Use the Following to Answer Questions
the Following Microarray $\bullet$

question 63

Multiple Choice

Use the following to answer questions
The following microarray data are shown for four human genes. Two samples were hybridized to the microarray in this experiment. One sample was cDNA generated from mRNA of a tissue culture cell line that was originally derived from a B-cell leukemia. The other sample was cDNA generated from normal, mature neural tissue.
$\bullet$ Vertical stripes mean hybridization to cancerous B-cell cDNA only.
$\bullet$ Horizontal stripes mean hybridization to normal neural cell cDNA only.
$\bullet$ Completely filled in means hybridization to both cDNA types.
$\bullet$ Blank means hybridization to neither cell's cDNA.
-The gene sequences contained in spot 2 are present only in the B-cell cancer sample. What is a possible function for this gene, based on the microarray data?

• A) This gene may be involved in neurotransmitter release at the synapse since B-cells are known to be involved in cell-to-cell signaling.
• B) This gene may be involved in activating cell growth, so it is switched on in the cancer cell line that is growing rapidly.
• C) This gene is involved in the immune function of the B-cell since that is the cell type from which this cancer line was initially derived.
• D) This gene may be involved in neurotransmitter release at the synapse or in activating cell growth.
• E) This gene may be involved in activating cell growth or in the immune function of the B-cell.

Comprehend the accounting methods (deferred contribution and restricted fund method) for contributions and investment income in not-for-profit organizations.

Recognize how donated goods and capital assets should be accounted for in financial statements.

Understand how endowment contributions and their investment income are presented and used within financial statements.

Recognize the financial reporting requirements and options available to Canadian private not-for-profit organizations.

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Definitions:

Linear Regression Equation

The linear regression equation is a mathematical formula used to predict the value of a dependent variable based on one or more independent variables, following a linear relationship.

Slope

In mathematics, the steepness or incline of a line, indicating the rate of change between two variables.

Intercept

In the context of a linear equation, the value at which the line crosses the y-axis when all independent variables are set to zero.

Linear Regression Equation

An equation that describes the relationship between a dependent variable and one or more independent variables using a straight line.