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Alexandre Blais

Publications and source records attributed to Alexandre Blais.

10 recordsLinked to original sources

Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip data.

UNLABELLED: We present a fast, versatile and adaptive-multiscale algorithm for analyzing a wide-variety of DNA microarray data. Its primary application is in normalization of array data as well as subsequent identification of 'enriched targets', e.g. differentially expressed genes in expression profiling arrays and enriched sites in ChIP-on-chip experimental data. We show how to accommodate the unique characteristics of ChIP-on-chip data, where the set of 'enriched targets' is large, asymmetric and whose proportion to the whole data varies locally. SUPPLEMENTARY INFORMATION: Supplementary figures, related preprint, free software as well as our raw DNA microarray data with PCR validations are available at http://www.math.umn.edu/~lerman/supp/bioinfo06 as well as Bioinformatics online.

Algorithms↗

ASK-1 (apoptosis signal-regulating kinase 1) is a direct E2F target gene.

In the present study, we show that E2Fs (E2 promoter-binding factors) regulate the expression of ASK-1 (apoptosis signal-regulating kinase 1), which encodes a mitogen-activated protein kinase kinase kinase, also known as MAP3K5. Its mRNA expression is cell-cycle-regulated in human T98G cells released from serum starvation. Moreover, overexpression and RNA interference experiments support the requirement of endogenous E2F/DP (E2F dimerization partner) activity for ASK-1 expression. Characterization of the human ASK-1 promoter demonstrates that the -95/+11 region is critical for E2F-mediated up-regulation. Chromatin immunoprecipitation assays show that E2F1-E2F4 are bound in vivo to the ASK-1 promoter in cycling cells, probably through a non-consensus E2F-binding site located 12 bp upstream of the transcription start site. Mutation of this site completely abolishes the ASK-1 promoter response to E2Fs as well as the E2F1 binding in electrophoretic mobility-shift experiments. Our results indicate that E2Fs modulate the expression of ASK-1 and suggest that some of the cellular functions of ASK-1 may be under the control of E2F transcription factors. Moreover, the up-regulation of ASK-1 may also favour the p53-independent E2F1 apoptotic activity.

Binding Sites↗

Constructing transcriptional regulatory networks.

Biological networks are the representation of multiple interactions within a cell, a global view intended to help understand how relationships between molecules dictate cellular behavior. Recent advances in molecular and computational biology have made possible the study of intricate transcriptional regulatory networks that describe gene expression as a function of regulatory inputs specified by interactions between proteins and DNA. Here we review the properties of transcriptional regulatory networks and the rapidly evolving approaches that will enable the elucidation of their structure and dynamic behavior. Several recent studies illustrate how complementary approaches combine chromatin immunoprecipitation (ChIP)-on-chip, gene expression profiling, and computational methods to construct blueprints for the initiation and maintenance of complex cellular processes, including cell cycle progression, growth arrest, and differentiation. These approaches should allow us to elucidate complete transcriptional regulatory codes for yeast as well as mammalian cells.

Animals↗

An initial blueprint for myogenic differentiation.

We have combined genome-wide transcription factor binding and expression profiling to assemble a regulatory network controlling the myogenic differentiation program in mammalian cells. We identified a cadre of overlapping and distinct targets of the key myogenic regulatory factors (MRFs)--MyoD and myogenin--and Myocyte Enhancer Factor 2 (MEF2). We discovered that MRFs and MEF2 regulate a remarkably extensive array of transcription factor genes that propagate and amplify the signals initiated by MRFs. We found that MRFs play an unexpectedly wide-ranging role in directing the assembly and usage of the neuromuscular junction. Interestingly, these factors also prepare myoblasts to respond to diverse types of stress. Computational analyses identified novel combinations of factors that, depending on the differentiation state, might collaborate with MRFs. Our studies suggest unanticipated biological insights into muscle development and highlight new directions for further studies of genes involved in muscle repair and responses to stress and damage.

Cell Differentiation↗

Devising transcriptional regulatory networks operating during the cell cycle and differentiation using ChIP-on-chip.

The study of global transcriptional regulatory networks in eukaryotes has advanced rapidly in the last five years with the advent of genomic microarrays that allow investigators to comprehensively scrutinize the structure and composition of transcriptomes and chromatin. Many facets of this field have benefited from an examination of the location of proteins associated with chromatin. We describe here how we have used genomic arrays to perform location analysis (or ChIP-on-chip analysis) of regulatory factors that control the complex process of cell cycle progression and differentiation, in order to identify key direct transcriptional targets. Combining this information with data obtained through expression profiling and computational analysis of transcription factor binding sites has also allowed us to devise transcriptional regulatory networks governing these processes.

Animals↗

A common set of gene regulatory networks links metabolism and growth inhibition.

Using genome-wide analysis of transcription factor occupancy, we investigated the mechanisms underlying three mammalian growth arrest pathways that require the pRB tumor suppressor family. We found that p130 and E2F4 cooperatively repress a common set of genes under each growth arrest condition and showed that growth arrest is achieved through repression of a core set of genes involved not only in cell cycle control but also mitochondrial biogenesis and metabolism. Motif-finding algorithms predicted the existence of nuclear respiratory factor-1 (NRF1) binding sites in E2F target promoters, and genome-wide factor binding analysis confirmed our predictions. We showed that NRF1, a factor known to regulate expression of genes involved in mitochondrial function, is a coregulator of a large number of E2F target genes. Our studies provide insights into E2F regulatory circuitry, suggest how factor occupancy can predict the expression signature of a given target gene, and reveal pathways deregulated in human tumors.

Amino Acid Motifs↗

Hitting their targets: an emerging picture of E2F and cell cycle control.

Understanding the role of transcription factors in governing cell-cycle progression in mammalian cells has been hindered until recently by a relative lack of genetic and genomic approaches. New approaches that harness the power of ChIP and combine this technique with DNA microarrays and bioinformatics have identified direct, physiological targets and have significantly altered our view of the E2F transcription factor that is known to play a role in regulation of cell-cycle progression. Further, the identification of additional E2F family members and factors that function in concert with E2F have considerably expanded our picture of the genetic programs that are governed by this essential regulatory factor.

Animals↗

Tunable coupling of superconducting qubits.

We study an LC circuit implemented using a current-biased Josephson junction (CBJJ) as a tunable coupler for superconducting qubits. By modulating the bias current, the junction can be tuned in and out of resonance and entangled with the qubits coupled to it. One can thus implement two-qubit operations by mediating entanglement. We consider the examples of CBJJ and charge-phase qubits. A simple recoupling scheme leads to a generalization to arbitrary qubit designs.

Journal Article↗

Overexpression of a dominant negative type II bone morphogenetic protein receptor inhibits the growth of human breast cancer cells.

Bone morphogenetic proteins (BMPs) exert cell type-specific effects on cell proliferation. To clarify the role of the BMP pathway in human breast cancer cells, we used a dominant negative strategy with a truncated human type II BMP receptor (DN-BMPRII; amino acid 1-172) fused to the NH2 terminus of enhanced green fluorescent protein. Transient overexpression of DN-BMPRII interfered with BMP-2-induced Smad1 transcriptional activity and caused cells to accumulate in G1. Stable cell lines that constitutively overexpressed DN-BMPRII were resistant to BMP-2-induced Smad1 phosphorylation and proliferated much more slowly than control stable cell lines. These results suggest that BMPs interacting with type II BMP receptors contribute to the proliferation and/or survival of human breast cancer cells.

Bone Morphogenetic Protein 2↗

Regulation of the human cyclin-dependent kinase inhibitor p18INK4c by the transcription factors E2F1 and Sp1.

The p18(INK4c) cyclin-dependent kinase inhibitor is an important regulator of cell cycle progression and cellular differentiation. We and others found that overexpressed E2F proteins up-regulate p18 expression. To better understand this phenomenon, we performed a functional analysis of the human p18 promoter. Deletion studies revealed that the E2F-responsive elements of the promoter are located within 131 bp upstream of the transcription start site. This region contains putative Sp1- and E2F-binding sites. Mutational inactivation of these elements revealed that the Sp1 sites were important for the basal activity of the promoter but could also mediate the effects of E2F1 on the p18 promoter. Moreover, we found that E2F1 and Sp1 can synergistically enhance the activity of the proximal p18 promoter. Gel shift analyses using p18 promoter-derived probes led to the identification of several multiprotein complexes that were found to contain different combinations of E2F proteins and/or Sp1. Recombinant E2F1 was also capable of binding to the E2F-binding sites. Chromatin immunoprecipitation experiments demonstrated that E2F1 and E2F4 associate with the p18 promoter in unperturbed cells. Based on these findings, we conclude that E2F proteins and Sp1 play an important role in the control of p18 expression.

Adenocarcinoma↗