Sasai, H. | Search bioRxiv

bioRxiv2024

A novel newborn screening modality: Non-targeted proteome analysis using low-cost iron powders

In this study, we developed a simple protein extraction method for dried blood spots (DBS) that potentially meets the throughput required for newborn screening (NBS) and optimizes non-targeted proteomic analysis in combination with liquid chromatography coupled mass spectrometry in the data-independent-acquisition mode (DIA-LC-MS/MS). The developed pipeline, termed Non-targeted Analysis of Non-specifically DBS-Absorbed proteins (NANDA), successfully addressed the following three challenges: (1) processing of 96 3.2-mm DBS punches in parallel using low-cost iron powders with a robotic system, (2) identifying more than 5,000 proteins using DIA-LC-MS/MS, and (3) improving DIA-LC-MS/MS throughput to 40 samples/day with minimal compromise in protein coverage depth. The results imply that this pipeline can open new venues for conducting NBS using non-targeted quantitative proteome profiling, which has been a currently missing modality in NBS.

molecular biology↗

bioRxiv2022

Exome-wide benchmark of difficult-to-sequence regions using short-read next-generation DNA sequencing

Next-generation DNA sequencing (NGS) in short-read mode has been recently used for genetic testing in various clinical settings. NGS data accuracy is crucial in clinical settings, and several reports regarding quality control of NGS data, focusing mostly on establishing NGS sequence read accuracy, have been published thus far. Variant calling is another critical source of NGS errors that remains mostly unexplored despite its established significance. In this study, we used a machine-learning-based method to establish an exome-wide benchmark of difficult-to-sequence regions using 10 genome sequence features on the basis of real-world NGS data accumulated in The Genome Aggregation Database (gnomAD) of the human reference genome sequence (GRCh38/hg38). We used the obtained metrics, designated "UNMET score," along with other lines of structural information of the human genome to identify difficult-to-sequence genomic regions using conventional NGS. Thus, the UNMET score could provide appropriate caveats to address potential sequential errors in protein-coding exons of the human reference genome sequence GRCh38/hg38 in clinical sequencing.

genomics↗