6 results on '"Pelesko, Julia"'
Search Results
2. A low-cost, open-source evolutionary bioreactor and its educational use.
- Author
-
GOPALAKRISHNAN, VISHHVAAN, CROZIER, DENA, CARD, KYLE J., CHICK, LACY D., KRISHNAN, NIKHIL P., MCCLURE, ERIN, PELESKO, JULIA, WILLIAMSON, DREW F. K., NICHOL, DANIEL, MANDAL, SOUMYAJIT, BONOMO, ROBERT A., and SCOTT, JACOB G.
- Published
- 2022
- Full Text
- View/download PDF
3. A Low-Cost, Open Source, Self-Contained Bacterial EVolutionary biorEactor (EVE)
- Author
-
Gopalakrishnan, Vishhvaan, Krishnan, Nikhil P., McClure, Erin, Pelesko, Julia, Crozier, Dena, Williamson, Drew F.K., Webster, Nathan, Ecker, Daniel, Nichol, Daniel, Mandal, Soumyajit, Bonomo, Robert A., and Scott, Jacob G
- Abstract
Recently, a concerted effort has been made to study the evolution of drug resistance in organisms at increasingly smaller time scales and in a high-throughput manner. One effective approach is through the use of customized bioreactors – devices that can continuously culture bacteria and monitor this growth in real time. These devices can be technically challenging and expensive to implement for scientists, let alone students or teachers who seek an innovative and intuitive way of studying evolution. We seek to provide a flexible and open source automated continuous culture device framework for the academic setting to study biological concepts such as population dynamics and evolution; a framework that is capable of replicating the functionality of many prominent and expensive bioreactors in the market today. Within the educational environment, our goal is to foster interaction and interest between the engineering and biological fields by allowing teachers and students to build their own systems and design experiments on the proposed open framework. We present a continuous culture device designed for bacterial culture that is easily and inexpensively constructed, lends itself to evolution experiments, and can be used both in the academic and educational environments. Author summary The continuous monitoring of population growth in the presence of cytotoxic selective pressures can reveal new insights into resistance development and corresponding susceptibilities. Bioreactors have been proposed to accomplish this task yet are costly and without formal build instructions or software. In this article, we present a framework for a bioreactor, called the EVolutionary biorEactor (EVE), that will enable users to economically implement hardware and create circuits through diagrams. Hardware communicates with open-source software, written in Python, to create a flexible yet fully featured bioreactor that incorporates many modes of operation. A single EVE controls many Culture Units simultaneously, each with the capability of running its own experiment or a replicate of the same experiment to measure stochastic differences during evolution. While currently built for bacterial culture, this framework can be adapted in many ways from continuous mammalian cell culture to the measurement of multi-population dynamics in various environments. In the educational setting, this easy-to-implement framework will enable educators to use a hands-on approach to evolution in their lessons and extracurricular activities. For scientists, we propose this open framework as a tool that can be used and modified to investigate new areas in population dynamics and evolution.
- Published
- 2019
- Full Text
- View/download PDF
4. UV-C tower for point-of-care decontamination of filtering facepiece respirators.
- Author
-
Kayani, Badar J., Weaver, Davis T., Gopalakrishnan, Vishhvaan, King, Eshan S., Dolson, Emily, Krishnan, Nikhil, Pelesko, Julia, Scott, Michael J., Hitomi, Masahiro, Cadnum, Jennifer L., Li, Daniel F., Donskey, Curtis J., Scott, Jacob G., and Charnas, Ian
- Abstract
• This device reliably delivers germicidal doses of UV radiation in one minute. • This work meets a major need for small, point-of-care devices for FFR decontamination. • This short time should allow providers to incorporate decontamination of FFR into a normal donning and doffing routine following patient encounters. Filtering facepiece respirators (FFR) are critical for protecting essential personnel and limiting the spread of disease. Due to the current COVID-19 pandemic, FFR supplies are dwindling in many health systems, necessitating re-use of potentially contaminated FFR. Multiple decontamination solutions have been developed to meet this pressing need, including systems designed for bulk decontamination of FFR using vaporous hydrogen peroxide or ultraviolet-C (UV-C) radiation. However, the large scale on which these devices operate may not be logistically practical for small or rural health care settings or for ad hoc use at points-of-care. Here, we present the Synchronous UV Decontamination System, a novel device for rapidly deployable, point-of-care decontamination using UV-C germicidal irradiation. We designed a compact, easy-to-use device capable of delivering over 2 J cm2 of UV-C radiation in one minute. We experimentally tested Synchronous UV Decontamination System' microbicidal capacity and found that it eliminates near all virus from the surface of tested FFRs, with less efficacy against pathogens embedded in the inner layers of the masks. This short decontamination time should enable care-providers to incorporate decontamination of FFR into a normal donning and doffing routine following patient encounters. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
5. UV decontamination of personal protective equipment with idle laboratory biosafety cabinets during the COVID-19 pandemic.
- Author
-
Weaver DT, McElvany BD, Gopalakrishnan V, Card KJ, Crozier D, Dhawan A, Dinh MN, Dolson E, Farrokhian N, Hitomi M, Ho E, Jagdish T, King ES, Cadnum JL, Donskey CJ, Krishnan N, Kuzmin G, Li J, Maltas J, Mo J, Pelesko J, Scarborough JA, Sedor G, Tian E, An GC, Diehl SA, and Scott JG
- Subjects
- COVID-19 transmission, COVID-19 virology, Dose-Response Relationship, Radiation, Equipment Reuse, Health Personnel education, Humans, Laboratories organization & administration, Masks virology, N95 Respirators virology, Radiometry statistics & numerical data, SARS-CoV-2 pathogenicity, SARS-CoV-2 physiology, COVID-19 prevention & control, Containment of Biohazards methods, Decontamination methods, Pandemics, SARS-CoV-2 radiation effects, Ultraviolet Rays
- Abstract
Personal protective equipment (PPE) is crucially important to the safety of both patients and medical personnel, particularly in the event of an infectious pandemic. As the incidence of Coronavirus Disease 2019 (COVID-19) increases exponentially in the United States and many parts of the world, healthcare provider demand for these necessities is currently outpacing supply. In the midst of the current pandemic, there has been a concerted effort to identify viable ways to conserve PPE, including decontamination after use. In this study, we outline a procedure by which PPE may be decontaminated using ultraviolet (UV) radiation in biosafety cabinets (BSCs), a common element of many academic, public health, and hospital laboratories. According to the literature, effective decontamination of N95 respirator masks or surgical masks requires UV-C doses of greater than 1 Jcm-2, which was achieved after 4.3 hours per side when placing the N95 at the bottom of the BSCs tested in this study. We then demonstrated complete inactivation of the human coronavirus NL63 on N95 mask material after 15 minutes of UV-C exposure at 61 cm (232 μWcm-2). Our results provide support to healthcare organizations looking for methods to extend their reserves of PPE., Competing Interests: JGS, the senior author, has, subsequent to this research, led a related patent for a UV decontamination device (PCT/US2021/022771, led march 17, 2021: \Decontam-ination System"). This does not alter our adherence to all PLOS ONE policies on sharing data and materials, and in fact, the patent was a reaction to this work, and so therefore was entirely performed subsequently to this research. Further, beyond the fact that the patent is for a UV-C decontamination chamber, it has little to do with this research.
- Published
- 2021
- Full Text
- View/download PDF
6. The 2019 mathematical oncology roadmap.
- Author
-
Rockne RC, Hawkins-Daarud A, Swanson KR, Sluka JP, Glazier JA, Macklin P, Hormuth DA, Jarrett AM, Lima EABF, Tinsley Oden J, Biros G, Yankeelov TE, Curtius K, Al Bakir I, Wodarz D, Komarova N, Aparicio L, Bordyuh M, Rabadan R, Finley SD, Enderling H, Caudell J, Moros EG, Anderson ARA, Gatenby RA, Kaznatcheev A, Jeavons P, Krishnan N, Pelesko J, Wadhwa RR, Yoon N, Nichol D, Marusyk A, Hinczewski M, and Scott JG
- Subjects
- Computational Biology, Computer Simulation, Humans, Models, Biological, Models, Theoretical, Neoplasms diagnosis, Neoplasms therapy, Single-Cell Analysis methods, Mathematics methods, Medical Oncology methods, Systems Biology methods
- Abstract
Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology, Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is no denying that mathematics continues to play an increasingly prominent role in cancer research. Mathematical Oncology-defined here simply as the use of mathematics in cancer research-complements and overlaps with a number of other fields that rely on mathematics as a core methodology. As a result, Mathematical Oncology has a broad scope, ranging from theoretical studies to clinical trials designed with mathematical models. This Roadmap differentiates Mathematical Oncology from related fields and demonstrates specific areas of focus within this unique field of research. The dominant theme of this Roadmap is the personalization of medicine through mathematics, modelling, and simulation. This is achieved through the use of patient-specific clinical data to: develop individualized screening strategies to detect cancer earlier; make predictions of response to therapy; design adaptive, patient-specific treatment plans to overcome therapy resistance; and establish domain-specific standards to share model predictions and to make models and simulations reproducible. The cover art for this Roadmap was chosen as an apt metaphor for the beautiful, strange, and evolving relationship between mathematics and cancer.
- Published
- 2019
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.