Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia
Fueller E, Schaefer D, Fischer U, Krell P, Stanulla M, Borkhardt A, Slany RK (2014)
PloS one 9(8): e104419.
Zeitschriftenaufsatz
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Autor*in
Fueller, Elisa;
Schaefer, Daniel;
Fischer, Ute;
Krell, PinaUniBi;
Stanulla, Martin;
Borkhardt, Arndt;
Slany, Robert K
Einrichtung
Abstract / Bemerkung
Here we present a novel method "Genomic inverse PCR for exploration of ligated breakpoints" (GIPFEL) that allows the sensitive detection of recurrent chromosomal translocations. This technique utilizes limited amounts of DNA as starting material and relies on PCR based quantification of unique DNA sequences that are created by circular ligation of restricted genomic DNA from translocation bearing cells. Because the complete potential breakpoint region is interrogated, a prior knowledge of the individual, specific interchromosomal fusion site is not required. We validated GIPFEL for the five most common gene fusions associated with childhood leukemia (MLL-AF4, MLL-AF9, MLL-ENL, ETV6-RUNX1, and TCF3-PBX1). A workflow of restriction digest, purification, ligation, removal of linear fragments and precipitation enriching for circular DNA was developed. GIPFEL allowed detection of translocation specific signature sequences down to a 10-4 dilution which is close to the theoretical limit. In a blinded proof-of-principle study utilizing DNA from cell lines and 144 children with B-precursor-ALL associated translocations this method was 100% specific with no false positive results. Sensitivity was 83%, 65%, and 24% for t(4;11), t(9;11) and t(11;19) respectively. Translocation t(12;21) was correctly detected in 64% and t(1;19) in 39% of the cases. In contrast to other methods, the characteristics of GIPFEL make it particularly attractive for prospective studies.
Erscheinungsjahr
2014
Zeitschriftentitel
PloS one
Band
9
Ausgabe
8
Art.-Nr.
e104419
ISSN
1932-6203
eISSN
1932-6203
Page URI
https://pub.uni-bielefeld.de/record/2691246
Zitieren
Fueller E, Schaefer D, Fischer U, et al. Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia. PloS one. 2014;9(8): e104419.
Fueller, E., Schaefer, D., Fischer, U., Krell, P., Stanulla, M., Borkhardt, A., & Slany, R. K. (2014). Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia. PloS one, 9(8), e104419. doi:10.1371/journal.pone.0104419
Fueller, Elisa, Schaefer, Daniel, Fischer, Ute, Krell, Pina, Stanulla, Martin, Borkhardt, Arndt, and Slany, Robert K. 2014. “Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia”. PloS one 9 (8): e104419.
Fueller, E., Schaefer, D., Fischer, U., Krell, P., Stanulla, M., Borkhardt, A., and Slany, R. K. (2014). Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia. PloS one 9:e104419.
Fueller, E., et al., 2014. Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia. PloS one, 9(8): e104419.
E. Fueller, et al., “Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia”, PloS one, vol. 9, 2014, : e104419.
Fueller, E., Schaefer, D., Fischer, U., Krell, P., Stanulla, M., Borkhardt, A., Slany, R.K.: Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia. PloS one. 9, : e104419 (2014).
Fueller, Elisa, Schaefer, Daniel, Fischer, Ute, Krell, Pina, Stanulla, Martin, Borkhardt, Arndt, and Slany, Robert K. “Genomic Inverse PCR for Exploration of Ligated Breakpoints (GIPFEL), a New Method to Detect Translocations in Leukemia”. PloS one 9.8 (2014): e104419.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
1 Zitation in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
Five percent of healthy newborns have an ETV6-RUNX1 fusion as revealed by DNA-based GIPFEL screening.
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