Table 1.

Differences between scRNA-seq and bulk RNA-seq used in combination and alone.

Feature/ Function	scRNA-seq	bulk scRNA-seq	scRNA-seq + bulk scRNA-seq
Resolution	Single-cell	Population of cells	The mixture of single cells and the population of cells
Applications	Identifying and characterizing rare cell populations, studying cell interactions, tracking cell differentiation, and developing new therapeutic targets	Studying overall trends and differences in gene expression between conditions and identifying differentially expressed genes	Comprehensive study of cellular heterogeneity, identification of cell-type-specific gene expression patterns, and validation of scRNA-seq results
Cost	More expensive	Less expensive	Reasonable use, cost-effective
Advantages	High-resolution view of gene expression, ability to identify rare cell populations, and study cell interactions	It can be performed on a large number of samples and provides a population-level view of gene expression	It combines the strengths of both scRNA-seq and bulk scRNA-seq
Disadvantages	More expensive and time-consuming than bulk scRNA-seq, it can be difficult to analyze data from large numbers of cells	Can mask heterogeneity in gene expression but may not be able to identify rare cell populations	Requires more complex computational analysis