Hi all,
Currently, I'm working on a project to analyze gene expression from RNA which is extractred two different samples by microarray. The results showed that almost all gene expression was uniformly up-regulated in one of the samples.
The reason for this result could be that the amount of RNA provided in one sample was simply too high, but apparently this is not the reason.
Please let me know if there are any conditions under which the gene expression of one sample is uniformly higher than that of the other.
Best regards,
Hi Yugo Karatsu ,
Maybe you have an outlier in one of the samples that makes the rest of the values go up or down. According to the normalization method used this type of errors are corrected (for example, quantile normalization is a good option).
N.
Dear Natalia Llonga Tejedor,
Thank you for your attention and great opinion.
As you said, I tried to correct these data with percentile nomalization before. However, results for RT-qPCR did not support data from microarray after nomalization. If anything, they supported data befor nomalization. Is the data before nomalization absolutely wrong? Or, was the RT-qPCR data not correct? I am seeking the information which supports data I got at first, but I cannnot find such one.
- Badges
- Science topic
- Similar topics
- Biological Science
- Molecular Biology
- Biomolecules
- Nucleic Acids
- RNA