Advances in single-cell omics and multiomics for high-resolution molecular profiling

10Citations
Citations of this article
72Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Each cell is a bustling city of genetic material and proteins, but traditional methods often blur the individuality of each cell by averaging the data. Single-cell omics techniques, however, allow us to focus on individual cells, revealing the rich variety of cell types, states, and rare populations that make up our tissues and organs. In this review, researchers delve into the details of single-cell omics and multi-modal omics. They explore on how to isolate cells, add unique barcodes to keep track of them, and then analyze their genetic and molecular content. The integration of data across different molecular dimensions is a leap forward in the field, and it paves the way for future discoveries that could transform medicine. The potential implications of this research are vast, offering hope for more precise and personalized medical treatments in the future. This summary was initially drafted using artificial intelligence, then revised and fact-checked by the author.

Cite

CITATION STYLE

APA

Lim, J., Park, C., Kim, M., Kim, H., Kim, J., & Lee, D. S. (2024, March 1). Advances in single-cell omics and multiomics for high-resolution molecular profiling. Experimental and Molecular Medicine. Springer Nature. https://doi.org/10.1038/s12276-024-01186-2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free