Nonspecific Binding Correction for Single-Cell Mass Cytometric Analysis of Autophagy and Myoblast Differentiation.

Satellite cells provide regenerative capacity to the skeletal muscle after injury. In this process, termed myogenesis, satellite cells get activated, proliferate, and differentiate. Myogenesis is recapitulated in the tissue culture of myoblasts that differentiate by fusion and then by the formation of myotubes. Autophagy plays an important role in myogenesis, but the asynchronous and unique trajectory of differentiation of each myoblast along the myogenic lineage complicates teasing apart at what stages of differentiation autophagy plays a critical role. In this report, we describe a mass cytometric, multidimensional, individual cell analysis of differentiating myoblasts that characterizes autophagy flux (i.e., autophagy rate) at separate myogenesis stages. Because mass cytometry uses a set of lanthanide-tagged antibodies, each being specific for a desired molecular target, quantification of each molecular target could be exaggerated by nonspecific binding of its respective antibody to other nontarget cellular regions. In this report, we used lanthanide-tagged isotypes, which allowed for correction for nonspecific binding at the single-cell level. Using this approach, myoblasts were phenotypically identified by their position in the myogenic lineage, simultaneously with the quantification of autophagic flux in each identified subset. We found that generally autophagy flux is upregulated specifically during myoblast fusion and declines in myotubes. We also observed that mitophagy (i.e., selective autophagic degradation of mitochondria) is also active after myotube formation. The ability to track different types of autophagy is another feature of this methodology, which could be key to expand the current understanding of autophagy regulation in regenerating the skeletal muscle.

Checkpoints for Preliminary Identification of Small Molecules found Enriched in Autophagosomes and Activated Mast Cell Secretions Analyzed by Comparative UPLC/MSe.

We report the use of ultra high performance liquid chromatography (UPLC) coupled with acquisition of low- and high-collision energy mass spectra (MSe) to explore small molecule compositions that are unique to either enriched-autophagosomes or secretions of chemically activated murine mast cells. Starting with thousands of features, each defined by a chromatographic retention time, m/z values and ion intensities, manual examination of the extracted ion chromatograms (XIC) of chemometrically selected features was essential to eliminate false positives, occurring at rates of 33, 14 and 37% in samples of three biological systems. Forty-six percent of features that passed the XIC-based checkpoint, had IDs in compound databases used here. From these, 19% of IDs had experimental high-collision energy MSe spectra that were in agreement with in-silico fragmentation. The importance of this second checkpoint was highligthed through validation with selected commercially available standards. This work illustrates that checkpoints in data processing are essential to ascertain reliability of unbiased metabolomic studies, thereby reducing the risk of generating 'false identifications' which are is a major concern as 'omics' data continue to proliferate and be used as platforms to lauch novel biological hypotheses.

Metabolic Labeling with an Alkyne-modified Isoprenoid Analog Facilitates Imaging and Quantification of the Prenylome in Cells.

Protein prenylation is a post-translational modification that is responsible for membrane association and protein-protein interactions. The oncogenic protein Ras, which is prenylated, has been the subject of intense study in the past 20 years as a therapeutic target. Several studies have shown a correlation between neurodegenerative diseases including Alzheimer's disease and Parkinson's disease and protein prenylation. Here, a method for imaging and quantification of the prenylome using microscopy and flow cytometry is described. We show that metabolically incorporating an alkyne isoprenoid into mammalian cells, followed by a Cu(I)-catalyzed alkyne azide cycloaddition reaction to a fluorophore, allows for detection of prenylated proteins in several cell lines and that different cell types vary significantly in their levels of prenylated proteins. The addition of a prenyltransferase inhibitor or the precursors to the native isoprenoid substrates lowers the levels of labeled prenylated proteins. Finally, we demonstrate that there is a significantly higher (22%) level of prenylated proteins in a cellular model of compromised autophagy as compared to normal cells, supporting the hypothesis of a potential involvement of protein prenylation in abrogated autophagy. These results highlight the utility of total prenylome labeling for studies on the role of protein prenylation in various diseases including aging-related disorders.