Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Aerospace Engineering (1)
- Amino Acids, Peptides, and Proteins (1)
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Chemicals and Drugs (1)
- Computational Biology (1)
-
- Computer Sciences (1)
- Data Science (1)
- Engineering (1)
- Equipment and Supplies (1)
- Food Biotechnology (1)
- Food Processing (1)
- Food Science (1)
- Genetics (1)
- Genetics and Genomics (1)
- Medicine and Health Sciences (1)
- Physical Sciences and Mathematics (1)
- Space Habitation and Life Support (1)
- Theory and Algorithms (1)
- Therapeutics (1)
Articles 1 - 3 of 3
Full-Text Articles in Biotechnology
Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch
Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch
Graduate Industrial Research Symposium
Bovine IgG diffusion measurement by tracking the movement of the protein over time in an in-vitro matrix is motivated by the large number of protein/peptide therapeutics currently under various stages of development in the pharmaceutical industry. Many of these therapeutics are monoclonal antibodies (IgG type proteins) that are candidates for subcutaneous, intra-vitreous and intra-articular administration depending on the target of the therapeutic. Hyaluronic acid (HA) is a major constituent and determines the key attributes of the subcutaneous environment, vitreous humor of the eye and synovial fluid of the knee joint. HA exhibits varying molecular weight at these anatomic locations thereby …
A Machine Learning Model Of Perturb-Seq Data For Use In Space Flight Gene Expression Profile Analysis, Liam F. Johnson, James Casaletto, Lauren Sanders, Sylvain Costes
A Machine Learning Model Of Perturb-Seq Data For Use In Space Flight Gene Expression Profile Analysis, Liam F. Johnson, James Casaletto, Lauren Sanders, Sylvain Costes
Graduate Industrial Research Symposium
The genetic perturbations caused by spaceflight on biological systems tend to have a system-wide effect which is often difficult to deconvolute it into individual signals with specific points of origin. Single cell multi-omic data can provide a profile of the perturbational effects, but does not necessarily indicate the initial point of interference within the network. The objective of this project is to take advantage of large scale and genome-wide perturbational datasets by using them to train a tuned machine learning model that is capable of predicting the effects of unseen perturbations in new data. Perturb-Seq datasets are large libraries of …
Mushrooom Production Without Solid Substrates, Alexander Baena, Marshall Porterfield
Mushrooom Production Without Solid Substrates, Alexander Baena, Marshall Porterfield
Graduate Industrial Research Symposium
Novel biotechnological approaches are needed to enhance renewable food production and waste recycling capabilities in resource-constrained environments. Edible mushrooms possess nutritious profiles and represent emerging opportunities to develop circular bioproduction by transforming waste organic materials into food and high-value products. However, traditional mushroom cultivation methods utilizing solid substrates have technical limitations like 1) uneven nutrient diffusion, 2) constant sterilization needs, 3) numerous intermediate steps that are energy and time-demanding, and 4) waste production from bags and jars. This work introduces an innovative hydroponic fungal cultivation system called Mycoponics™ using bioengineered ceramic materials. This liquid-nutrient-based technique optimizes fungal metabolism and facilitates …