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Cited by 512

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Single-cell mutation analysis of clonal evolution in myeloid malignancies

Miles, Linde A., Bowman, Robert L., Merlinsky, Tiffany R., Csete, Isabelle S., Ooi, Aik T., Durruthy-Durruthy, Robert, Bowman, Michael, Famulare, Christopher, Patel, Minal A., Mendez, Pedro, Ainali, Chrysanthi, Demaree, Benjamin, Delley, Cyrille L., Abate, Adam R., Manivannan, Manimozhi, Sahu, Sombeet, Goldberg, Aaron D., Bolton, Kelly L., Zehir, Ahmet, Rampal, Raajit, Carroll, Martin P., Meyer, Sara E., Viny, Aaron D., Levine, Ross L.·2020·Nature
DOI 10.1038/s41586-020-2864-xPMC PMC7677169
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Citations

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Research works printed but not linked: 24

  1. Patel, J. P. et al. Prognostic relevance of integrated genetic profiling in acute myeloid leukemia. N. Engl. J. Med. 366, 1079–1089 (2012). · DOI
  2. Rampal, R. et al. Genomic and functional analysis of leukemic transformation of myeloproliferative neoplasms. Proc. Natl Acad. Sci. USA 111, E5401–E5410 (2014). · DOI · Paper page
  3. Pellegrino, M. et al. High-throughput single-cell DNA sequencing of acute myeloid leukemia tumors with droplet microfluidics. Genome Res. 28, 1345–1352 (2018). · DOI
  4. Levine, R. L. et al. X-inactivation-based clonality analysis and quantitative JAK2V617F assessment reveal a strong association between clonality and JAK2V617F in PV but not ET/MMM, and identifies a subset of JAK2V617F-negative ET and MMM patients with clonal hematopoiesis. Blood 107, 4139–4141 (2006). · DOI
  5. Kralovics, R. et al. A gain-of-function mutation of JAK2 in myeloproliferative disorders. N. Engl. J. Med. 352, 1779–1790 (2005). · DOI · Paper page
  6. Xie, M. et al. Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nat. Med. 20, 1472–1478 (2014). · DOI · Paper page
  7. Abdel-Wahab, O. et al. Genetic analysis of transforming events that convert chronic myeloproliferative neoplasms to leukemias. Cancer Res. 70, 447–452 (2010). · DOI
  8. Ortmann, C. A. et al. Effect of mutation order on myeloproliferative neoplasms. N. Engl. J. Med. 372, 601–612 (2015). · DOI · Paper page
  9. Coombs, C. C. et al. Therapy-related clonal hematopoiesis in patients with non-hematologic cancers is common and associated with adverse clinical outcomes. Cell Stem Cell 21, 374–382 (2017). · DOI · Paper page
  10. Demaree, B. et al. Joint profiling of proteins and DNA in single cells reveals extensive proteogenomic decoupling in leukemia. Preprint at https://doi.org/10.1101/2020.02.26.967133 (2020). · DOI
  11. Falini, B., Nicoletti, I., Martelli, M. F. & Mecucci, C. Acute myeloid leukemia carrying cytoplasmic/mutated nucleophosmin (NPMc+ AML): biologic and clinical features. Blood 109, 874–885 (2007). · DOI
  12. Majeti, R., Park, C. Y. & Weissman, I. L. Identification of a hierarchy of multipotent hematopoietic progenitors in human cord blood. Cell Stem Cell 1, 635–645 (2007). · DOI
  13. Goardon, N. et al. Coexistence of LMPP-like and GMP-like leukemia stem cells in acute myeloid leukemia. Cancer Cell 19, 138–152 (2011). · DOI
  14. Levine, J. H. et al. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis. Cell 162, 184–197 (2015). · DOI · Paper page
  15. Klco, J. M. et al. Functional heterogeneity of genetically defined subclones in acute myeloid leukemia. Cancer Cell 25, 379–392 (2014). · DOI
  16. Paguirigan, A. L. et al. Single-cell genotyping demonstrates complex clonal diversity in acute myeloid leukemia. Sci. Transl. Med. 7, 281re2 (2015). · DOI · Paper page
  17. Tefferi, A. & Vardiman, J. W. Classification and diagnosis of myeloproliferative neoplasms: the 2008 World Health Organization criteria and point-of-care diagnostic algorithms. Leukemia 22, 14–22 (2008). · DOI
  18. Cheng, D. T. et al. Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): a hybridization capture-based next-generation sequencing clinical assay for solid tumor molecular oncology. J. Mol. Diagn. 17, 251–264 (2015). · DOI · Paper page
  19. Proellochs, N. & Feuerriegel, S. ReinforcementLearning: Model-Free Reinforcement Learning. R package v.1.0.4 (2019). · DOI
  20. Griffith, D. M., Veech, J. A. & Marsh, C. J. cooccur: probabilistic species co-occurrence analysis in R. J. Stat. Softw. 69, 1–17 (2016). · DOI
  21. Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016). · DOI
  22. Gu, Z., Eils, R. & Schlesner, M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 32, 2847–2849 (2016). · DOI
  23. Conway, J. R., Lex, A. & Gehlenborg, N. UpSetR: an R package for the visualization of intersecting sets and their properties. Bioinformatics 33, 2938–2940 (2017). · DOI · Paper page
  24. Csardi, G. & Nepusz, T. The igraph software package for complex network research. InterJournal Complex Syst. 2005, 1695 (2005).

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Metadata

Authors
Miles, L. A., Bowman, R. L., Merlinsky, T. R., Csete, I. S., Ooi, A. T., Durruthy-Durruthy, R., Bowman, M., Famulare, C., Patel, M. A., Mendez, P., Ainali, C., Demaree, B., Delley, C. L., Abate, A. R., Manivannan, M., Sahu, S., Goldberg, A. D., Bolton, K. L., Zehir, A., Rampal, R., Carroll, M. P., Meyer, S. E., Viny, A. D., & Levine, R. L.
ORCID
Venue
Nature
Publisher
Springer Science and Business Media LLC
Published
2020-10-28
Volume
587
Issue
7834
Pages
477-482
ISSN
  • 0028-0836
  • 1476-4687
DOI
10.1038/s41586-020-2864-x
PMC
PMC7677169
Cited by
512
References
11
Language
en
Licence

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