--- author: Sam White toc-title: Contents toc-depth: 5 toc-location: left layout: post title: qPCR - Geoduck Normalizing Gene Primers 28s-v4 and EF1a-v1 Tests date: '2020-09-16 07:06' tags: - geoduck - Panopea generosa - qPCR - CFX Connect categories: - 2020 - Miscellaneous --- On Monday (20200914), I [checked a set of 28s and EF1a primer sets](https://robertslab.github.io/sams-notebook/posts/2020/2020-09-14-qPCR---Geoduck-Normalizing-Gene-Primer-Checks/) and determined that 28s-v4 and EF1a-v1 were probably the best of the bunch, although they all looked great. So, I needed to test these out on some individual cDNA samples to see if they might be useful as normalizing genes - should have consistent Cq values across all samples/treatments. Primers tested: | SRID | Primer_Name | |------|-------------| | 1797 | 28s_v4_FWD | | 1796 | 28s_v4_REV | | 1795 | EF1a_v1_FWD | | 1794 | EF1a_v1_REV | I tested them on a set of _P.generosa_ hemolymph [cDNA made by Kaitlyn on 20200212](https://genefish.wordpress.com/2020/02/12/kaitlyns-notebook-testing-new-primers-on-geoduck-hemolymph-rna/). I also used a 1:10 dilution of [geoduck gDNA (162ng/uL; from 20170105)](https://robertslab.github.io/sams-notebook/posts/2017/2017-01-05-dna-isolation-geoduck-gdna-for-illumina-initiated-sequencing-project/) as a positive control, as gDNA was amplified by all the primer sets on Monday. Master mix calcs are here: - [200200916_qPCR_geoduck_28s-4_EF1a-v1](https://docs.google.com/spreadsheets/d/1JzsMf3iLz01wbwjqYCCCpHoFNqFgMO-EVtax_hXq4Ss/edit?usp=sharing) (Google Sheet) All qPCR reactions were run in duplicate. See qPCR Report (Results section below) for plate layout, cycling params, etc. --- # RESULTS qPCR Report (PDF): - [sam_2020-09-16_04-57-06_BR006896.pdf](https://owl.fish.washington.edu/Athaliana/qPCR_data/qPCR_reports/sam_2020-09-16_04-57-06_BR006896.pdf) CFX Data File (PCRD): - [sam_2020-09-16_04-57-06_BR006896.pcrd](https://owl.fish.washington.edu/scaphapoda/qPCR_data/cfx_connect_data/sam_2020-09-16_04-57-06_BR006896.pcrd) CFX Results File (CSV): - [sam_2020-09-16_04-57-06_BR006896-Quantification-Cq-Results.csv](https://owl.fish.washington.edu/Athaliana/qPCR_data/sam_2020-09-16_04-57-06_BR006896-Quantification-Cq-Results.csv) 28s-v4 melt plots aren't great and might even possibly have a slight shoulder, suggesting a secondary product. Not great. Additionally, the samples have a fairly large Cq range; not good for a normalizing gene. EF1a-v1 melt plots look great, but the amplification also exhibits a Cq range that's too large for a normalizing gene. With all of that said, I'm starting to think it would be best to re-quant the source RNA and remake cDNA. Amplifcation and melt plots for each primer set are below. Color coding: - RED: No Template Control (NTC) - CHARTREUSE: gDNA - OTHER: cDNA ##### 28s v4 AMPLIFICATION PLOTS ![28s-v4 amp plots.png ](https://owl.fish.washington.edu/Athaliana/qPCR_data/sam_2020-09-16_04-57-06_BR006896_28s-v4_amp_plots.png) MELT PLOTS ![28s-v4 melt plots.png ](https://owl.fish.washington.edu/Athaliana/qPCR_data/sam_2020-09-16_04-57-06_BR006896_28s-v4_melt_plots.png) ##### EF1a v1 AMPLIFICATION PLOTS ![EF1a-v1 amp plots.png ](https://owl.fish.washington.edu/Athaliana/qPCR_data/sam_2020-09-16_04-57-06_BR006896_EF1a-v1_amp_plots.png) MELT PLOTS ![EF1a-v1 melt plots.png ](https://owl.fish.washington.edu/Athaliana/qPCR_data/sam_2020-09-16_04-57-06_BR006896_EF1a-v1_melt_plots.png)