Literature DB >> 11904377

Analysis of cell-cycle-specific gene expression in human cells as determined by microarrays and double-thymidine block synchronization.

Kerby Shedden1, Stephen Cooper.   

Abstract

Microarray analysis of gene expression patterns for thousands of human genes has led to the proposal that a large number of genes are expressed in a cell-cycle-specific manner. The identification of cyclically expressed genes was based on Affymetrix microarray analysis of gene expression after double-thymidine block synchronization. A statistical reanalysis of the original data leads to three principal findings. (i) Randomized data exhibit periodic patterns of similar or greater strength than the experimental data. This finding suggests that all apparent cyclicities in the expression measurements may arise from chance fluctuations. (ii) The presence of cyclicity and the timing of peak cyclicity in a given gene are not reproduced in two replicate experiments. This fact suggests there is an uncontrolled source of experimental variation that is stronger than the innate variation of gene expression in cells over time. (iii) The amplitude of peak expression in the second cycle is not consistently smaller than the corresponding amplitude in the first cycle. This finding places doubt on the assumption that the cells are actually synchronized. We propose that the microarray results do not support the proposal that there are numerous cell-cycle-specifically expressed genes in human cells.

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Year:  2002        PMID: 11904377      PMCID: PMC123656          DOI: 10.1073/pnas.062569899

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  15 in total

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Authors:  S Cooper
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Review 4.  A unifying model for the G1 period in prokaryotes and eukaryotes.

Authors:  S Cooper
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Journal:  Nature       Date:  1970-01-10       Impact factor: 49.962

Review 7.  On G0 and cell cycle controls.

Authors:  S Cooper
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8.  The continuum model: statistical implications.

Authors:  S Cooper
Journal:  J Theor Biol       Date:  1982-02-21       Impact factor: 2.691

9.  Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

Authors:  P T Spellman; G Sherlock; M Q Zhang; V R Iyer; K Anders; M B Eisen; P O Brown; D Botstein; B Futcher
Journal:  Mol Biol Cell       Date:  1998-12       Impact factor: 4.138

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  31 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-07       Impact factor: 11.205

7.  Purinosome formation as a function of the cell cycle.

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Review 8.  Studying and modelling dynamic biological processes using time-series gene expression data.

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10.  Genome-wide identification of new Wnt/beta-catenin target genes in the human genome using CART method.

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Journal:  BMC Genomics       Date:  2010-06-01       Impact factor: 3.969

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