GEO DataSets

(Submitter supplied) Parallel single-cell multimodal sequencing is the most intuitive and precise tool for cellular status research. In this study, we propose AMAR-seq to automate methylation, chromatin accessibility and RNA sequencing on a chip with single-cell precision. We validated the accuracy and robustness of AMAR-seq in comparison with standard single-omics methods. The high gene detection rate and genome coverage of AMAR-seq enabled us to establish a genome-wide gene expression regulatory atlas, implement single-cell copy number variation analysis, and construct a single-gene, single-base resolution gene expression, DNA methylation, and chromatin accessibility landscape. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Other

Platforms:

GPL24247 GPL24676

83 Samples

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