scispace - formally typeset
O

Oswaldo Keith Okamoto

Researcher at University of São Paulo

Publications -  94
Citations -  4360

Oswaldo Keith Okamoto is an academic researcher from University of São Paulo. The author has contributed to research in topics: Stem cell & Mesenchymal stem cell. The author has an hindex of 29, co-authored 81 publications receiving 3847 citations. Previous affiliations of Oswaldo Keith Okamoto include Federal University of São Paulo & Harvard University.

Papers
More filters
Journal ArticleDOI

Heavy metal–induced oxidative stress in algae†

TL;DR: The evidence linking metal accumulation, cellular toxicity, and the generation of ROS in aquatic environments is reviewed, with a focus on algae.
Journal ArticleDOI

Multipotent Stem Cells from Umbilical Cord: Cord Is Richer than Blood!

TL;DR: Although MSCs from blood were obtained from only 1 of the 10 samples, it is believed the results are of immediate clinical value and the possibility of originating different cell lines from the UC of neonates born with genetic defects may provide new cellular research models for understanding human malformations and genetic disorders.
Journal ArticleDOI

Antioxidant modulation in response to metal-induced oxidative stress in algal chloroplasts.

TL;DR: It is indicated that heavy metals are able to induce oxidative stress in chloroplasts of G. polyedra, particularly under acute conditions, and the maintenance of a high antioxidant capacity within chloroplast seems to be an important strategy during acclimation of Gonyaulaxpolyedra to chronic metal stress.
Journal ArticleDOI

Gene expression profiling of mantle cell lymphoma cells reveals aberrant expression of genes from the PI3K-AKT, WNT and TGFbeta signalling pathways.

TL;DR: Several genes related to apoptosis and to the PI3K/AKT, WNT and tumour growth factor β signalling pathways were altered in MCL cells when compared with naive B cells, suggesting these pathways may play a significant role in the pathogenesis of MCL.
Journal ArticleDOI

Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR.

TL;DR: Evaluation of the expression levels of 12 target genes utilizing different endogenous controls revealed that the normalization method applied might introduce errors in the estimation of relative quantities, and indicated TBP plus HPRT1 as suitable references for studies on glioblastoma gene expression.