Search results
Results from the WOW.Com Content Network
For example, heterogeneous samples, rare cell types, cell lineage relationships, mosaicism of somatic tissues, analyses of microbes that cannot be cultured, and disease evolution can all be elucidated through single-cell sequencing. [5] Single-cell sequencing was selected as the method of the year 2013 by Nature Publishing Group. [6]
Each method is labelled on the bottom row. Arrows are coloured by method, showing the flow from starting material to sequence data. Adapted from [1] Single cell epigenomics is the study of epigenomics (the complete set of epigenetic modifications on the genetic material of a cell) in individual cells by single cell sequencing.
This single cell shows the process of the central dogma of molecular biology, which are all steps researchers are interested to quantify (DNA, RNA, and Protein).. In cell biology, single-cell analysis and subcellular analysis [1] refer to the study of genomics, transcriptomics, proteomics, metabolomics, and cell–cell interactions at the level of an individual cell, as opposed to more ...
G&T-seq (short for single cell genome and transcriptome sequencing) is a novel form of single cell sequencing technique allowing one to simultaneously obtain both transcriptomic and genomic data from single cells, allowing for direct comparison of gene expression data to its corresponding genomic data in the same cell...
A further consideration when sequencing large, branched cell types, such as neurons, comes from the removal of distal processes containing local pools of RNA during the single-cell isolation process. In these cells, scRNA-seq datasets only capture transcript in the central cell body, omitting transcripts from RNA pools localized to cellular ...
TCR-Seq (T-cell Receptor Sequencing) is a method used to identify and track specific T cells and their clones. [1] TCR-Seq utilizes the unique nature of a T-cell receptor (TCR) as a ready-made molecular barcode. [1] This technology can apply to both single cell sequencing technologies and high throughput screens [1]
Single-cell RNA sequencing (scRNA-Seq) provides the expression profiles of individual cells. Although it is not possible to obtain complete information on every RNA expressed by each cell, due to the small amount of material available, patterns of gene expression can be identified through gene clustering analyses .
Single-cell micrococcal nuclease sequencing (scMNase-seq) is a novel technique that is used to analyze nucleosome positioning and to infer chromatin accessibility with the use of only a single-cell input. [51] First, cells are sorted into single aliquots using fluorescence-activated cell sorting (FACS). [51]