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Related Experiment Video

Updated: Mar 8, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Single-Cell Multiomics: Multiple Measurements from Single Cells.

Iain C Macaulay¹, Chris P Ponting², Thierry Voet³

¹Earlham Institute, Norwich Research Park, Norwich NR4 7UH, UK.

Trends in Genetics : TIG

|January 17, 2017

Summary

This summary is machine-generated.

Single-cell sequencing offers deeper biological insights by analyzing individual cells. This review explores multi-omic single-cell technologies for precise genotype-phenotype linkage.

Keywords:

epigenomics genomics multiomics proteomics single cell transcriptomics

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Last Updated: Mar 8, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics

Published on: December 9, 2022

Sample Preparation for Single Cell Mass Spectrometry Metabolomics Studies: Combined Cell Washing, Quenching, Drying, and Storage

Sample Preparation for Single Cell Mass Spectrometry Metabolomics Studies: Combined Cell Washing, Quenching, Drying, and Storage

Published on: September 16, 2025

Area of Science:

Genomics
Molecular Biology
Biotechnology

Background:

Bulk sample sequencing can obscure crucial cellular heterogeneity.
Single-cell sequencing (SCS) of one molecule type reveals cell phenotype and genotype links.
Unambiguous genotype-phenotype inference requires parallel measurements from the same cell.

Purpose of the Study:

To review emerging experimental approaches for multi-omic single-cell analysis.
To discuss the challenges and future opportunities in parallel single-cell molecular profiling.

Main Methods:

Survey of pioneering experimental techniques for parallel multi-omic single-cell assays.
Analysis of methods enabling simultaneous measurement of different molecular types within individual cells.

Main Results:

Identification of initial experimental strategies for multi-omic single-cell analysis.
Highlighting the potential for integrated molecular profiling at the single-cell level.

Conclusions:

Parallel multi-omic single-cell analysis is crucial for unambiguous genotype-phenotype correlations.
Technological advancements promise to overcome current challenges and expand future applications.