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      Foxf Genes Integrate Tbx5 and Hedgehog Pathways in the Second Heart Field for Cardiac Septation

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          Abstract

          The Second Heart Field (SHF) has been implicated in several forms of congenital heart disease (CHD), including atrioventricular septal defects (AVSDs). Identifying the SHF gene regulatory networks required for atrioventricular septation is therefore an essential goal for understanding the molecular basis of AVSDs. We defined a SHF Hedgehog-dependent gene regulatory network using whole genome transcriptional profiling and GLI-chromatin interaction studies. The Forkhead box transcription factors Foxf1a and Foxf2 were identified as SHF Hedgehog targets. Compound haploinsufficiency for Foxf1a and Foxf2 caused atrioventricular septal defects, demonstrating the biological relevance of this regulatory network. We identified a Foxf1a cis-regulatory element that bound the Hedgehog transcriptional regulators GLI1 and GLI3 and the T-box transcription factor TBX5 in vivo. GLI1 and TBX5 synergistically activated transcription from this cis-regulatory element in vitro. This enhancer drove reproducible expression in vivo in the posterior SHF, the only region where Gli1 and Tbx5 expression overlaps. Our findings implicate Foxf genes in atrioventricular septation, describe the molecular underpinnings of the genetic interaction between Hedgehog signaling and Tbx5, and establish a molecular model for the selection of the SHF gene regulatory network for cardiac septation.

          Author Summary

          Atrioventricular septal defects (AVSDs) are a common severe class of congenital heart defects. Recent work demonstrates that events in the second heart field (SHF) progenitors, rather than in the heart, drive atrioventricular (AV) septation. Our laboratory has shown that both Hedgehog signaling and the T-box transcription factor, Tbx5, are required in the SHF for AV septation. To understand the molecular underpinnings of the AV septation process we investigated SHF Hedgehog-dependent gene regulatory networks. Transcriptional profiling and chromatin interaction assays identified the Forkhead box transcription factors Foxf1a and Foxf2 as SHF Hedgehog targets. Compound haploinsufficiency for Foxf1a and Foxf2 caused AVSDs in mice, demonstrating the biological relevance of this pathway. We identified a cis-regulatory element at Foxf1a that bound TBX5 and Hedgehog transcriptional regulators GLI1 and GLI3 in-vivo. Furthermore, TBX5 and Gli1 co-activate transcription of the identified cis-regulatory element in-vitro. The enhancer is expressed primarily in the pSHF in-vivo, where Tbx5 and Gli1 expression overlap. Our findings implicate Foxf1a and Foxf2 in AV septation and establish Tbx5 and Hedgehog signaling upstream of Foxf genes in a gene regulatory network for cardiac septation.

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          Most cited references28

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          Variance stabilization applied to microarray data calibration and to the quantification of differential expression.

          We introduce a statistical model for microarray gene expression data that comprises data calibration, the quantification of differential expression, and the quantification of measurement error. In particular, we derive a transformation h for intensity measurements, and a difference statistic Deltah whose variance is approximately constant along the whole intensity range. This forms a basis for statistical inference from microarray data, and provides a rational data pre-processing strategy for multivariate analyses. For the transformation h, the parametric form h(x)=arsinh(a+bx) is derived from a model of the variance-versus-mean dependence for microarray intensity data, using the method of variance stabilizing transformations. For large intensities, h coincides with the logarithmic transformation, and Deltah with the log-ratio. The parameters of h together with those of the calibration between experiments are estimated with a robust variant of maximum-likelihood estimation. We demonstrate our approach on data sets from different experimental platforms, including two-colour cDNA arrays and a series of Affymetrix oligonucleotide arrays.
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            Genomic Views of Distant-Acting Enhancers

            Preface In contrast to changes in protein-coding sequences, the significance of noncoding DNA variation in human disease has been minimally explored. A recent torrent of genome-wide association studies suggests that noncoding variation represents a significant risk factor for common disorders, but the mechanisms by which they contribute to disease remain largely obscure. Distant-acting transcriptional enhancers - a major category of functional noncoding DNA - are likely involved in many developmental and disease-relevant processes. Genome-wide approaches for their discovery and functional characterization are now available and provide a growing knowledgebase for the systematic exploration of their role in human biology and disease susceptibility.
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              GATA4 mutations cause human congenital heart defects and reveal an interaction with TBX5.

              Congenital heart defects (CHDs) are the most common developmental anomaly and are the leading non-infectious cause of mortality in newborns. Only one causative gene, NKX2-5, has been identified through genetic linkage analysis of pedigrees with non-syndromic CHDs. Here, we show that isolated cardiac septal defects in a large pedigree were linked to chromosome 8p22-23. A heterozygous G296S missense mutation of GATA4, a transcription factor essential for heart formation, was found in all available affected family members but not in any control individuals. This mutation resulted in diminished DNA-binding affinity and transcriptional activity of Gata4. Furthermore, the Gata4 mutation abrogated a physical interaction between Gata4 and TBX5, a T-box protein responsible for a subset of syndromic cardiac septal defects. Conversely, interaction of Gata4 and TBX5 was disrupted by specific human TBX5 missense mutations that cause similar cardiac septal defects. In a second family, we identified a frame-shift mutation of GATA4 (E359del) that was transcriptionally inactive and segregated with cardiac septal defects. These results implicate GATA4 as a genetic cause of human cardiac septal defects, perhaps through its interaction with TBX5.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                October 2014
                30 October 2014
                : 10
                : 10
                : e1004604
                Affiliations
                [1 ]Departments of Pediatrics, Pathology, and Human Genetics, The University of Chicago, Chicago, Illinois, United States of America
                [2 ]Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America
                [3 ]Department of Molecular Biosciences, Institute for Cellular and Molecular Biology, University of Texas, Austin, Texas, United States of America
                [4 ]Department of Regenerative Medicine and Stem Cell Biology, University of Southern California, Los Angeles, California, United States of America
                Stanford University School of Medicine, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: ADH XHY IPM. Performed the experiments: ADH JDB XR VVK OBT. Analyzed the data: XHY ADH JDS IPM. Contributed reagents/materials/analysis tools: XR VVK SAV APM. Wrote the paper: ADH XHY IPM.

                Article
                PGENETICS-D-13-02325
                10.1371/journal.pgen.1004604
                4214600
                25356765
                6daee49c-ac2b-4701-b4a1-b02f6861f302
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 August 2013
                : 14 July 2014
                Page count
                Pages: 11
                Funding
                This work was funded by NIH R01 HL 092153, NIH R21 CA167305-01A1, an AHA established investigator award 13EIA14690081, the March of Dimes, and in part by the NIH through resources provided by the Computation Institute, the Biological Sciences Division of the University of Chicago, and Argonne National Laboratory under grant S10 RR029030-01. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Developmental Biology
                Organism Development
                Organogenesis
                Heart Development
                Morphogenesis

                Genetics
                Genetics

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