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2022 Annual Report

This is the 2022 Annual Report for Van Andel Institute.

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Department of Epigenetics<br />

Scientists in VAI’s Department of Epigenetics<br />

seek to understand how epigenetic changes may<br />

either protect us from or predispose us to complex<br />

diseases such as cancer, Parkinson’s and metabolic<br />

disorders. They do so by:<br />

Building on the basics: From uncovering the<br />

underpinnings of disease to understanding the<br />

mechanisms that propel the spread of diseases like<br />

cancer, VAI scientists are dedicated to revealing the<br />

molecular machinery that underlies a variety of<br />

complex disorders.<br />

Translating discovery: Institute scientists are<br />

committed to putting laboratory discoveries to work in<br />

the real world by helping translate them into actionable<br />

new treatments that can better combat disease and<br />

save lives.<br />

Moving new therapies into the clinic: VAI works<br />

closely with leading medical organizations in the U.S.<br />

and abroad to take new therapies into the doctor’s office<br />

through clinical trials, which are vital for ensuring that<br />

new treatments are safe and effective. The Institute<br />

is home to the Van Andel Institute–Stand Up To<br />

Cancer (VAI–SU2C) Epigenetics Dream Team, a multiinstitutional,<br />

collaborative effort that brings together<br />

several of the world’s most respected research and<br />

clinical organizations to translate scientific discoveries<br />

into new standards of patient care. The goal is simple —<br />

get new and more effective cancer therapies to<br />

patients faster.<br />

For more information on our clinical collaborations,<br />

please see page 16.<br />

<strong>2022</strong> HIGHLIGHTS<br />

New cellular ‘clock’ offers fresh way to measure<br />

cellular age<br />

Cellular aging is a major risk factor for many chronic<br />

diseases, but accurately measuring it is difficult. Now, VAI<br />

scientists have developed a new method for pinpointing<br />

cellular age that evaluates the number of times a<br />

cell has divided rather than relying on chronological<br />

time. The more cells replicate, the more likely they<br />

will accumulate errors over time that contribute to<br />

diseases such as cancer. The findings, published in<br />

Nature Communications, are a vital step toward realworld<br />

applications for assessing disease risk and guiding<br />

treatment decisions in the doctor’s office. The research<br />

was led by Dr. Jamie Endicott, a recent graduate of<br />

Van Andel Institute Granduate School who worked in the<br />

lab of Dr. Peter W. Laird. Laird and Dr. Hui Shen are the<br />

corresponding authors of the study. 1<br />

VAI, The Scientist launch podcast mini-series on<br />

health and the environment<br />

How do our environment and diet set the stage for<br />

future health? That’s one of the big questions VAI and<br />

The Scientist tackled in the podcast mini-series Exposed:<br />

Environmental Echoes in Health, part of The Scientist’s<br />

Lab Talk podcast series.<br />

The three-episode series featured VAI scientists Dr. Nick<br />

Burton, Dr. Yvonne Fondufe-Mittendorf and Dr. Heidi<br />

Lempradl, who explored how the factors to which we are<br />

exposed in our environment can impact our health and<br />

the health of future generations. All episodes of Exposed:<br />

Environmental Echoes in Health are available at The<br />

Scientist and on all major podcast platforms. The podcast<br />

accompanies a Q&A with VAI’s Dr. J. Andrew Pospisilik,<br />

who explores the long-lasting impacts of environmental<br />

exposures.<br />

Data Insights grant fuels computing projects<br />

at VAI, GVSU<br />

A collaboration between VAI’s Dr. Tim Triche, Jr. and<br />

Grand Valley State University’s Dr. Zach DeBruine to<br />

make data more accessible to researchers worldwide<br />

received support through a $200,000 Data Insights<br />

grant from the Chan Zuckerberg Initiative.<br />

The project addresses a central problem in modern,<br />

data-intensive biomedical research: how to efficiently<br />

store and analyze the massive data output from today’s<br />

technologies in a way that allows researchers and<br />

citizen-scientists to unlock insights within.<br />

For example, scientists can now catalog the differences<br />

between individual cells in extreme detail, illuminating<br />

variations that may contribute to cancer, Parkinson’s<br />

and many other diseases. But these answers are buried<br />

in vast swathes of data that must be analyzed and<br />

stored, a task that can be challenging even for highpowered<br />

computers.<br />

DeBruine is a former postdoctoral fellow in Triche’s<br />

lab who earned his doctorate from Van Andel Institute<br />

Graduate School. As part of his Ph.D. dissertation,<br />

DeBruine developed an elegant solution that repackages<br />

data files that are too big to run on a single computer<br />

into a compressed form that requires 1/10th the<br />

computing space without losing data or performance.<br />

8

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