What Is Canonical Correlation Analysis

Purpose: The purpose of this lab was to calculate the amount of time that was spent by a cell in each of the phases of mitosis. Also, it is used to be able to compare the process of mitosis between plant and animal cells.

The guiding question relates to our background info because in order to know the effect the different solution had on the cell size we had to know our terminology, which was included in the background information. Section2: For this lab we had to follow certain procedures.

Drug forecasting is a very important and essential process for any drug for multiple reasons:

I think the cell from NPC would look like clusters of bumps attacking the smooth Endoplasmic Reticulum

b)What stain might you use to determine whether certain cells had been structurally altered rather than destroyed (e.g. changes in dendritic number, length, etc.)?

Three wells where eliminated from the experiment, because a vehicle control was not needed for this experiment. Images where then taken of the 9 wells, with the use of phase-contrast microscope, these photos were labeled (T0). After the images where obtained, the well-plate was placed back into the tissue culture hood, and the wells where treated with different treatments, so the effects could be observed. In row “A” contained the HepG2 cells by themselves, no treatment was added. Row “B” contained the HepG2 cells and 4.5µl of Ceramide, which was labeled as the positive control, and finally in row “C” the wells contained our HepG2 cells and the compound Epigallocatechin Gallate. The well was then placed back into the cell culture incubator for 24 hours. Following the incubation, photos where taken using the same phase-contrast microscope and the same area of each scratch, these photos are labeled (Tf). The before and after photos of the scratch are then used to figure out the percent wound closure, which determines the cell migration. In order to calculate the percent closure, the following equation was used; Percent closure=width of Tf box/width of the T0

in comparison to other cells51. One way of looking at this is to explore the difference in terms

One of the major things that we studied in the lab was using myoblast, which is also a muscle precursor who can differentiate with the proper signal which helps with differentiated cells. Myosin light chain was a major role when they came with muscle contraction within the culture cells that were placed in the differentiation media. My partner and I did this experiment by following the protocol which helped us properly assess the myosin light chain. Some of the procedures included harvesting and culturing the cells as well as extracting the cells and using SDS page and for analysis, we used Western blot. Based on what we observed during this experiment, we noticed that the myosin light chain could be found in both the growth media and differentiation. In the other samples, there was no myosin light chain. This shows that myosin light chain can detect the differentiated cells. We noticed that the myosin light chain was around 25 kDa molecular weight marker.

Cell interactions play an important role in cancer progression and my research aims to learn more about how cells interact. I am studying embryo development in C. elegans since this is a time when cells normally interact and move to make sure they are in the correct part of the embryo for normal development. Since known cell adhesion factors do not appear to be solely responsible for cell interactions during development, I am hoping to identify novel genes cell interaction genes by screening for mutants where cells move to the wrong part of the embryo during development. I am observing cells that will develop to form two different tissue types, pharynx and body muscles. To increase the chance of observing mutant interactions, I am using

The definition of cell growth is an increase in cell population. The cell cycle and regulation points monitor cell growth after each stage, and an alteration in the cycle results in transformed cells. These cells differ from normal cells, because they have an infinite life span due to the evolution of them being stronger, hence the term “survival of

Tissir, F., & Goffinet, A. M. (2013). Shaping the nervous system: Role of the core planar cell polarity genes. Nature Reviews Neuroscience, 14(8), 525-535.

When cell populations are used to form tissues and organs, proper 3D systems, with clinically relevant dimensions, are required to eventually scale up these findings into effective new treatments. 6

the changes occurring in soma of the cell with damaged axons (Cowan, 1998). This technique was very useful for mapping distribution, but not for distinguishing the stained cells, since the soma size of some cells (e.g. in retina) is almost the same (Morgan et al., 2005).

Even cells that have been shown to sense mechanical forces (e.g, apical fluid shear) through changes in the specific activities as a result of stress-induced deformation at the apical surface, respond differently to the same mechanical stimulus depending on the deformation at the basal surface (106). Thus the physiologic response of the cell to any mechanical stress is governed by the physical state of the whole cell, and not by changes in any single signaling molecules. This cellular mechano-sensing and corresponding responsiveness of a cell firstly governed by the stress imposed on it specifically at the surface. In most of the mechanotransduction studies, the descriptions of the imposed force amplitude are grossly mentioned (like…). But the force variations include magnitudal and vectorial changes at sub-cellular surface due to heterogeneous surface physical/rheological properties (surface topology, fluidity and stiffness), which actually govern the spatial activation of the biochemical signal are overlooked. In fact, the determination of spatial surface stress map is very necessary for interpreting any type of cellular response that made by mechanical force. Thus, before analysis of the mechanotransduction, in this chapter, we first computationally determined the cell surface shear stress map using the cell surface topology information obtained by AFM. This stress map further can explain the related spatial cellular activity as cellular deformation more

The "All Profiles" column shows the performance using all of the profiles in the repository (minus the query profile). The "SS" is abbreviation of \textit{Set of Similar Profiles} and shows the performance using just the set of similar profiles (minus the query profile). Our proposed stepwise subset selection approach substantially improves the prediction of cell morphological alterations from transcriptomic changes. The percentile column shows the 5- and 95-percentiles for the $CMs$ changes in response to the perturbation with 9515 compounds. The distribution of $CM$ changes across major percentiles do not effect the ability of a procedure to identify cell morphological changes based on transcriptomic changes.