👤 P G Huls

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2
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Also published as: G Huls,
articles
H J M de Jonge, C M Woolthuis, A Z Vos +8 more · 2011 · Leukemia · Nature · added 2026-04-24
In order to identify acute myeloid leukemia (AML) CD34(+)-specific gene expression profiles, mononuclear cells from AML patients (n=46) were sorted into CD34(+) and CD34(-) subfractions, and genome-wi Show more
In order to identify acute myeloid leukemia (AML) CD34(+)-specific gene expression profiles, mononuclear cells from AML patients (n=46) were sorted into CD34(+) and CD34(-) subfractions, and genome-wide expression analysis was performed using Illumina BeadChip Arrays. AML CD34(+) and CD34(-) gene expression was compared with a large group of normal CD34(+) bone marrow (BM) cells (n=31). Unsupervised hierarchical clustering analysis showed that CD34(+) AML samples belonged to a distinct cluster compared with normal BM and that in 61% of the cases the AML CD34(+) transcriptome did not cluster together with the paired CD34(-) transcriptome. The top 50 of AML CD34(+)-specific genes was selected by comparing the AML CD34(+) transcriptome with the AML CD34(-) and CD34(+) normal BM transcriptomes. Interestingly, for three of these genes, that is, ankyrin repeat domain 28 (ANKRD28), guanine nucleotide binding protein, alpha 15 (GNA15) and UDP-glucose pyrophosphorylase 2 (UGP2), a high transcript level was associated with a significant poorer overall survival (OS) in two independent cohorts (n=163 and n=218) of normal karyotype AML. Importantly, the prognostic value of the continuous transcript levels of ANKRD28 (OS hazard ratio (HR): 1.32, P=0.008), GNA15 (OS HR: 1.22, P=0.033) and UGP2 (OS HR: 1.86, P=0.009) was shown to be independent from the well-known risk factors FLT3-ITD, NPM1c(+) and CEBPA mutation status. Show less
no PDF DOI: 10.1038/leu.2011.172
ANKRD28
H H Silljé, E G ter Schure, A J Rommens +5 more · 1997 · Journal of bacteriology · added 2026-04-24
By controlled addition of galactose to synchronized galactose-limited Saccharomyces cerevisiae cultures, the growth rate could be regulated while external conditions were kept constant. By using this Show more
By controlled addition of galactose to synchronized galactose-limited Saccharomyces cerevisiae cultures, the growth rate could be regulated while external conditions were kept constant. By using this method, the G1 phase duration was modulated and expression of cell cycle-regulated genes was investigated. The expression of the cyclin genes CLN1 and CLN2 was always induced just before bud emergence, indicating that this event marks the decision to pass Start. Thus, G1 phase elongation was not due to a slower accumulation of the CLN1 and CLN2 mRNA levels. Only small differences in CLN3 expression levels were observed. The maximal SWI4 expression preceded maximal CLN1 and CLN2 expression under all conditions, as expected for a transcriptional activator. But whereas SWI4 was expressed at about 10 to 20 min, before CLN1 and CLN2 expression at high growth rates, this time increased to about 300 min below a particular consumption rate at which the G1 phase strongly elongated. In the slower-growing cultures, also an increase in SWI6 expression was observed in the G1 phase. The increase in G1 phase duration below a particular consumption rate was accompanied by a strong increase in the reserve carbohydrate levels. These carbohydrates were metabolized again before bud emergence, indicating that below this consumption rate, a transient increase in ATP flux is required for progression through the cell cycle. Since Start occurred at different cell sizes under different growth conditions, it is not just a certain cell size that triggers passage through Start. Show less
no PDF DOI: 10.1128/jb.179.21.6560-6565.1997
CLN3