Találati lista | Tudóstér

001-es BibID:	BIBFORM043597
035-os BibID:	(scopus)84875089327 (wos)000315397900068
Első szerző:	Zsóri Katalin Szilvia
Cím:	Validation of Reference Genes for the Determination of Platelet Transcript Level in Healthy Individuals and in Patients with the History of Myocardial Infarction / Zsóri Katalin S., Muszbek László, Csiki Zoltán, Shemirani Amir H.
Dátum:	2013
ISSN:	1422-0067
Megjegyzések:	RT-qPCR is the standard method for studying changes in relative transcript level in different experimental and clinical conditions and in different tissues. No validated reference genes have been reported for the normalization of transcript level in platelets. The very low level of platelet RNA and the elimination of leukocyte contamination represented special methodological difficulties. Our aims were to apply a simple technique to separate platelets for transcript level studies, and select the most stable reference genes for platelets from healthy individuals and from patients with the history of myocardial infarction. We developed a simple, straightforward method of platelet separation for RNA isolation. Platelet activation was inhibited by using acid-citrate-dextrose for anticoagulation and by prostaglandin E1. Leukocyte contamination was eliminated by three consecutive centrifugations. Samples prepared by this method were free of leukocytes, showed no inhibition in PCR reaction and no RNA degradation. The assay demands low blood volume, which complies with the requirements of everyday laboratory routine. Seventeen potential reference genes were investigated, but eight of them were excluded during optimization. The stability of the remaining genes, EEF2, EAR, ACTB, GAPDH, ANAPC5, OAZ1, HDGF, GNAS, and CFL1, were determined by four different descriptive statistics. GAPDH, GNAS, and ACTB were shown to be the most stable genes in platelets of healthy individuals, while HDGF, GNAS, and ACTB were the most stable in platelets of patients with the history of myocardial infarction. The results confirm that data normalization needs assessment of appropriate reference genes for a particular sample set.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban Doktori iskola
Megjelenés:	International Journal of Molecular Sciences. - 14 : 2 (2013), p. 3456-3466. -
További szerzők:	Muszbek László (1942-) (haematológus, kutató orvos) Csiki Zoltán (1962-) (belgyógyász, allergológus, klinikai immunológus, reumatológus) Shemirani, Amir-Houshang (1971-) (kutató orvos, laboratórium szakorvos)
Pályázati támogatás:	NKFP-07-A1-2008-0127 Egyéb TÁMOP-4.2.2/B-10/1-2010-0024 TÁMOP Laki Kálmán Doktori Iskola MTA-DE MTA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: