Posts Tagged ‘u24motr’
NOT-OD-16-011: Implementing Rigor and Transparency in NIH & AHRQ Research Grant Applications
Sunday, February 14th, 2016New grant format w/ prelim. results under significance v. approach as nowhttp://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-011.html @NIH notice is cryptic. People’s thoughts?
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need to use strength & weakness for each citation.
see also:
http://www.grantcentral.com/wp-content/uploads/2015/12/Supplement-Changes-in-Approach-Subsection.pdf http://grants.nih.gov/grants/forms_updates_faq.htm#2426
http://grants.nih.gov/grants/funding/424/index.htm
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One of the changes to this Chapter pertains to the format for the Approach subsection, which is reproduced, above. “Justification and Feasibility” and its two subdivisions have been lined out because, with the new approach that we recommend, they are no longer part of the Approach subsection. (We have moved them to the Significance subsection, Chapter 9). Without those components, the formatting for each aim “collapses” to include the Introductory Paragraph, Research Design, Expected Outcomes and Potential Problems & Alternative Strategies.
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Updates to Research Strategy Guidance
By November 25, 2015 application guide instructions will be updated to include the following additional guidance for the Significance and Approach sections of the Research Strategy, in addition to the existing instructions.
Significance
Describe the scientific premise for the proposed project, including consideration of the strengths and weaknesses of published research or preliminary data crucial to the support of your application. Approach
Describe the experimental design and methods proposed and how they will achieve robust and unbiased results.
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An integrative analysis reveals coordinated reprogramming of the epigenome and the transcriptome in human skeletal muscle after training
Friday, February 12th, 2016Reprogramming…#epigenome & transcriptome in…muscle after training http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4622000/ Delta(Me) from #exercise in 1 leg v. other
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Exercise has long been known to have an effect on health, lowering the incidence of cardiovascular disease, obesity, and type 2 diabetes. Recently, it has been found that exercise can have a direct effect on DNA methylation and gene expression. A group of 23 subjects exercised one leg but not the other for 45 minutes four times a week for three months. At the end of this period, the methylation and gene expression patterns were different in the exercised leg relative to the one that did not exercise, indicating a direct effect of exercise on
epigenetics.
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Quote from:
A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue
Wednesday, February 10th, 2016Understanding the Cellular and Molecular Mechanisms of Physical Activity-Induced Health Benefits: Cell Metabolism
Saturday, December 5th, 2015Cellular…Mechanisms of Physical Activity-Induced Health Benefits http://www.cell.com/cell-metabolism/abstract/S1550-4131(15)00223-5 Mitochondria important to “#exercise responsome”
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… augmenting overall mitochondrial density and oxidative
phosphorylation capacity by as much as 2-fold (Hood et al., 2011). Moreover, PA affects mito-chondrial quality as well as quantity, and recent studies suggest that the functional properties of these organelles are much more heterogeneous and dynamic in nature than previously appreci-ated (Jacobs and Lundby, 2013). Interestingly, PA-induced mito-chondrial biogenesis also occurs in tissues other than skeletal muscle, including brain (E et al., 2013; Steiner et al., 2011), liver (Boveris and Navarro, 2008; E et al., 2013; Navarro et al., 2004), adipose tissue (Laye et al., 2009; Sutherland et al., 2009), and kidney (Navarro et al., 2004), providing evidence that exercise also increases metabolic demand in these tissues and/or stimu-lates inter-organ crosstalk.
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The rate-limiting impediment to discovery of molecular trans-ducers and their function is not the ‘‘omic” core technology, but the bioinformatics to extract the most useful signals and generate the most appropriate biological interpretation, including those associated with exercise adaptation. Robust computational and bioinformatics analytical tools allowing inte-gration of large datasets from a multiplicity of ‘‘omics” platforms with in vivo exercise physiology assays and measurements would contribute greatly to our understanding of the response to acute bouts of exercise and long-term adaptation to regular exercise exposure.
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this regard, the development of detailed molecular profiles in cells and tissues in response to acute and chronic exposures to exercise (‘‘the exercise responsomes”) would provide the benchmark against which all other exercise-related conditions, including aging, sex differences, disease states, etc., could be compared for commonality and specificity.
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Resources are needed not only to fund new trainees, but also to restructure current programs in a manner that combines studies in integrative physiology and bioenergetics with training in basic biochemistry, cellular and molecular biology, and bioinformatics. Additional resources are needed to establish mechanisms for assembling and supporting interdisciplinary teams that are able to catalyze and sustain ex-ercise research. The field would likewise benefit from a program to support a multi-site consortium of exercise scientists with complimentary expertise and resources that together are well positioned to tackle the large, challenging problems relevant to the overarching mission.
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http://www.cell.com/cell-metabolism/abstract/S1550-4131(15)00223-5