Danielle Bassett has been named the J. Peter Skirkanich Professor of Bioengineering.
Dr. Bassett is a Professor in the department of Bioengineering at the School of Engineering and Applied Science. She holds a Ph.D. in Physics from the University of Cambridge and completed her postdoctoral training at the University of California, Santa Barbara, before joining Penn in 2013.
Dr. Bassett has received numerous awards for her research, including an Alfred P Sloan Research Fellowship, a MacArthur Fellowship, an Office of Naval Research Young Investigator Award, a National Science Foundation CAREER Award and, most recently, an Erdos-Renyi Prize in Network Science to name but a few. She has authored over 190 peer-reviewed publications as well as numerous book chapters and teaching materials. She is the founding director of the Penn Network Visualization Program, a combined undergraduate art internship and K-12 outreach program bridging network science and the visual arts.
Diabetes is one of the more common diseases among Americans today, with the American Diabetes Association estimating that approximately 9.5 percent of the population battles the condition today. Though symptoms and causes may vary across types and patients, diabetes generally results from the body’s inability to produce enough insulin to keep blood sugar levels in check. A new experimental treatment from the lab of Sha Jin, Ph.D., a biomedical engineering professor at Binghamton University, aims to use about $1.2 million in recent federal grants to develop a method for pancreatic islet cell transplantation, as those are the cells responsible for producing insulin.
But the catch to this new approach is that relying on healthy donors of these islet cells won’t easily meet the vast need for them in diabetic patients. Sha Jin wants to use her grants to consider the molecular mechanisms that can lead pluripotent stem cells to become islet-like organoids. Because pluripotent stem cells have the capability to evolve into nearly any kind of cell in the human body, the key to Jin’s research is learning how to control their mechanisms and signaling pathways so that they only become islet cells. Jin also wants to improve the eventual culture of these islet cells into three-dimensional scaffolds by finding ways of circulating appropriate levels of oxygen to all parts of the scaffold, particularly those at the center, which are notoriously difficult to accommodate. If successful in her tissue engineering efforts, Jin will not only be able to help diabetic patients, but also open the door to new methods of evolving pluripotent stem cells into mini-organ models for clinical testing of other diseases as well.
A Treatment to Help Others See Better
Permanently crossed eyes, a medical condition called strabismus, affects almost 18 million people in the United States, and is particularly common among children. For a person with strabismus, the eyes don’t line up to look at the same place at the same time, which can cause blurriness, double vision, and eye strain, among other symptoms. Associate professor of bioengineering at George Mason University, Qi Wei, Ph.D., hopes to use almost $2 million in recent funding from the National Institute of Health to treat and diagnose strabismus with a data-driven computer model of the condition. Currently, the most common method of treating strabismus is through surgery on one of the extraocular muscles that contribute to it, but Wei wants her model to eventually offer a noninvasive approach. Using data from patient MRIs, current surgical procedures, and the outcomes of those procedures, Wei hopes to advance and innovate knowledge on treating strabismus.
A Newly Analyzed Brain Mechanism Could be the Key to Stopping Seizures
Among neurological disorders, epilepsy is one of the most common. An umbrella term for a lot of different seizure-inducing conditions, many versions of epilepsy can be treated pharmaceutically. Some, however, are resistant to the drugs used for treatment, and require surgical intervention. Bin He, Ph. D., the Head of the Department of Biomedical Engineering at Carnegie Mellon University, recently published a paper in collaboration with researchers at Mayo Clinic that describes the way that seizures originating at a single point in the brain can be regulated by what he calls “push-pull” dynamics within the brain. This means that the propagation of a seizure through the brain relies on the impact of surrounding tissue. The “pull” he refers to is of the surrounding tissue towards the seizure onset zone, while the “push” is what propagates from the seizure onset zone. Thus, the strength of the “pull” largely dictates whether or not a seizure will spread. He and his lab looked at different speeds of brain rhythms to perform analysis of functional networks for each rhythm band. They found that this “push-pull” mechanism dictated the propagation of seizures in the brain, and suggest future pathways of treatment options for epilepsy focused on this mechanism.
Hyperspectral Imaging Might Provide New Ways of Finding Cancer
A new method of imaging called hyperspectral imaging could help improve the prediction of cancerous cells in tissue specimens. A recent study from a University of Texas Dallas team of researchers led by professor of bioengineering Baowei Fei, Ph.D., found that a combination of hyperspectral imaging and artificial intelligence led to an 80% to 90% level of accuracy in identifying the presence of cancer cells in a sample of 293 tissue specimens from 102 patients. With a $1.6 million grant from the Cancer Prevention and Research Institute of Texas, Fei wants to develop a smart surgical microscope that will help surgeons better detect cancer during surgery.
Fei’s use of hyperspectral imaging allows him to see the unique cellular reflections and absorptions of light across the electromagnetic spectrum, giving each cell its own specific marker and mode of identification. When paired with artificial intelligence algorithms, the microscope Fei has in mind can be trained to specifically recognize cancerous cells based on their hyperspectral imaging patterns. If successful, Fei’s innovations will speed the process of diagnosis, and potentially improve cancer treatments.
People and Places
A group of Penn engineering seniors won the Pioneer Award at the Rothberg Catalyzer Makerthon led be Penn Health-Tech that took place from October 19-20, 2019. SchistoSpot is a senior design project created by students Vishal Tien (BE ‘20), Justin Swirbul (CIS ‘20), Alec Bayliff (BE ‘20), and Bram Bruno (CIS ‘20) in which the group will design a low-cost microscopy dianostic tool that uses computer vision capabilities to automate the diagnosis of schistosomiasis, which is a common parasitic disease. Read about all the winners here.
Virginia Tech University will launch a new Cancer Research Initiative with the hope of creating an intellectual community across engineers, veterinarians, biomedical researchers, and other relevant scientists. The initiative will focus not only on building better connections throughout departments at the university, but also in working with local hospitals like the Carilion Clinic and the Children’s National Hospital in Washington, D.C. Through these new connections, people from all different areas of science and engineering and come together to share ideas.
Associate Professor of Penn Bioengineering Dani Bassett, Ph.D., recently sat down with the Penn Integrates Knowledge University Professor Duncan Watts, Ph.D., for an interview published in Penn Engineering. Bassett discusses the origins of network science, her research in small-world brain networks, academic teamwork, and the pedagogy of science and engineering. You can read the full interview here.
Brain stimulation, where targeted electrical impulses are directly applied to a patient’s brain, is already an effective therapy for depression, epilepsy, Parkinson’s and other neurological disorders, but many more applications are on the horizon. Clinicians and researchers believe the technique could be used to restore or improve memory and motor function after an injury, for example, but progress is hampered by how difficult it is to predict how the entire brain will respond to stimulation at a given region.
In an effort to better personalize and optimize this type of therapy, researchers from the University of Pennsylvania’s School of Engineering and Applied Science and Perelman School of Medicine, as well as Thomas Jefferson University Hospital and the University of California, Riverside, have developed a way to model how a given patient’s brain activity will change in response to targeted stimulation.
To test the accuracy of their model, they recruited a group of study participants who were undergoing an unrelated treatment for severe epilepsy, and thus had a series of electrodes already implanted in their brains. Using each individual’s brain activity data as inputs for their model, the researchers made predictions about how to best stimulate that participant’s brain to improve their performance on a basic memory test.
The participants’ brain activity before and after stimulation suggest the researchers’ models have meaningful predictive power and offer a first step towards a more generalizable approach to specific stimulation therapies.
The study, published in the journal Cell Reports, was led by Danielle Bassett, J. Peter Skirkanich Professor in Penn Engineering’s Department of Bioengineering, and Jennifer Stiso, a neuroscience graduate student in Penn Medicine and a member of Bassett’s Complex Systems Lab.
We would like to congratulate Penn Bioengineering faculty members Arjun Raj, Ph.D., and Danielle Bassett, Ph.D., on their promotions from associate to full professors.
The Raj lab studies how biological processes work at the level of individual cells. Their work combines quantitative tools from genomics, imaging, biology, math, and computer science to develop models for how individual cells function, and in particular, how these individual cells can behave differently from each other. One major interest is in cancer, in which the lab is studying how individual cells can drive resistance to anti-cancer drugs. He and his lab also have a regularly updated blog discussing general topics related to scientific academia.
The Bassett lab takes an in-depth look at the use of network science and complex systems theory to study computational neuroscience in projects that involve the architecture of knowledge networks, the controllability of brain networks, and the dynamic networks in neuroscience. This fall, she will teach an elective course in network neuroscience open to graduate and undergraduate students that covers the use of network science in understanding overall brain circuitry. Bassett was recently profiled in Science Magazine.
Why do some people naturally excel at learning instruments, languages or technology while others take longer to pick up new knowledge? Learning requires the brain to encode information, changing its neural “wiring” and creating networks between brain regions.
Earlier research has suggested that part of what might slow down learners is over-thinking. A 2015 study led by Danielle Bassett, Eduardo D. Glandt Faculty Fellow and associate professor in the Department of Bioengineering, showed a correlation between slow learning and cognitive control: the brain’s ability to regulate itself by activating the necessary networks and inhibiting unnecessary activity. In that study, when people unnecessarily engaged parts of the brain linked to cognitive control, they were more likely to take longer to learn a simple task.
But beyond what might make an individual learn more slowly, the researchers want to know what sort of geometric patterns of brain activity make for better learning.
Their new study was led by Bassett and Evelyn Tang, who was an Africk Family Postdoctoral Fellow in Bassett’s Complex Systems Lab before starting at the Max Planck Institute this fall. Sharon Thompson-Schill, Christopher H. Browne Distinguished Professor and chair of Psychology, also contributed to the study.
Danielle Bassett, Eduardo D. Glandt Faculty Fellow and Associate Professor in theDepartment of Bioengineering, grew up in central Pennsylvania where she and her 10 siblings were homeschooled. Back then, Bassett had aspirations to become a professional pianist, a dream shattered by stress fractures in her arm at age 16.
Now, Bassett is a renowned physicist and MacArthur fellow who has pushed the field of network science, which studies connections and interactions between parts of a whole, to new realms. Bassett’s research focuses on brain function, including work on how brains of people with schizophrenia are organized, how brain communication changes with learning, and how the brain is able to switch between tasks.
Kelly Servick of Science sat down with Bassett to talk through her incredible journey from child pianist to leading network scientist:
““By 17, discouraged by her parents from attending college and disheartened at her loss of skill while away from the keys, she expected that responsibilities as a housewife and mother would soon eclipse any hopes of a career. ‘I wasn’t happy with that plan,’ she says.
Instead, Bassett catapulted herself into a life of research in a largely uncharted scientific field now known as network neuroscience. A Ph.D. physicist and a MacArthur fellow by age 32, she has pioneered the use of concepts from physics and math to describe the dynamic connections in the human brain. ‘She’s now the doyenne of network science,’ says theoretical neuroscientist Karl Friston of University College London. ‘She came from a formal physics background but was … confronted with some of the deepest questions in neuroscience.’”
Continue reading about Bassett’s career path and evolving research interests at Science.
New Vascularized Patches Could Help Patient Recovery from Heart Attacks
Heart attacks are the result of a stoppage of blood flow to the heart – an interruption to normal function that can result in severe tissue damage, or even tissue death. This loss of healthy tissue function is one of the biggest challenges in treating patients that undergo heart attacks, as the damaged tissue increases their risk of having future attacks. One of the main solutions to this issue right now is the creation of cardiac tissue scaffolds using stem cells to create a platform for new and healthy tissue to grow in vivo. A group of biomedical engineers at Michigan Technological University hopes to expand on this basis by focusing not just on cellular alignment in the scaffold but on that of microvessels too. Led by Feng Zhao, Ph.D., Associate Professor of Biomedical Engineering, the team hopes that this new attention on microvessel organization will improve the vasculature of the scaffolds, and thus improve the success of the scaffolds in vivo, allowing for a better recovery from heart attacks.
Some Stem Cells May Be More Fit Than Others
Stem cells are one of the hottest research areas in the field of bioengineering today. Widely known as the cells in the human embryo that have the ability to eventually transform into specific cells for the brain, lung, and every other organ, stem cells are also of recent interest because researchers found ways to reverse this process, transforming organ-specific cells back to the pluripotent stem cell level. This achievement however, is mostly applicable to individual stem cells, and doesn’t fully encapsulate the way this process might work on a larger population level. So Peter Zandstra, Ph. D., a bioengineering faculty member at the University of British Columbia, decided to research just that.
Using mouse embryonic fibroblasts (MEFs), Zandstra and his lab attempted to track the cells throughout their reprogramming, to more clearly trace each back to its respective parent population. Surprisingly, they found that after only one week of reprogramming, nearly 80% of the original cell population had been removed, meaning that most of the parent generation was not “fit” enough to undergo the process of reprogramming, indicating that perhaps some stem cells will have a better chance of survival in this process than others. This research may suggest that not all cells have the capacity to undergo reprogramming, as many researchers originally thought.
A New Microdevice Will Help Model Bronchial Spasms
The difficulty in breathing associated with asthma is the result of bronchial spasms, which are a kind of muscle contraction in the airways. But little was known about just how these spasms occurred in patients, so Andre Levchenko, Ph.D., Professor of Biomedical Engineering at Johns Hopkins, and his lab created a microdevice to model them. Calling the device a “bronchi on a chip,” Levchenko and his team used a microphysiological model to look at some of the biochemical and mechanical signals associated with these kinds of muscle contractions. They found that the contractions operate in a positive feedback system, so that those caused by disturbance from allergens will subsequently cause even more contractions to occur. But surprisingly, they also found that a second contraction, if triggered at the right time during the initial contraction, could actually stop the process and allow the muscles to relax. Because asthma is a notoriously difficult disease to translate from animal to human models, this new device opens the door to understanding different mechanisms of asthma before taking research to clinical trials.
New CHOP Research Center to Focus Research on Pediatric Airway Disorders
A new bioengineering lab at the Children’s Hospital of Philadelphia called the Center for Pediatric Airway Disorders will specialize in a variety of airway procedures for pediatric patients such as tracheal reconstruction and recurrent laryngeal nerve reinnervation. This new lab will be one of the first to give a unique focus to the application of bioengineering to pediatric laryngology. The interdisciplinary center brings together students and researchers from all different fields, including materials science and microbiology, to find new ways of repairing tissue and regenerating organs related to respiratory disorders. Specific areas of research will involve the modeling of children’s vocal cords, understanding the mechanisms of fibrosis, and improving surgical procedures.
Deeper Understanding of Sickle Cell Anemia Could Lead to New Treatments
Though sickle cell anemia is a common and well-known disease, a new study of its causes at the nanoscale level might reveal previously unknown information about the assembly of hemoglobin fibers. Using microscopes with the ability to visualize these molecules at such a small level, researchers at the University of Minnesota found that the beginning organizations that lead to sickle cell anemia are much less ordered than originally thought. Led by Associate Professor of Biomedical Engineering David Wood, Ph.D., the team of researchers used this higher level of microscopy to find that hemoglobin self-assembly process, which was originally thought to be 96% efficient, is actually only 4% efficient. Wood hopes that this new knowledge will help allow for the development of new and better treatments for patients with sickle cell anemia, as there are currently only two FDA-approved ones on the market.
People & Places
Penn Today asked five Penn researchers about the women in STEM who have been a source of inspiration and encouragement throughout their own careers. Their responses include active researchers who have paved the way for better inclusion in STEM and famous female scientists from the past who broke boundaries as they made strides with their research.
This week, we want to congratulate Joel Boerckel, Ph.D., Assistant Professor of Orthopaedic Surgery and Bioengineering, and his lab on receiving a second R01 Grant from the National Institute of Arthritis and and Musculoskeletal Skin Diseases for their work on defining the roles of YAP and TAZ in embryonic bone morphogenesis and mechanoregulation of fracture repair. Dr. Boerckel is a member of the McKay Orthopaedic Research Laboratory.
We would also like to congratulate Christopher Yip, Ph. D., on being appointed as the new dean of the University of Toronto’s Faculty of Applied Science and Engineering. A professor in both the Department of Chemical Engineering and Applied Chemistry the Institute of Biomaterials and Biomedical Engineering, Dr. Yip’s research involves the use of molecular imaging to understand the self-assembly of proteins.
Heart disease is currently the leading cause of death in the United States, resulting in about 630,000 deaths every year according to the Center for Disease Control. One of the most common side effects of heart disease is damage to blood vessels and cardiac tissue, which can ultimately lead to conditions like high blood pressure, arrhythmia, and even cardiac arrest. In serious cases of irreversible heart damage, often the only option for patients is a full heart transplant, and efforts to engineer vascularized cardiac tissue grafts have proved challenging in research so far.
But researchers Ying Zheng, Ph.D., and Charles Murry, M.D., Ph.D., both of whom have joint appointments in Bioengineering at the University of Washington, have found success in using human microvascular grafts to create working blood vessels in vitro to treat infarcted rat hearts. The new heart muscle, developed from human embryonic stem cell-derived endothelial cells in petri dishes, was grown with a focus on not only being able to easily integrate it in vivo, but also in creating a patch of vasculature that closely mirrored that of the heart. In concentrating more on the mechanical aspects of the blood vessel network, Zheng and Murry were able to better restore normal blood flow to the damaged rat hearts after integration of the grafts. The study appears in a recent edition of Nature Communications.
Another team of bioengineers, led by Michael Sacks, Ph.D. at the University of Texas at Austin, recently invented a software-based method for repairing mitral valves in the heart. Their work, published in the International Journal for Numerical Methods in Biomedical Engineering, uses computational modeling techniques to create a noninvasive way of simulating repairs to the mitral valve, which will allow for a better prediction of surgical procedures and postoperative side effects on a more patient-specific basis. This ability to know which treatment plan may be best-suited for a given patient is important especially for valve repair, as heart valves are notoriously difficult to model or image due to the complexity of their functions. But through the use of advanced technology in 3D echocardiography, Sacks and his team say that their new model is accurate enough to rely on in clinical settings.
Virtual Reality Assists in the Evaluation of Surgery
Any form of surgery is always a high risk procedure, as it is subject to a wide variety of sources of human error and irregularity, even with the best surgeons. Certainly, there should be a system in place to not only continually assess the knowledge of surgeons throughout their careers, but also to evaluate their practices and techniques during operation. Such an evaluation, however, would put patients at risk during the assessment of the surgeon.
But now a team of researchers from Rensselaer Polytechnic Institute has developed a way of simulating colorectal surgical procedures using virtual reality technology. Suvranu De, Sc.D. — the J. Erik Jonsson ‘22 Distinguished Professor of Engineering and Head of the Department of Mechanical, Aerospace and Nuclear Engineering with joint appointments in Biomedical Engineering and Information Technology and Web Science —leads the project which incorporates both visual and tactile feedback for users to employ as a tool for both training and evaluating colorectal surgeons. While virtual reality simulators have been used for similar applications related to procedures like the colonoscopy, they have yet to be fully developed for open surgical procedures, because of the difficulties in creating a fully engaged and immersive environment. Nonetheless, De and his team hope that their work will lead to the creation of the first “Virtual Intelligent Preceptor,” which will allow for more advanced technological innovations in aspects of surgical education that have so far been difficult to standardize. Support for the project comes from the National Institute of Biomedical Imaging and Bioengineering (NBIB).
Penn BE’s Dr. Bassett on Understanding Knowledge Networks in the Brain
As a network neuroscientist, Danielle Bassett, Ph.D., Eduardo D. Glandt Faculty Fellow and Associate Professor in the Department Bioengineering, brings together insights from a variety of fields to understand how the brain’s connections form and change: mathematics, physics, electrical engineering and developmental biology, to name a few. Bassett’s recent work on the learning process also draws from linguistics, educational theory and other domains even further afield.
The intersection and interaction of knowledge from multiple sources doesn’t just describe Bassett’s methodology; it’s at the heart of her research itself. At the Society for Industrial and Applied Mathematics’ Annual Meeting last year, Bassett provided an address on how the structure of knowledge networks can influence what our brains can do when it comes to learning new things.
The field of bioengineering is constantly growing, and new programs are always in development. Boise State University has announced the launch of a new doctoral program in bioengineering that will begin in the fall of 2019. Developed through the collaboration of the university’s College of Health Sciences, College of Engineering, Graduate College, and College of Arts and Sciences, this new opportunity to do research in the field of bioengineering will have three study tracks available in biomechanics, mechanobiology, and human performance.
The new biomedical engineering department at the University of Massachusetts Amherst has announced the department’s first faculty appointments. The founding department head will be Professor Tammy L. Haut Donahue, Ph.D., whose research focus is on the biomechanics of the musculoskeletal system. Another professor joining the department’s new faculty is Seth W. Donahue, Ph.D., who has also done research in the field of biomechanics, and specifically how it pertains to tissue regeneration.
Since we last posted, there have also been several significant academic appointments in the field of Bioengineering. This week, we would like to congratulate Bruce Tromberg, Ph.D., on his appointment as the director of the National Institute of Biomedical Imaging and Bioengineering (NIBIB). Dr. Tromberg is currently a Professor with appointments in Biomedical Engineering and Surgery at the University of California at Irvine, where he leads research in bioimaging and biophotonics. He has also served on the External Advisory Board of NIH P41 Center for Magnetic Resonance and Optical Imaging here at Penn since 2009, and has also given several lectures here on his work in bioimaging.
Secondly, we congratulate the University of Toronto’s Professor Warren Chan, Ph.D., who was recently named as a Tier 1 Canada Research Chair in Nanobioengineering. Professor Chan, who is also the director of the Institute of Biomaterials and Biomedical Engineering at the University of Toronto, conducts research in the field of nanotechnology for applications in the treatment and diagnosis of cancer and viral diseases.
And finally, we also want to congratulate Frank Pintar, Ph.D., on his appointment as the Founding Chair of the Marquette University and Medical College of Wisconsin. Dr. Pintar’s research in bioengineering involves the study of the biomechanics involved with brain and spinal cord injury, with a focus on motor vehicle crash trauma.
Like many other fields, biomedical research is experiencing a data explosion. Some estimates suggest that the amount of data generated from the health sciences is now doubling every eighteen months, and experts expect it to double every seventy-three days by 2020. One challenge that researchers face is how to meaningfully analyze this data tsunami.
The challenge of interpreting data occurs at all scales, and a recent collaboration shows how new approaches can allow us to handle the volumes of data emerging at the level of individual cells to infer more about how biology “works” at this level. Wharton Statistics Department researchers Mo Huang and Jingshu Wang (PhD Student and Postdoctoral Researcher, respectively) collaborated with Arjun Raj’s lab in Bioengineering and published their findings in recent issues of Nature Methods and Proceedings of the National Academy of Sciences. One study focused on a de-noising technique called SAVER to provide more precise data from single cell experiments and significantly improves the ability to detect trends in a dataset, similar to how increasing sample size helps improve the ability to determine differences between experimental groups. The second method, termed DESCEND, creates more accurate characterization of gene expression that occur in individual cells. Together these two methods will improve data collection for biologists and medical professionals working to diagnose, monitor, and treat diseased cells.
Dr. Raj’s team contributed data to the cause and acted as consultants on the biological aspects of this research. Further collaboration involved Mingyao Li, PhD, Professor of Biostatistics at the Perelman School of Medicine, and Nancy Zhang, PD, Professor Statistics at the Wharton School. “We are so happy to have had the chance to work with Nancy and Mingyao on analyzing single cell data,” said Dr. Raj. “The things they were able to do with our data are pretty amazing and important for the field.”
Advancements in Biomaterials
This blog features many new biomaterials techniques and substances, and there are several exciting new developments to report this week. First, the journal of Nature Biomedical Engineering published a study announcing a new therapy to treat or even eliminate lung infections, such as those acquired while in hospital or as the result of cystic fibrosis, which are highly common and dangerous. Researchers identified and designed viruses to target and kill the bacteria which causes these infections, but the difficulty of administering them to patients has proven prohibitive. This new therapy, developed by researchers at the Georgia Institute of Technology, is administered as a dry powder directly to the lungs and bypasses many of the delivery problems appearing in past treatments. Further research on the safety of this method is required before clinical trials can begin.
A team at Harvard University published another recent study in Nature Biomedical Engineering announcing their creation of a tissue-engineered scale model of the left human heart ventricle. This model is made from degradable fibers that simulate the natural fibers of heart tissue. Lead investigator Professor Kevin Kit Parker, PhD, and his team eventually hope to build specific models culled from patient stem cells to replicate the features of that patient’s heart, complete with the patient’s unique DNA and any heart defects or diseases. This replica would allow researchers and clinicians to study and test various treatments before applying them to a specific patient.
Lastly, researchers at the Tufts University School of Engineering published in the Proceedings of the National Academy of Sciences on their creation of flexible magnetic composites that respond to light. This material is capable of macroscale motion and is extremely flexible, allowing its adaptation into a variety of substances such as sponges, film, and hydrogels. Author and graduate student Meg Li explained that this material differs from similar substances in its complexity; for example, in the ability for engineers to dictate specific movements, such as toward or away from the light source. Co-author Fiorenzo Omenetto, PhD, suggests that with further research, these movements could be controlled at even more specific and detailed levels.
CFPS: Getting Closer to “On Demand” Medicine
A recent and growing trend in medicine is the move towards personalized or “on demand” medicine, allowing for treatment customized to specific patients’ needs and situations. One leading method is Cell-Free Protein Synthesis (CFPS), a way of engineering cellular biology without using actual cells. CFPS is used to make substances such as medicine, vaccines, and chemicals in a sustainable and portable way. One instance if the rapid manufacture of insulin to treat diabetic patients. Given that many clinics most in need of such substances are found in remote and under-served locations far away from well-equipped hospitals and urban infrastructure, the ability to safely and quickly create and transport these vital substances to patients is vitally important.
The biggest limiting factor to CFPS is difficulty of replicating Glycosylation, a complex modification that most proteins undergo. Glycosylation is important for proteins to exert their biological function, and is very difficult to synthetically duplicate. Previously, achieving successful Glycosylation was a key barrier in CFPS. Fortunately, Matthew DeLisa, PhD, the Williams L. Lewis Professor of Engineering at Cornell University and Michael Jewett, PD, Associate Professor of Chemical and Biological Engineering at Northwestern University, have created a “single-pot” glycoprotein biosynthesis that allows them to make these critical molecules very quickly. The full study was recently published in NatureCommunications. With this new method, medicine is one step closer to being fully “on demand.”
People and Places
The Institute of Electrical and Electronics Engineers (IEEE) interviewed our own Penn faculty member Danielle Bassett, PhD, the Edwardo D. Glandt Faculty Fellow and Associate Professor in Bioengineering, for their website. Dr. Bassett, who shares a joint appointment with Electrical Systems Engineering (ESE) at Penn, has published groundbreaking research in Network Neuroscience, Complex Systems, and more. In the video interview (below), Dr. Bassett discusses current research trends in neuroscience and their applications in medicine.
Finally, a new partnership between Case Western Reserve University and Cleveland Clinic seeks to promote education and research in biomedical engineering in the Cleveland area. Cleveland Clinic Lerner Research Institute‘s Chair of Biomedical Engineering, Geoff Vince, PhD, sees this as an opportunity to capitalize on the renown of both institutions, building on the region’s already stellar reputation in the field of BME. Dozens of researchers from both institutions will have the opportunity to collaborate in a variety of disciplines and projects. In addition to professional academics and medical doctors, the leaders of this new partnership hope to create an atmosphere that can benefit all levels of education, all the way down to high school students.
Danielle S. Bassett, PhD, Eduardo D. Glandt Faculty Fellow and Associate Professor of Bioengineering at the University of Pennsylvania, has been named the 2018 recipient of the Erdős-Rényi Prize in Network Science by the Network Science Society (NetSci). NetSci has recognized Dr. Bassett for “fundamental contributions to our understanding of the network architecture of the human brain, its evolution over learning and development, and its alteration in neurological disease.” Dr. Bassett will receive the award and deliver a lecture on June 14 at the International Conference on Network Science in Paris. She is the seventh scientist and fourth American to receive the prize.
“Receiving the Erdos prize is a clear recognition from her colleagues that Dani is a true pioneer with many significant accomplishments to date and even more ahead of her,” says Bioengineering Chair Dave Meaney. “She is an amazing role model for all of us.”
The Erdős-Rényi Prize is awarded annually to a scientist younger than 40 years old for his/her achievements in the field of network science. It is named for the Hungarian mathematicians Paul Erdős, whose surname provided a measurement for research collaboration by academic mathematicians, and Alfréd Rényi, whose work focused on probability and graph theory. In network science, an Erdős-Rényi model is a model for generating random graphs. Dr. Bassett’s research applies the principles of network science in neuroscience, with the intention of understanding the brain better by modeling the networks and circuits of our most complex organ.
“I am thrilled and honored to receive this prestigious award,” Dr. Bassett says. “Network science is a true passion for me, and it is heartwarming to see my work, and that of my fantastic collaborators and brilliant students, acknowledged in this way.”