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  • 1
    Publication Date: 2014-09-16
    Description: A defining feature governing head patterning of jawed vertebrates is a highly conserved gene regulatory network that integrates hindbrain segmentation with segmentally restricted domains of Hox gene expression. Although non-vertebrate chordates display nested domains of axial Hox expression, they lack hindbrain segmentation. The sea lamprey, a jawless fish, can provide unique insights into vertebrate origins owing to its phylogenetic position at the base of the vertebrate tree. It has been suggested that lamprey may represent an intermediate state where nested Hox expression has not been coupled to the process of hindbrain segmentation. However, little is known about the regulatory network underlying Hox expression in lamprey or its relationship to hindbrain segmentation. Here, using a novel tool that allows cross-species comparisons of regulatory elements between jawed and jawless vertebrates, we report deep conservation of both upstream regulators and segmental activity of enhancer elements across these distant species. Regulatory regions from diverse gnathostomes drive segmental reporter expression in the lamprey hindbrain and require the same transcriptional inputs (for example, Kreisler (also known as Mafba), Krox20 (also known as Egr2a)) in both lamprey and zebrafish. We find that lamprey hox genes display dynamic segmentally restricted domains of expression; we also isolated a conserved exonic hox2 enhancer from lamprey that drives segmental expression in rhombomeres 2 and 4. Our results show that coupling of Hox gene expression to segmentation of the hindbrain is an ancient trait with origin at the base of vertebrates that probably led to the formation of rhombomeric compartments with an underlying Hox code.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209185/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209185/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Parker, Hugo J -- Bronner, Marianne E -- Krumlauf, Robb -- R01 DE017911/DE/NIDCR NIH HHS/ -- R01 NS086907/NS/NINDS NIH HHS/ -- R01DE017911/DE/NIDCR NIH HHS/ -- R01NS086907/NS/NINDS NIH HHS/ -- England -- Nature. 2014 Oct 23;514(7523):490-3. doi: 10.1038/nature13723. Epub 2014 Sep 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Stowers Institute for Medical Research, Kansas City, Missouri 64110, USA. ; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA. ; 1] Stowers Institute for Medical Research, Kansas City, Missouri 64110, USA [2] Department of Anatomy and Cell Biology, Kansas University Medical Center, Kansas City, Kansas 66160, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25219855" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Body Patterning/genetics ; Conserved Sequence/*genetics ; Enhancer Elements, Genetic/genetics ; *Evolution, Molecular ; Gene Expression Regulation, Developmental ; Gene Regulatory Networks/*genetics ; Genes, Homeobox/*genetics ; Lampreys/embryology/genetics ; Molecular Sequence Data ; Phylogeny ; Rhombencephalon/*embryology/*metabolism ; Vertebrates/*embryology/genetics ; Zebrafish/embryology/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2015-05-19
    Description: Copy number variants (CNVs) play important roles in a number of human diseases and in pharmacogenetics. Powerful methods exist for CNV detection in whole genome sequencing (WGS) data, but such data are costly to obtain. Many disease causal CNVs span or are found in genome coding regions (exons), which makes CNV detection using whole exome sequencing (WES) data attractive. If reliably validated against WGS-based CNVs, exome-derived CNVs have potential applications in a clinical setting. Several algorithms have been developed to exploit exome data for CNV detection and comparisons made to find the most suitable methods for particular data samples. The results are not consistent across studies. Here, we review some of the exome CNV detection methods based on depth of coverage profiles and examine their performance to identify problems contributing to discrepancies in published results. We also present a streamlined strategy that uses a single metric, the likelihood ratio, to compare exome methods, and we demonstrated its utility using the VarScan 2 and eXome Hidden Markov Model (XHMM) programs using paired normal and tumour exome data from chronic lymphocytic leukaemia patients. We use array-based somatic CNV (SCNV) calls as a reference standard to compute prevalence-independent statistics, such as sensitivity, specificity and likelihood ratio, for validation of the exome-derived SCNVs. We also account for factors known to influence the performance of exome read depth methods, such as CNV size and frequency, while comparing our findings with published results.
    Print ISSN: 1467-5463
    Electronic ISSN: 1477-4054
    Topics: Biology , Computer Science
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  • 3
    Publication Date: 2014-02-19
    Description: The exploration of protease substrate specificity is generally restricted to naturally occurring amino acids, limiting the degree of conformational space that can be surveyed. We substantially enhanced this by incorporating 102 unnatural amino acids to explore the S1–S4 pockets of human neutrophil elastase. This approach provides hybrid natural and unnatural...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 4
    Publication Date: 2016-10-20
    Description: Atmospheric methane (CH 4 ) accounts for ~20% of the total direct anthropogenic radiative forcing by long-lived greenhouse gases. Surface observations show a pause (1999-2006) followed by a resumption in CH 4 growth, which remain largely unexplained. Using a land surface model, we estimate wetland CH 4 emissions from 1993 to 2014 and study the regional contributions to changes in atmospheric CH 4 . Atmospheric model simulations using these emissions, together with other sources, compare well with surface and satellite CH 4 data. Modelled global wetland emissions vary by ±3%/yr (σ = 4.8 Tg), mainly due to precipitation-induced changes in wetland area, but the integrated effect makes only a small contribution to the pause in CH 4 growth from 1999 to 2006. Increasing temperature, which increases wetland area, drives a long-term trend in wetland CH 4 emissions of +0.2%/yr (1999 to 2014). The increased growth post-2006 was partly caused by increased wetland emissions (+3%), mainly from Tropical Asia, Sourthern Africa and Australia.
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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