Biomarker Technologies standardizes snRNA-seq workflow with four-tier QC

Biomarker Technologies (BMKGene) has outlined a four-stage quality control (QC) framework designed to improve the reliability of single-nucleus RNA sequencing (snRNA-seq). The protocol aims to mitigate technical errors that often occur during sample preparation, which can otherwise compromise the final gene expression data.

The framework monitors the workflow at four key points: initial sample condition, nuclear suspension integrity, cDNA library quality, and final sequencing data output. By assessing the RNA integrity and nuclear concentration prior to library construction, the company seeks to reduce issues such as ambient RNA contamination and the formation of multiplets, which can distort results.

In snRNA-seq, the quality of the raw input is a common bottleneck. Issues such as degraded RNA or cellular debris can propagate through the analytical pipeline, leading to lower-than-expected nucleus recovery. BMKGene’s approach emphasizes that early intervention through rigorous QC checkpoints is essential for maintaining the integrity of the biological insights derived from the sequencing process.

The company indicates that this systematic approach is intended to provide a more consistent standard for researchers, helping to manage challenging sample types and ensuring that the final data output meets the necessary thresholds for scientific interpretation.