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- Simultaneous single-cell three-dimensional genome and gene expression . . .
A scRNA-seq library was prepared according to the 10x Genomics guidance using the Single-cell Gene Expression 5′ RNA-seq kit v 1 1 (CG000331_ChromiumNextGEMSingleCell5-v2_UserGuide_RevE)
- Single-Cell Gene Expression Profiling | Science - AAAS
The average cell assayed had 3 2 different genes activated with a total of only 4 0 transcription sites; single allele expression outnumbered the expression of both alleles by a ratio of 3 to 1 By 40 min of induction, the distribution was even: Cells averaged 3 4 genes with a single allele and 2 8 with both alleles active, a total of 9 0 sites
- scRNASeqDB - University of Texas Health Science Center at Houston
Single-cell RNA-Seq (scRNA-seq) are an emerging method which facilitates to explore the comprehensive transcriptome in a single cell To provide a useful and unique reference resource for biology and medicine, we developed the scRNASeqDB database, which contains 36 human single cell gene expression data sets collected from Gene Expression
- Gene expression profiling of single cells from archival tissue with . . .
Gene expression profiling on bulk and single-cell samples from FFPE tissue dissected by LCM (A) After single-cell RNA-seq, expression profiles are used to retroactively infer categories of cells In forward RNA-seq, cells are dissected in situ according to their histology, so these a priori classes can inform differential gene expression
- A Comprehensive Guide to Single-Cell Gene Expression Profiling
Single-cell gene expression profiling is fundamentally reshaping our understanding of biology at a granular level Unlike conventional bulk RNA sequencing, which smooths out the complexities by averaging gene expression across a broad group of cells, single-cell profiling digs deep into the gene activity of individual cells
- Chromatin Potential Identified by Shared Single-Cell Profiling of RNA . . .
Here we investigate the dynamics of the epigenomic and transcriptomic basis of cellular differentiation by developing simultaneous high-throughput ATAC (Buenrostro et al , 2013) and RNA expression with sequencing (SHARE-seq) for individual or joint measures of single-cell chromatin accessibility and gene expression at low cost and on a massive
- A deep generative model for multi-view profiling of single-cell RNA-seq . . .
Here, we present a multi-modal deep generative model, the single-cell Multi-View Profiler (scMVP), which is designed for handling sequencing data that simultaneously measure gene expression and chromatin accessibility in the same cell, including SNARE-seq, sci-CAR, Paired-seq, SHARE-seq, and Multiome from 10X Genomics scMVP generates common latent representations for dimensionality reduction
- Universal 3 Gene Expression - 10x Genomics
Single-cell RNA-seq reveals cell type–specific molecular and genetic associations to lupus Science, 2022 Richard K Perez, et al Read on PubMed Combined profiling of 3' gene expression and chromatin accessibility from the same cell Learn more Epi ATAC Chromatin accessibilility profiling at the single cell level
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