2023
DOI: 10.1016/j.jbo.2023.100475
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Single-cell RNA-seq reveals intratumoral heterogeneity in osteosarcoma patients: A review

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Cited by 9 publications
(6 citation statements)
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“…Furthermore, single-cell RNA sequencing (scRNA-seq) analysis, potentially employing a targeted approach, could elucidate the expression of FGF23 in distinct subsets of UPSb that have also been previously identified by Yuan et al [30]. In parallel, the search for FGF23 expression in the complex osteosarcoma microenvironment, which has been recently highlighted by scRNA-seq investigations, could help with understanding if FGF23 is not expressed in any OS and associated normal subpopulation [31][32][33]. Indeed, OS heterogeneity in terms of subtypes, cells of origin [34], and tumour complexity might require further evaluation.…”
Section: Discussionmentioning
confidence: 83%
“…Furthermore, single-cell RNA sequencing (scRNA-seq) analysis, potentially employing a targeted approach, could elucidate the expression of FGF23 in distinct subsets of UPSb that have also been previously identified by Yuan et al [30]. In parallel, the search for FGF23 expression in the complex osteosarcoma microenvironment, which has been recently highlighted by scRNA-seq investigations, could help with understanding if FGF23 is not expressed in any OS and associated normal subpopulation [31][32][33]. Indeed, OS heterogeneity in terms of subtypes, cells of origin [34], and tumour complexity might require further evaluation.…”
Section: Discussionmentioning
confidence: 83%
“…It is known to be effective against various types of cancer such as liver cancer, colorectal cancer, and lung cancer [21][22][23] . Recently, the effectiveness of matrine against OS has been substantiated through experimentation [24] . Our experiment primarily involves utilizing single-cell sequencing for comprehensive investigation and genomic-level analysis.…”
Section: Resultsmentioning
confidence: 99%
“…This method is instrumental in highlighting tumor heterogeneity, thus playing a significant role in evaluating the treatment outcomes and survival prognoses of OS. Furthermore, singlecell sequencing significantly impacts network pharmacology [24] . It aids in precision targeting of drugs, evaluating drug efficacy, and providing a better understanding of the molecular mechanisms underlying drug action.…”
Section: Resultsmentioning
confidence: 99%
“…High level cell type annotations were established using unsupervised clustering results, gene set enrichment analysis, and manual annotation based on the literature for accepted human cell type markers 57 . Briefly, markers included CD3E for T cells, CTSK for osteoclasts, CD68 for macrophages, S100A12 for neutrophils, COL1A1/ALPL/FAP for tumor/fibroblasts, FLT3 for dendritic cells, MS4A1/JCHAIN for B cells, ESAM/PLVAP for endothelial cells, TOP2A for cycling cells, and GATA2/MS4A2 for mast cells.…”
Section: Methodsmentioning
confidence: 99%