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Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels
Author(s) -
Martin Bengtsson,
Anders Ståhlberg,
Patrik Rorsman,
Mikael Kubista
Publication year - 2005
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.3820805
Subject(s) - biology , gene expression , gene , gene expression profiling , cell , log normal distribution , messenger rna , population , pancreatic islets , microbiology and biotechnology , genetics , islet , insulin , endocrinology , statistics , mathematics , demography , sociology
The transcriptional machinery in individual cells is controlled by a relatively small number of molecules, which may result in stochastic behavior in gene activity. Because of technical limitations in current collection and recording methods, most gene expression measurements are carried out on populations of cells and therefore reflect average mRNA levels. The variability of the transcript levels between different cells remains undefined, although it may have profound effects on cellular activities. Here we have measured gene expression levels of the five genes ActB, Ins1, Ins2, Abcc8, and Kcnj11 in individual cells from mouse pancreatic islets. Whereas Ins1 and Ins2 expression show a strong cell-cell correlation, this is not the case for the other genes. We further found that the transcript levels of the different genes are lognormally distributed. Hence, the geometric mean of expression levels provides a better estimate of gene activity of the typical cell than does the arithmetic mean measured on a cell population.

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