Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.

bioRxiv : the preprint server for biology·2026

Same author

Optics-free spatial genomics for mapping mammalian brain aging by IRISeq.

Nature neuroscience·2026

Same author

Mapping convergent regulators of melanoma drug resistance by PerturbFate.

Nature·2026

Same author

Meet the author: Junyue Cao.

Cell genomics·2026

Same author

Organism-wide cellular dynamics and epigenomic remodeling in mammalian aging.

Science (New York, N.Y.)·2026

Same author

Transcript-guided targeted cell enrichment for scalable single-nucleus RNA sequencing.

Cell genomics·2025

Search research articles

Related Experiment Video

Updated: Sep 15, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

EnrichSci: Transcript-guided Targeted Cell Enrichment for Scalable Single-Cell RNA Sequencing.

Andrew Liao^1,2, Zehao Zhang^1,3, Andras Sziraki^1,3

¹Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.

Biorxiv : the Preprint Server for Biology

|July 14, 2025

Summary

EnrichSci enables detailed single-nucleus transcriptome analysis of rare cell types, revealing aging-specific gene and exon changes in mouse brain oligodendrocytes.

More Related Videos

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Target Cell Pre-enrichment and Whole Genome Amplification for Single Cell Downstream Characterization

Target Cell Pre-enrichment and Whole Genome Amplification for Single Cell Downstream Characterization

Published on: May 15, 2018

Related Experiment Videos

Last Updated: Sep 15, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Target Cell Pre-enrichment and Whole Genome Amplification for Single Cell Downstream Characterization

Target Cell Pre-enrichment and Whole Genome Amplification for Single Cell Downstream Characterization

Published on: May 15, 2018

Area of Science:

Genomics
Neuroscience
Molecular Biology

Background:

Large-scale single-cell atlases identify aging/disease-associated cell types.
These cell types are often underrepresented in tissues, hindering detailed analysis.

Purpose of the Study:

To develop a scalable platform for profiling underrepresented cell types.
To analyze molecular dynamics in aging oligodendrocytes with high resolution.

Main Methods:

Developed EnrichSci: a microfluidics-free platform combining Hybridization Chain Reaction (HCR) RNA FISH and combinatorial indexing.
Applied EnrichSci to profile single-nucleus transcriptomes of oligodendrocytes in aging mouse brains.
Achieved full gene-body coverage for targeted cell type analysis.

Main Results:

Uncovered aging-associated molecular dynamics in distinct oligodendrocyte subtypes.
Identified shared and subtype-specific gene expression changes during aging.
Detected aging-associated exon-level signatures missed by conventional gene-level analyses.
Highlighted the role of post-transcriptional regulation in aging cell-state dynamics.

Conclusions:

EnrichSci is a versatile platform for decoding dynamic regulatory landscapes in targeted cell types from complex tissues.
The study reveals critical insights into oligodendrocyte aging at both gene and exon levels.
Emphasizes the importance of post-transcriptional regulation in cellular aging processes.