Open Collections

Hofmann, Analise Katrina

University of British Columbia

Endoplasmic reticulum-plasma membrane (ER-PM) contact sites play an important role in maintaining homeostasis in cells. Using the yeast GFP collection, containing 4,000 tagged proteins, images of wild-type (WT) Saccharomyces cerevisiae (yeast) cells and yeast cells lacking the ER-PM tether protein Scs2 were collected using high-throughput microscopy. The images from each GFP screen were then classified and scored for 22 cellular localization categories by the DeepLoc algorithm. All localization scores for each GFP tagged protein were compared between the two screens to detect protein localization changes at the proteome level. As the location of the ER is drastically different in cells lacking Scs2 a large number of changes were expected. Proteins known to change localization in the absence of Scs2 and those predicted to bind Scs2 were used to validate the experiment. Proteins related to PM such as Eisosome proteins, other ER tether proteins, the Vacuolar-ATPase complex and more were found to change localization, and a general increase of cytoplasmic signal was detected in Δscs2 cells. Biology students often talk about how math is hard, and avoid it despite the fact that large data is increasingly permeating biology making it harder to avoid the use of mathematical tools in biology. This work aimed to compare the attitudes of third year biology students towards their discipline of biology and the discipline of math. Attitude surveys were developed to track students’ progress towards more expert-like thinking in a discipline, students answered both a biology and a math attitudes survey. Unsurprisingly, the biology students had higher attitudes towards biology than math, as well as their final course grades for their biology lab course were most correlated with their biology attitudes. The attitude scores of these students fell between scores collected on first- and fourth-year biology students.

Text; Dataset

2024-08-19

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/88967

Genome Science and Technology

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/