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Daniel A Peiffer

Publications and source records attributed to Daniel A Peiffer.

6 recordsLinked to original sources

High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping.

Array-CGH is a powerful tool for the detection of chromosomal aberrations. The introduction of high-density SNP genotyping technology to genomic profiling, termed SNP-CGH, represents a further advance, since simultaneous measurement of both signal intensity variations and changes in allelic composition makes it possible to detect both copy number changes and copy-neutral loss-of-heterozygosity (LOH) events. We demonstrate the utility of SNP-CGH with two Infinium whole-genome genotyping BeadChips, assaying 109,000 and 317,000 SNP loci, to detect chromosomal aberrations in samples bearing constitutional aberrations as well tumor samples at sub-100 kb effective resolution. Detected aberrations include homozygous deletions, hemizygous deletions, copy-neutral LOH, duplications, and amplifications. The statistical ability to detect common aberrations was modeled by analysis of an X chromosome titration model system, and sensitivity was modeled by titration of gDNA from a tumor cell with that of its paired normal cell line. Analysis was facilitated by using a genome browser that plots log ratios of normalized intensities and allelic ratios along the chromosomes. We developed two modes of SNP-CGH analysis, a single sample and a paired sample mode. The single sample mode computes log intensity ratios and allelic ratios by referencing to canonical genotype clusters generated from approximately 120 reference samples, whereas the paired sample mode uses a paired normal reference sample from the same individual. Finally, the two analysis modes are compared and contrasted for their utility in analyzing different types of input gDNA: low input amounts, fragmented gDNA, and Phi29 whole-genome pre-amplified DNA.

Cell Line, Tumor↗

Schnurri transcription factors from Drosophila and vertebrates can mediate Bmp signaling through a phylogenetically conserved mechanism.

Bone Morphogenetic Proteins (Bmps) are secreted growth factors that play crucial roles in animal development across the phylogenetic spectrum. Bmp signaling results in the phosphorylation and nuclear translocation of Smads, downstream signal transducers that bind DNA. In Drosophila, the zinc finger protein Schnurri (Shn) plays a key role in signaling by the Bmp2/Bmp4 homolog Decapentaplegic (Dpp), by forming a Shn/Smad repression complex on defined promoter elements in the brinker (brk) gene. Brk is a transcriptional repressor that downregulates Dpp target genes. Thus, brk inhibition by Shn results in the upregulation of Dpp-responsive genes. We present evidence that vertebrate Shn homologs can also mediate Bmp responsiveness through a mechanism similar to Drosophila Shn. We find that a Bmp response element (BRE) from the Xenopus Vent2 promoter drives Dpp-dependent expression in Drosophila. However, in sharp contrast to its activating role in vertebrates, the frog BRE mediates repression in Drosophila. Remarkably, despite these opposite transcriptional polarities, sequence changes that abolish cis-element activity in Drosophila also affect BRE function in Xenopus. These similar cis requirements reflect conservation of trans-acting factors, as human Shn1 (hShn1; HIVEP1) can interact with Smad1/Smad4 and assemble an hShn1/Smad complex on the BRE. Furthermore, both Shn and hShn1 activate the BRE in Xenopus embryos, and both repress brk and rescue embryonic patterning defects in shn mutants. Our results suggest that vertebrate Shn proteins function in Bmp signal transduction, and that Shn proteins recruit coactivators and co-repressors in a context-dependent manner, rather than acting as dedicated activators or repressors.

Animals↗

Phylogenetic footprinting and genome scanning identify vertebrate BMP response elements and new target genes.

The complex gene regulatory networks governed by growth factor signaling are still poorly understood. In order to accelerate the rate of progress in uncovering these networks, we explored the usefulness of interspecies sequence comparison (phylogenetic footprinting) to identify conserved growth factor response elements. The promoter regions of two direct target genes of Bone Morphogenetic Protein (BMP) signaling in Xenopus, Xvent2 and XId3, were compared with the corresponding human and/or mouse counterparts to identify conserved sequences. A comparison between the Xenopus and human Vent2 promoter sequences revealed a highly conserved 21 bp sequence that overlaps the previously reported Xvent2 BMP response element (BRE). Reporter gene assays using Xenopus animal pole ectodermal explants (animal caps) revealed that this conserved 21 bp BRE is both necessary and sufficient for BMP responsiveness. We combine the same phylogenetic footprinting approach with luciferase assays to identify a highly conserved 49 bp BMP responsive region in the Xenopus Id3 promoter. GFP reporters containing multimers of either the Xvent2 or XId3 BREs appear to recapitulate endogenous BMP signaling activity in transgenic Xenopus embryos. Comparison of the Xvent2 and the XId3 BRE revealed core sequence features that are both necessary and sufficient for BMP responsiveness: a Smad binding element (SBE) and a GC-rich element resembling an OAZ binding site. Based on these findings, we have implemented genome scanning to identify over 100 additional putative target genes containing 2 or more BRE-like sequences which are conserved between human and mouse. RT-PCR and in situ analyses revealed that this in silico approach can effectively be used to identify potential BMP target genes.

Animals↗

Identification of neural genes using Xenopus DNA microarrays.

To isolate novel genes regulating neural induction, we used a DNA microarray approach. As neural induction is thought to occur by means of the inhibition of bone morphogenetic protein (BMP) signaling, BMP signaling was inhibited in ectodermal cells by overexpression of a dominant-negative receptor. RNAs were isolated from control animal cap explants and from dominant-negative BMP receptor expressing animal caps and subjected to a microarray experiment using newly generated high-density Xenopus DNA microarray chips representing over 17,000 unigenes. We have identified 77 genes that are induced in animal caps after inhibition of BMP signaling, and all of these genes were subjected to whole-mount in situ hybridization analysis. Thirty-two genes showed specific expression in neural tissues. Of the 32, 14 genes have never been linked to neural induction. Two genes that are highly induced by BMP inhibition are inhibitors of Wnt signaling, suggesting that a key step in neural induction is to produce Wnt antagonists to promote anterior neural plate development. Our current analysis also proves that a microarray approach is useful in identifying novel candidate factors involved in neural induction and patterning.

Animals↗

A Xenopus DNA microarray approach to identify novel direct BMP target genes involved in early embryonic development.

Bone morphogenetic proteins (BMPs), a subgroup of the transforming growth factor-beta (TGF-beta) superfamily, were originally isolated from bone on the basis of their ability to induce ectopic bone development. Although BMPs are involved in a wide range of developmental and physiological functions, very few vertebrate target genes in this pathway have been identified. To identify target genes regulated by the BMP growth factor family in Xenopus, large-scale microarray analyses were conducted to discover genes directly activated by this factor in dissociated animal cap tissues treated with a combination of the protein synthesis inhibitor cycloheximide and BMP2. Consequent expression patterns and behaviors of the most highly induced genes were analyzed by in situ and reverse transcriptase-polymerase chain reaction analyses. Here, we describe two sets of the most highly induced direct BMP target genes identified using microarrays prepared from two different stages of early Xenopus development. A wide variety of genes are induced by BMP2, ranging from cell cycle controllers, enzymes, signal transduction cascade components, and components of the blood and vascular system. The finding reinforces the notion that BMP signals play important roles in a variety of biological processes.

Animals↗

Microarray optimizations: increasing spot accuracy and automated identification of true microarray signals.

In this paper, fluorescent microarray images and various analysis techniques are described to improve the microarray data acquisition processes. Signal intensities produced by rarely expressed genes are initially correctly detected, but they are often lost in corrections for background, log or ratio. Our analyses indicate that a simple correlation between the mean and median signal intensities may be the best way to eliminate inaccurate microarray signals. Unlike traditional quality control methods, the low intensity signals are retained and inaccurate signals are eliminated in this mean and median correlation. With larger amounts of microarray data being generated, it becomes increasingly more difficult to analyze data on a visual basis. Our method allows for the automatic quantitative determination of accurate and reliable signals, which can then be used for normalization. We found that a mean to median correlation of 85% or higher not only retains more data than current methods, but the retained data is more accurate than traditional thresholds or common spot flagging algorithms. We have also found that by using pin microtapping and microvibrations, we can control spot quality independent from initial PCR volume.

Animals↗