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Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing

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...

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Detalles Bibliográficos
Autores principales: Zhang, Xuan, Marand, Alexandre P, Yan, Haidong, Schmitz, Robert J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541611/
https://www.ncbi.nlm.nih.gov/pubmed/37786710
http://dx.doi.org/10.1101/2023.09.17.558155
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author Zhang, Xuan
Marand, Alexandre P
Yan, Haidong
Schmitz, Robert J
author_facet Zhang, Xuan
Marand, Alexandre P
Yan, Haidong
Schmitz, Robert J
author_sort Zhang, Xuan
collection PubMed
description 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.
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spelling pubmed-105416112023-10-02 Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing Zhang, Xuan Marand, Alexandre P Yan, Haidong Schmitz, Robert J bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-09-20 /pmc/articles/PMC10541611/ /pubmed/37786710 http://dx.doi.org/10.1101/2023.09.17.558155 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Zhang, Xuan
Marand, Alexandre P
Yan, Haidong
Schmitz, Robert J
Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
title Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
title_full Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
title_fullStr Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
title_full_unstemmed Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
title_short Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
title_sort massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541611/
https://www.ncbi.nlm.nih.gov/pubmed/37786710
http://dx.doi.org/10.1101/2023.09.17.558155
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