BACKGROUND: A method that provides standardized data and is relatively inexpensive and capable of high throughput is a prerequisite to the development of a meaningful gene expression database suitable for conducting multi-institutional clinical studies based on expression measurement. Standardized RT (StaRT)-PCR has all these characteristics. In addition, the method must be reproducible. StaRT-PCR has high intralaboratory reproducibility. The purpose of this study is to determine whether StaRT-PCR provides similar interlaboratory reproducibility. METHODS AND RESULTS: In a blinded interlaboratory study, expression of ten genes was measured by StaRT-PCR in a complementary DNA sample provided to each of four laboratories. The average coefficient of variation for interlaboratory comparison of the nine quantifiable genes was 0.48. In all laboratories, expression of one of the genes was too low to be measured. CONCLUSION: Because StaRT-PCR data are standardized and numerical and the method is reproducible among multiple laboratories, it will allow development of a meaningful gene expression database.
BACKGROUND: A method that provides standardized data and is relatively inexpensive and capable of high throughput is a prerequisite to the development of a meaningful gene expression database suitable for conducting multi-institutional clinical studies based on expression measurement. Standardized RT (StaRT)-PCR has all these characteristics. In addition, the method must be reproducible. StaRT-PCR has high intralaboratory reproducibility. The purpose of this study is to determine whether StaRT-PCR provides similar interlaboratory reproducibility. METHODS AND RESULTS: In a blinded interlaboratory study, expression of ten genes was measured by StaRT-PCR in a complementary DNA sample provided to each of four laboratories. The average coefficient of variation for interlaboratory comparison of the nine quantifiable genes was 0.48. In all laboratories, expression of one of the genes was too low to be measured. CONCLUSION: Because StaRT-PCR data are standardized and numerical and the method is reproducible among multiple laboratories, it will allow development of a meaningful gene expression database.
Authors: E L Crawford; S A Khuder; S J Durham; M Frampton; M Utell; W G Thilly; D A Weaver; W J Ferencak; C A Jennings; J R Hammersley; D A Olson; J C Willey Journal: Cancer Res Date: 2000-03-15 Impact factor: 12.701
Authors: M G Rots; R Pieters; G J Peters; C H van Zantwijk; R Mauritz; P Noordhuis; J C Willey; K Hählen; U Creutzig; G Janka-Schaub; G J Kaspers; A J Veerman; G Jansen Journal: Blood Date: 1999-11-01 Impact factor: 22.113
Authors: M G Rots; J C Willey; G Jansen; C H Van Zantwijk; P Noordhuis; J P DeMuth; E Kuiper; A J Veerman; R Pieters; G J Peters Journal: Leukemia Date: 2000-12 Impact factor: 11.528
Authors: J C Willey; E L Crawford; C M Jackson; D A Weaver; J C Hoban; S A Khuder; J P DeMuth Journal: Am J Respir Cell Mol Biol Date: 1998-07 Impact factor: 6.914
Authors: J P DeMuth; C M Jackson; D A Weaver; E L Crawford; D S Durzinsky; S J Durham; A Zaher; E R Phillips; S A Khuder; J C Willey Journal: Am J Respir Cell Mol Biol Date: 1998-07 Impact factor: 6.914
Authors: Kristy A Warner; Erin L Crawford; Aiman Zaher; Robert J Coombs; Haitham Elsamaloty; Stacie L Roshong-Denk; Imran Sharief; Guillermo V Amurao; Yongsook Yoon; Amro Y Al-Astal; Ragheb A Assaly; Dawn-Alita R Hernandez; Timothy G Graves; Charles R Knight; Michael W Harr; Todd B Sheridan; Jeffrey P DeMuth; Robert J Zahorchak; Jeffrey R Hammersley; Dan E Olson; Samuel J Durham; James C Willey Journal: J Mol Diagn Date: 2003-08 Impact factor: 5.568
Authors: Anirban P Mitra; Arpit A Almal; Ben George; David W Fry; Peter F Lenehan; Vincenzo Pagliarulo; Richard J Cote; Ram H Datar; William P Worzel Journal: BMC Cancer Date: 2006-06-16 Impact factor: 4.430
Authors: Michael W Harr; Timothy G Graves; Erin L Crawford; Kristy A Warner; Cheryl A M Reed; James C Willey Journal: Mol Cancer Date: 2005-07-13 Impact factor: 27.401
Authors: David A Weaver; Erin L Crawford; Kristy A Warner; Fadel Elkhairi; Sadik A Khuder; James C Willey Journal: Mol Cancer Date: 2005-05-09 Impact factor: 27.401
Authors: Jiyoun Yeo; Diego A Morales; Tian Chen; Erin L Crawford; Xiaolu Zhang; Thomas M Blomquist; Albert M Levin; Pierre P Massion; Douglas A Arenberg; David E Midthun; Peter J Mazzone; Steven D Nathan; Ronald J Wainz; Patrick Nana-Sinkam; Paige F S Willey; Taylor J Arend; Karanbir Padda; Shuhao Qiu; Alexei Federov; Dawn-Alita R Hernandez; Jeffrey R Hammersley; Youngsook Yoon; Fadi Safi; Sadik A Khuder; James C Willey Journal: BMC Pulm Med Date: 2018-03-05 Impact factor: 3.317
Authors: Joëlle Vermeulen; Filip Pattyn; Katleen De Preter; Liesbeth Vercruysse; Stefaan Derveaux; Pieter Mestdagh; Steve Lefever; Jan Hellemans; Frank Speleman; Jo Vandesompele Journal: Nucleic Acids Res Date: 2009-11 Impact factor: 16.971
Authors: Vincenzo Pagliarulo; Ben George; Stephen J Beil; Susan Groshen; Peter W Laird; Jie Cai; James Willey; Richard J Cote; Ram H Datar Journal: Mol Cancer Date: 2004-01-23 Impact factor: 27.401
Authors: Thomas M Blomquist; Erin L Crawford; Jennie L Lovett; Jiyoun Yeo; Lauren M Stanoszek; Albert Levin; Jia Li; Mei Lu; Leming Shi; Kenneth Muldrew; James C Willey Journal: PLoS One Date: 2013-11-13 Impact factor: 3.240
Authors: M de Bruin; T van Capel; K Van der Born; F A Kruyt; M Fukushima; K Hoekman; H M Pinedo; G J Peters Journal: Br J Cancer Date: 2003-03-24 Impact factor: 7.640