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Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
Utilizing Fluorescence Microscopy To Characterize The Subcellular Distribution Of The Novel Protein Acheron, Varun Sheel
Utilizing Fluorescence Microscopy To Characterize The Subcellular Distribution Of The Novel Protein Acheron, Varun Sheel
Masters Theses
All cells carry the genetic machinery required to commit cell suicide; a process known as programmed cell death (PCD). While the ability to initiate PCD serves a number of useful purposes during development and homeostasis, misregulation of PCD is the underlying basis of most human diseases, including cancer, autoimmunity disorders and neurodegeneration. Using the tobacco hawkmoth Manduca sexta as a model organism, the Schwartz lab at UMass has demonstrated that PCD requires de novo gene expression and has cloned many death-associated genes. One of these genes encodes a novel protein that was named Acheron after one of the rivers of …
Substrate Selection In Endoplasmic Reticulum Protein Quality Control, Ben Adams
Substrate Selection In Endoplasmic Reticulum Protein Quality Control, Ben Adams
Doctoral Dissertations
Protein folding and maturation is a complex and error-prone process. Errors in this process may lead to deleterious effects ranging from non-functional single proteins to large-scale protein aggregation leading to cell death. It is essential for cellular function that protein misfolding does not occur unchecked, and therefore numerous chaperone systems exist within the cell. For the thousands of proteins which traffic through the secretory pathway, the primary site of folding and maturation is the endoplasmic reticulum (ER). Multiple chaperone pathways within the ER, generally termed ER protein quality control, must support the proper maturation process of these thousands of substrates. …
Investigating Optimal Chemotherapy Options For Osteosarcoma Patients Through A Mathematical Model, Trang M. Le, Sumeyye Su, Leili Shahriyari
Investigating Optimal Chemotherapy Options For Osteosarcoma Patients Through A Mathematical Model, Trang M. Le, Sumeyye Su, Leili Shahriyari
Mathematics and Statistics Department Faculty Publication Series
Since all tumors are unique, they may respond differently to the same treatments. Therefore, it is necessary to study their characteristics individually to find their best treatment options. We built a mathematical model for the interactions between the most common chemotherapy drugs and the osteosarcoma microenvironments of three clusters of tumors with unique immune profiles. We then investigated the effects of chemotherapy with different treatment regimens and various treatment start times on the behaviors of immune and cancer cells in each cluster. Saliently, we suggest the optimal drug dosages for the tumors in each cluster. The results show that abundances …