Aaronson R P, Young J F, Palese P
Nucleic Acids Res. 1982 Jan 11;10(1):237-46. doi: 10.1093/nar/10.1.237.
A frequently used method of comparing large RNA molecules employs the two-dimensional display of oligonucleotides generated through the action of specific RNases (oligonucleotide mapping, fingerprinting). Using computer simulations and simple analytic expressions the number of large RNase T1-resistant oligonucleotides obtained from random RNA sequences can be estimated. The computer simulations also permit estimation of the number of large oligonucleotides which remain unchanged as random variations are introduced into a random RNA sequence. In addition, computer analysis also provides a means of estimating statistical confidence limits to be used in a quantitative comparison of fingerprints of different RNA molecules. The model shows that two RNA sequences which differ overall by 1%, 5% or 10% share, on average, only 85%, 50% or 25%, respectively, of their large oligonucleotides. Thus, the use of fingerprint analysis is recommended only when closely related RNAs or regions of RNAs are compared (sequence homology greater than 90%).
一种常用的比较大型RNA分子的方法是利用特定核糖核酸酶作用产生的寡核苷酸的二维展示(寡核苷酸图谱分析、指纹分析)。通过计算机模拟和简单的解析表达式,可以估算从随机RNA序列中获得的大型核糖核酸酶T1抗性寡核苷酸的数量。计算机模拟还可以估算在随机RNA序列中引入随机变异时保持不变的大型寡核苷酸的数量。此外,计算机分析还提供了一种估算统计置信限的方法,用于对不同RNA分子的指纹进行定量比较。该模型表明,总体上相差1%、5%或10%的两个RNA序列,其大型寡核苷酸平均分别只有85%、50%或25%相同。因此,仅在比较密切相关的RNA或RNA区域(序列同源性大于90%)时,才建议使用指纹分析。