James McGrath

William R. Kenan, Jr. Professor of Biomedical Engineering University of Rochester

  • Rochester NY

James McGrath and his team focus on the basic science of ultrathin membranes, including studies of transport and mechanics.

Contact

University of Rochester

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Areas of Expertise

Tissue on Chip
Cell Motility
Nanomembranes
Quantitative Light Microscopy

Social

Biography

Professor McGrath graduated from Arizona State in 1991 with a BS degree in mechanical engineering. He earned a master's degree in mechanical engineering from MIT in 1994 and a PhD in biological engineering from Harvard/MIT's Division of Health Sciences and Technology in 1998. He then trained as a Distinguished Post-doctoral Fellow in the Department of Biomedical Engineering at the Johns Hopkins University. Since 2001, Professor McGrath has been on the Biomedical Engineering faculty at the University of Rochester and served the department for over 10 years as the first director of the BME graduate program.

While historically, Professor McGrath's research focused on the phenomena of cell migration, since 2007 he has been leading the Nanomembrane Research Group - a highly interdisciplinary, multi-institutional team that is developing and applying ultrathin silicon ‘nanomembrane' technologies. Professor McGrath is also a co-founder and past president of SiMPore Inc. a company founded to commercially manufacture the nanomembranes. In 2019, he was also a recipient of the Edmund A. Hajim Outstanding Faculty Award, and in 2015 he was elected as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE).

Education

Division of Health Sciences and Technology, Harvard University/MIT

PhD

Biological Engineering

1998

Massachusetts Institute of Technology

MS

Mechanical Engineering

1994

Arizona State University

BS

Mechanical Engineering

1991

Selected Media Appearances

Tissue-on-chip technology holds promise to reduce animal testing

Academic Minute WAMC  radio

2025-02-20

On University of Rochester Week: Can computers take over and put an end to animal testing?

James McGrath, William R. Kenan, Jr. professor of biomedical engineering, examines this question

Since 2001, James McGrath has been on the Biomedical Engineering faculty at the University of Rochester and served the department for over 10 years as the first director of the BME graduate program. While historically his research focused on the phenomena of cell migration, since 2007 he has been leading the Nanomembrane Research Group – a highly interdisciplinary, multi-institutional team that is developing and applying ultrathin silicon ‘nanomembrane’ technologies.

Tissue-on-chip technology holds promise to reduce animal testing
In 2022, the FDA Modernization Act 2.0 removed a provision that required animal testing to be used in drug development and opened the door for computer-based models as an alternative. Then the FDA Modernization Act 3.0 was introduced earlier this year, with the goal further reducing animal testing and increasing efficiency of drug trials.

My current research is focused on developing tissue-on-chip or organ-on-a-chip technology, which is one of the promising alternatives to animal testing currently being studied. In simple terms, human cells are arranged in a microfluidic device referred to as a ‘chip.’ The chip mimics healthy or diseased human tissue and provides an accurate representation of how a specific drug or toxin interacts with that tissue.

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People are protesting a Wayne County beagle breeder. They want to end animal testing

WXXI  radio

2024-08-14

That technology, known as tissue-on-chip or organ-on-a-chip, is one of the more promising alternatives to animal testing currently being studied. That tech, in simplest terms, takes a small sample of human organ cells and places it on a transparent computer chip. The chip is meant to serve as a replica of the organ’s system and give an accurate representation of how a specific drug or toxin interacts with that organ.

James McGrath is a professor of biomedical research at the University of Rochester and one of the scientists leading the development of tissue-on-chip technology. He said the science is promising but is still limited.

“The downside is it models a small part of an organism that’s very complicated and very big, with a lot of interacting systems,” McGrath said. “So that’s what animals provide that these chips, I think, will continue to struggle to provide for a long, long time — is how do these different tissues interact, how does this work at a system level?”

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Selected Articles

High levels of endothelial ICAM-1 prohibit abrogation of CD4+ T-cell arrest on the inflamed BBB by extended interval dosing of natalizumab

Journal of Neuroinflammation

James L. McGrath, Sasha Soldati, Alexander Bär, Mykhailo Vladymyrov, Dale Glavin, Fabien Gosselet, Hideaki Nishihara, Susan Goelz, and Britta Engelhardt

2023-05-23

The humanized anti-α4 integrin blocking antibody natalizumab (NTZ) is an effective treatment for relapsing–remitting multiple sclerosis (RRMS) that is associated with the risk of progressive multifocal leukoencephalopathy (PML). While extended interval dosing (EID) of NTZ reduces the risk for PML, the minimal dose of NTZ required to maintain its therapeutic efficacy remains unknown.

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Modelling a Human Blood-Brain Barrier Co-Culture Using an Ultrathin Silicon Nitride Membrane-Based Microfluidic Device

International Journal of Molecular Sciences

James L. McGrath, Diana Hudecz, Molly C McCloskey, Sandra Vergo, Søren Christensen, and Morten S Nielsen

2023-03-15

Understanding the vesicular trafficking of receptors and receptor ligands in the brain capillary endothelium is essential for the development of the next generations of biologics targeting neurodegenerative diseases. Such complex biological questions are often approached by in vitro models in combination with various techniques. Here, we present the development of a stem cell-based human in vitro blood-brain barrier model composed of induced brain microvascular endothelial cells (iBMECs) on the modular µSiM (a microdevice featuring a silicon nitride membrane) platform.

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A computer vision approach for analyzing label free leukocyte trafficking dynamics on a microvascular mimetic

Frontiers in Immunology

James L. McGrath, S. Danial Ahmad, Mujdat Cetin, and Richard E. Waugh

2023-03-24

High-content imaging techniques in conjunction with in vitro microphysiological systems (MPS) allow for novel explorations of physiological phenomena with a high degree of translational relevance due to the usage of human cell lines. MPS featuring ultrathin and nanoporous silicon nitride membranes (µSiM) have been utilized in the past to facilitate high magnification phase contrast microscopy recordings of leukocyte trafficking events in a living mimetic of the human vascular microenvironment. Notably, the imaging plane can be set directly at the endothelial interface in a µSiM device, resulting in a high-resolution capture of an endothelial cell (EC) and leukocyte coculture reacting to different stimulatory conditions. The abundance of data generated from recording observations at this interface can be used to elucidate disease mechanisms related to vascular barrier dysfunction, such as sepsis. The appearance of leukocytes in these recordings is dynamic, changing in character, location and time. Consequently, conventional image processing techniques are incapable of extracting the spatiotemporal profiles and bulk statistics of numerous leukocytes responding to a disease state, necessitating labor-intensive manual processing, a significant limitation of this approach. Here we describe a machine learning pipeline that uses a semantic segmentation algorithm and classification script that, in combination, is capable of automated and label-free leukocyte trafficking analysis in a coculture mimetic.

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