Skip to main content

Ariel Tao - Week 3

The third week of my lab started with a testing with Elizabeth at a participant’s house. Testing was something that I always wanted to do since learning about this lab in the late fall. When I skyped with my lab PI and graduate student in December, I was told that most of the testing would be done in March, and I might only have a few leftovers to finish with a research assistant. Thus coming into the lab, I had three testing to go to. The first one was last Sunday at 12. My undergrad student Elizabeth drove an hour to get to the participant’s house, where a pair of twins and their parents welcomed us. I watched Elizabeth set up equipment (a lab laptop for the flanker test, a think binder for other cognitive tests, and a recorder). Then I sat and watched kids to play games that were designed to be cognitive tests. On Wednesday, Elizabeth and I went to a sketchy neighborhood for testing. The participant and her family were very kind to us as well, and I look forward to my last testing on this Sunday.
For data analysis, I continued to use SPSS to do analysis of variance for comparing kindergarten and first grade data. I found that there were no strong significance of ensemble music treatment to better performance in cognitive tests such as dot counting, category fluency, and reverse digit span. However, for tasks that involved children’s choice on scales of cognitive competence, school liking, and self-perception, I observed significant differences between the treatment group and the control group. I will talk to my PI and graduate student more about this observation in the coming week.


Comments

Popular posts from this blog

Kylie Heering, Week 2 at the Goldstein Lab

We started off our week with a congratulatory acai bowl trip to celebrate Preston’s acceptance into a training grant program. Acai bowls in California top Playa Bowls (no question about it). From what I can tell, its a pretty huge honor to be recognized by this grant, but he’s really humble about it. On Monday, Preston and I decided that testing antibodies that have never been tested on prostate epithelial cells before would be a good objective for my first Western blot on my own. We needed to probe for ASCT2, a glutamine transporter, and GLS in order to determine if their corresponding antibodies are functional. Antibodies are crucial for Western blots because they bind to the protein of interest (POI), allowing for us to qualify its expression after imaging. As such, Preston wanted to make sure they worked by probing for ASCT2 and GLS on three different cell lines. Cell lines are commercially purchased human cells that have been immortalized (modified to grow indefinitely) by telome...

Alan - First Week at UCSF

Hi Everyone! After arriving in San Francisco last Sunday, I spent this past week settling into the downtown Berkeley apartment that I’ll be sharing with Rohit for the next couple of months, as well as learning my way around the Roy lab at UCSF. First day at the lab was really exciting. Here are a couple pictures of the Mission Bay campus, which was completed just a few years ago. Everything is super new and modern, and there’s still construction for other buildings going on around the campus. Most of the people who work at the Mission Bay campus are either professional researchers or doctors/nurses for the nearby hospital. The graduate students take most of their classes at the original Parnassus campus (where Maya is). I work in Byers Hall, which is connected to Genentech Hall and a short walk down the block from the shuttle stop. There are three other volunteers working for the Roy lab this summer – Kimmai, David, and Pujita, who are all undergrad college students...

Jaewon Oh - Week 7 and 8

Finally done here with my experience and I wish I had more time keep researching so that I have something a little more "finalised" to present. But I guess that's what past EXP kids meant when they said that 8 weeks of research is not enough and I'll have to work with what I've got. To solve the problem of not having enough data points, we used the online TCGA database for raw data that would be used to calculate mutation rates. Mutation rates were calculated through an R coding script that Dr. Cannataro had made. Because the mutation rates were tumor specific, we had to change the proportions that were obtained from the IARC database using data from another database called cBioPortal. Basically we had to multiply the number of times a certain variant was seen in the IARC database by the percentage of tumors that have a tp53 mutation, because our mutation rates are calculated across all tumors in specific cancers (confusing, I know). After graphing the mutatio...