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Tip cells in angiogenesis: the role of selection and behavior Margriet Palm 1,3,4 , Erik van Dijk 1,2,3 , Anton Feenstra 2,3 and Roeland Merks 1,3,4 1 CWI & 2 VU & 3 NISB & 4 NCSB Contact: [email protected] [email protected] Introduction Sprouting angiogenesis is the formation of new blood vessels by splitting of a new vessel from an existing one. This process plays a vital role in pathological and phys- iological processes, including tumor growth, wound healing, and age-related macular degeneration. New sprouts are formed when a tip cell grows out of the vessel, fol- lowed by stalk cells. The tip cell is highly motile and extends a multitude of filopodia allowing the tip cell to explore its environment and sense chemoattractants secreted by the hypoxic tissue such as vascular endothelial growth factor (VEGF). Tip cell se- lection is regulated by Dll4-Notch lateral inhibition: a tip cell inhibits tip cell fate of its neighbors. This regulation is augmented by VEGF which can induce tip cell fate. We aim to understand the role of tip cells and dynamic tip cell selection. For this we study a cell-based computational model of angiogenesis to which with add predefined or dynamically selected tip cells. Furthermore, we develop a more elaborate tip cell selection model that allows us to link expression levels of for example Dll4 and Notch image adapted from Thurston and Kitajewski, Brit. J. Cancer, 2008 Tip cell behavior To model sprouting and subsequent network formation we used a cell based angiogenesis model (Merks, PLoS Comput. Biol. 2008). In this model cells form vascular networks due to contact inhibited chemotaxis towards an autocrine source. We have added tip cells to this model (yellow), all remaining cells are stalk cells (red). Tip cells differ from stalk cells by their increased matrix adhesion. This could be related to the abundance of filopodia observed in tip cells. The images below show that this property suffices for the migration of tip cells towards the sprout endings. These tip cells were assigned at the initiation of the model; they are static. time = 400 time = 800 time = 1200 Movie The proportion of tip and stalk cells determines the morphology of the formed pattern. A small amount of tip cells results in the most highly branched structures. When the amount of tip cells increases past the optimum, the patterns become less branched as they do without tip cells. The proportion of tip and stalk cells also determines the dynamics of branching. High amounts of tip cells destabilize the network, which delays network formation. 0.32 0.34 0.36 0.38 0.4 0.42 0.44 0 0.2 0.4 0.6 0.8 1 compactness tip cell fraction 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 1000 2000 3000 4000 time 100% tip cells 90% tip cells 50% tip cells 20% tip cells 0% tip cells Predefined tip cells move towards the tip of the sprouts and do increase branching. Yet, these static tip cells cannot start new branches. Therefore, we implemented a discrete tip cell selection model, based on Dll4-Notch lateral inhibition. Cells with high levels of Dll4 become tip cells, while cells with low levels of Dll4 become stalk cells. Below, some snapshots of a simulation with this model is shown. Clearly, dynamic tip cell selection helps the formation of networks. time = 500 time = 1000 time = 2000 Movie Tip cell selection Tip cells are selected dynamically during angiogenesis. This process is regulated by VEGF and Dll4-Notch signaling. VEGF induces high levels of Dll4, which is typical for tip cells. Dll4 activates Notch in neighboring cells which, via Notch intra-cellular domain (NICD), inhibits both the VEGF receptor VEGFR-2 and Dll4. Dll Notch NICD Dll4 VEGFR-2 VEGFR-2 VEGF Considering both VEGF signaling and Dll4-Notch signaling enables tip cells to be induced by hypoxic tissue that secretes VEGF. That is, VEGF induces a tip cell and Dll4-Notch signaling prevents neighboring cells from becoming tip cells. An explicit representation of NICD and VEGFR-2 enables us to link cell properties directly to cell behavior such as adhesion, motility and chemotaxis. This replaces the discrete tip cell fate (as discussed in the left column) with a transient phenotype. We have implemented the tip cell selection network with a system of ordinary differential equations (ODEs), explicitly representing the levels of Dll4, NICD and VEGFR-2. We tested this model on a row of static cells to validate if the expected expression patterns could be reproduced. NICD Dll4 VEGFR 100% 0% Horizontal VEGF gradient Vertical VEGF gradient In a horizontal VEGF gradient, the first cell of a sprout has the highest Dll4 and VEGFR-2 levels, as expected in a tip cell. The cells after the tip alternate between more stalk and tip cell phenotypes. In a dynamic sprout, we expect that the tip cell-like cells further in the sprout are able to form new branches. When we rotate the field to a vertical VEGF gradient, tip and stalk cell phenotypes alternate. Note that the differences diminish towards the middle of the sprout. This is because these cells are less contact inhibited due to the absence of a second neighbor. In the future, we will join this tip cell selection model with a cell based angiogenesis model, where the levels of VEGFR-2 and Dll4 are directly linked to cell properties. This will enable us to study the role of tip cells in sprouting and subsequent network formation. This work was (co)financed by the Netherlands Consortium for Systems Biology (NCSB) which is part of the Netherlands Genomics Initiative/Netherlands Organisation for Scientific Research.

Tip cells in angiogenesis: the role of selection and behaviorTip cells in angiogenesis: the role of selection and behavior Margriet Palm1;3;4, Erik van Dijk1;2;3, Anton Feenstra2;3

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Page 1: Tip cells in angiogenesis: the role of selection and behaviorTip cells in angiogenesis: the role of selection and behavior Margriet Palm1;3;4, Erik van Dijk1;2;3, Anton Feenstra2;3

Tip cells in angiogenesis: the role of selection and behaviorMargriet Palm1,3,4, Erik van Dijk1,2,3, Anton Feenstra2,3 and Roeland Merks1,3,4 1CWI & 2VU & 3NISB & 4NCSB

Contact:

[email protected]

[email protected]

Introduction

Sprouting angiogenesis is the formation of new blood vessels by splitting of a newvessel from an existing one. This process plays a vital role in pathological and phys-iological processes, including tumor growth, wound healing, and age-related maculardegeneration. New sprouts are formed when a tip cell grows out of the vessel, fol-lowed by stalk cells. The tip cell is highly motile and extends a multitude of filopodiaallowing the tip cell to explore its environment and sense chemoattractants secretedby the hypoxic tissue such as vascular endothelial growth factor (VEGF). Tip cell se-lection is regulated by Dll4-Notch lateral inhibition: a tip cell inhibits tip cell fate ofits neighbors. This regulation is augmented by VEGF which can induce tip cell fate.

We aim to understand the role of tip cells and dynamic tip cell selection. For this westudy a cell-based computational model of angiogenesis to which with add predefinedor dynamically selected tip cells. Furthermore, we develop a more elaborate tip cellselection model that allows us to link expression levels of for example Dll4 and Notch image adapted from Thurston and Kitajewski, Brit. J. Cancer, 2008

Tip cell behavior

To model sprouting and subsequent network formation we used a cell basedangiogenesis model (Merks, PLoS Comput. Biol. 2008). In this modelcells form vascular networks due to contact inhibited chemotaxis towardsan autocrine source. We have added tip cells to this model (yellow), allremaining cells are stalk cells (red). Tip cells differ from stalk cells bytheir increased matrix adhesion. This could be related to the abundance offilopodia observed in tip cells. The images below show that this propertysuffices for the migration of tip cells towards the sprout endings. These tipcells were assigned at the initiation of the model; they are static.

time = 400 time = 800 time = 1200

Movie

The proportion of tip and stalk cells determines the morphology of the formedpattern. A small amount of tip cells results in the most highly branchedstructures. When the amount of tip cells increases past the optimum, thepatterns become less branched as they do without tip cells. The proportionof tip and stalk cells also determines the dynamics of branching. Highamounts of tip cells destabilize the network, which delays network formation.

0.32

0.34

0.36

0.38

0.4

0.42

0.44

0 0.2 0.4 0.6 0.8 1

com

pact

ness

tip cell fraction

0.20.30.40.50.60.70.80.9

1

0 1000 2000 3000 4000

time

100% tip cells90% tip cells50% tip cells20% tip cells0% tip cells

Predefined tip cells move towards the tip of the sprouts and do increasebranching. Yet, these static tip cells cannot start new branches. Therefore,we implemented a discrete tip cell selection model, based on Dll4-Notchlateral inhibition. Cells with high levels of Dll4 become tip cells, while cellswith low levels of Dll4 become stalk cells. Below, some snapshots of asimulation with this model is shown. Clearly, dynamic tip cell selection helpsthe formation of networks.

time = 500 time = 1000 time = 2000

Movie

Tip cell selection

Tip cells are selected dynamically during angiogenesis. This process isregulated by VEGF and Dll4-Notch signaling. VEGF induces high levelsof Dll4, which is typical for tip cells. Dll4 activates Notch in neighboringcells which, via Notch intra-cellular domain (NICD), inhibits both the VEGFreceptor VEGFR-2 and Dll4.

Dll Notch NICD

Dll4

VEGFR-2

VEGFR-2

VEGF

Considering both VEGF signaling and Dll4-Notch signaling enables tip cellsto be induced by hypoxic tissue that secretes VEGF. That is, VEGF inducesa tip cell and Dll4-Notch signaling prevents neighboring cells from becomingtip cells. An explicit representation of NICD and VEGFR-2 enables us tolink cell properties directly to cell behavior such as adhesion, motility andchemotaxis. This replaces the discrete tip cell fate (as discussed in the leftcolumn) with a transient phenotype. We have implemented the tip cellselection network with a system of ordinary differential equations (ODEs),explicitly representing the levels of Dll4, NICD and VEGFR-2. We tested thismodel on a row of static cells to validate if the expected expression patternscould be reproduced.

NICD

Dll4

VEGFR

100%

0%

Horizontal VEGF gradient Vertical VEGF gradient

In a horizontal VEGF gradient, the first cell of a sprout has the highestDll4 and VEGFR-2 levels, as expected in a tip cell. The cells after the tipalternate between more stalk and tip cell phenotypes. In a dynamic sprout,we expect that the tip cell-like cells further in the sprout are able to formnew branches. When we rotate the field to a vertical VEGF gradient,tip and stalk cell phenotypes alternate. Note that the differences diminishtowards the middle of the sprout. This is because these cells are less contactinhibited due to the absence of a second neighbor.

In the future, we will join this tip cell selection model with acell based angiogenesis model, where the levels of VEGFR-2 andDll4 are directly linked to cell properties. This will enable us tostudy the role of tip cells in sprouting and subsequent networkformation.

This work was (co)financed by the Netherlands Consortium for Systems Biology (NCSB) which is part of the Netherlands Genomics Initiative/Netherlands Organisation for Scientific Research.