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Single Cell Analysis: From Technology to Biology and Medicine
Author(s) -
Xinghua Pan
Publication year - 2015
Publication title -
journal of single cell genomics and proteomics
Language(s) - English
Resource type - Journals
ISSN - 2168-9431
DOI - 10.4172/2168-9431.1000106
Subject(s) - computational biology , epigenomics , proteomics , biology , genomics , single cell analysis , systems biology , identification (biology) , population , transcriptome , single cell sequencing , bioinformatics , cell , genetics , phenotype , genome , gene , exome sequencing , medicine , dna methylation , gene expression , botany , environmental health
Single-cell analysis heralds a new era that allows "omics" analysis, notably genomics, transcriptomics, epigenomics and proteomics at the single-cell level. It enables the identification of the minor subpopulations that may play a critical role in a biological process of a population of cells, which conventionally are regarded as homogeneous. It provides an ultra-sensitive tool to clarify specific molecular mechanisms and pathways and reveal the nature of cell heterogeneity. It also facilitates the clinical investigation of patients when a very low quantity or a single cell is available for analysis, such as noninvasive prenatal diagnosis and cancer screening, and genetic evaluation for in vitro fertilization. Within a few short years, single-cell analysis, especially whole genomic sequencing and transcriptomic sequencing, is becoming robust and broadly accessible, although not yet a routine practice. Here, with single cell RNA-seq emphasized, an overview of the discipline, progresses, and prospects of single-cell analysis and its applications in biology and medicine are given with a series of logic and theoretical considerations.

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