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Updated: Dec 19, 2025

Gel-seq: A Method for Simultaneous Sequencing Library Preparation of DNA and RNA Using Hydrogel Matrices
Published on: March 26, 2018
All-in-one sequencing: an improved library preparation method for cost-effective and high-throughput next-generation
Sheng Zhao1, Cuicui Zhang2, Jianqiang Mu1
1Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China.
The new all-in-one sequencing (AIO-seq) method streamlines library preparation for next-generation sequencing (NGS) by pooling up to 116 samples. This labor-saving approach enhances efficiency for large-scale genetic studies.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Next-generation sequencing (NGS) is crucial in biological research, but library preparation remains inefficient.
- Time-consuming steps like size-selection and quantification create bottlenecks, especially for large sample cohorts.
Purpose of the Study:
- To develop a more efficient library preparation method for NGS.
- To reduce labor and costs associated with processing large numbers of samples.
Main Methods:
- Introduced the all-in-one sequencing (AIO-seq) method, pooling up to 116 libraries in a single tube.
- Libraries are pooled based on expected data yields and quantified target region concentrations.
- Simplified protocol demonstrated for low-coverage sequencing data, like recombinant inbred lines (RILs), by pooling post-PCR.
Main Results:
- AIO-seq successfully applied to whole genome sequencing and RNA-seq libraries.
- Demonstrated applicability to various NGS library types, including ChIP-seq, ATAC-seq, and Hi-C.
- Simplified AIO-seq protocol validated for specific genetic population samples.
Conclusions:
- AIO-seq is a labor-saving and cost-effective method for NGS library preparation.
- The method is highly suitable for projects involving large sample cohorts, such as plant breeding and population genetics research.
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