2020
DOI: 10.1038/s41576-020-00308-6
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SHARE-seq reveals chromatin potential

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Cited by 8 publications
(6 citation statements)
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“…MoClust can also be applied on scRNA-seq and scEpigenome data for integrative analysis. We examined MoClust on three published datasets, including SNARE-seq datasets CellLine and 10XPBMC, as well as SHARE-seq ( Clyde, 2020 ) dataset Ma-2020. The detailed information of these datasets is listed in the Supplementary Information .…”
Section: Resultsmentioning
confidence: 99%
“…MoClust can also be applied on scRNA-seq and scEpigenome data for integrative analysis. We examined MoClust on three published datasets, including SNARE-seq datasets CellLine and 10XPBMC, as well as SHARE-seq ( Clyde, 2020 ) dataset Ma-2020. The detailed information of these datasets is listed in the Supplementary Information .…”
Section: Resultsmentioning
confidence: 99%
“…A PREPRINT -FEBRUARY 17, 2024 SNARE-seq [12] and SHARE-seq [13] (joint measurement of chromatin accessibility and transcriptome in single-cells or nuclei). All these technologies facilitate deeper understanding of the cellular identity and processes in organs and tissues.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, joint sequencing technologies have come up, which allow simultaneous measurement of more than one modalities thereby offering multiple views of the same cells of interest. These technologies include CITE-seq [6], REAP-seq [7] (joint measurement of proteins and transcriptome), scM&T-seq [8], scMT-seq [9], scTrio-seq [10] (simultaneous measurement of methylome and trascriptome), and sci-CAR [11], SNARE-seq [12] and SHARE-seq [13] (joint measurement of chromatin accessibility and transcriptome in single-cells or nuclei). All these technologies facilitate deeper understanding of the cellular identity and processes in organs and tissues.…”
Section: Introductionmentioning
confidence: 99%
“…Cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) [4] and RNA expression and protein sequencing (REAP-seq) [5] measure protein and gene expression. Single-nucleus chromatin accessibility and mRNA expression sequencing (SNARE-seq) [5] , [6] , simultaneous high-throughput ATAC and RNA expression with sequencing (SHARE-seq) [7] , and single-cell combinatorial profiling of chromatin accessibility and mRNA (sci-CAR) [8] measure gene expression and chromatin accessibility, while single-cell sequencing of gene expression and methylation (scGEM) [9] measures gene expression and DNA methylation and genome and transcriptome sequencing (G&T-seq) [10] assays genome and transcriptome. For triple-omics data generation, single-cell nucleosome, methylation, and transcription sequencing (scNMT) [11] measures gene expression, chromatin accessibility, and DNA methylation, while single-cell triple-omics sequencing (scTrio-seq) [9] , [12] captures single nucleotide polymorphisms (SNPs), gene expression, and DNA methylation simultaneously.…”
Section: Introductionmentioning
confidence: 99%