, but modulating cytoskeletal assembly was ineffective at promoting MSC haptotaxis. When introduced to gradients of increased absolute ligand concentrations, 3T3s displayed increased contractility and no longer haptotaxed. These data suggest that haptotactic behaviors are limited by adhesion and that although both cell types may home to tissue to aid in repair, fibroblasts may be more responsive to ligand gradients than MSCs.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 34%
Student > Bachelor 8 16%
Student > Doctoral Student 4 8%
Researcher 3 6%
Professor 2 4%
Other 6 12%
Unknown 10 20%
Readers by discipline Count As %
Engineering 12 24%
Biochemistry, Genetics and Molecular Biology 8 16%
Agricultural and Biological Sciences 8 16%
Materials Science 4 8%
Chemistry 2 4%
Other 5 10%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2015.
All research outputs
#17,763,547
of 22,813,792 outputs
Outputs from Cellular and Molecular Bioengineering
#347
of 458 outputs
Outputs of similar age
#180,208
of 267,085 outputs
Outputs of similar age from Cellular and Molecular Bioengineering
#10
of 18 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 458 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.