microarrays Flashcards
is BCS-WGS still used in methylations studies if the Illumina infinitum BeadChip array outperforms it?
methylation microarrays such as the infinium bead chip array queries only a small proportion of CpG sites in the genome, although its at high precision, its limited to known/common CpG sites (content) by using probes whereas BCS-WGS can identify novel CpG sites and query way more CpG sites across the genome.
are microarrays high or low throughput
high throughput
what is the affymetrix gene chip
a chip the size of a thumbnail with 6.5 million sections with millions of identical probes
- 25bps in length
what are the steps involved in using the affymetrix gene chip
RNA –> cDNA –> cRNA
cDNA generated for amplification (ds)
cDNA generated with biotinylated uracil NTs
cRNA is then formed by degrading the first strand leaving only the biotintylated strands as a probe
what is the purpose of introducing biotinylated NTs into the affymetrix cDNA assembly
biotintylation gives marks on each fragment boosting the sensitivity making smaller frags/ lowly expressed genes or less sensitive fluorescent readouts to be read easier
what is the normalisation of data
the minimisation of variation between samples between batches or even experiments allowing for easier analysis and comparison
give examples of why must data be normalised
- different starting quantities of sample
- difference in labelling efficiencies in dyes used
- unequal probe hybridisation
- batch differences
name some advantages of RNAseq vs Microarray
- RNAseq has ability to detect new transcripts, not limited by content
- can quantify expression with 100x wider dynamic range
- arrays are limited. to background at the low end and signal saturation at the high end
- higher spec. and Sens. as it can detect a higher percentage of diff. expressed genes, especially lowly expressed ones.
what are the potential technical confounders for microarrays
- DNA quality (QC)
- Bisulphite conversion efficiency (QC)
- Batch effects (Randomise Samples)
- Position on plate (automation/randomise)
- Probe bias (normalisation)
what are the potential biological confounders fo rmicroarrays
- genetics (muations, snps, cnvs)
- gender (prevalence, x-linked)
- cell composition (select correct cell for questioning)
- environmental exposures (e.g. control/exclude smokers etc.)
- therapies (drug interactions)
what is a beta matrix
its a grid consisting of all CpG sites analysed as well as their corresponding methylation value