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Dive into the research topics where Jordan Ari Whisler is active.

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Featured researches published by Jordan Ari Whisler.


Integrative Biology | 2013

Mechanisms of tumor cell extravasation in an in vitro microvascular network platform

Michelle B. Chen; Jordan Ari Whisler; Jessie S. Jeon; Roger D. Kamm

A deeper understanding of the mechanisms of tumor cell extravasation is essential in creating therapies that target this crucial step in cancer metastasis. Here, we use a microfluidic platform to study tumor cell extravasation from in vitro microvascular networks formed via vasculogenesis. We demonstrate tight endothelial cell-cell junctions, basement membrane deposition and physiological values of vessel permeability. Employing our assay, we demonstrate impaired endothelial barrier function and increased extravasation efficiency with inflammatory cytokine stimulation, as well as positive correlations between the metastatic potentials of MDA-MB-231, HT-1080, MCF-10A and their extravasation capabilities. High-resolution time-lapse microscopy reveals the highly dynamic nature of extravasation events, beginning with thin tumor cell protrusions across the endothelium followed by extrusion of the remainder of the cell body through the formation of small (~1 μm) openings in the endothelial barrier which grows in size (~8 μm) to allow for nuclear transmigration. No disruption to endothelial cell-cell junctions is discernible at 60×, or by changes in local barrier function after completion of transmigration. Tumor transendothelial migration efficiency is significantly higher in trapped cells compared to non-trapped adhered cells, and in cell clusters versus single tumor cells.


Integrative Biology | 2014

Generation of 3D functional microvascular networks with human mesenchymal stem cells in microfluidic systems

Jessie S. Jeon; Simone Bersini; Jordan Ari Whisler; Michelle B. Chen; Gabriele Dubini; Joseph L. Charest; Matteo Moretti; Roger D. Kamm

The generation of functional microvascular networks is critical for the development of advanced in vitro models to replicate pathophysiological conditions. Mural cells provide structural support to blood vessels and secrete biomolecules contributing to vessel stability and functionality. We investigated the role played by two endothelium-related molecules, angiopoietin (Ang-1) and transforming growth factor (TGF-β1), on bone marrow-derived human mesenchymal stem cell (BM-hMSC) phenotypic transition toward a mural cell lineage, both in monoculture and in direct contact with human endothelial cells (ECs), within 3D fibrin gels in microfluidic devices. We demonstrated that the effect of these molecules is dependent on direct heterotypic cell-cell contact. Moreover, we found a significant increase in the amount of α-smooth muscle actin in microvascular networks with added VEGF and TGF-β1 or VEGF and Ang-1 compared to networks with added VEGF alone. However, the addition of TGF-β1 generated a non-interconnected microvasculature, while Ang-1 promoted functional networks, confirmed by microsphere perfusion and permeability measurements. The presence of mural cell-like BM-hMSCs coupled with the addition of Ang-1 increased the number of network branches and reduced mean vessel diameter compared to EC only vasculature. This system has promising applications in the development of advanced in vitro models to study complex biological phenomena involving functional and perfusable microvascular networks.


PLOS ONE | 2012

Engineering of In Vitro 3D Capillary Beds by Self-Directed Angiogenic Sprouting

Juliana Maria Chan; Ioannis K. Zervantonakis; Tharathorn Rimchala; William J. Polacheck; Jordan Ari Whisler; Roger D. Kamm

In recent years, microfluidic systems have been used to study fundamental aspects of angiogenesis through the patterning of single-layered, linear or geometric vascular channels. In vivo, however, capillaries exist in complex, three-dimensional (3D) networks, and angiogenic sprouting occurs with a degree of unpredictability in all x,y,z planes. The ability to generate capillary beds in vitro that can support thick, biological tissues remains a key challenge to the regeneration of vital organs. Here, we report the engineering of 3D capillary beds in an in vitro microfluidic platform that is comprised of a biocompatible collagen I gel supported by a mechanical framework of alginate beads. The engineered vessels have patent lumens, form robust ∼1.5 mm capillary networks across the devices, and support the perfusion of 1 µm fluorescent beads through them. In addition, the alginate beads offer a modular method to encapsulate and co-culture cells that either promote angiogenesis or require perfusion for cell viability in engineered tissue constructs. This laboratory-constructed vascular supply may be clinically significant for the engineering of capillary beds and higher order biological tissues in a scalable and modular manner.


Nature Protocols | 2017

On-chip human microvasculature assay for visualization and quantification of tumor cell extravasation dynamics

Michelle B. Chen; Jordan Ari Whisler; Julia Fröse; Cathy Yu; Yoojin Shin; Roger D. Kamm

Distant metastasis, which results in >90% of cancer-related deaths, is enabled by hematogenous dissemination of tumor cells via the circulation. This requires the completion of a sequence of complex steps including transit, initial arrest, extravasation, survival and proliferation. Increased understanding of the cellular and molecular players enabling each of these steps is key to uncovering new opportunities for therapeutic intervention during early metastatic dissemination. As a protocol extension, this article describes an adaptation to our existing protocol describing a microfluidic platform that offers additional applications. This protocol describes an in vitro model of the human microcirculation with the potential to recapitulate discrete steps of early metastatic seeding, including arrest, transendothelial migration and early micrometastases formation. The microdevice features self-organized human microvascular networks formed over 4–5 d, after which the tumor can be perfused and extravasation events are easily tracked over 72 h via standard confocal microscopy. Contrary to most in vivo and in vitro extravasation assays, robust and rapid scoring of extravascular cells, combined with high-resolution imaging, can be easily achieved because of the confinement of the vascular network to one plane close to the surface of the device. This renders extravascular cells clearly distinct and allows tumor cells of interest to be identified quickly as compared with those in thick tissues. The ability to generate large numbers of devices (∼36) per experiment further allows for highly parametric studies, which are required when testing multiple genetic or pharmacological perturbations. This is coupled with the capability for live tracking of single-cell extravasation events, allowing both tumor and endothelial morphological dynamics to be observed in high detail with a moderate number of data points.


PLOS Computational Biology | 2015

Cell Invasion Dynamics into a Three Dimensional Extracellular Matrix Fibre Network

Mincheol Kim; Jordan Ari Whisler; Yaron R. Silberberg; Roger D. Kamm; H. Harry Asada

The dynamics of filopodia interacting with the surrounding extracellular matrix (ECM) play a key role in various cell-ECM interactions, but their mechanisms of interaction with the ECM in 3D environment remain poorly understood. Based on first principles, here we construct an individual-based, force-based computational model integrating four modules of 1) filopodia penetration dynamics; 2) intracellular mechanics of cellular and nuclear membranes, contractile actin stress fibers, and focal adhesion dynamics; 3) structural mechanics of ECM fiber networks; and 4) reaction-diffusion mass transfers of seven biochemical concentrations in related with chemotaxis, proteolysis, haptotaxis, and degradation in ECM to predict dynamic behaviors of filopodia that penetrate into a 3D ECM fiber network. The tip of each filopodium crawls along ECM fibers, tugs the surrounding fibers, and contracts or retracts depending on the strength of the binding and the ECM stiffness and pore size. This filopodium-ECM interaction is modeled as a stochastic process based on binding kinetics between integrins along the filopodial shaft and the ligands on the surrounding ECM fibers. This filopodia stochastic model is integrated into migratory dynamics of a whole cell in order to predict the cell invasion into 3D ECM in response to chemotaxis, haptotaxis, and durotaxis cues. Predicted average filopodia speed and that of the cell membrane advance agreed with experiments of 3D HUVEC migration at r2 > 0.95 for diverse ECMs with different pore sizes and stiffness.


Tissue Engineering Part C-methods | 2014

Control of perfusable microvascular network morphology using a multiculture microfluidic system.

Jordan Ari Whisler; Michelle B. Chen; Roger D. Kamm


PMC | 2014

Generation of 3D functional microvascular networks with mural cell-differentiated human mesenchymal stem cells in microfluidic vasculogenesis systems

Jessie S. Jeon; Simone Bersini; Michelle B. Chen; Gabriele Dubini; Joseph L. Charest; Matteo Moretti; Jordan Ari Whisler; Roger Dale Kamm


PMC | 2014

Human Vascular Tissue Models Formed from Human Induced Pluripotent Stem Cell Derived Endothelial Cells

David G. Belair; James A. Molenda; Vernella Vickerman; Rachel L. Lewis; Christine A. Daigh; Tyler D. Hansen; David A. Mann; Jim Thomson; Linda G. Griffith; Michael P. Schwartz; William L. Murphy; Jordan Ari Whisler; Roger D. Kamm; Jorge Luis Valdez Macias; Jeremy J. Velazquez


Mary Ann Leibert | 2013

Control of Perfusable Microvascular Network Morphology Using a Multiculture Microfluidic System

Michelle B. Chen; Jordan Ari Whisler; Roger D. Kamm

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Roger D. Kamm

Massachusetts Institute of Technology

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Michelle B. Chen

Massachusetts Institute of Technology

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Jessie S. Jeon

Massachusetts Institute of Technology

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Joseph L. Charest

Charles Stark Draper Laboratory

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Matteo Moretti

Massachusetts Institute of Technology

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Cathy Yu

Massachusetts Institute of Technology

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Christine A. Daigh

University of Wisconsin-Madison

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David G. Belair

University of Wisconsin-Madison

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H. Harry Asada

Massachusetts Institute of Technology

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