Figure 1.Generation of NOD-scid II2rg^-1-extended pluripotent stem cells.(A)Schematic of two approaches used for generating NOD-scid II2rg^-1-extended pluripotent stem cells:de novo derivation from blastocysts(upper p...Figure 1.Generation of NOD-scid II2rg^-1-extended pluripotent stem cells.(A)Schematic of two approaches used for generating NOD-scid II2rg^-1-extended pluripotent stem cells:de novo derivation from blastocysts(upper panels)and chemical reprogramming from embryonic fibroblasts(lower panels).(B)Phase-contrast images of de novo derived outgrowth and EPS colonies for 17 passages in LCDM medium.Scale bars,100 pm.(C)qRT-PCR analysis of XEN marker genes expression during the chemical induction process(day 16).Error bars indicate SEM(n=2).(D)Co-immunostaining of XEN marker genes during the chemical induction process(day 16).Upper panels:GATA6 and SALL4;lower panels:SOX17 and SALL4.Scale bars,100 pm.展开更多
We apply two geometrical diagnostics, the statefinder {s, r} and Om（x）, to discriminate the Spatial Ricci scalar dark energy model from the ACDM model. We plot the evolution trajectories of those models in the state...We apply two geometrical diagnostics, the statefinder {s, r} and Om（x）, to discriminate the Spatial Ricci scalar dark energy model from the ACDM model. We plot the evolution trajectories of those models in the statefinder plane and Om（x） plane. We show that the Spatial Ricci scalar dark energy model can be distinguished from the ACDM model at 68.3% confidence level for z ≤ 1.展开更多
文摘Figure 1.Generation of NOD-scid II2rg^-1-extended pluripotent stem cells.(A)Schematic of two approaches used for generating NOD-scid II2rg^-1-extended pluripotent stem cells:de novo derivation from blastocysts(upper panels)and chemical reprogramming from embryonic fibroblasts(lower panels).(B)Phase-contrast images of de novo derived outgrowth and EPS colonies for 17 passages in LCDM medium.Scale bars,100 pm.(C)qRT-PCR analysis of XEN marker genes expression during the chemical induction process(day 16).Error bars indicate SEM(n=2).(D)Co-immunostaining of XEN marker genes during the chemical induction process(day 16).Upper panels:GATA6 and SALL4;lower panels:SOX17 and SALL4.Scale bars,100 pm.
基金supported in part by the National Natural Science Foundation of China (Grant No. 11147028)the Hebei Provincial Natural Science Foundation of China (Grant No. A2011201147)the Research Fund for Doctoral Programs of Hebei University (Grant No. 2009-155)
文摘We apply two geometrical diagnostics, the statefinder {s, r} and Om（x）, to discriminate the Spatial Ricci scalar dark energy model from the ACDM model. We plot the evolution trajectories of those models in the statefinder plane and Om（x） plane. We show that the Spatial Ricci scalar dark energy model can be distinguished from the ACDM model at 68.3% confidence level for z ≤ 1.
