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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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Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
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Related Experiment Video

Updated: Feb 19, 2026

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

LCM-Seq: A Method for Spatial Transcriptomic Profiling Using Laser Capture Microdissection Coupled with PolyA-Based

Susanne Nichterwitz¹, Julio Aguila Benitez^1,2, Rein Hoogstraaten^1,3

¹Department of Neuroscience, Karolinska Institutet, Retzius v. 8, 171 77, Stockholm, Sweden.

Methods in Molecular Biology (Clifton, N.J.)

|November 14, 2017

Summary

This summary is machine-generated.

Laser capture microdissection coupled with sequencing (LCM-seq) enables RNA analysis of single cells from intact tissues. This cost-effective, reproducible method preserves cellular positional information for advanced research.

Keywords:

Cresyl violet Dopamine neuron HistoGene Laser capture microscopy Motor neuron RNA sequencing Rapid antibody staining Smart-seq2

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Published on: July 6, 2022

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Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Area of Science:

Molecular Biology
Genomics
Neuroscience

Background:

Analyzing gene expression in single cells from complex tissues is crucial for understanding cellular heterogeneity.
Previous methods for single-cell RNA sequencing often involve complex protocols and can compromise tissue architecture.

Purpose of the Study:

To introduce and validate LCM-seq, a novel method for single-cell RNA sequencing.
To demonstrate the simplicity, cost-effectiveness, and high performance of LCM-seq.

Main Methods:

LCM-seq combines laser capture microdissection (LCM) of single cells from frozen tissue sections with polyA-based RNA sequencing.
The protocol involves direct lysis of captured cells without RNA purification, using off-the-shelf reagents.

Main Results:

LCM-seq is highly reproducible and sensitive, outperforming previous methods.
The method preserves the integrity of tissue sections, maintaining the positional information of each sequenced cell.
LCM-seq is applicable to single neurons and other cell types.

Conclusions:

LCM-seq offers a simplified, cost-effective, and sensitive approach for single-cell RNA sequencing.
The preservation of spatial context makes LCM-seq valuable for studying tissue organization and cellular interactions.
This method advances the field of single-cell genomics and spatial transcriptomics.