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Single‐Cell RNA Sequencing in Hematological Diseases
Author(s) -
Zhu Yue,
Huang Yaohui,
Tan Yun,
Zhao Weili,
Tian Qiang
Publication year - 2020
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201900228
Subject(s) - biology , computational biology , multiple myeloma , lymphoma , leukemia , disease , single cell sequencing , transcriptome , cell , rna , bioinformatics , gene , immunology , genetics , medicine , phenotype , gene expression , pathology , exome sequencing
Hematological diseases, including leukemia, lymphoma, and multiple myeloma, are characterized by high heterogeneity with diverse cellular subpopulations. Single‐cell RNA sequencing (scRNA‐seq), a transformational technology, provides deep insights into cell‐to‐cell variation in tumor and microenvironment, allows high‐resolution dissection of the pathogenic mechanisms of diseases, and affords potential clinical utilities. Recent developments in single‐cell transcriptomics and associated technologies and their applications in hematological disorders for unraveling cellular subpopulations, disease pathogenesis, patient stratification, and therapeutic responses are summarized.