Methods in molecular biology
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This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.
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"pHlash" is a novel bioluminescence-based pH sensor for measuring intracellular pH, which is developed based on Bioluminescence Resonance Energy Transfer (BRET). pHlash is a fusion protein between a mutant of Renilla luciferase (RLuc) and a Venus fluorophore. The spectral emission of purified pHlash protein exhibits pH dependence in vitro. When expressed in either yeast or mammalian cells, pHlash reports basal pH and cytosolic acidification. In this chapter, we describe an in vitro characterization of pHlash, and also in vivo assays including in yeast cells and in HeLa cells using pHlash as a cytoplasmic pH indicator.
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Protein phosphorylation, a process in which kinases modify serines, threonines, and tyrosines with phosphoryl groups is of major importance in eukaryotic biology. Protein phosphorylation events are key initiators of signaling responses which determine cellular outcomes after environmental and metabolic stimuli, and are thus highly regulated. ⋯ Peptides are separated on a C18 reversed-phase column under basic conditions and fractions collected in timed intervals followed by concatenation of the fractions. Each Fraction is subsequently enriched for phosphopeptides using TiO2 followed by LC/MS analysis.
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Immune checkpoint inhibitors (ICI) are a new class of drugs characterized by their ability to enhance antitumor immune responses through the blockade of critical cell surface receptors involved in the maintenance of peripheral tolerance. The recent approval of ICI targeting CTLA-4 or PD-1 for the treatment of cancer constitutes a major breakthrough in the field of oncology and demonstrates the potential of immune-mediated therapies in achieving durable cancer remissions. The identification of new immune regulatory pathways that could be targeted to reactivate or boost antitumor immunity is now a very active field of research. ⋯ In this chapter, we describe the general methodology to evaluate antitumor activity of ICI in immunocompetent mice. We outline protocols to reliably establish tumors in mice and generate lung metastasis through tail vein injections with the aim of testing the efficacy of ICI. We also present methods to analyze the composition of the tumor immune-infiltrate by multicolor flow cytometry.
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Animal models of traumatic brain injury (TBI) provide important tools for studying the pathobiology of brain trauma and for evaluating therapeutic or diagnostic targets. Incorporation of additional insults such as hemorrhagic shock (HS) and/or hypoxemia (HX) into these models more closely recreates clinical scenarios as TBI often occurs in conjunction with these systemic insults (i.e., polytrauma). ⋯ The physiological, histological, and behavioral aspects of this animal model have been characterized and have demonstrated exacerbating effects of systemic insults on penetrating TBI. As such, this model may facilitate the use of simultaneous assessments of multiple mechanisms and provide a platform for testing novel diagnostic and therapeutic targets.