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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: Jan 8, 2026

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

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

Andrew Liao¹, Zehao Zhang², Andras Sziraki²

¹Laboratory of Single-Cell Genomics and Population Dynamics, the Rockefeller University, New York, NY, USA; The Tri-Institutional MD-PhD Program, New York, NY, USA.

|December 12, 2025

Summary

This summary is machine-generated.

EnrichSci is a new method to analyze rare cell types in aging tissues. It reveals aging-specific gene expression and post-transcriptional changes in oligodendrocytes, offering deeper insights into cell dynamics.

Keywords:

brain aging cell type targeted combinatorial indexing exon dynamics hybridization chain reaction isoform switching oligodendrocytes single-cell RNA sequencing splicing transcriptome dynamics

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Last Updated: Jan 8, 2026

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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

Area of Science:

Molecular Biology
Neuroscience
Genomics

Background:

Single-cell atlases identify aging- and disease-associated cell types.
These cell types are often underrepresented in tissues, hindering analysis.
Detailed molecular profiling of rare cells is crucial for understanding aging and disease.

Purpose of the Study:

To develop a scalable platform for analyzing underrepresented cell types in complex tissues.
To investigate aging-associated molecular dynamics in oligodendrocyte subtypes.
To identify novel aging signatures at the exon level.

Main Methods:

Developed EnrichSci, a microfluidics-free platform combining hybridization chain reaction RNA fluorescence in situ hybridization (FISH) with combinatorial indexing.
Applied EnrichSci to profile single-nucleus transcriptomes of oligodendrocytes in aging mouse brains.
Analyzed gene-level and exon-level expression changes.

Main Results:

EnrichSci enabled scalable profiling of target cell types with full gene-body coverage.
Uncovered aging-associated molecular dynamics in distinct oligodendrocyte subtypes.
Identified aging-associated exon-level signatures missed by conventional gene-level analyses, indicating the importance of post-transcriptional regulation.

Conclusions:

EnrichSci is a versatile approach for decoding dynamic regulatory landscapes in diverse cell types from complex tissues.
Post-transcriptional regulation plays a critical role in cell-state dynamics during aging.
The platform facilitates detailed molecular analyses of underrepresented cell populations.