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Titlebook: Chronic Myeloid Leukemia; Methods and Protocol Shaoguang Li,Haojian Zhang Book 2016 Springer Science+Business Media New York 2016 Cancer st

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Book 2016 in the highly successful .Methods in Molecular Biology .series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls...Authori
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https://doi.org/10.1007/978-1-4612-3878-2ious models systems, e.g., in cell culture models. In this chapter, we describe in detail immunoprecipitations and quantitative proteomics analysis using stable isotope labeling by amino acids in cell culture (SILAC) of components of the Bcr-Abl signaling pathway in the human CML cell line K562.
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https://doi.org/10.1007/978-3-663-12340-8mised mice. Using models such as these will allow researchers to gain valuable insight into the primitive leukemic subtypes that evade current therapy regimes and are critical to understand, in order to eradicate malignancy.
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Quantitative Proteomics Analysis of Leukemia Cells,ious models systems, e.g., in cell culture models. In this chapter, we describe in detail immunoprecipitations and quantitative proteomics analysis using stable isotope labeling by amino acids in cell culture (SILAC) of components of the Bcr-Abl signaling pathway in the human CML cell line K562.
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Biological Analysis of Human CML Stem Cells; Xenograft Model of Chronic Phase Human Chronic Myeloidmised mice. Using models such as these will allow researchers to gain valuable insight into the primitive leukemic subtypes that evade current therapy regimes and are critical to understand, in order to eradicate malignancy.
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Single-Cell Cytokine Profiling to Investigate Cellular Functional Diversity in Hematopoietic Malign contribute to lineage reprogramming. Here, we describe of a platform combining subnanoliter microchambers and a high-density antibody barcode array for the study of single-cell cytokine secretions in hematopoietic cancer cell populations.
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