title: Quantitation of low abundance mRNAs in glial cells using different polymerase chain reaction (PCR)-based methods.
abstract: The conventional methods for mRNA quantitation such as Northern blotting or ribonuclease protection assay sometimes lack enough sensitivity to study low abundance mRNAs or to work with limited amounts of biological samples. The sensitivity of the polymerase chain reaction (PCR) linked to reverse transcription (RT-PCR) has proven useful in amplifying specific mRNAs, especially those present in low copy number. Though, the quantitation of nucleic acids by means of PCR has proven problematic. The main constraint in obtaining quantitative data is inherent in the amplification reaction. Because amplification is an exponential process, small variations in the efficiency of amplification may significantly affect the final yield of the PCR product. The variables that influence the rate of the PCR include the abundance of the mRNA present in the starting material, the concentrations of the Taq DNA polymerase, dNTPs and magnesium ions, the annealing and elongation conditions, the ramping temperatures and the formation of primer secondary structures. Moreover, with the progression of the PCR cycles, reagents are consumed and inhibitors generated, leading to non-linear synthesis of DNA. Finally, tube-to-tube variations sometimes preclude accurate quantitation. Most of the above-mentioned problems can be overcome by the choice of adequate internal controls. The present report reviews two recently developed methods for RNA quantitation, the semi-quantitative PCR and the quantitative PCR illustrated for the measurement of monoamine oxidase (MAO) A and B mRNAs and the estrogen receptor (ER) mRNA respectively, with a particular emphasis on the design of appropriate internal controls to compensate for the intra- and inter-assay variability inherent to RT-PCR.
authors.affiliation: Milan Molecular Pharmacology Laboratory, University of Milan, Italy.
authors.forename: S
authors.initials: S
authors.lastname: Santagati
authors.forename: M
authors.initials: M
authors.lastname: Garnier
authors.forename: P
authors.initials: P
authors.lastname: Carlo
authors.forename: E
authors.initials: E
authors.lastname: Violani
authors.forename: G B
authors.initials: GB
authors.lastname: Picotti
authors.forename: A
authors.initials: A
authors.lastname: Maggi
mesh_terms: D000818:Animals; D018076:DNA, Complementary / Q000235:genetics / Q000378:metabolism; D003720:Densitometry; D005260:Female; D005987:Glyceraldehyde-3-Phosphate Dehydrogenases / Q000235:genetics; D008995:Monoamine Oxidase / Q000235:genetics; D009154:Mutation / Q000235:genetics; D009457:Neuroglia / Q000378:metabolism*; D016133:Polymerase Chain Reaction / Q000379:methods*; D012333:RNA, Messenger / Q000378:metabolism*; D051381:Rats; D011960:Receptors, Estrogen / Q000235:genetics; D014599:Uterus / Q000378:metabolism
chemical_list: D018076:DNA, Complementary; D012333:RNA, Messenger; D011960:Receptors, Estrogen; D005987:Glyceraldehyde-3-Phosphate Dehydrogenases; D008995:Monoamine Oxidase