2021
DOI: 10.1016/j.exphem.2021.05.001
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Single-cell technologies and analyses in hematopoiesis and hematological malignancies

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Cited by 11 publications
(7 citation statements)
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“…In recent years, single-cell-sequencing approaches have revolutionized our understanding of normal and malignant hematopoiesis by enabling the precise characterization of the transitional cell states between hematopoietic hierarchy stages and their HSPC onset clonal origins that are dysregulated during hematologic malignancies [ 120 , 121 ]. Knowing the characteristics of normal cells should facilitate understanding their malignant counterparts and thus provide clues on how CH shifts the HSPC transcriptional landscape toward clonal expansion and lineage skewing.…”
Section: Embracing Complexity: New Tools To Study the Ch Bm Nichementioning
confidence: 99%
“…In recent years, single-cell-sequencing approaches have revolutionized our understanding of normal and malignant hematopoiesis by enabling the precise characterization of the transitional cell states between hematopoietic hierarchy stages and their HSPC onset clonal origins that are dysregulated during hematologic malignancies [ 120 , 121 ]. Knowing the characteristics of normal cells should facilitate understanding their malignant counterparts and thus provide clues on how CH shifts the HSPC transcriptional landscape toward clonal expansion and lineage skewing.…”
Section: Embracing Complexity: New Tools To Study the Ch Bm Nichementioning
confidence: 99%
“…With the advent of single cell RNA-sequencing (scRNA-seq), the transcriptome has become the molecular level most exploited by single cell technologies. It has accelerated our understanding of cancer biology, enabling the characterization of the intratumoral heterogeneity and cellular architecture of several cancer types at unprecedented resolution [20,[30][31][32][33]. Additionally, there are emerging single cell DNA-sequencing technologies that allow us to profile, in an amplicon-based and targeted manner, recurrently mutated genes, providing the genotype of every cell by detecting single nucleotide variants (SNPs) and copy number variants (CNVs) [34].…”
Section: Single Cell Mono-omic Technologies To Explore Cancer Epigeno...mentioning
confidence: 99%
“…Fortunately, the recent explosion in molecular biology techniques and computational approaches makes it possible to overcome the above problems. Artificial intelligence (AI)-based methods have been successfully applied to several tasks of single-cell omics, representing powerful and promising tools for biological discovery ( 123 ). The power of single-cell metabolomics can be improved by combining artificial intelligence-based algorithms.…”
Section: Challenges and Perspectives Of Single-cell Metabolomicsmentioning
confidence: 99%