---
author: Sam White
toc-title: Contents
toc-depth: 5
toc-location: left
layout: post
title: qPCR Analysis - C.gigas Matt George Poly:IC Diploids
date: '2023-08-22 18:56'
tags:
- qPCR
- CFX Connect
- Crassostrea gigas
- diploid
- Pacific oyster
categories:
- 2023
- Miscellaneous
---
Ran a "quick and dirty" qPCR analysis for the qPCR's I'd previously run:
- [20230726](https://robertslab.github.io/sams-notebook/posts/2023/2023-07-26-qPCR---C.gigas-polyIC/)
- [20230817](https://robertslab.github.io/sams-notebook/posts/2023/2023-08-17-qPCR---C.gigas-PolyIC-Diploid-MgCl2/)
All analyses are documented in the following R Project:
- [20230822-cgig-polyIC-qPCR](https://github.com/RobertsLab/code/tree/master/r_projects/sam/20230822-cgig-polyIC-qPCR) (GitHub)
Here's a brief overview of what was done:
1. Select only diploid samples (currently, only have control/injected groups for diploids - not triploids)
2. Normalize to actin by calculating delta Cq.
- This was done for the sake of time. Actin and GAPDH (the other normalizing gene run) shows evidence of a treatment effect. Actin was selected over GAPDH due to smaller range between mean Cqs of Control/Injected.
3. Run t-test to determine p-values between control/injected withing each actin-normalized gene.
4. Box plot all delta Cq values.
5. Calculate 2^(-delta delta Cq) (subtract Control delta Cq from Injected delta Cq) to determine fold change in expression for each gene.
6. Plot fold change in expression as bar plots. Values >1 indicate increase in relative expression. Values <1 indicate decrease in relative expression.
---
# RESULTS
## Box Plots (delta Cq)
Box plots of delta Cq (i.e. normalize to Actin). T-test identified only a single gene (marked with orange asterisk) as significantly different between Control/Injected: DICER
---
## Fold Change (2-(ddCq))
Fold change in gene expression of Injected individuals, relative to control samples.
