Sequential association of myogenic regulatory factors and E proteins at muscle-specific genes

<p>Abstract</p> <p>Background</p> <p>Gene expression in skeletal muscle is controlled by a family of basic helix-loop-helix transcription factors known as the myogenic regulatory factors (MRFs). The MRFs work in conjunction with E proteins to regulate gene expression during myogenesis. However, the precise mechanism by which the MRFs activate gene expression is unclear. In this work, we sought to define the binding profiles of MRFs and E proteins on muscle-specific genes throughout a time course of differentiation.</p> <p>Results</p> <p>We performed chromatin immunoprecipitation (ChIP) assays for myogenin, MyoD, Myf5 and E proteins over a time course of C₂C₁₂differentiation, resulting in several surprising findings. The pattern of recruitment is specific to each promoter tested. The recruitment of E proteins often coincides with the arrival of the MRFs, but the binding profile does not entirely overlap with the MRF binding profiles. We found that E12/E47 is bound to certain promoters during proliferation, but every gene tested is preferentially bound by HEB during differentiation. We also show that MyoD, myogenin and Myf5 have transient roles on each of these promoters during muscle differentiation. We also found that RNA polymerase II occupancy correlates with the transcription profile of these promoters. ChIP sequencing assays confirmed that MyoD, myogenin and Myf5 co-occupy promoters.</p> <p>Conclusions</p> <p>Our data reveal the sequential association of MyoD, myogenin, Myf5 and HEB on muscle-specific promoters. These data suggest that each of the MRFs, including Myf5, contribute to gene expression at each of the geness analyzed here.. The dynamic binding profiles observed suggest that MRFs and E proteins are recruited independently to promoters.</p

Transcriptional Control: An Activating Role for Arginine Methylation

AbstractA rare histone modification, arginine methylation, has been linked to activation of hormone-responsive genes. Interestingly, methylation of a lysine residue in the same histone is present prior to hormone activation, but is excluded from the active loci

Target gene selectivity of the myogenic basic helix–loop–helix transcription factor myogenin in embryonic muscle

AbstractThe myogenic regulatory factors MyoD and myogenin are crucial for skeletal muscle development. Despite their importance, the mechanisms by which these factors selectively regulate different target genes are unclear. The purpose of the present investigation was to compare embryonic skeletal muscle from myogenin+/+ and myogenin−/− mice to identify genes whose expression was dependent on the presence of myogenin but not MyoD and to determine whether myogenin-binding sites could be found within regulatory regions of myogenin-dependent genes independent of MyoD. We identified a set of 140 muscle-expressed genes whose expression in embryonic tongue muscle of myogenin−/− mice was downregulated in the absence of myogenin, but in the presence of MyoD. Myogenin bound within conserved regulatory regions of several of the downregulated genes, but MyoD bound only to a subset of these same regions, suggesting that many downregulated genes were selective targets of myogenin. The regulatory regions activated gene expression in cultured myoblasts and fibroblasts overexpressing myogenin or MyoD, indicating that expression from exogenously introduced DNA could not recapitulate the selectivity for myogenin observed in vivo. The results identify new target genes for myogenin and show that myogenin's target gene selectivity is not based solely on binding site sequences

Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis

Multifactorial mechanisms underlying late-onset Alzheimer's disease (LOAD) are poorly characterized from an integrative perspective. Here spatiotemporal alterations in brain amyloid-β deposition, metabolism, vascular, functional activity at rest, structural properties, cognitive integrity and peripheral proteins levels are characterized in relation to LOAD progression. We analyse over 7,700 brain images and tens of plasma and cerebrospinal fluid biomarkers from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Through a multifactorial data-driven analysis, we obtain dynamic LOAD–abnormality indices for all biomarkers, and a tentative temporal ordering of disease progression. Imaging results suggest that intra-brain vascular dysregulation is an early pathological event during disease development. Cognitive decline is noticeable from initial LOAD stages, suggesting early memory deficit associated with the primary disease factors. High abnormality levels are also observed for specific proteins associated with the vascular system's integrity. Although still subjected to the sensitivity of the algorithms and biomarkers employed, our results might contribute to the development of preventive therapeutic interventions

Histone-Dependent Association of Tup1-Ssn6 with Repressed Genes In Vivo

The Tup1-Ssn6 complex regulates diverse classes of genes in Saccharomyces cerevisiae and serves as a model for corepressor functions in many organisms. Tup1-Ssn6 does not directly bind DNA but is brought to target genes through interactions with sequence-specific DNA binding factors. Full repression by Tup1-Ssn6 appears to require interactions with both the histone tails and components of the general transcription machinery, although the relative contribution of these two pathways is not clear. Here, we map Tup1 locations on two classes of Tup1-Ssn6-regulated genes in vivo via chromatin immunoprecipitations. Distinct profiles of Tup1 are observed on a cell-specific genes and DNA damage-inducible genes, suggesting that alternate repressive architectures may be created on different classes of repressed genes. In both cases, decreases in acetylation of histone H3 colocalize with Tup1. Strikingly, although loss of the Srb10 mediator protein had no effect on Tup1 localization, both histone tail mutations and histone deacetylase mutations crippled the association of Tup1 with target loci. Together with previous findings that Tup1-Ssn6 physically associates with histone deacetylase activities, these results indicate that the repressor complex alters histone modification states to facilitate interactions with histones and that these interactions are required to maintain a stable repressive state

Genetic Interactions Between TFIIF and TFIIS

The eukaryotic transcript elongation factor TFIIS is encoded by a nonessential gene, PPR2, in Saccharomyces cerevisiae. Disruptions of PPR2 are lethal in conjunction with a disruption in the nonessential gene TAF14/TFG3. While investigating which of the Taf14p-containing complexes may be responsible for the synthetic lethality between ppr2Δ and taf14Δ, we discovered genetic interactions between PPR2 and both TFG1 and TFG2 encoding the two larger subunits of the TFIIF complex that also contains Taf14p. Mutant alleles of tfg1 or tfg2 that render cells cold sensitive have improved growth at low temperature in the absence of TFIIS. Remarkably, the amino-terminal 130 amino acids of TFIIS, which are dispensable for the known in vitro and in vivo activities of TFIIS, are required to complement the lethality in taf14Δ ppr2Δ cells. Analyses of deletion and chimeric gene constructs of PPR2 implicate contributions by different regions of this N-terminal domain. No strong common phenotypes were identified for the ppr2Δ and taf14Δ strains, implying that the proteins are not functionally redundant. Instead, the absence of Taf14p in the cell appears to create a dependence on an undefined function of TFIIS mediated by its N-terminal region. This region of TFIIS is also at least in part responsible for the deleterious effect of TFIIS on tfg1 or tfg2 cold-sensitive cells. Together, these results suggest a physiologically relevant functional connection between TFIIS and TFIIF

Development of the Woman-Centred Care Scale- Midwife Self Report (WCCS-MSR)

Background: Woman-centred care is recognised as a fundamental construct of midwifery practice yet to date, there has been no validated tool available to measure it. This study aims to develop and test a self-report tool to measure woman-centred care in midwives. Methods: A staged approach was used for tool development including deductive methods to generate items, testing content validity with a group of experts, and psychometrically testing the instrument with a sample drawn from the target audience. The draft 58 item tool was distributed in an online survey using professional networks in Australia and New Zealand. Testing included item analysis, principal components analysis with direct oblimin rotation and subscale analysis, and internal consistency reliability. Results: In total, 319 surveys were returned. Analysis revealed five factors explaining 47.6% of variance. Items were reduced to 40. Internal consistency (.92) was high but varied across factors. Factors reflected the extent to which a midwife meets the woman’s unique needs; balances the woman’s needs within the context of the maternity service; ensures midwifery philosophy underpins practice; uses evidence to inform collaborative practice; and works in partnership with the woman. Conclusion: The Woman-Centred Care Scale-Midwife Self Report is the first step in developing a valid and reliable tool to enable midwives to self-assess their woman-centredness. Further research in alternate populations and refinement is warranted