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Genome (DNA) sequencing. Single-cell DNA genome sequencing involves isolating a single cell, amplifying the whole genome or region of interest, constructing sequencing libraries, and then applying next-generation DNA sequencing (for example Illumina, Ion Torrent). Single-cell DNA sequencing has been widely applied in mammalian systems to study ...
Single-cell transcriptomics. Single-cell transcriptomics examines the gene expression level of individual cells in a given population by simultaneously measuring the RNA concentration (conventionally only messenger RNA (mRNA)) of hundreds to thousands of genes. [1] Single-cell transcriptomics makes it possible to unravel heterogeneous cell ...
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 the field of cellular biology, single-cell analysis and subcellular analysis [1] is the study of genomics, transcriptomics, proteomics, metabolomics and cell–cell interactions at the single cell level.
CITE-Seq. CITE-Seq (C ellular I ndexing of T ranscriptomes and E pitopes by Seq uencing) is a method for performing RNA sequencing along with gaining quantitative and qualitative information on surface proteins with available antibodies on a single cell level. [1] So far, the method has been demonstrated to work with only a few proteins per cell.
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 .
miRNA prediction and analysis. iSRAP[141] a one-touch research tool for rapid profiling of small RNA-seq data. SPAR[142] small RNA-seq, short total RNA-seq, miRNA-seq, single-cell small RNA-seq data processing, analysis, annotation, visualization, and comparison against reference ENCODE and DASHR datasets. miRDeep2.
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