Single-Cell Technologies: Advances in Single-Cell Migration and Multi-Omics

Abstract

Single-cell responses to different cues are crucial for identifying the mechanisms underlying biological processes to facilitate disease detection and therapeutic development. The migration of single cells due to various stimuli is a key way in which single cells respond to changes in the microenvironment. In this review, we first discuss different single-cell migration stimuli and recent advances in the research of combined cues for finding the dominant stimulus. Then, we examine recent technologies for studying single-cell signaling and migration, their advantages and limitations, and the applications of recent single-cell technologies in multi-omics. In addition, we discuss the application of machine-learning techniques in data acquisition from molecular and cellular data. Finally, we review the latest efforts of commercialization, remaining challenges, and future perspectives for technologies to study single-cell responses to multi-cues.