Gangqi Wang

Keywords APOL1 kidney organoids stem cells mitochondria podocyte Introduction The incidence rate of end-stage kidney disease (ESKD) is disproportionately high in African Americans. Their susceptibility is largely explained by genetic variation in the gene encoding apolipoprotein L1 (APOL1) (Genovese et al., 2010; Parsa et al., 2013). APOL1 protein functions as a trypanolytic factor, but T. brucei rhodesiense and T.

Abstract Mass spectrometry imaging (MSI) has become a cornerstone of spatial biology research. However, various factors that are intrinsic to the technology limit the quantitative capacity of MSI-based spatial metabolomics and thus reliable interpretation. Here we developed an improved quantitative MSI workflow, based on isotopically 13C-labelled yeast extract as internal standards, to overcome these pitfalls.

Abstract Mass spectrometry imaging (MSI) has become a cornerstone of spatial biology research. However, various factors that are intrinsic to the technology limit quantitative capacity of MSI-based spatial metabolomics and thus reliable interpretation. Here, we developed a quantitative MSI workflow (Q-MSI), based on isotopically 13C-labeled yeast extract as internal standards, to overcome these pitfalls.