Cesar de la Fuente (left), Fangping Wan (center), and Marcelo der Torossian Torres (right). Fangping holds a 3D model of a unique ATP synthase fragment, identified by their lab’s deep learning model, APEX, as having potent antibiotic properties.
“Make sure you finish your antibiotics course, even if you start feeling better’ is a medical mantra many hear but ignore,” says Cesar de la Fuente of the University of Pennsylvania.
He explains that this phrase is, however, crucial as noncompliance could hamper the efficacy of a key 20th century discovery, antibiotics. “And in recent decades, this has led to the rise of drug-resistant bacteria, a growing global health crisis causing approximately 4.95 million deaths per year and threatens to make even common infections deadly,” he says.
De la Fuente, a Presidential Assistant Professor, and a team of interdisciplinary researchers have been working on biomedical innovations tackling this looming threat. In a new study, published in Nature Biomedical Engineering, they developed an artificial intelligence tool to mine the vast and largely unexplored biological data—more than 10 million molecules of both modern and extinct organisms— to discover new candidates for antibiotics.
“With traditional methods, it takes around six years to develop new preclinical drug candidates to treat infections and the process is incredibly painstaking and expensive,” de la Fuente says. “Our deep learning approach can dramatically reduce that time, driving down costs as we identified thousands of candidates in just a few hours, and many of them have preclinical potential, as tested in our animal models, signaling a new era in antibiotic discovery.” César de la Fuente holds a 3D model of a unique ATP synthase fragment, identified by his lab’s deep learning model, APEX, as having potent antibiotic properties. This molecular structure, resurrected from ancient genetic data, represents a promising lead in the fight against antibiotic-resistant bacteria.
These latest findings build on methods de la Fuente has been working on since his arrival at Penn in 2019. The team asked a fundamental question: Can machines be used to accelerate antibiotic discovery by mining the world’s biological information? He explains that this idea is based on the notion that biology, at its most basic level, is an information source, which could theoretically be explored with AI to find new useful molecules.
The Solomon R. Pollack Award for Excellence in Graduate Bioengineering Research is given annually to the most deserving Bioengineering graduate students who have successfully completed research that is original and recognized as being at the forefront of their field. This year, the Department of Bioengineering at the University of Pennsylvania is proud to recognize the work of four outstanding graduates in Bioengineering: William Benman, Alex Chan, Rohan Palanki and Sunghee Estelle Park.
Read more about the 2024 Solomon R. Pollack awardees and their doctoral research below.
William Benman
Dissertation: “Remote control of cell function using heat and light as inputs”
Will conducts research in the lab of Lukasz Bugaj, Assistant Professor in Bioengineering, focusing on reprogramming cells so that their basic functions can be regulated artificially using heat and/or light as inputs. The goal of this work ranges from clinical applications, such as localized activation of cell therapies within patients via application of heat, to biological manufacturing, using light to activate production of valuable biologics during key phases of a cell’s life cycle. He earned his undergraduate degree in biomedical engineering from Boston University, where he graduated summa cum laude. At BU, he worked in the lab of Wilson Wong, where he was introduced to synthetic biology. During that time, he worked to develop a genetic logic framework that would allow cells to integrate chemical signals, such that each combination of signals would lead to a different, user-defined combination of genes being expressed. Outside of the lab, Benman enjoys baking and sharing his treats with lab members. He mentored the 2021 Penn iGEM team, which recently published their work in Communications Biology. After graduation, he will start a postdoctoral fellowship in Mikhail Shapiro’s lab at Caltech, where he plans to explore electrogenetics, focusing on how to co-opt electrically active cell types to transmit biochemical information out of the body. He is interested in researching ways to get cells to talk to electronic devices and vice/versa for two way communication, especially in the context of patient monitoring and precision therapies.
“Will’s Ph.D. work broke new ground across several fields, discovering how certain proteins sense temperature, engineering those proteins for on-demand control of human cells, and building devices to allow us to communicate with cells with precision,” says Bugaj. “He has managed these accomplishments while elevating those around him through mentorship, including of graduate students, scores of undergraduates, and even grade-school students in the community. I am immensely proud of Will and what he has accomplished and am gratified by the recognition from the Sol Pollack award.”
Alex Chan
Dissertation: “Engineering small protein based inhibitors and biodegraders for cytosolic delivery and targeting of the undruggable proteome”
Alex conducts research in the lab of Andrew Tsourkas, Professor in Bioengineering and Co-Director, Center for Targeted Therapeutics and Translational Nanomedicine (CT3N). His research focuses on developing novel cancer therapeutics by engineering protein scaffolds so that they can be efficiently delivered into cells using lipid nanocarriers. These proteins can either behave as oncogenic inhibitors or be imbued with E3 domains for targeted protein degradation. He graduated from The Pennsylvania State University in 2018 with a B.S in Biomedical Engineering. There, he conducted undergraduate research on photo-activated silver nanoparticle miRNA delivery systems and wrote his senior honors thesis on this topic. At Penn, Alex served as a wellness co-chair within GABE (the Graduate Association of Bioengineers) and was awarded a graduate research fellowship program award by the National Science Foundation (NSF GRFP). In his spare time, Chan loves to cook and explore the local restaurant scene (and he thinks Philly is one of the most vibrant food meccas in America). Post-graduation, he plans to explore Asia before starting as a Senior Scientist in the biopharma industry. He intends to continue working on novel biologics-based medicines for unmet medical needs.
“I cannot think of anyone more deserving of this award than Alex,” says Tsourkas. “He not only demonstrates all of the traits that we love to see in our most successful Ph.D. students — intelligence, hard work ethic, and perseverance — but Alex has also exhibited a level of scientific independence that is beyond his years. I cannot wait to see what Alex achieves in the future.”
Rohan Palanki
Dissertation: “Ionizable lipid nanoparticles for in utero gene editing of congenital disease”
Rohan completed his B.S. in Bioengineering from Rice University in 2019 and subsequently matriculated into the Medical Scientist Training Program (M.D./Ph.D.) at the University of Pennsylvania. He conducted his doctoral research as an NIH Ruth L. Kirschstein Pre-Doctoral Fellow in the laboratories of Michael J. Mitchell, Associate Professor in Bioengineering, and William H. Peranteau, Associate Professor of Surgery at CHOP. After defending his thesis in 2024, he returned to medical school to complete his clinical training. He plans to pursue a career as a physician-engineer, conducting translational research at the intersection of biomaterials and genomic medicine. Outside of the lab, Palanki enjoys exploring new restaurants in Philadelphia and cheering on Philadelphia sports teams.
“Rohan pioneered new lipid nanoparticle gene editing technology in the lab that can treat deadly childhood diseases before a child is ever born,” says Mitchell. “Rohan is extremely deserving of this award, and I cannot wait to see what he accomplishes as a physician scientist developing new biomaterial and drug delivery technologies for pediatric applications.”
Sunghee Estelle Park
Dissertation: “Engineering stem cells and organoids on a chip for the study of human health and disease”
Sunghee Estelle Park earned her BMSE and MSME from Korea University and her Ph.D. in Bioengineering at the University of Pennsylvania, graduating in July 2023. She conducted doctoral research in the BIOLines Lab of Dan Huh, Associate Professor in Bioengineering. Her Ph.D. research combined principles in developmental biology, stem cell biology, organoids, and organ-on-a-chip technology to develop innovative in vitro models that can faithfully replicate the pathophysiology of various human diseases. Her doctoral dissertation presented engineering approaches to create stem cell derived three-dimensional (3D) miniature models of human organs on a chip that mimic the physiology and function of living human tissues. Park was appointed Assistant Professor of Biomedical Engineering in the Weldon School of Biomedical Engineering at Purdue University beginning January 2024. Her research lab focuses on using engineered tissues and organoid models to understand how biomechanical and biochemical cues direct stem cell differentiation, maturation, and function during development and disease progression, with a particular emphasis on the lung and intestine.
“With her deep knowledge, extensive experience, and leadership, Estelle led the major undertaking of harnessing the power of microengineering technologies to create more in vivo-like culture environments in my group, and she played a central role in demonstrating the proof-of-concept of generating organoid-based in vitro models that enable new capabilities for studying complex human diseases and developing new therapeutics,” says Huh. “I am extremely proud of her tremendous accomplishments as a trailblazer in this emerging area and have every confidence that her work as an independent investigator will continue to make great contributions to advancing the field.”
Illustration of the 55LCC complex. (Image: Courtesy of Cameron Baines/Phospho Biomedical Animation)
When cells in the human body divide, they must first make accurate copies of their DNA. The DNA replication exercise is one of the most important processes in all living organisms and is fraught with risks of mutation, which can lead to cell death or cancer. Now, findings from biologists from the Perelman School of Medicine and from the University of Leeds have identified a multiprotein “machine” in cells that helps govern the pausing or stopping of DNA replication to ensure its smooth progress. Illustration of the 55LCC complex. (Image: Courtesy of Cameron Baines/Phospho Biomedical Animation)
The discovery, published in Cell, advances the understanding of DNA replication, helps explain a puzzling set of genetic diseases, and could inform the development of future treatments for neurologic and developmental disorders.
“We’ve found what appears to be a critical quality-control mechanism in cells,” says senior co-corresponding author Roger Greenberg, the J. Samuel Staub, M.D. Professor in the department of Cancer Biology, director of the Penn Center for Genome Integrity, and director of basic science at the Basser Center for BRCA at Penn Medicine. “Trillions of cells in our body divide every single day, and this requires accurate replication of our genomes. Our work describes a new mechanism that regulates protein stability in replicating DNA. We now know a bit more about an important step in this complex biological process.”
From left: Emily Han, Rohan Palanki, Jacqueline Li, Michael Mitchell, Dongyoon Kim, and Marshall Padilla of Penn Engineering.
Imagine the brain as an air traffic control tower, overseeing the crucial and complex operations of the body’s ‘airport.’ This tower, essential for coordinating the ceaseless flow of neurological signals, is guarded by a formidable layer that functions like the airport’s security team, diligently screening everything and everyone, ensuring no unwanted intruders disrupt the vital workings inside.
However, this security, while vital, comes with a significant drawback: sometimes, a ‘mechanic’—in the form of critical medication needed for treating neurological disorders—is needed inside the control tower to fix arising issues. But if the security is too stringent, denying even these essential agents entry, the very operations they’re meant to protect could be jeopardized.
Now, researchers led by Michael Mitchell of the University of Pennsylvania are broaching this long-standing boundary in biology, known as the blood-brain barrier, by developing a method akin to providing this mechanic with a special keycard to bypass security. Their findings, published in the journal Nano Letters, present a model that uses lipid nanoparticles (LNPs) to deliver mRNA, offering new hope for treating conditions like Alzheimer’s disease and seizures—not unlike fixing the control tower’s glitches without compromising its security.
“Our model performed better at crossing the blood-brain barrier than others and helped us identify organ-specific particles that we later validated in future models,” says Mitchell, associate professor of bioengineering at Penn’s School of Engineering and Applied Science, and senior author on the study. “It’s an exciting proof of concept that will no doubt inform novel approaches to treating conditions like traumatic brain injury, stroke, and Alzheimer’s.”
The Heilmeier Award honors a Penn Engineering faculty member whose work is scientifically meritorious and has high technological impact and visibility. It is named for the late George H. Heilmeier, a Penn Engineering alumnus and member of the School’s Board of Advisors, whose technological contributions include the development of liquid crystal displays and whose honors include the National Medal of Science and Kyoto Prize.
Raj, who also holds an appointment in Genetics in the Perelman School of Medicine, is a pioneer in the burgeoning field of single-cell engineering and biology. Powered by innovative techniques he has developed for molecular profiling of single cells, his scientific discoveries range from the molecular underpinnings of cellular variability to the behavior of single cells across biology, including in diseases such as cancer.
Raj will deliver the 2023-24 Heilmeier Lecture at Penn Engineering during the spring 2024 semester.
This story originally appeared in Penn Engineering Today.
Microwell device with a solution in the reservoir (Image: Courtesy of David E. Reynolds)
Akin to the packages sent from one person to another via an elaborate postal system, cells send tiny parcels that bear contents and packaging material that serve key purposes: To protect the contents from the outside world and to make sure it gets to the right place via a label with an address.
These packages are known as extracellular vesicles (EVs)—lipid-bound molecules that serve a variety of regulatory and maintenance functions throughout the body. They assist in the removal of unwanted materials within the cell, and they transport proteins, aid in DNA and RNA transfer, and promote tumorigeneses in cancerous cells.
Given their myriad roles, EVs have taken center stage for many researchers in the biomedical space as they have the potential to improve current methods of disease detection and treatment. The main challenge, however, is accurately identifying the molecular contents of EVs while also characterizing the EVs, which, unlike other cellular components that are more homogenous, have more heterogeneity.
Now, a team of researchers at the University of Pennsylvania has developed a novel platform, droplet-free double digital assay, for not only profiling individual EVs but also accurately discerning their molecular contents. The researchers took the digital assay, which quantifies the contents of a molecule via binary metric—a 1 corresponds to the presence of a molecule and a zero to the lack thereof—and applies it to the EV. The work is published in Advanced Science.
The team was led by Jina Ko, an assistant professor with appointments in the School of Engineering and Applied Science and Perelman School of Medicine. “Our method allows for highly accurate quantification of the individual molecules inside an EV,” Ko says . “This opens up many doors in the realm of early disease detection and treatment.”
The researchers first compartmentalized individual EVs utilizing a microwell approach to isolate the EVs. Next, they captured individual molecules within the EVs and amplified the signal for clarity. The team then was able to determine the expression levels of pivotal EV biomarkers with remarkable precision via fluorescence.
Jina Ko is an assistant professor in the Department of Pathology and Laboratory Medicine in the Perelman School of Medicine and an assistant professor in the Department of Bioengineering in the School of Engineering and Applied Science at the University of Pennsylvania.
David Reynolds is a Ph.D. candidate in the Department of Bioengineering in Penn Engineering.
Other authors include, Menghan Pan, George Galanis, Yoon Ho Roh, Renee-Tyler T. Morales, Shailesh Senthil Kumar, and Su-Jin Heo of the Department of Bioengineering at Penn Engineering; Jingbo Yang and Xiaowei Xu of the Department of Pathology and Laboratory Medicine at Penn Medicine; and Wei Guo of the Department of Biology in the School of Arts & Sciences at Penn.
The research was supported by the National Institutes of Health: grants R00CA256353, R35 GM141832, and CA174523 (SPORE).
In an era peppered by breathless discussions about artificial intelligence—pro and con—it makes sense to feel uncertain, or at least want to slow down and get a better grasp of where this is all headed. Trusting machines to do things typically reserved for humans is a little fantastical, historically reserved for science fiction rather than science.
Not so much for César de la Fuente, PhD, the Presidential Assistant Professor in Psychiatry, Microbiology, Chemical and Biomolecular Engineering, and Bioengineering in Penn’s Perelman School of Medicine and School of Engineering and Applied Science. Driven by his transdisciplinary background, de la Fuente leads the Machine Biology Group at Penn: aimed at harnessing machines to drive biological and medical advances.
“Biology is complexity, right? You need chemistry, you need mathematics, physics and computer science, and principles and concepts from all these different areas, to try to begin to understand the complexity of biology,” he said. “That’s how I became a scientist.”
Artificial intelligence is a new addition to the infectious disease researcher’s toolbox. Yet in merely half a decade, AI has accelerated progress on some of the most urgent issues in medical science and public health. Researchers in this field blend knowledge of life sciences with skill in computation, chemistry and design, satisfying decades-long appeals for interdisciplinary tactics to treat these disorders and stop their spread.
Diseases are “infectious” when they are caused by organisms, including parasites, viruses, bacteria and fungi. People and animals can contract infectious diseases from their environments or food, or through interactions with one another. Some, but not all, are contagious.
Infectious diseases are an intractable global challenge, posing problems that continue to grow in severity even as science has offered a steady pace of solutions. The world continues to become more interconnected, bringing people into new kinds and levels of relation, and the climate crisis is throwing environmental and ecological networks out of balance. Diseases that were once treatable by drugs have become resistant, and new drug discovery is more costly than ever. Uneven resource distribution means that certain parts of the world are perennial hotspots for diseases that others never fear.
In the paper, de la Fuente and co-authors assess the progress, limitations and promise of research in AI and infectious diseases in three major areas of inquiry: anti-infective drug discovery, infection biology, and diagnostics for infectious diseases.
Collaborators from Penn Engineering and the Stuart Weitzman School of Design have created “living-like” bioactive interior architecture designed to one day protect us from hidden airborne threats. The figure above demonstrates (A) design for support lattices for the team’s innovative bioactive sites, (B) a ribbon-like geometry for hanging and (C, D) how these structures may be integrated into indoor environments to biologically sense and react to air.
The distinction is an important one for the assistant professor at the Stuart Weitzman School of Design, for reasons both scientific and artistic. With a doctorate in biomedical engineering, several degrees in architecture, and a devotion to sustainable design, Mogas-Soldevila brings biology to everyday life, creating materials for a future built halfway between nature and artifice.
The architectural technology she describes is unassuming at first look: A freeze-dried pellet, small enough to get lost in your pocket. But this tiny lump of matter, the result of more than a year’s collaboration between designers, engineers and biologists, is a biomaterial that contains a “living-like” system.
When touched by water, the pellet activates and expresses a glowing protein, its fluorescence demonstrating that life and art can harmonize into a third and very different thing, as ready to please as to protect. Woven into lattices made of flexible natural materials promoting air and moisture flow, the pellets form striking interior design elements that could one day keep us healthy.
“We envision them as sensors,” explains Mogas-Soldevila. “They may detect pathogens, such as bacteria or viruses, or alert people to toxins inside their home. The pellets are designed to interact with air. With development, they could monitor or even clean it.”
For now, they glow, a triumphant first stop on the team’s roadmap to the future. The fluorescence establishes that the lab’s biomaterial manufacturing process is compatible with the leading-edge cell-free engineering that gives the pellets their life-like properties.
A rapidly expanding technology, cell-free protein expression systems allow researchers to manufacture proteins without the use of living cells.
Gabrielle Ho, Ph.D. candidate in the Department of Bioengineering and co-leader of the project, explains how the team’s design work came to be cell-free, a technique rarely explored outside of lab study or medical applications.
“Typically, we’d use living E. coli cells to make a protein,” says Ho. “E. coli is a biological workhorse, accessible and very productive. We’d introduce DNA to the cell to encourage expression of specific proteins. But this traditional method was not an option for this project. You can’t have engineered E. coli hanging on your walls.”
Cell-free systems contain all the components a living cell requires to manufacture protein —energy, enzymes and amino acids — and not much else. These systems are therefore not alive. They do not replicate, and neither can they cause infection. They are “living-like,” designed to take in DNA and push out protein in ways that previously were only possible using living cells.
“One of the nicest things about these materials not being alive,” says Mogas-Soldevila, “is that we don’t need to worry about keeping them that way.”
Unlike living cells, cell-free materials don’t need a wet environment or constant monitoring in a lab. The team’s research has established a process for making these dry pellets that preserves bioactivity throughout manufacturing, storage and use.
Bioactive, expressive and programmable, this technology is designed to capitalize on the unique properties of organic materials.
Mogas-Soldevila, whose lab focuses exclusively on biodegradable architecture, understands the value of biomaterials as both environmentally responsible and aesthetically rich.
“Architects are coming to the realization that conventional materials — concrete, steel, glass, ceramic, etc. — are environmentally damaging and they are becoming more and more interested in alternatives to replace at least some of them. Because we use so much, even being able to replace a small percentage would result in a significant reduction in waste and pollution.”
Her lab’s signature materials — biopolymers made from shrimp shells, wood pulp, sand and soil, silk cocoons, and algae gums — lend qualities over and above their sustainable advantages.
“My obsession is diagnostic, but my passion is playfulness,” says Mogas-Soldevila. “Biomaterials are the only materials that can encapsulate this double function observed in nature.”
This multivalent approach benefited from the help of Penn Engineering’s George H. Stephenson Foundation Educational Laboratory & Bio-MakerSpace, and the support of its director, Sevile Mannickarottu. In addition to contributing essential equipment and research infrastructure to the team, Mannickarottu was instrumental in enabling the interdisciplinary relationships that led the team to success, introducing Ho to the DumoLab Research team collaborators. These include Mogas-Soldevila, Camila Irabien, a Penn Biology major who provided crucial contributions to experimental work, and Fulbright design fellow Vlasta Kubušová, who co-led the project during her time at Penn and who will continue fueling the project’s next steps.
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.
