Kim JangKeun, Schanzer Nathan, Singh Ruth Subhash, Zaman Mohammed I, Garcia-Medina J Sebastian, Proszynski Jacqueline, Ganesan Saravanan, Park Christopher Y, Melnick Ari M, Mason Christopher E
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.
School of Medicine, New York Medical College, Valhalla, NY, United States.
Int Rev Cell Mol Biol. 2025;390:67-108. doi: 10.1016/bs.ircmb.2024.08.001. Epub 2024 Sep 7.
Acute myeloid leukemia (AML) is a complex cancer, yet advances in recent years from integrated genomics methods have helped improve diagnosis, treatment, and means of patient stratification. A recent example of a powerful, multimodal method is DOGMA-seq, which can measure chromatin accessibility, gene expression, and cell-surface protein levels from the same individual cell simultaneously. Previous bimodal single-cell techniques, such as CITE-seq (Cellular indexing of transcriptomes and epitopes), have only permitted the transcriptome and cell-surface protein expression measurement. DOGMA-seq, however, builds on this foundation and has implications for examining epigenomic, transcriptomic, and proteomic interactions between various cell types. This technique has the potential to be particularly useful in the study of cancers such as AML. This is because the cellular mechanisms that drive AML are rather heterogeneous and require a more complete understanding of the interplay between the genetic mutations, disruptions in RNA transcription and translation, and surface protein expression that cause these cancers to develop and evolve. This technique will hopefully contribute to a more clear and complete understanding of the growth and progression of complex cancers.
急性髓系白血病(AML)是一种复杂的癌症,然而近年来综合基因组学方法的进展有助于改善诊断、治疗以及患者分层方式。一种强大的多模态方法的最新例子是DOGMA-seq,它可以同时测量同一个体细胞的染色质可及性、基因表达和细胞表面蛋白水平。以前的双模态单细胞技术,如CITE-seq(转录组和表位的细胞索引),仅允许测量转录组和细胞表面蛋白表达。然而,DOGMA-seq在此基础上发展而来,对于研究各种细胞类型之间的表观基因组、转录组和蛋白质组相互作用具有重要意义。这项技术在诸如AML等癌症的研究中可能特别有用。这是因为驱动AML的细胞机制相当异质性,需要更全面地了解导致这些癌症发生和发展的基因突变、RNA转录和翻译的破坏以及表面蛋白表达之间的相互作用。这项技术有望有助于更清晰、更全面地了解复杂癌症的生长和进展。