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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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¹Biochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.

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|October 9, 2024

Summary

Researchers developed a new multi-omics method, modified bead-enabled accelerated monophasic multi-omics (mBAMM), to integrate transcriptomics with proteomics, lipidomics, and metabolomics. This unified approach enhances biological system characterization for deeper insights.

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Area of Science:

Biochemistry
Molecular Biology
Bioinformatics

Background:

Omics-based measurements offer high-throughput study of biomolecules for biological system characterization.
Current multi-omics methods often lack integrated bioinformatic tools and have not unified transcriptomics with other omics analyses.
Holistic understanding of biological systems requires incorporating diverse omics data.

Purpose of the Study:

To introduce a novel multi-omics sample preparation technique that integrates transcriptomics with other omics measurements.
To address the limitations in bioinformatic interpretation of multi-omics data by enabling transcriptomics analysis.
To improve comprehensive sample characterization for cohesive biological insights.

Main Methods:

Development of the modified bead-enabled accelerated monophasic multi-omics (mBAMM) method.
Incorporation of RNA extraction for transcriptomics (RNA-seq) analysis within the mBAMM protocol.
Validation of mBAMM for simultaneous isolation of biomolecules for proteomics, lipidomics, and metabolomics.

Main Results:

The mBAMM method successfully enabled RNA-seq analysis.
RNA extraction did not compromise the isolation of biomolecules for proteomics, lipidomics, and metabolomics.
The methodology significantly enhances multi-omics sample characterization.

Conclusions:

The mBAMM method represents a significant innovation in multi-omics sample preparation.
This unified approach facilitates cohesive insights into complex biological systems.
mBAMM overcomes previous limitations by integrating transcriptomics into a comprehensive multi-omics workflow.