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RNA-seq

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Updated: May 25, 2026

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis.

Jing Tu¹, Qinyu Ge, Shengqin Wang

¹State Key Laboratory of Bioelectronics, Southeast University, Nanjing, 210096, China.

|January 27, 2012

Summary

This summary is machine-generated.

Pair-barcode sequencing (PBS) enables large-scale multiplexing for next-generation sequencing (NGS) of low-complexity samples. This cost-effective method allows parallel analysis of many samples, overcoming current limitations.

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Area of Science:

Genomics and Molecular Biology
Bioinformatics and Computational Biology

Background:

Next-generation sequencing (NGS) faces limitations in multiplexing, especially for low-complexity samples.
Current barcoding methods allow simultaneous analysis of only a limited number of samples.

Purpose of the Study:

To introduce Pair-Barcode Sequencing (PBS) as an economic and flexible technique for large-scale multiplexing in NGS.
To enable parallel analysis of numerous pooled samples efficiently.

Main Methods:

Developed and implemented a pair-barcode sequencing (PBS) strategy.
Utilized a combination of 4 unique forward and 8 unique reverse barcodes for library identification.
Performed pilot runs on a SOLiD sequencer, analyzing 32 independent miRNA libraries.

Main Results:

Successfully analyzed 32 pair-barcoded miRNA libraries in parallel, generating over 174 million reads.
Achieved assignment of approximately 64% of reads to both forward and reverse barcodes.
Captured distinct miRNA expression patterns from two clinical groups and demonstrated high consistency across runs and barcode pairs.

Conclusions:

Pair-Barcode Sequencing (PBS) provides a practical solution for large-scale multiplexed sample analysis in NGS.
PBS enables high-throughput sequencing to economically meet the demands of samples with low throughput requirements.
This method significantly enhances the scalability and cost-effectiveness of genomic studies.