To quantify the amount of dsDNA, One-Step SYBR Green Master Mix was used. The thermal setting was denaturation at 95°C for 3 minutes, followed by 39 cycles of denaturation at 94°C for 30 seconds, annealing at 52°C for 30 seconds and extension at 72°C for 30 seconds. The qPCR samples were run in sets of three. Actin was utilized as an internal control for data standardization. Comparative quantification of gene expression was analyzed using the delta Ct method in tested samples and the standard deviation was calculated [28 (link)]. The graphs were plotted for the relative expression of MC1 gene compared to the internal control.
Quantifying MC1 Gene Expression in Transgenic Rice
To quantify the amount of dsDNA, One-Step SYBR Green Master Mix was used. The thermal setting was denaturation at 95°C for 3 minutes, followed by 39 cycles of denaturation at 94°C for 30 seconds, annealing at 52°C for 30 seconds and extension at 72°C for 30 seconds. The qPCR samples were run in sets of three. Actin was utilized as an internal control for data standardization. Comparative quantification of gene expression was analyzed using the delta Ct method in tested samples and the standard deviation was calculated [28 (link)]. The graphs were plotted for the relative expression of MC1 gene compared to the internal control.
Corresponding Organization : University of Azad Jammu and Kashmir
Other organizations : International Islamic University, Islamabad, University of Gujrat, Chinese Academy of Agricultural Sciences, Biotechnology Research Institute, University of the Punjab, Rawalpindi Medical University, Iowa State University
Variable analysis
- Transgenic rice lines (T0 and T1 generations)
- Expression level of MC1 gene measured by real-time PCR
- Actin (ACT1) gene as internal control for data standardization
- Thermal settings for real-time PCR (denaturation, annealing, extension)
- Positive control: Not explicitly mentioned
- Negative control: Not explicitly mentioned
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!