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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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Updated: Nov 4, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Spatial multi-omics sequencing for fixed tissue via DBiT-seq.

Graham Su^1,2, Xiaoyu Qin^1,2, Archibald Enninful^1,2

¹Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.

|May 24, 2021

Summary

This summary is machine-generated.

This protocol details deterministic barcoding in tissue for spatial omics sequencing. It enables multi-omics atlases from fixed frozen tissues with near-single-cell resolution for transcriptomics and protein analysis.

Keywords:

Genomics RNA-seq Sequencing

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Last Updated: Nov 4, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Published on: July 6, 2022

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Published on: March 12, 2021

Area of Science:

Spatial omics
Molecular biology
Genomics

Background:

Spatial omics technologies are crucial for understanding tissue architecture and cellular function.
Existing methods may have limitations in resolution or multiplexing capabilities for complex tissues.

Purpose of the Study:

To describe a protocol for deterministic barcoding in tissue (DBiT) for spatial omics.
To enable the construction of multi-omics atlases from fixed frozen tissue samples.
To achieve near-single-cell resolution for spatial transcriptomics and targeted protein analysis.

Main Methods:

Utilizes a microfluidic-based approach to deliver combinatorial DNA oligo barcodes to cells within a tissue section.
Applies the technique to fixed frozen tissue samples mounted on a glass slide.
The method achieves near-single-cell resolution without direct single-cell dissociation.

Main Results:

The DBiT platform allows for spatial transcriptomics analysis.
Enables spatial analysis of targeted protein panels within the tissue context.
Facilitates the creation of comprehensive multi-omics atlases.

Conclusions:

The described protocol provides a robust method for spatial multi-omics analysis on fixed frozen tissues.
The DBiT approach offers near-single-cell resolution, advancing spatial biology research.
This technique is valuable for constructing detailed tissue atlases and understanding spatial molecular organization.