For almost any conceivable protein, corresponding antibodies can be developed to block it from binding or changing shape, which ultimately prevents it from carrying out its normal function. As such, scientists have looked to antibodies as a way of shutting down proteins inside cells for decades, but there is still no consistent way to get them past the cell membrane in meaningful numbers.
Now, Penn Engineering researchers have figured out a way for antibodies to hitch a ride with transfection agents, positively charged bubbles of fat that biologists routinely use to transport DNA and RNA into cells. These delivery vehicles only accept cargo with a highly negative charge, a quality that nucleic acids have but antibodies lack. By designing a negatively charged amino acid chain that can be attached to any antibody without disrupting its function, they have made antibodies broadly compatible with common transfection agents.
Beyond the technique’s usefulness towards studying intracellular dynamics, the researchers conducted functional experiments with antibodies that highlight the technique’s potential for therapeutic applications. One antibody blocked a protein that decreases the efficacy of certain drugs by prematurely ejecting them from cells. Another blocked a protein involved in the transcription process, which could be an even more fundamental way of knocking out proteins with unwanted effects.
DNA Microscopy Gives a Better Look at Cell and Tissue Organization
A new technique that researchers from the Broad Institute of MIT and Harvard University are calling DNA microscopy could help map cells for better understanding of genetic and molecular complexities. Joshua Weinstein, Ph.D., a postdoctoral associate at the Broad Institute, who is also an alumnus of Penn’s Physics and Biophysics department and former student in Penn Bioengineering Professor Ravi Radhakrishnan’s lab, is the first author of this paper on optics-free imaging published in Cell.
The primary goal of the study was to find a way of improving analysis of the spatial organization of cells and tissues in terms of their molecules like DNA and RNA. The DNA microscopy method that Weinstein and his team designed involves first tagging DNA, and allowing the DNA to replicate with those tags, which eventually creates a cloud of sorts that diffuses throughout the cell. The DNA tags subsequent interactions with molecules throughout the cell allowed Weinstein and his team to calculate the locations of those molecules within the cell using basic lab equipment. While the researchers on this project focused their application of DNA microscopy on tracking human cancer cells through RNA tags, this new method opens the door to future study of any condition in which the organization of cells is important.
Penn Engineers Demonstrate Superstrong, Reversible Adhesive that Works like Snail Slime
If you’ve ever pressed a picture-hanging strip onto the wall only to realize it’s slightly off-center, you know the disappointment behind adhesion as we typically experience it: it may be strong, but it’s mostly irreversible. While you can un-stick the used strip from the wall, you can’t turn its stickiness back on to adjust its placement; you have to start over with a new strip or tolerate your mistake. Beyond its relevance to interior decorating, durable, reversible adhesion could allow for reusable envelopes, gravity-defying boots, and more heavy-duty industrial applications like car assembly.
Such adhesion has eluded scientists for years but is naturally found in snail slime. A snail’s epiphragm — a slimy layer of moisture that can harden to protect its body from dryness — allows the snail to cement itself in place for long periods of time, making it the ultimate model in adhesion that can be switched on and off as needed. In a new study, Penn Engineers demonstrate a strong, reversible adhesive that uses the same mechanisms that snails do.
Low-Dose Radiation CT Scans Could Be Improved by Machine Learning
Machine learning is a type of artificial intelligence growing more and more popular for applications in bioengineering and therapeutics. Based on learning from patterns in a way similar to the way we do as humans, machine learning is the study of statistical models that can perform specific tasks without explicit instructions. Now, researchers at Rensselaer Polytechnic Institute (RPI) want to use these kinds of models in computerized tomography (CT) scanning by lowering radiation dosage and improving imaging techniques.
A recent paper published in Nature Machine Intelligence details the use of modularized neural networks in low-dose CT scans by RPI bioengineering faculty member Ge Wang, Ph.D., and his lab. Since decreasing the amount of radiation used in a scan will also decrease the quality of the final image, Wang and his team focused on a more optimized approach of image reconstruction with machine learning, so that as little data as possible would be altered or lost in the reconstruction. When tested on CT scans from Massachusetts General Hospital and compared to current image reconstruction methods for the scans, Wang and his team’s method performed just as well if not better than scans performed without the use of machine learning, giving promise to future improvements in low-dose CT scans.
A Mind-Controlled Robotic Arm That Requires No Implants
A new mind-controlled robotic arm designed by researchers at Carnegie Mellon University is the first successful noninvasive brain-computer interface (BCI) of its kind. While BCIs have been around for a while now, this new design from the lab of Bin He, Ph.D., a Trustee Professor and the Department Head of Biomedical Engineering at CMU, hopes to eliminate the brain implant that most interfaces currently use. The key to doing this isn’t in trying to replace the implants with noninvasive sensors, but in improving noisy EEG signals through machine learning, neural decoding, and neural imaging. Paired with increased user engagement and training for the new device, He and his team demonstrated that their design enhanced continuous tracking of a target on a computer screen by 500% when compared to typical noninvasive BCIs. He and his team hope that their innovation will help make BCIs more accessible to the patients that need them by reducing the cost and risk of a surgical implant while also improving interface performance.
KIChE is an organization that aims “to promote constructive and mutually beneficial interactions among Korean Chemical Engineers in the U.S. and facilitate international collaboration between engineers in U.S. and Korea.”
We would also like to congratulate Natalia Trayanova, Ph.D., of the Department of Biomedical Engineering at Johns Hopkins University on being inducted into the Women in Tech International (WITI) Hall of Fame. Beginning in 1996, the Hall of Fame recognizes significant contributions to science and technology from women. Trayanova’s research specializes in computational cardiology with a focus on virtual heart models for the study of individualized heart irregularities in patients. Her research helps to improve treatment plans for patients with cardiac problems by creating virtual simulations that help reduce uncertainty in either diagnosis or courses of therapy.
As different as muscle, blood, brain and skin cells are from one another, they all share the same DNA. Stem cells’ transformation into these specialized cells — a process called cell fate determination — is controlled through various signals from their surroundings.
A recent Penn Engineering study suggests that cells may have more control over their fate than previously thought.
Jason Burdick, Robert D. Bent Professor of Bioengineering, and Claudia Loebel, a postdoctoral researcher in his lab, led the study. Robert Mauck, Mary Black Ralston Professor for Education and Research in Orthopaedic Surgery at Penn’s Perelman School of Medicine, also contributed to the research.
Since Watson and Crick published their initial studies detailing the double helix structure of DNA in the early 1960s, what we know about genetics and the nucleic acids underlying them has grown enormously. Consequently, what bioengineering can do with DNA and genes continually expands.
One fascinating bioengineering field that emerged in the past decade was DNA origami, which uses the well-established binding across DNA elements to create three-dimensional structures out of linear DNA sequences. Recent work has utilized this feature of DNA construction to make machines, rather than just parts, out of DNA.
Yonggang Ke, Ph.D., of Georgia Tech/Emory’s Department of Biomedical Engineering, constructed machines made of DNA that consist of arrays of units that can “switch” between “settings” by changing shape. A change in shape of one unit of an array can cause the other units in the array to shift; these changes are stimulated by inserting a previously deleted strand of DNA into the array. Although it has been known for some time that DNA could be used to store and transmit information, Dr. Ke’s research team proved for the first time that these arrays could be shaped physically into machines in the shapes of rectangles and tubes.
While we learn more about how to make DNA-based devices, we are also creating new technologies to manipulate DNA more rapidly. Scientists at Rutgers and Harvard developed a process whereby thousands of genes could be cloned at one time to create enormous libraries of proteins. To achieve this goal, the authors used a technology called LASSO (long-adapter single-strand oligonucleotide) probes, which they have already used to clone a library using a human microbiome sample.
Instead of the traditional process of cloning one gene at a time, the team led by Professor Biju Parekkadan, Ph.D. at Rutgers, invented a technology to clone hundred of genes simultaneously. These cloned DNA segments are much longer than the length of DNA cloned with standard techniques, allowing us to test the functional significance of these much longer DNA segments. The technology could impact a number of scientific fields because we will finally learn how long stretches of protein function — some parts may degrade other proteins, while other parts will interact and modify other proteins (e.g., phosphorylation, a key process in epigenetics). These new discoveries can be key for discovering new ways to engineer proteins and to manufacture new drugs that mimic the function of nature’s DNA products.
Using Sweat as a Biosensor
While the field learns more about the molecular-level control of DNA, we are also taking advantage of new micro- and nanoscale manufacturing processes to capture diagnostic information from easily accessible body fluids. Many clinical diagnostics use chemical measurements from blood to diagnose a disease or to take corrective action. This is not an ideal procedure because it requires either the collection of blood at a laboratory or the repeated collection of small blood volumes through a pinprick. Either one hurts.
Bioengineers at the University of Texas at Dallas developed a wearable diagnostic device to detect cortisol, glucose, and IL-6 in body sweat, eliminating any painful needle sticks. Its transmissions vary, but if optimized, the device could replace the painful and inconvenient practice of sticking one’s finger to obtain a drop of blood for glucose testing, which many patients with diabetes must do several times per day. Although insulin pumps have been available for some time, these are invasive devices that must be worn at all times.