A team of Penn Bioengineering Senior Design students was featured as the 3D print of the week by the Penn Biomedical Library’s Biomeditations blog.
The StablEyes team. From left to right, Jake Becker (BE ’23), Ruoming Fan (BE ’23), Ella Atsavapranee (BE ’23), and Savan Patel (M&T ’23).
Fourth-year undergraduate students Ella Atsavapranee, Jake Becker, Ruoming Fan, and Savan Patel created StablEyes, “a stabilization mount that provides fine, motorized control of the handheld OCT to improve ease of use for physicians and machine learning-based software to aid in diagnosis from retinal images.” The team made use of 3D printing services, laboratory space, and expertise across Penn’s campus to create their innovative design, including the Bollinger Digital Fabrication Lab in the Holman Biotech Commons, the Fisher Fine Arts Library, the Children’s Hospital of Philadelphia (CHOP), and the George H. Stephenson Foundation Educational Laboratory & Bio-MakerSpace (aka the Penn BE Labs).
Front, from left to right: Lucy Andersen, Vice Provost for Education Karen Detlefsen, Derek Yang, Ann Ho, and Arianna James. Back, from left to right: Ritesh Isuri, Adiwid (Boom) Devahastin Na Ayudhya, Oualid Merzouga, and Puneeth Guruprasad.
Ten winners of the 2023 Penn Prize for Excellence in Teaching by Graduate Students were announced at a ceremony held April 13 at the Graduate Student Center. The recipients, who represented five of Penn’s 12 schools, were recognized among a pool of 44 Ph.D. candidates and master’s students nominated primarily by undergraduates—a quality unique to and cherished about this Prize.
“It’s a particularly authentic expression of gratitude from undergraduates, and that’s really the pleasure [of presenting these awards],” says Vice Provost for Education Karen Detlefsen, who was present to announce the winners and award them with a certificate. (They also receive a monetary award.) “I’m so proud of our students: Our undergraduates, for taking the time to recognize what it is our graduate students contribute to the student body, and the graduate students who are contributing to the life of the University.
“Students are the lifeblood of the University and without them, we wouldn’t be here.”
The Prize began in the 1999-2000 academic year under former Penn President Judith Rodin. It was spearheaded by then-doctoral-candidate Eric Eisenstein and has been issued every year since. Nominations for the Prize often mention how graduate teaching assistants were able to take a complex subject and make it relatable or craft a course like philosophy or mathematics into an enjoyable—even highly anticipated—experience for students.
“Many nominations show how much students value a TA or a graduate instructor of record who shows that they care for their learning and for them as people, and who makes themself readily available to assist,” says Ian Petrie, director of graduate student programming for the Center for Teaching and Learning, who organizes the selection committee for the Prize. “Typically, however, committee members are also interested in seeing nominations that really point to how a graduate student instructor taught or gave feedback—not just how responsive they were to emails or how many office hours they had.”
He also emphasizes that many winners this year were not just teachers, but mentors—often helping undergraduates or new graduate students navigate not only the course but also Penn as an institution.
Puneeth Guruprasad
One of the winners, Puneeth Guruprasad, hails from Penn Bioengineering. Guruprasad is a fourth-year Ph.D. student in Bioengineering who conducts research in the lab of Marco Ruella, Assistant Professor of Medicine in the Division of Hematology/Oncology in the Perelman School of Medicine. Ruella is also a member of the Center for Cellular Immunotherapies (CCI) and the Penn Bioengineering Graduate Group.
Guruprasad studies mechanisms of resistance to chimeric antigen receptor (CAR) T cell therapy for cancer. He has served as a teaching assistant for five semesters: three for Intro to Biotransport Processes (BE 3500) taught by Alex Hughes, Assistant Professor in Bioengineering, and two for Cellular Engineering (BE 3060), taught by Daniel Hammer, Alfred G. and Meta A. Ennis Professor in Bioengineering and in Chemical and Biomolecular Engineering. Both courses are a part of the core curriculum for undergraduate bioengineering students. His doctoral thesis focuses on how a specific interaction between CAR T cells and tumor cells limits their function across a range of cancers.
“I make myself approachable outside the classroom, and I think that’s one aspect of being a TA: having responsibilities that extend beyond the classroom,” says Guruprasad. “Dozens of times, I’ve spoken to students over coffee, or over some lunch, about what direction they want to take in their life, what they want to do outside of the course, and give them my two cents of advice. I try to individualize.”
This post was adapted from an original story by Brandon Baker in Penn Today. Read the full story and list of 2023 winners here.
Throughout his career, Brian Litt has fabricated tools that support international collaboration, produced findings that have led to significant breakthroughs, and mentored the next generation of researchers tackling neurological disorders. (Image: iStock Photo/Alona Siniehina)
When Brian Litt of the Perelman School of Medicine and School of Engineering and Applied Science began treating patients as a neurologist, he found that the therapies and treatments for epilepsy were mostly reliant on traditional pharmacological interventions, which had limited success in changing the course of the disease.
People with epilepsy are often prescribed anti-seizure medications, and, while they are effective for many, about 30% of patients still continue to experience seizures. Litt sought new ways to offer patients better treatment options by investigating a class of devices that electronically stimulate cells in the brain to modulate activity known as neurostimulation devices.
Litt’s research on implantable neurostimulation devices has led to significant breakthroughs in the technology and has broadened scientists’ understanding of the brain. This work started not long after he came to Penn in 2002 with licensing algorithms to help drive a groundbreaking device by NeuroPace, the first closed-loop, responsive neurostimulator to treat epilepsy.
Building on this work, Litt noted in 2011 how the implantable neurostimulation devices being used at the time had rigid wires that didn’t conform to the brain’s surface, and he received support from CURE Epilepsy to accelerate the development of newer, flexible wires to monitor and stimulate the brain.
“CURE is one of the epilepsy community’s most influential funding organizations,” Litt says. “Their support for my lab has been incredibly helpful in enabling the cutting-edge research that we hope will change epilepsy care for our patients.”
Four University of Pennsylvania undergraduates have received 2023 Goldwater Scholarships, awarded to second- or third-year students planning research careers in mathematics, the natural sciences, or engineering.
They are among the 413 students named 2023 Goldwater Scholars from more than 5,000 students nominated by 427 academic institutions in the United States, according to the Barry Goldwater Scholarship & Excellence in Education Foundation. Each scholarship provides as much as $7,500 each year for as many as two years of undergraduate study.
Penn has produced 59 Goldwater Scholars since Congress established the scholarship in 1986 to honor U.S. Senator Barry Goldwater.
Angela Song (Class of 2024)
Angela Song, from Princeton Junction, New Jersey, is a third-year majoring in bioengineering in the School of Engineering and Applied Science. She is interested in engineering molecular therapeutics for disease. She works in Douglas C. Wallace’s lab in the Center for Mitochondrial and Epigenomic Medicine at the Children’s Hospital of Philadelphia, focusing on designing engineered proteins with mitochondrial applications. At Penn, Song is the vice president of design for UnEarthed, a student-published educational magazine for West Philadelphia elementary school children, and president of the Penn American Red Cross Club. After graduating, Song plans to continue pursuing research through a Ph.D. in bioengineering.
Read the full list of Penn 2023 Goldwater Scholars in Penn Today.
Read about previous Penn Bioengineering Goldwater Scholars here.
Election to the AIMBE College of Fellows is among the highest professional distinctions accorded to a medical and biological engineer, with AIMBE Fellows representing the top 2% of medical and biological engineers. College membership honors those who have made outstanding contributions to “engineering and medicine research, practice, or education” and to “the pioneering of new and developing fields of technology, making major advancements in traditional fields of medical and biological engineering, or developing/implementing innovative approaches to bioengineering education.”
Nominated and reviewed by peers and members of the College of Fellows, de la Fuente was elected Fellow “for the development of novel antimicrobial peptides designed using principles from computation, engineering and biology.”
A formal ceremony will be held during the AIMBE Annual Event in Arlington, Virginia on March 27, 2023, where de la Fuente will be inducted along with 140 colleagues who make up the AIMBE College of Fellows Class of 2023.
AIMBE Fellows are among the most distinguished medical and biological engineers, including 3 Nobel Prize laureates and 17 Fellows having received the Presidential Medal of Science and/or Technology and Innovation, along with 205 having been inducted into the National Academy of Engineering, 105 into the National Academy of Medicine and 43 into the National Academy of
Sciences.
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.”
Researchers at Penn and colleagues have developed a tool to analyze single cells that assesses both the patterns of gene activation within a cell and which sibling cells shared a common progenitor.
Arjun Raj of the School of Engineering and Applied Science and the Perelman School of Medicine, former postdoc Lee Richman, now of Brigham and Women’s Hospital, and colleagues have developed a new analysis tool that combines a cell’s unique gene expression data with information about the cell’s origins. The method can be applied to identify new cell subsets throughout development and better understand drug resistance.
Recent advances in analyzing data at the single-cell level have helped biologists make great strides in uncovering new information about cells and their behaviors. One commonly used approach, known as clustering, allows scientists to group cells based on characteristics such as the unique patterns of active or inactive genes or by the progeny of duplicating cells, known as clones, over several generations.
Although single-cell clustering has led to many significant findings, for example, new cancer cell subsets or the way immature stem cells mature into “specialized” cells, researchers to this point had not been able to marry what they knew about gene-activation patterns with what they knew about clone lineages.
Now, research published in Cell Genomics led by University of Pennsylvania professor of bioengineering Arjun Raj has resulted in the development of ClonoCluster, an open-source tool that combines unique patterns of gene activation with clonal information. This produces hybrid cluster data that can quickly identify new cellular traits; that can then be used to better understand resistance to some cancer therapies.
“Before, these were independent modalities, where you would cluster the cells that express the same genes in one lot and cluster the others that share a common ancestor in another,” says Lee Richman, first paper author and a former postdoc in the Raj lab who is now at Brigham and Women’s Hospital in Boston. “What’s exciting is that this tool allows you to draw new lines around your clusters and explore their properties, which could help us identify new cell types, functions, and molecular pathways.”
Researchers in the Raj Lab use a technique known as barcoding to assign labels to cells they are interested in studying, particularly useful for tracking cells, clustering data based on cells’ offspring, and following lineages over time. Believing they could parse more valuable information out of this data by incorporating the cell’s unique patterns of gene activation, the researchers applied ClonoCluster to six experimental datasets that used barcoding to track dividing cells’ offspring. Specifically, they looked at the development of chemotherapy resistance and of stem cells into specialized tissue types.
Members of the research team include (from left to right) Xuexiang Han, Michael J. Mitchell, Ningqiang Gong, Lulu Xue, Sarah J. Shepherd, and Rakan El-Mayta.
Since the success of the COVID-19 vaccine, RNA therapies have been the object of increasing interest in the biotech world. These therapies work with your body to target the genetic root of diseases and infections, a promising alternative treatment method to that of traditional pharmaceutical drugs.
Lipid nanoparticles (LNPs) have been successfully used in drug delivery for decades. FDA-approved therapies use them as vehicles for delivering messenger RNA (mRNA), which prompts the cell to make new proteins, and small interfering RNA (siRNA), which instruct the cell to silence or inhibit the expression of certain proteins.
The biggest challenge in developing a successful RNA therapy is its targeted delivery. Research is now confronting the current limitations of LNPs, which have left many diseases without an effective RNA therapy.
Liver fibrosis occurs when the liver is repeatedly damaged and the healing process results in the accumulation of scar tissue, impeding healthy liver function. It is a chronic disease characterized by the buildup of excessive collagen-rich extracellular matrix (ECM). Liver fibrosis has remained challenging to treat using RNA therapies due to a lack of delivery systems for targeting activated liver-resident fibroblasts. Both the solid fibroblast structure and the lack of specificity or affinity to target these fibroblasts has impeded current LNPs from entering activated liver-resident fibroblasts, and thus they are unable to deliver RNA therapeutics.
To tackle this issue and help provide a treatment for the millions of people who suffer from this chronic disease, Michael Mitchell, J. Peter and Geri Skirkanich Assistant Professor of Innovation in the Department of Bioengineering, and postdoctoral fellows Xuexiang Han and Ningqiang Gong, found a new way to synthesize ligand-tethered LNPs, increasing their selectivity and allowing them to target liver fibroblasts.
Lulu Xue, Margaret Billingsley, Rakan El-Mayta, Sarah J. Shepherd, Mohamad-Gabriel Alameh and Drew Weissman, Roberts Family Professor in Vaccine Research and Director of the Penn Institute for RNA Innovation at the Perelman School of Medicine, also contributed to this work.
With OCTOPUS, Dan Huh’s team has significantly advanced the frontiers of organoid research, providing a platform superior to conventional gel droplets. OCTOPUS splits the soft hydrogel culture material into a tentacled geometry. The thin, radial culture chambers sit on a circular disk the size of a U.S. quarter, allowing organoids to advance to an unprecedented degree of maturity.
When it comes to human bodies, there is no such thing as typical. Variation is the rule. In recent years, the biological sciences have increased their focus on exploring the poignant lack of norms between individuals, and medical and pharmaceutical researchers are asking questions about translating insights concerning biological variation into more precise and compassionate care.
What if therapies could be tailored to each patient? What would happen if we could predict an individual body’s response to a drug before trial-and-error treatment? Is it possible to understand the way a person’s disease begins and develops so we can know exactly how to cure it?
Dan Huh, Associate Professor in the Department of Bioengineering at the University of Pennsylvania’s School of Engineering and Applied Science, seeks answers to these questions by replicating biological systems outside of the body. These external copies of internal systems promise to boost drug efficacy while providing new levels of knowledge about patient health.
An innovator of organ-on-a-chip technology, or miniature copies of bodily systems stored in plastic devices no larger than a thumb drive, Huh has broadened his attention to engineering mini-organs in a dish using a patient’s own cells.
Penn Medicine researchers laud the early results for CAR T therapy in lupus patients, which point to broader horizons for the use of personalized cellular therapies.
Penn Medicine’s Carl June and Daniel Baker.
Engineered immune cells, known as CAR T cells, have shown the world what personalized immunotherapies can do to fight blood cancers. Now, investigators have reported highly promising early results for CAR T therapy in a small set of patients with the autoimmune disease lupus. Penn Medicine CAR T pioneer Carl June and Daniel Baker, a doctoral student in cell and molecular biology in the Perelman School of Medicine, discuss this development in a commentary published in Cell.
“We’ve always known that in principle, CAR T therapies could have broad applications, and it’s very encouraging to see early evidence that this promise is now being realized,” says June, who is the Richard W. Vague Professor in Immunotherapy in the department of Pathology and Laboratory Medicine at Penn Medicine and director of the Center for Cellular Immunotherapies at the Abramson Cancer Center.
T cells are among the immune system’s most powerful weapons. They can bind to, and kill, other cells they recognize as valid targets, including virus-infected cells. CAR T cells are T cells that have been redirected, through genetic engineering, to efficiently kill specifically defined cell types.
CAR T therapies are created out of each patient’s own cells—collected from the patient’s blood, and then engineered and multiplied in the lab before being reinfused into the patient as a “living drug.” The first CAR T therapy, Kymriah, was developed by June and his team at Penn Medicine, and received Food & Drug Administration approval in 2017. There are now six FDA-approved CAR T cell therapies in the United States, for six different cancers.
From the start of CAR T research, experts believed that T cells could be engineered to fight many conditions other than B cell cancers. Dozens of research teams around the world, including teams at Penn Medicine and biotech spinoffs who are working to develop effective treatments from Penn-developed personalized cellular therapy constructs, are examining these potential new applications. Researchers say lupus is an obvious choice for CAR T therapy because it too is driven by B cells, and thus experimental CAR T therapies against it can employ existing anti-B-cell designs. B cells are the immune system’s antibody-producing cells, and, in lupus, B cells arise that attack the patient’s own organs and tissues.
