| Title |
A Cell-Based Model of Extracellular-Matrix-Guided Endothelial Cell Migration During Angiogenesis
|
|---|---|
| Published in |
Bulletin of Mathematical Biology, March 2013
|
| DOI | 10.1007/s11538-013-9826-5 |
| Pubmed ID | |
| Authors |
Josephine T. Daub, Roeland M. H. Merks |
| Abstract |
Angiogenesis, the formation of new blood vessels sprouting from existing ones, occurs in several situations like wound healing, tissue remodeling, and near growing tumors. Under hypoxic conditions, tumor cells secrete growth factors, including VEGF. VEGF activates endothelial cells (ECs) in nearby vessels, leading to the migration of ECs out of the vessel and the formation of growing sprouts. A key process in angiogenesis is cellular self-organization, and previous modeling studies have identified mechanisms for producing networks and sprouts. Most theoretical studies of cellular self-organization during angiogenesis have ignored the interactions of ECs with the extra-cellular matrix (ECM), the jelly or hard materials that cells live in. Apart from providing structural support to cells, the ECM may play a key role in the coordination of cellular motility during angiogenesis. For example, by modifying the ECM, ECs can affect the motility of other ECs, long after they have left. Here, we present an explorative study of the cellular self-organization resulting from such ECM-coordinated cell migration. We show that a set of biologically-motivated, cell behavioral rules, including chemotaxis, haptotaxis, haptokinesis, and ECM-guided proliferation suffice for forming sprouts and branching vascular trees. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 3 | 2% |
| Colombia | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 144 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 34% |
| Researcher | 27 | 18% |
| Student > Master | 20 | 13% |
| Student > Postgraduate | 10 | 7% |
| Student > Bachelor | 4 | 3% |
| Other | 13 | 8% |
| Unknown | 27 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 24% |
| Engineering | 26 | 17% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Mathematics | 12 | 8% |
| Physics and Astronomy | 10 | 7% |
| Other | 26 | 17% |
| Unknown | 30 | 20% |
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 18 March 2013.
All research outputs
#15,266,089
of 22,701,287 outputs
Outputs from Bulletin of Mathematical Biology
#720
of 1,092 outputs
Outputs of similar age
#123,085
of 196,095 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#4
of 12 outputs
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So far Altmetric has tracked 1,092 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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