仿形(计算机编程)
重编程
计算生物学
单细胞分析
多发性骨髓瘤
细胞
基因表达谱
计算机科学
生物
生物信息学
免疫学
遗传学
基因
基因表达
操作系统
作者
Mehmet Samur,Raphaël Szalat,Nikhil C. Munshi
出处
期刊:Blood
[American Society of Hematology]
日期:2023-05-17
被引量:3
标识
DOI:10.1182/blood.2022017145
摘要
In a short time, single-cell platforms have become the norm in many fields of research, including multiple myeloma (MM). In fact, the large amount of cellular heterogeneity in MM makes single-cell platforms particularly attractive because bulk assessments can miss valuable information about cellular subpopulations and cell-to-cell interactions. The decreasing cost and increasing accessibility of single-cell platform, combined with breakthroughs in obtaining multiomics data for the same cell and innovative computational programs for analyzing data, have allowed single-cell studies to make important insights into MM pathogenesis; yet, there is still much to be done. In this review, we will first focus on the types of single-cell profiling and the considerations for designing a single-cell profiling experiment. Then, we will discuss what have learned from single-cell profiling about myeloma clonal evolution, transcriptional reprogramming, and drug resistance, and about the MM microenvironment during precursor and advanced disease.
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