The American Association for Cancer Research (AACR), the largest cancer research organization in the country and based in Philadelphia, will bestow its 2023 Award for Lifetime Achievement in Cancer Research to Carl June, Richard W. Vague Professor in Immunotherapy in the Department of Pathology and Laboratory Medicine at Penn Medicine. June is also Director of the Center for Cellular Immunotherapies, Director of the Parker Institute for Cancer Immunotherapy, and member of the Penn Bioengineering Graduate Group. He is recognized for his groundbreaking work in developing the first gene-editing cell therapy for cancer and for his pioneering work with CAR T cell therapy.
Gregory Bowman, the Louis Heyman University Professor, has joint appointments in the Department of Biochemistry and Biophysics in the Perelman School of Medicine and the Department of Bioengineering in the School of Engineering and Applied Science. (Image: Courtesy of School of Engineering and Applied Sciences)
His research aims to combat global health threats such as COVID-19 and Alzheimer’s disease by better understanding how proteins function and malfunction, especially through new computational and experimental methods that map protein structures. This understanding of protein dynamics can lead to effective new treatments for even the most seemingly resistant diseases.
“Delivering the right treatment to the right person at the right time is vital to sustaining—and saving—lives,” Magill said. “Greg Bowman’s novel work holds enormous promise and potential to advance new forms of personalized medicine, an area of considerable strength for Penn. A gifted researcher and consummate collaborator, we are delighted to count him among our distinguished PIK University Professors.”
Bowman came to Penn from the Washington University School of Medicine’s Department of Biochemistry and Molecular Biophysics, where he served on the faculty since 2014. He previously completed a three-year postdoctoral fellowship at the University of California, Berkeley.
Bowman’s research utilizes high-performance supercomputers for simulations that can better explain how mutations and disease change a protein’s functions. These simulations are enabled in part through the innovative Folding@home project, which Bowman directs. Folding@home empowers anyone with a computer to run simulations alongside a consortium of universities, with more than 200,000 participants worldwide.
His research has been supported by the National Science Foundation, National Institutes of Health, National Institute on Aging, and Packard Foundation, among others, and he has received a CAREER Award from the NSF, Career Award at the Scientific Interface from the Burroughs Wellcome Fund, and Thomas Kuhn Paradigm Shift Award from the American Chemical Society. He received a Ph.D. in biophysics from Stanford University and a B.S. (summa cum laude) in computer science, with a minor in biomedical engineering, from Cornell University.
“Greg Bowman’s highly innovative work,” Winkelstein said, “exemplifies the power of our interdisciplinary mission at Penn. He brings together supercomputers, biophysics, and biochemistry to make a vital impact on public health. This brilliant fusion of methods—in the service of improving people’s lives around the world—will be a tremendous model for the research of our faculty, students, and postdocs in the years ahead.”
The Penn Integrates Knowledge program is a University-wide initiative to recruit exceptional faculty members whose research and teaching exemplify the integration of knowledge across disciplines and who are appointed in at least two schools at Penn.
The Louis Heyman University Professorship is a gift of Stephen J. Heyman, a 1959 graduate of the Wharton School, and his wife, Barbara Heyman, in honor of Stephen Heyman’s uncle. Stephen Heyman is a University Emeritus Trustee and member of the School of Nursing Board of Advisors. He is Managing Partner at Nadel and Gussman LLC in Tulsa, Oklahoma.
nucleus and membrane of pathogen micro organisms in blue background
Up to 50 percent of cancer-signaling proteins once believed to be immune to drug treatments due to a lack of targetable protein regions may actually be treatable, according to a new study from the Perelman School of Medicine at the University of Pennsylvania. The findings, published this month in Nature Communications, suggest there may be new opportunities to treat cancer with new or existing drugs.
Researchers, clinicians, and pharmacologists looking to identify new ways to treat medical conditions—from cancer to autoimmune diseases—often focus on protein pockets, areas within protein structures to which certain proteins or molecules can bind. While some pockets are easily identifiable within a protein structure, others are not. Those hidden pockets, referred to as cryptic pockets, can provide new opportunities for drugs to bind to. The more pockets scientists and clinicians have to target with drugs, the more opportunities they have to control disease.
The research team identified new pockets using a Penn-designed neural network, called PocketMiner, which is artificial intelligence that predicts where cryptic pockets are likely to form from a single protein structure and learns from itself. Using PocketMiner—which was trained on simulations run on the world’s largest super computer—researchers simulated single protein structures and successfully predicted the locations of cryptic pockets in 35 cancer-related protein structures in thousands of areas of the body. These once-hidden targets, now identified, open up new approaches for potentially treating existing cancer.
What’s more, while successfully predicting the cryptic pockets, the method scientists used in this study was much faster than previous simulation or machine-learning methods. The network allows researchers to nearly instantaneously decide if a protein is likely to have cryptic pockets before investing in more expensive simulations or experiments to pursue a predicted pocket further.
“More than half of human proteins are considered undruggable due to an apparent lack of binding proteins in the snapshots we have,” said Gregory R. Bowman, PhD, a professor of Biochemistry and Biophysics and Bioengineering at Penn and the lead author of the study. “This PocketMiner research and other research like it not only predict druggable pockets in critical protein structures related to cancer but suggest most human proteins likely have druggable pockets, too. It’s a finding that offers hope to those with currently untreatable diseases.”
Penn Bioengineering juniors work on their ECG devices in BE 3100, Bioengineering Modeling, Analysis and Design Laboratory II (aka BE MAD)
The George H. Stephenson Foundation Educational Laboratory & Bio-MakerSpace (aka the Penn BE Labs) played host last week to Sarah Huffman, a local journalist writing for Technical.ly Philly. During her visit to the lab, she chatted with third year undergraduates working on their ECG devices for monitoring breathing and heart rates, and senior design students applying all they’ve learned in their previous three years to their graduation capstone projects. She also got a chance to discuss the classes and learn about the lab’s vision to be a bio-makerspace with Sevile Mannickarottu, Director of Educational Labs for BE, and with David Issadore, Associate Professor in Bioengineering and in Electrical and Systems Engineering and professor of the third year spring lab course:
Journalist Sarah Huffman interviews BE 3100 professor David Issadore.
“’The students all come here and they hang out and they build stuff,’ said David Issadore, associate professor of bioengineering and electrical and systems engineering. ‘This junior-level course is kind of an entry point for their senior design. So next year, all these students are going to take on new projects, and then they all kind of hang around here and they build incredible stuff.’”
The profile of the BE Labs is part of Technical.ly’s 2023 Universities Month, a series focusing on the latest trends and tech in higher education.
A new Penn Medicine preclinical study demonstrates a simultaneous ‘knockout’ of two inflammatory regulators boosts T cell expansion to attack solid tumors.
by Meagan Raeke
Image: Courtesy of Penn Medicine News
A new approach that delivers a “one-two punch” to help T cells attack solid tumors is the focus of a preclinical study by researchers from the Perelman School of Medicine. The findings, published in the Proceedings of the National Academy of Sciences, show that targeting two regulators that control gene functions related to inflammation led to at least 10 times greater T cell expansion in models, resulting in increased anti-tumor immune activity and durability.
“We want to unlock CAR T cell therapy for patients with solid tumors, which include the most commonly diagnosed cancer types,” says June, the new study’s senior author. “Our study shows that immune inflammatory regulator targeting is worth additional investigation to enhance T cell potency.”
One of the challenges for CAR T cell therapy in solid tumors is a phenomenon known as T cell exhaustion, where the persistent antigen exposure from the solid mass of tumor cells wears out the T cells to the point that they aren’t able to mount an anti-tumor response. Engineering already exhausted T cells from patients for CAR T cell therapy results in a less effective product because the T cells don’t multiply enough or remember their task as well.
Previous observational studies hinted at the inflammatory regulator Regnase-1 as a potential target to indirectly overcome the effects of T cell exhaustion because it can cause hyperinflammation when disrupted in T cells—reviving them to produce an anti-tumor response. The research team, including lead author David Mai, a bioengineering graduate student in the School of Engineering and Applied Science, and co-corresponding author Neil Sheppard, head of the CCI T Cell Engineering Lab, hypothesized that targeting the related, but independent Roquin-1 regulator at the same time could boost responses further.
“Each of these two regulatory genes has been implicated in restricting T cell inflammatory responses, but we found that disrupting them together produced much greater anti-cancer effects than disrupting them individually,” Mai says. “By building on previous research, we are starting to get closer to strategies that seem to be promising in the solid tumor context.”
Dahin Song, a third year undergraduate student in Bioengineering, penned a guest blog post for Penn Career Services as part of their ongoing series of posts by recipients of the 2022 Career Services Summer Funding Grant. In this post, Song talks about her opportunity to conduct research in the SMART Lab of Daeyeon Lee, Professor and Evan C. Thompson Term Chair for Excellence in Teaching in the Department of Chemical and Biomolecular Engineering and member of the Penn Bioengineering Graduate Group. During her summer research, Song worked on increasing the stability of the monolayer in microbubbles, gas particles which have been put to therapeutic use. She writes:
“My project was on increasing the stability of the monolayer using cholesterol; theoretically, this would decrease the permeability while maintaining the fluidity of the monolayer. Being given my own project at the get-go was initially intimidating; initial learning curve was overwhelming – along with new wet lab techniques and protocols, I learned a whole new topic well enough to ask meaningful questions. But in retrospect, throwing myself headlong into a project was the best method to immerse me in the research environment, especially as a first-time researcher. I learned how to read papers efficiently, troubleshoot research problems, navigate in a laboratory environment, and be comfortable with working independently but more importantly, with others.”
Savan Patel, a fourth year Penn Bioengineering student, is one of 42 finalists competing for a 2023 Hertz Fellowship in applied science, mathematics, and engineering, one of the most prestigious Ph.D. fellowships in the United States. Chosen annually, the Hertz Fellowship is awarded to the nation’s most promising graduate students in science and technology.
“Since 1963, the Hertz Foundation has granted fellowships empowering the nation’s most promising young minds in science and technology. Hertz Fellows receive five years of funding valued at up to $250,000, which offers flexibility from the traditional constraints of graduate training and the independence needed to pursue research that best advances our security and economic vitality […]
Over the foundation’s 60-year history of awarding fellowships, more than 1200 Hertz Fellows have established a remarkable track record of accomplishments. Their ranks include two Nobel laureates; recipients of 10 Breakthrough Prizes and three MacArthur Foundation “genius awards”; and winners of the Turing Award, the Fields Medal, the National Medal of Technology, and the National Medal of Science. In addition, 50 are members of the National Academies of Sciences, Engineering and Medicine, and 34 are fellows of the American Association for the Advancement of Science. Hertz Fellows hold over 3,000 patents, have founded more than 375 companies and have created hundreds of thousands of science and technology jobs.”
Patel is studying Bioengineering and Finance in the Jerome Fisher Program in Management and Technology (M&T), an interdisciplinary dual degree program coordinated by Penn Engineering and the Wharton School of Business. He is currently a member of the lab of Michael J. Mitchell, J. Peter and Geri Skirkanich Assistant Professor of Innovation in Bioengineering. Patel’s research interests lie at the interface of drug delivery and immunoengineering. His current project involves the use of modified cholesterol molecules to induce shifts in the biodistribution of ionizable lipid nanoparticles (LNPs). Following graduation, he intends to pursue a Ph.D. in bioengineering in which hopes to develop translatable immunotherapies and drug delivery platforms.
If chosen, the Hertz Fellowship will fund Patel’s graduate studies. Selected from over 750 applicants, Patel is one of fifteen undergraduates and one of two bioengineering students to make the final round of interviews. After a culminating round of interviews, the 2023 Class of Hertz Fellows will be announced in May.
Learn more about the Hertz Fellowship and read the full list of finalists here.
Perelman School of Medicine (PSOM) professors and Penn Bioengineering Graduate Group members Carl June and Avery Posey are leading the charge in T cell therapy and the fight against cancer.
Avery Posey, PhDCarl June, MD
Advances in genome editing through processes such as CRISPR, and the ability to rewire cells through synthetic biology, have led to increasingly elaborate approaches for modifying and supercharging T cells for therapy. Avery Posey, Assistant Professor of Pharmacology, and Carl June, the Richard W. Vague Professor in Immunotherapy, explain how new techniques are providing tools to counter some of the limitations of current CAR T cell therapies in a recent Nature feature.
The pair were also part of a team of researchers from PSOM, the Children’s Hospital of Philadelphia (CHOP), and the Corporal Michael J. Crescenz VA Medical Center to receive an inaugural $8 million Therapy ACceleration To Intercept CAncer Lethality (TACTICAL) Award from the Prostate Cancer Foundation. Their project will develop new clinic-ready CAR T cell therapies for Metastatic Castrate-Resistant Prostate Cancer (mCRPC).
Sevile Mannickarottu, Director of Educational Labs, Penn Bioengineering
Sevile Mannickarottu, Director of Educational Laboratories in the Department of Bioengineering (BE), was interviewed in a recent episode of Shifting Schools, a weekly podcast that hosts educators and thought-leaders in conversations about the latest trends in education and EdTech. Mannickarottu, a Penn Engineering alumnus, runs the George H. Stephenson Foundation Educational Laboratory & Bio-MakerSpace, also known as the Penn BE Labs. In addition to being the primary teaching lab for Penn Bioengineering, the Penn BE Labs has grown into “the world’s only interdisciplinary Bio-MakerSpace.”
MakerSpaces–collaborative, educational work environments–have recently grown in popularity. Penn BE Labs distinguishes itself as a Bio-MakerSpace, embracing the interdisciplinary character of bioengineering by offering itself freely as a space for both academic and personal projects. It is stocked with tools ranging from 3D printers, laser cutters, and electrical equipment, including supplies to support work in molecular biology, physiology, chemistry, and microfluidics.
In the episode, hosts Tricia Friedman and Jeff Utecht talk with Mannickarottu about the organic process by which the Penn BE Labs evolved from a standard teaching space for undergraduate engineering laboratory courses into a student-driven hub of creativity and entrepreneurial spirit that is open to the entire Penn community regardless of discipline or major.
Mannickarottu and his team have found that “creativity needs to let go of control – that’s when fun things happen.” As the lab staff and faculty started to allow more creative freedom in the undergraduate bioengineers’ education, the requests for more supplies started pouring in and the lab’s activities and resources grew. “Honestly, we’re driven almost entirely by student requests and student demands,” says Mannickarottu. So when a student requested a sewing machine for a project? They went out and bought one, adding to their ever-growing stockpile of tools. Over time, more and more diverse projects have emerged from the BE Labs, many of them going on to win awards and grow beyond Penn’s campus as independent startups.
In case this sounds out of reach for smaller institutions, Mannickarottu shares words of encouragement. “The biggest thing,” he says, “is to allow for creativity on the part of the students.” A lab or program can start their own MakerSpace surprisingly inexpensively and build their inventory over time. His number one recommendation for those looking to replicate the success of Penn BE Labs is to allow students freedom to innovate, and administrators will be drawn to invest in the MakerSpace to allow for even more opportunities for them to create and thrive.
To help others get started, the Penn BE Labs staff have put a wide range of resources online, including extensive video and photo archives, FAQ’s, tutorials, information about student projects and startups, and equipment inventories. A 2019 post written for the BE Blog by BE alumna Sophie Burkholder (BSE ‘20 & MSE ‘21) gives the reader tips on “how to build your own MakerSpace for under $1500.”
Though it may currently be “the world’s only interdisciplinary Bio-MakerSpace,” the greatest legacy of the Penn BE Labs would be to be known as the first of many.
Listen to “The legacy of your lab” in Shifting Schools to learn more about the Penn BE Labs and for tips on starting your own MakerSpace.
Penn Engineering’s newly established ASSET Center aims to make AI-enabled systems more “safe, explainable and trustworthy” by studying the fundamentals of the artificial neural networks that organize and interpret data to solve problems.
ASSET’s first funding collaboration is with Penn’s Perelman School of Medicine (PSOM) and the Penn Institute for Biomedical Informatics (IBI). Together, they have launched a series of seed grants that will fund research at the intersection of AI and healthcare.
Teams featuring faculty members from Penn Engineering, Penn Medicine and the Wharton School applied for these grants, to be funded annually at $100,000. A committee consisting of faculty from both Penn Engineering and PSOM evaluated 18 applications and judged the proposals based on clinical relevance, AI foundations and potential for impact.
Artificial intelligence and machine learning promise to revolutionize nearly every field, sifting through massive amounts of data to find insights that humans would miss, making faster and more accurate decisions and predictions as a result.
Applying those insights to healthcare could yield life-saving benefits. For example, AI-enabled systems could analyze medical imaging for hard-to-spot tumors, collate multiple streams of disparate patient information for faster diagnoses or more accurately predict the course of disease.
Given the stakes, however, understanding exactly how these technologies arrive at their conclusions is critical. Doctors, nurses and other healthcare providers won’t use such technologies if they don’t trust that their internal logic is sound.
“We are developing techniques that will allow AI-based decision systems to provide both quantifiable guarantees and explanations of their predictions,” says Rajeev Alur, Zisman Family Professor in Computer and Information Science and Director of the ASSET Center. “Transparency and accuracy are key.”
“Development of explainable and trustworthy AI is critical for adoption in the practice of medicine,” adds Marylyn Ritchie, Professor of Genetics and Director of the Penn Institute for Biomedical Informatics. “We are thrilled about this partnership between ASSET and IBI to fund these innovative and exciting projects.”
Seven projects were selected in the inaugural class, including projects from Dani S. Bassett, J. Peter Skirkanich Professor in the Departments of Bioengineering, Electrical and Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, and several members of the Penn Bioengineering Graduate Group: Despina Kontos, Matthew J. Wilson Professor of Research Radiology II, Department of Radiology, Penn Medicine and Lyle Ungar, Professor, Department of Computer and Information Science, Penn Engineering; Spyridon Bakas, Assistant Professor, Departments of Pathology and Laboratory Medicine and Radiology, Penn Medicine; and Walter R. Witschey, Associate Professor, Department of Radiology, Penn Medicine.
Optimizing clinical monitoring for delivery room resuscitation using novel interpretable AI
Elizabeth Foglia, Associate Professor, Department of Pediatrics, Penn Medicine and the Children’s Hospital of Philadelphia
Dani S. Bassett, J. Peter Skirkanich Professor, Departments of Bioengineering and Electrical and Systems Engineering, Penn Engineering
This project will apply a novel interpretable machine learning approach, known as the Distributed Information Bottleneck, to solve pressing problems in identifying and displaying critical information during time-sensitive clinical encounters. This project will develop a framework for the optimal integration of information from multiple physiologic measures that are continuously monitored during delivery room resuscitation. The team’s immediate goal is to detect and display key target respiratory parameters during delivery room resuscitation to prevent acute and chronic lung injury for preterm infants. Because this approach is generalizable to any setting in which complex relations between information-rich variables are predictive of health outcomes, the project will lay the groundwork for future applications to other clinical scenarios.
Mannickarottu and his team have found that “creativity needs to let go of control – that’s when fun things happen.” As the lab staff and faculty started to allow more creative freedom in the undergraduate bioengineers’ education, the requests for more supplies started pouring in and the lab’s activities and resources grew. “Honestly, we’re driven almost entirely by student requests and student demands,” says Mannickarottu. So when a student requested a sewing machine for a project? They went out and bought one, adding to their ever-growing stockpile of tools. Over time, more and more diverse projects have emerged from the BE Labs, many of them going on to win awards and grow beyond Penn’s campus as independent 
To help others get started, the Penn BE Labs staff have put a wide range of resources 