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Updated: Feb 4, 2026

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Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
Published on: October 27, 2011
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Efficient Production of On-Target Reads for Small RNA Sequencing of Single Cells Using Modified Adapters
Ruba Khnouf1,2, Sabrina Shore3, Crystal M Han4,5
1Department of Mechanical Engineering , Stanford University , Stanford , California 94305 , United States.
Analytical Chemistry
|September 28, 2018
Summary
We developed two novel single-cell lysis methods for small RNA sequencing (sc-sRNA-seq), overcoming challenges in small RNA amplification and detection. These methods enable sensitive profiling of microRNA expression in individual cells.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Single-cell mRNA sequencing is established for cellular heterogeneity studies.
- Single-cell small RNA sequencing (sc-sRNA-seq) is challenging due to low abundance and amplification bias of small RNAs.
Purpose of the Study:
- To develop and validate novel single-cell lysis methods for enabling sc-sRNA-seq.
- To demonstrate the capability of these methods for detecting microRNA expression at the single-cell level.
Main Methods:
- Two single-cell lysis techniques were developed: chemical lysis with freezing and on-chip electrical lysis with isotachophoresis.
- These methods were coupled with off-chip small RNA library preparation using CleanTag adapters to minimize adapter dimers.
- sc-sRNA-seq was performed on single K562 human leukemic cells.
Main Results:
- The developed methods offer a short hands-on time of 6 hours and efficient generation of on-target reads.
- Successful detection of microRNA (miRNA) with a wide range of abundances (10 to 16,000 copies/cell) was achieved.
- The methods demonstrated robust performance in single K562 cell analysis.
Conclusions:
- The presented single-cell lysis approaches facilitate robust and sensitive sc-sRNA-seq.
- These methods open new avenues for exploring cellular heterogeneity via small RNA expression profiling.
- This advancement is crucial for understanding regulatory mechanisms involving small RNAs in diverse cell populations.
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