Your browser doesn't support javascript.
loading
Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing.
Zhang, Xuan; Marand, Alexandre P; Yan, Haidong; Schmitz, Robert J.
Afiliación
  • Zhang X; Department of Genetics, University of Georgia, Athens, GA, USA.
  • Marand AP; Department of Genetics, University of Georgia, Athens, GA, USA.
  • Yan H; Current address: Department of Molecular, Cellular, and Development Biology, University of Michigan, Ann Arbor, MI, USA.
  • Schmitz RJ; Department of Genetics, University of Georgia, Athens, GA, USA.
bioRxiv ; 2024 Feb 18.
Article en En | MEDLINE | ID: mdl-37786710
ABSTRACT
Single-cell ATAC-seq has emerged as a powerful approach for revealing candidate cis-regulatory elements genome-wide at cell-type resolution. However, current single-cell methods suffer from limited throughput and high costs. Here, we present a novel technique called single-cell combinatorial fluidic indexing ATAC-sequencing ("scifi-ATAC-seq"), which combines a barcoded Tn5 pre-indexing step with droplet-based single-cell ATAC-seq using a widely commercialized microfluidics platform (10X Genomics). With scifi-ATAC-seq, up to 200,000 nuclei across multiple samples in a single emulsion reaction can be indexed, representing a ~20-fold increase in throughput compared to the standard 10X Genomics workflow.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
...