A pair of new statistical parameters for quality control in RNA interference high-throughput screening assays

Genomics

Volumn 89, Issue 4, 2007, Pages 552-561

  Zhang, Xiaohua Douglas ^a  

^a MERCK RESEARCH LABORATORIES   (United States)

Author keywords

Coefficient of variability in difference; d+ probability; High throughput screening; RNA interference; Strictly standardized mean difference; Z factor

Indexed keywords

ARTICLE; COEFFICIENT OF VARIABILITY IN DIFFERENCE; CONTROLLED STUDY; GENE SILENCING; HIGH THROUGHPUT SCREENING; PRIORITY JOURNAL; PROBABILITY; QUALITY CONTROL; RNA INTERFERENCE; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE; STRICTLY STANDARDIZED MEAN DIFFERENCE; STUDENT T TEST;

GENE SILENCING; GENETIC SCREENING; METHODS; MODELS, STATISTICAL; MODELS, THEORETICAL; QUALITY CONTROL; RNA INTERFERENCE;

EID: 33947167826     PISSN: 08887543     EISSN: 10898646     Source Type: Journal    
DOI: 10.1016/j.ygeno.2006.12.014     Document Type: Article

References (23)

1. Fire A., Xu S., Montgomery M.K., Kostas S.A., Driver S.E., and Mello C.C. Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans. Nature 391 (1998) 806-811
2. Hannon G.J. RNA: A Guide to Gene Silencing (2003), Cold Spring Harbor Laboratory Press, New York
3. Kurreck J. RNA interference: perspectives and caveats. RNA Interference Gene Silencing 1 (2005) 50-51
4. Mahanthappa N. Translating RNA interference into therapies for human diseases. Pharmacogenomics 6 (2005) 879-883
5. Whelan J. First clinical data on RNAi. Drug Discovery Today 10 (2005) 1014-1015
6. Nature News. Silent running: the race to the clinic. Nature 442 (2006) 614-615
7. Zuck P., et al. A cell-based β-lactamase reporter gene assay for the identification of inhibitors of hepatitis C virus replication. Anal. Biochem. 334 (2004) 344-355
8. MacKeigan J.P., Murphy L.O., and Blenis J. Sensitized RNAi screen of human kinases and phosphatases identifies new regulators of apoptosis and chemoresistance. Nat. Cell Biol. 7 (2005) 591-600
9. Nybakken K., Vokes S., Lin T.Y., McMahon A.P., and Perrimon N.A. Genome-wide RNA interference screen in Drosophila melanogaster cells for new components of the HH signalling pathway. Nat. Genet. 37 (2005) 1323-1332
10. Pelkmans L., et al. Genome-wide analysis of human kinases in clathrin- and caveolae/raft-mediated endocytosis. Nature 436 (2005) 78-86
11. Zhang J., Chung T.Y., and Oldenburg K.R. A simple statistical parameter for use in evalution and validation of high throughput screeing assays. J. Biomol. Screening 4 (1999) 67-73
12. Brideau C., Gunter B., Pikounis B., and Liaw A. Improved statistical methods for hit selection in high-throughput screening. J. Biomol. Screening 8 (2003) 634-647
13. Gunter B., Brideau C., Pikounis B., Pajni N., and Liaw A. Statistical and graphical methods for quality control determination of high-throughput screening data. J. Biomol. Screening 8 (2003) 624-633
14. Kevorkov D., and Makarenkov V. Statistical analysis of systematic errors in high-throughput screening. J. Biomol. Screening 10 (2005) 557-567
15. Malo N., Hanley J.A., Gerquozzi S., Pelletier F., and Nadon R. Statistical practice in high-throughput screening data analysis. Nat. Biotechnol. 24 (2006) 167-175
16. Zhang X.D., et al. Exploring statistical methods for hit selection in RNAi high throughput screening experiments. Am. Stat. Assoc. Proc. (2005) 775-780
17. Zhang X.D., et al. Robust statistical methods for hit selection in RNA interference high throughput screening experiments. Pharmacogenomics 7 (2006) 299-309
18. Evans J.M., Zaworski P.G., and Parker C.N. A high throughput screen for inhibitors of fungal cell wall synthesis. J. Biomol. Screening 7 (2002) 359-366
19. Tian H., et al. Multiplex mRNA assay using electrophoretic tags for high-throughput gene expression analysis. Nucleic Acids Res. 32 (2004) 126
20. Riester D., et al. Thrombin inhibitors identified by computer-assisted multiparameter design. Proc. Natl. Acad. Sci. USA 102 (2005) 8597-8602
21. Park H.J., et al. Chemical enhancers of cytokine signaling that suppress microfilament turnover and tumor cell growth. Cancer Res. 66 (2006) 3558-3566
22. Kirk R.E. Practical significance: a concept whose time has come. Educ. Psychol. Measure. 56 (1996) 746-759
23. Schervish M.J. Theory of Statistics (1995), Springer-Verlag, Berlin