Single Cell Multiomics protocol for processing gDNA and mRNA v1

Here, we developed an affordable single cell (sc)-multiomics approach to simultaneously extract and process gDNA and cDNA from single cells. The gDNA protocol can also be used as a standalone protocol. The cDNA part of the protocol was adopted from G&T (Macaulay et al. 2016) and uses the SMARTSeq2 technique for processing mRNA (Picelli et al. 2014). The gDNA was used to deduce copy number variation and replication timing of single cells. in cell lines. The gDNA protocol was compatible with replication timing computational pipelines like Kronos sc-RT (Gnan et. al 2022) and sc-Repliseq (Miura et. al 2020).

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.17504/protocols.io.36wgqdnwyvk5/v1
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.23
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article

Single Cell Multiomics protocol for processing gDNA and mRNA v1

Anala V. Shetty, Walter C. Low, Clifford J. Steer
1 citations
Single-cell and spatial transcriptomics
0.23
article

Single Cell Multiomics protocol for processing gDNA and mRNA v1

Anala V. Shetty, Walter C. Low, Clifford J. Steer
article en
1 citations

Abstract

Here, we developed an affordable single cell (sc)-multiomics approach to simultaneously extract and process gDNA and cDNA from single cells. The gDNA protocol can also be used as a standalone protocol. The cDNA part of the protocol was adopted from G&T (Macaulay et al. 2016) and uses the SMARTSeq2 technique for processing mRNA (Picelli et al. 2014). The gDNA was used to deduce copy number variation and replication timing of single cells. in cell lines. The gDNA protocol was compatible with replication timing computational pipelines like Kronos sc-RT (Gnan et. al 2022) and sc-Repliseq (Miura et. al 2020).

University of Minnesota (US), Stem Cell Institute (PA)
Openalex Percentile: Top 39%
Single-cell and spatial transcriptomics
0.23
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