IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley +1 more source
Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada +7 more
wiley +1 more source
A novel soil-water characteristic curve prediction model for unsaturated soil considering pore structure characteristics. [PDF]
Liu H, Yan D.
europepmc +1 more source
Effect of cryotherapy on chemotherapy-induced peripheral neuropathy in patients with breast cancer treated with taxanes: a systematic review using the GRADE system. [PDF]
Gravesen RE +3 more
europepmc +1 more source
The Effectiveness of the Revised PEACE Pack With Primary School Students: A Positive Approach to Bullying Reduction and Wellbeing. [PDF]
Shute RH, Slee PT.
europepmc +1 more source
Distribution Patterns and Intraspecific Spatial Associations of Different Size Classes in <i>Krascheninnikovia ceratoides</i> (L.) Gueldenst. Populations Within the Tibetan Antelope Breeding Grounds of the West Kunlun Mountains. [PDF]
Chen M +5 more
europepmc +1 more source
Evaluating large-scale propensity score adjustment when sample size is small. [PDF]
Vereijken F +7 more
europepmc +1 more source
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Two-stage designs with small sample sizes
Journal of Biopharmaceutical Statistics, 2022When applying group-sequential designs in clinical trials with normally distributed outcomes, approximate critical values are often applied. Here, normally distributed test statistics are assumed which, however, are in fact t-distributed. For small sample sizes, the approximation may lead to a serious inflation of the type I error rate.
Meinhard Kieser +2 more
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