Prediction of antisense oligonucleotide efficacy by in vitro methods

Nature Biotechnology

Volumn 16, Issue 13, 1998, Pages 1374-1375

  Matveeva, Olga ^a   Felden, Brice ^a   Tsodikov, Alexander ^b   Johnston, Joseph ^c   Monia, Brett P ^c   Atkins, John F ^a   Gesteland, Raymond F ^a   Freier, Susan M ^c  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF UTAH   (United States)

^c ISIS PHARMACEUTICALS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTISENSE OLIGODEOXYNUCLEOTIDE; MESSENGER RNA;

BASE PAIRING; COMPLEMENTARITY DETERMINING REGION; DNA DETERMINATION; GEL MOBILITY SHIFT ASSAY; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN TARGETING; SHORT SURVEY;

EVALUATION STUDIES; OLIGONUCLEOTIDES, ANTISENSE; PREDICTIVE VALUE OF TESTS; PROTO-ONCOGENE PROTEINS C-RAF; RNA, MESSENGER;

EID: 0031732614     PISSN: 10870156     EISSN: None     Source Type: Journal    
DOI: 10.1038/4362     Document Type: Short Survey

References (17)

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14. By definition, values of correlation coefficients vary from 1 to -1. A value of 1 corresponds to complete correlation, 0 to absence of any correlation and -1 to complete reverse correlation.
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17. Statistical analysis performed with Statistica 5.1 by StatSoft, Inc. Exploratory statistical analysis reveals two potential sources of problems with the linear correlation approach. First, scatterplots of intracellular and in vitro measurements (not shown) suggest slight deviations from linearity that are likely to increase the total sum of squared distances from the regression line. For this reason, inference based on linear coefficients is expected to be conservative when interpreted in terms of explained variation. Second, both intracellular and in vitro data are characterized by similar measurement errors, and a model with errors in the predictor as well as in the response should be preferred to a standard linear regression. For these reasons, the analysis was performed using the nonparametric approach. However, nonparametric flexibility is achieved at cost of sensitivity of the correlation analysis. Linear Pearson's coefficients were also calculated and are shown in brackets for descriptive purposes. Because of conservative inference from the data, the relationship between intracellular and in vitro measurements might be even stronger than estimated.