Table 6.
Principal experimental methods for GE quantification
| Method | Pros | Cons |
|---|---|---|
| Northern Blotting | -Inexpensive | -low throughput |
| -detecting transcript size | -semiquantitative | |
| -RNAase contamination | ||
| RT-PCR | -high sensitivity | -high variability |
| -high sequence specific | -normalizaton methods | |
| Microarray | -measurement of the activity of thousands of genes at once | -high cost |
| -rapid | -analysis of Big data | |
| -don't require large-scale DNA sequencing | -high Background noise | |
| Sanger sequencing technology | -low Background noise | -only a portion of the transcript |
| -isoforms are generally indistinguishable from each other | ||
| -Low throughput | ||
| RNA-seq | -measurement of the activity of thousands of genes at once | -High cost |
| -require low amount of RNA | -Analysis of Big data | |
| -high reproducibility | ||
| -Low Background noise |