Pierre Baldi

Improved Statistical Inference from DNA Microarray Data Using Analysis of Variance and A Bayesian Statistical Framework ANALYSIS OF GLOBAL GENE EXPRESSION IN ESCHERICHIA COLIK12

We describe statistical methods based on thet test that can be conveniently used on high density array data to test for statistically significant differences between treatments. These t tests employ either the observed variance among replicates within treatments or a Bayesian estimate of the variance among replicates within treatments based on a prior estimate obtained from a local estimate of the standard deviation. The Bayesian prior allows statistical inference to be made from microarray data even when experiments are only replicated at nominal levels. We apply these new statistical tests to a data set that examined differential gene expression patterns in IHF+ and IHF− Escherichia coli cells (Arfin, S. M., Long, A. D., Ito, E. T., Tolleri, L., Riehle, M. M., Paegle, E. S., and Hatfield, G. W. (2000) J. Biol. Chem. 275, 29672–29684). These analyses identify a more biologically reasonable set of candidate genes than those identified using statistical tests not incorporating a Bayesian prior. We also show that statistical tests based on analysis of variance and a Bayesian prior identify genes that are up- or down-regulated following an experimental manipulation more reliably than approaches based only on a t test or fold change. All the described tests are implemented in a simple-to-use web interface called Cyber-T that is located on the University of California at Irvine genomics web site.

DNA Microarrays and Gene Expression: DNA array formats

Array technologies monitor the combinatorial interaction of a set of molecules, such as DNA fragments and proteins, with a predetermined library of molecular probes. The currently most advanced of these technologies is the use of DNA arrays, also called DNA chips, for simultaneously measuring the level of the mRNA gene products of a living cell. This method, gene expression profiling, is the major topic of this book. In its most simple sense, a DNA array is defined as an orderly arrangement of tens to hundreds of thousands of unique DNA molecules (probes) of known sequence. There are two basic sources for the DNA probes on an array. Either each unique probe is individually synthesized on a rigid surface (usually glass), or pre-synthesized probes (oligonucleotides or PCR products) are attached to the array platform (usually glass or nylon membranes). The various types of DNA arrays currently available for gene expression profiling, as well as some developing technologies, are summarized here. In situ synthesized oligonucleotide arrays The first in situ probe synthesis method for manufacturing DNA arrays was the photolithographic method developed by Fodor et al . [1] and commercialized by Affymetrix Inc. (Santa Clara, CA). First, a set of oligonucleotide DNA probes (each 25 or so nucleotides in length) is defined based on its ability to hybridize to complementary sequences in target genomic loci or genes of interest. With this information, computer algorithms are used to design photolithographic masks for use in manufacturing the probe arrays.