Unknown

Dataset Information

0

Txci-ATAC-seq: a massive-scale single-cell technique to profile chromatin accessibility.


ABSTRACT: We develop a large-scale single-cell ATAC-seq method by combining Tn5-based pre-indexing with 10× Genomics barcoding, enabling the indexing of up to 200,000 nuclei across multiple samples in a single reaction. We profile 449,953 nuclei across diverse tissues, including the human cortex, mouse brain, human lung, mouse lung, mouse liver, and lung tissue from a club cell secretory protein knockout (CC16-/-) model. Our study of CC16-/- nuclei uncovers previously underappreciated technical artifacts derived from remnant 129 mouse strain genetic material, which cause profound cell-type-specific changes in regulatory elements near many genes, thereby confounding the interpretation of this commonly referenced mouse model.

SUBMITTER: Zhang H 

PROVIDER: S-EPMC10958877 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

txci-ATAC-seq: a massive-scale single-cell technique to profile chromatin accessibility.

Zhang Hao H   Mulqueen Ryan M RM   Iannuzo Natalie N   Farrera Dominique O DO   Polverino Francesca F   Galligan James J JJ   Ledford Julie G JG   Adey Andrew C AC   Cusanovich Darren A DA  

Genome biology 20240322 1


We develop a large-scale single-cell ATAC-seq method by combining Tn5-based pre-indexing with 10× Genomics barcoding, enabling the indexing of up to 200,000 nuclei across multiple samples in a single reaction. We profile 449,953 nuclei across diverse tissues, including the human cortex, mouse brain, human lung, mouse lung, mouse liver, and lung tissue from a club cell secretory protein knockout (CC16<sup>-/-</sup>) model. Our study of CC16<sup>-/-</sup> nuclei uncovers previously underappreciate  ...[more]

Similar Datasets

2023-10-20 | GSE245957 | GEO
2023-10-25 | GSE231708 | GEO
| S-EPMC8568974 | biostudies-literature
| PRJNA1030440 | ENA
| PRJNA967328 | ENA
| S-EPMC9189070 | biostudies-literature
| S-EPMC10299900 | biostudies-literature
| S-EPMC10541611 | biostudies-literature
| S-EPMC7874078 | biostudies-literature