Preview |
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
9MB |
Other (Supplementary Information)
31MB |
Item Type: | Article |
---|---|
Title: | Systematic benchmarking of single-cell ATAC-sequencing protocols |
Creators Name: | De Rop, F.V., Hulselmans, G., Flerin, C., Soler-Vila, P., Rafels, A., Christiaens, V., González-Blas, C.B., Marchese, D., Caratù, G., Poovathingal, S., Rozenblatt-Rosen, O., Slyper, M., Luo, W., Muus, C., Duarte, F., Shrestha, R., Bagdatli, S.T., Corces, M.R., Mamanova, L., Knights, A., Meyer, K.B., Mulqueen, R., Taherinasab, A., Maschmeyer, P., Pezoldt, J., Lambert, C.L.G., Iglesias, M., Najle, S.R., Dossani, Z.Y., Martelotto, L.G., Burkett, Z., Lebofsky, R., Martin-Subero, J.I., Pillai, S., Sebé-Pedrós, A., Deplancke, B., Teichmann, S.A., Ludwig, L.S., Braun, T.P., Adey, A.C., Greenleaf, W.J., Buenrostro, J.D., Regev, A., Aerts, S. and Heyn, H. |
Abstract: | Single-cell assay for transposase-accessible chromatin by sequencing (scATAC-seq) has emerged as a powerful tool for dissecting regulatory landscapes and cellular heterogeneity. However, an exploration of systemic biases among scATAC-seq technologies has remained absent. In this study, we benchmark the performance of eight scATAC-seq methods across 47 experiments using human peripheral blood mononuclear cells (PBMCs) as a reference sample and develop PUMATAC, a universal preprocessing pipeline, to handle the various sequencing data formats. Our analyses reveal significant differences in sequencing library complexity and tagmentation specificity, which impact cell-type annotation, genotype demultiplexing, peak calling, differential region accessibility and transcription factor motif enrichment. Our findings underscore the importance of sample extraction, method selection, data processing and total cost of experiments, offering valuable guidance for future research. Finally, our data and analysis pipeline encompasses 169,000 PBMC scATAC-seq profiles and a best practices code repository for scATAC-seq data analysis, which are freely available to extend this benchmarking effort to future protocols. |
Keywords: | Benchmarking, Chromatin, Chromatin Immunoprecipitation Sequencing, High-Throughput Nucleotide Sequencing, Mononuclear Leukocytes, DNA Sequence Analysis, Single-Cell Analysis, Transposases / Genetics |
Source: | Nature Biotechnology |
ISSN: | 1087-0156 |
Publisher: | Nature Publishing Group |
Volume: | 42 |
Number: | 6 |
Page Range: | 916-926 |
Date: | June 2024 |
Official Publication: | https://doi.org/10.1038/s41587-023-01881-x |
PubMed: | View item in PubMed |
Repository Staff Only: item control page