ABC-seq Expands Small RNAs Profiling with Successive Nucleic Acid Structure-Differentiated Enzymatic Recognition

Area of Science:

• Molecular Biology
• Genomics
• Biotechnology

Background:

• Small RNAs (smRNAs) are critical regulators of gene expression.
• Current sequencing technologies struggle with adapter ligation bias, adapter dimers, and amplification variability, limiting smRNA diversity capture.
• Accurate smRNA profiling is essential for understanding gene regulation and disease mechanisms.

Purpose of the Study:

• To develop a novel sequencing strategy, ABC-seq, to overcome limitations in current smRNA sequencing methods.
• To enhance the recognition and quantification of diverse small RNA species.
• To improve the accuracy of smRNA-seq data analysis by mitigating amplification stochasticity.

Main Methods:

• Designed randomized adapters to minimize ligation bias and improve recognition of various smRNA species.
• Employed two structure-differentiated enzymatic reactions to suppress adapter dimer formation.
• Utilized randomized adapter sequences as unique molecular identifiers (UMIs) to correct for amplification variability.

Main Results:

• ABC-seq identified a broader range of smRNAs, including miRNAs, scRNAs, and snoRNAs, in hypertrophic cardiomyocytes.
• Detected 9.4% more microRNAs (miRNAs) compared to traditional sequencing methods.
• Revealed novel smRNAs linked to cancer drug responses and immune modulation in non-small cell lung cancer.

Conclusions:

• ABC-seq significantly expands the detectable smRNA landscape.
• This method provides enhanced accuracy and a wider scope for smRNA profiling.
• ABC-seq offers valuable insights into complex gene regulatory networks in health and disease.