This article introduces ten common pitfalls in DNA microarray analysis
This document outlines ten common pitfalls that new users often face when interpreting DNA microarray results. It emphasizes the importance of understanding the context of transcriptional data, as static views from arrays can challenge researchers in distinguishing meaningful biological changes from noise introduced during sample acquisition, labeling, or processing.
The guide covers specific issues such as relying solely on visual image inspection for hybridization quality, prioritizing absolute signal over signal-to-noise ratios, and misunderstanding the implications of different levels of replication. It also addresses the distinction between statistical significance and biological relevance in identifying differentially expressed transcripts.
Researchers must distinguish meaningful biological changes from associated noise due to sample acquisition, target labeling, and microarray processing.
No, while important, image quality should not be used independently as the sole metric of hybridization success because poor images can hide good data.
Increased spot signal is not an advantage if the corresponding background signal is also increased, which impacts detection sensitivity.
No, technical replicates ensure the procedure runs properly but do not offer additional information regarding variability across mice or other biological factors.