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  • 1
    Publication Date: 2014-11-29
    Description: High-solids biomass slurries exhibit non-Newtonian behavior with a yield stress and require high power input for mixing. The goals were to determine the effect of scale and geometry on power number P 0 , and estimate the power for mixing a pretreated biomass slurry in a 3.8 million L hydrolysis reactor of conventional design. A lab-scale computational fluid dynamics model was validated against experimental data and then scaled up. A pitched-blade turbine and A310 hydrofoil were tested for various geometric arrangements. Flow was transitional; laminar and turbulence models resulted in equivalent P 0 which increased with scale. The ratio of impeller diameter to tank diameter affected P 0 for both impellers, but impeller clearance to tank diameter affected P 0 only for the A310. At least 2 MW is required to operate at this scale. High-solids biomass slurries are characterized by non-Newtonian behavior with a yield stress and high power input demand for mixing. A computational fluid dynamics model was developed to predict power requirements of non-Newtonian lignocellulosic slurry in an industrial-scale hydrolysis reactor with conventional mixing impellers. The lab-scale model was validated against experimental data and then scaled up.
    Print ISSN: 0930-7516
    Electronic ISSN: 1521-4125
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Published by Wiley
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  • 2
    Publication Date: 2009-03-03
    Description: Amyotrophic lateral sclerosis (ALS) is a fatal degenerative motor neuron disorder. Ten percent of cases are inherited; most involve unidentified genes. We report here 13 mutations in the fused in sarcoma/translated in liposarcoma (FUS/TLS) gene on chromosome 16 that were specific for familial ALS. The FUS/TLS protein binds to RNA, functions in diverse processes, and is normally located predominantly in the nucleus. In contrast, the mutant forms of FUS/TLS accumulated in the cytoplasm of neurons, a pathology that is similar to that of the gene TAR DNA-binding protein 43 (TDP43), whose mutations also cause ALS. Neuronal cytoplasmic protein aggregation and defective RNA metabolism thus appear to be common pathogenic mechanisms involved in ALS and possibly in other neurodegenerative disorders.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kwiatkowski, T J Jr -- Bosco, D A -- Leclerc, A L -- Tamrazian, E -- Vanderburg, C R -- Russ, C -- Davis, A -- Gilchrist, J -- Kasarskis, E J -- Munsat, T -- Valdmanis, P -- Rouleau, G A -- Hosler, B A -- Cortelli, P -- de Jong, P J -- Yoshinaga, Y -- Haines, J L -- Pericak-Vance, M A -- Yan, J -- Ticozzi, N -- Siddique, T -- McKenna-Yasek, D -- Sapp, P C -- Horvitz, H R -- Landers, J E -- Brown, R H Jr -- New York, N.Y. -- Science. 2009 Feb 27;323(5918):1205-8. doi: 10.1126/science.1166066.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neurology, Massachusetts General Hospital, 114 16th Street, Charlestown, MA 02129, USA. tkwiatkowski@partners.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19251627" target="_blank"〉PubMed〈/a〉
    Keywords: Age of Onset ; Amino Acid Substitution ; Amyotrophic Lateral Sclerosis/*genetics/metabolism/pathology ; Animals ; Brain/pathology ; Cell Line, Tumor ; Cell Nucleus/metabolism ; Chromosomes, Human, Pair 16/*genetics ; Cytoplasm/metabolism ; DNA-Binding Proteins/genetics/metabolism ; Exons ; Female ; Humans ; Male ; Mice ; Motor Neurons/chemistry/metabolism/ultrastructure ; Mutant Proteins/chemistry/genetics/metabolism ; *Mutation, Missense ; Neurons/metabolism/ultrastructure ; RNA/metabolism ; RNA-Binding Protein FUS/chemistry/*genetics/*metabolism ; Recombinant Fusion Proteins/metabolism ; Sequence Analysis, DNA ; Spinal Cord/pathology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2010-05-08
    Description: Neandertals, the closest evolutionary relatives of present-day humans, lived in large parts of Europe and western Asia before disappearing 30,000 years ago. We present a draft sequence of the Neandertal genome composed of more than 4 billion nucleotides from three individuals. Comparisons of the Neandertal genome to the genomes of five present-day humans from different parts of the world identify a number of genomic regions that may have been affected by positive selection in ancestral modern humans, including genes involved in metabolism and in cognitive and skeletal development. We show that Neandertals shared more genetic variants with present-day humans in Eurasia than with present-day humans in sub-Saharan Africa, suggesting that gene flow from Neandertals into the ancestors of non-Africans occurred before the divergence of Eurasian groups from each other.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Green, Richard E -- Krause, Johannes -- Briggs, Adrian W -- Maricic, Tomislav -- Stenzel, Udo -- Kircher, Martin -- Patterson, Nick -- Li, Heng -- Zhai, Weiwei -- Fritz, Markus Hsi-Yang -- Hansen, Nancy F -- Durand, Eric Y -- Malaspinas, Anna-Sapfo -- Jensen, Jeffrey D -- Marques-Bonet, Tomas -- Alkan, Can -- Prufer, Kay -- Meyer, Matthias -- Burbano, Hernan A -- Good, Jeffrey M -- Schultz, Rigo -- Aximu-Petri, Ayinuer -- Butthof, Anne -- Hober, Barbara -- Hoffner, Barbara -- Siegemund, Madlen -- Weihmann, Antje -- Nusbaum, Chad -- Lander, Eric S -- Russ, Carsten -- Novod, Nathaniel -- Affourtit, Jason -- Egholm, Michael -- Verna, Christine -- Rudan, Pavao -- Brajkovic, Dejana -- Kucan, Zeljko -- Gusic, Ivan -- Doronichev, Vladimir B -- Golovanova, Liubov V -- Lalueza-Fox, Carles -- de la Rasilla, Marco -- Fortea, Javier -- Rosas, Antonio -- Schmitz, Ralf W -- Johnson, Philip L F -- Eichler, Evan E -- Falush, Daniel -- Birney, Ewan -- Mullikin, James C -- Slatkin, Montgomery -- Nielsen, Rasmus -- Kelso, Janet -- Lachmann, Michael -- Reich, David -- Paabo, Svante -- GM40282/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2010 May 7;328(5979):710-22. doi: 10.1126/science.1188021.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany. green@eva.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20448178" target="_blank"〉PubMed〈/a〉
    Keywords: African Continental Ancestry Group/genetics ; Animals ; Asian Continental Ancestry Group/genetics ; Base Sequence ; Bone and Bones ; DNA, Mitochondrial/genetics ; European Continental Ancestry Group/genetics ; Evolution, Molecular ; Extinction, Biological ; Female ; *Fossils ; Gene Dosage ; Gene Flow ; Genetic Variation ; *Genome ; *Genome, Human ; Haplotypes ; Hominidae/*genetics ; Humans ; Pan troglodytes/genetics ; Polymorphism, Single Nucleotide ; Selection, Genetic ; Sequence Alignment ; *Sequence Analysis, DNA ; Time
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2011-04-23
    Description: The fission yeast clade--comprising Schizosaccharomyces pombe, S. octosporus, S. cryophilus, and S. japonicus--occupies the basal branch of Ascomycete fungi and is an important model of eukaryote biology. A comparative annotation of these genomes identified a near extinction of transposons and the associated innovation of transposon-free centromeres. Expression analysis established that meiotic genes are subject to antisense transcription during vegetative growth, which suggests a mechanism for their tight regulation. In addition, trans-acting regulators control new genes within the context of expanded functional modules for meiosis and stress response. Differences in gene content and regulation also explain why, unlike the budding yeast of Saccharomycotina, fission yeasts cannot use ethanol as a primary carbon source. These analyses elucidate the genome structure and gene regulation of fission yeast and provide tools for investigation across the Schizosaccharomyces clade.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3131103/" 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/PMC3131103/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rhind, Nicholas -- Chen, Zehua -- Yassour, Moran -- Thompson, Dawn A -- Haas, Brian J -- Habib, Naomi -- Wapinski, Ilan -- Roy, Sushmita -- Lin, Michael F -- Heiman, David I -- Young, Sarah K -- Furuya, Kanji -- Guo, Yabin -- Pidoux, Alison -- Chen, Huei Mei -- Robbertse, Barbara -- Goldberg, Jonathan M -- Aoki, Keita -- Bayne, Elizabeth H -- Berlin, Aaron M -- Desjardins, Christopher A -- Dobbs, Edward -- Dukaj, Livio -- Fan, Lin -- FitzGerald, Michael G -- French, Courtney -- Gujja, Sharvari -- Hansen, Klavs -- Keifenheim, Dan -- Levin, Joshua Z -- Mosher, Rebecca A -- Muller, Carolin A -- Pfiffner, Jenna -- Priest, Margaret -- Russ, Carsten -- Smialowska, Agata -- Swoboda, Peter -- Sykes, Sean M -- Vaughn, Matthew -- Vengrova, Sonya -- Yoder, Ryan -- Zeng, Qiandong -- Allshire, Robin -- Baulcombe, David -- Birren, Bruce W -- Brown, William -- Ekwall, Karl -- Kellis, Manolis -- Leatherwood, Janet -- Levin, Henry -- Margalit, Hanah -- Martienssen, Rob -- Nieduszynski, Conrad A -- Spatafora, Joseph W -- Friedman, Nir -- Dalgaard, Jacob Z -- Baumann, Peter -- Niki, Hironori -- Regev, Aviv -- Nusbaum, Chad -- BB/E023754/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- DP1 OD003958/OD/NIH HHS/ -- R01 GM069957/GM/NIGMS NIH HHS/ -- R01 GM076396/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-06/HG/NHGRI NIH HHS/ -- Biotechnology and Biological Sciences Research Council/United Kingdom -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2011 May 20;332(6032):930-6. doi: 10.1126/science.1203357. Epub 2011 Apr 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA 01605, USA. nick.rhind@umassmed.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21511999" target="_blank"〉PubMed〈/a〉
    Keywords: Centromere/genetics/physiology/ultrastructure ; DNA Transposable Elements ; Evolution, Molecular ; Gene Expression Profiling ; Gene Expression Regulation, Fungal ; Genes, Mating Type, Fungal ; *Genome, Fungal ; Genomics ; Glucose/metabolism ; Meiosis ; Molecular Sequence Annotation ; Molecular Sequence Data ; Phylogeny ; RNA, Antisense/genetics ; RNA, Fungal/genetics ; RNA, Small Interfering/genetics ; RNA, Untranslated/genetics ; Regulatory Elements, Transcriptional ; Schizosaccharomyces/*genetics/growth & development/metabolism ; Schizosaccharomyces pombe Proteins/genetics/metabolism ; Sequence Analysis, DNA ; Species Specificity ; Transcription Factors/genetics/metabolism ; Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
  • 6
    Publication Date: 2012-07-24
    Description: Medulloblastomas are the most common malignant brain tumours in children. Identifying and understanding the genetic events that drive these tumours is critical for the development of more effective diagnostic, prognostic and therapeutic strategies. Recently, our group and others described distinct molecular subtypes of medulloblastoma on the basis of transcriptional and copy number profiles. Here we use whole-exome hybrid capture and deep sequencing to identify somatic mutations across the coding regions of 92 primary medulloblastoma/normal pairs. Overall, medulloblastomas have low mutation rates consistent with other paediatric tumours, with a median of 0.35 non-silent mutations per megabase. We identified twelve genes mutated at statistically significant frequencies, including previously known mutated genes in medulloblastoma such as CTNNB1, PTCH1, MLL2, SMARCA4 and TP53. Recurrent somatic mutations were newly identified in an RNA helicase gene, DDX3X, often concurrent with CTNNB1 mutations, and in the nuclear co-repressor (N-CoR) complex genes GPS2, BCOR and LDB1. We show that mutant DDX3X potentiates transactivation of a TCF promoter and enhances cell viability in combination with mutant, but not wild-type, beta-catenin. Together, our study reveals the alteration of WNT, hedgehog, histone methyltransferase and now N-CoR pathways across medulloblastomas and within specific subtypes of this disease, and nominates the RNA helicase DDX3X as a component of pathogenic beta-catenin signalling in medulloblastoma.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413789/" 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/PMC3413789/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pugh, Trevor J -- Weeraratne, Shyamal Dilhan -- Archer, Tenley C -- Pomeranz Krummel, Daniel A -- Auclair, Daniel -- Bochicchio, James -- Carneiro, Mauricio O -- Carter, Scott L -- Cibulskis, Kristian -- Erlich, Rachel L -- Greulich, Heidi -- Lawrence, Michael S -- Lennon, Niall J -- McKenna, Aaron -- Meldrim, James -- Ramos, Alex H -- Ross, Michael G -- Russ, Carsten -- Shefler, Erica -- Sivachenko, Andrey -- Sogoloff, Brian -- Stojanov, Petar -- Tamayo, Pablo -- Mesirov, Jill P -- Amani, Vladimir -- Teider, Natalia -- Sengupta, Soma -- Francois, Jessica Pierre -- Northcott, Paul A -- Taylor, Michael D -- Yu, Furong -- Crabtree, Gerald R -- Kautzman, Amanda G -- Gabriel, Stacey B -- Getz, Gad -- Jager, Natalie -- Jones, David T W -- Lichter, Peter -- Pfister, Stefan M -- Roberts, Thomas M -- Meyerson, Matthew -- Pomeroy, Scott L -- Cho, Yoon-Jae -- CA050661/CA/NCI NIH HHS/ -- L40 NS063706/NS/NINDS NIH HHS/ -- P30 HD018655/HD/NICHD NIH HHS/ -- P30 HD18655/HD/NICHD NIH HHS/ -- R01 CA030002/CA/NCI NIH HHS/ -- R01 CA105607/CA/NCI NIH HHS/ -- R01 CA109467/CA/NCI NIH HHS/ -- R01 CA148699/CA/NCI NIH HHS/ -- R01 CA154480/CA/NCI NIH HHS/ -- R01 NS046789/NS/NINDS NIH HHS/ -- R01CA105607/CA/NCI NIH HHS/ -- R01CA109467/CA/NCI NIH HHS/ -- R01CA148699/CA/NCI NIH HHS/ -- R25 NS070682/NS/NINDS NIH HHS/ -- R25NS070682/NS/NINDS NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54HG003067/HG/NHGRI NIH HHS/ -- Canadian Institutes of Health Research/Canada -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Aug 2;488(7409):106-10. doi: 10.1038/nature11329.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22820256" target="_blank"〉PubMed〈/a〉
    Keywords: Cerebellar Neoplasms/classification/*genetics ; Child ; DEAD-box RNA Helicases/chemistry/genetics/metabolism ; DNA Helicases/chemistry/genetics ; DNA-Binding Proteins/genetics ; Exome/*genetics ; Genome, Human/*genetics ; Hedgehog Proteins/metabolism ; Histone-Lysine N-Methyltransferase/genetics/metabolism ; Humans ; Intracellular Signaling Peptides and Proteins/genetics ; LIM Domain Proteins/genetics ; Medulloblastoma/classification/*genetics ; Models, Molecular ; Mutation/*genetics ; Neoplasm Proteins/genetics ; Nuclear Proteins/chemistry/genetics ; Promoter Regions, Genetic/genetics ; Protein Structure, Tertiary/genetics ; Proto-Oncogene Proteins/genetics ; Receptors, Cell Surface/genetics ; Repressor Proteins/genetics ; Signal Transduction ; TCF Transcription Factors/metabolism ; Transcription Factors/chemistry/genetics ; Tumor Suppressor Protein p53/genetics ; Wnt Proteins/metabolism ; beta Catenin/genetics/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2010-05-22
    Description: The human microbiome refers to the community of microorganisms, including prokaryotes, viruses, and microbial eukaryotes, that populate the human body. The National Institutes of Health launched an initiative that focuses on describing the diversity of microbial species that are associated with health and disease. The first phase of this initiative includes the sequencing of hundreds of microbial reference genomes, coupled to metagenomic sequencing from multiple body sites. Here we present results from an initial reference genome sequencing of 178 microbial genomes. From 547,968 predicted polypeptides that correspond to the gene complement of these strains, previously unidentified ("novel") polypeptides that had both unmasked sequence length greater than 100 amino acids and no BLASTP match to any nonreference entry in the nonredundant subset were defined. This analysis resulted in a set of 30,867 polypeptides, of which 29,987 (approximately 97%) were unique. In addition, this set of microbial genomes allows for approximately 40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used. Insights into pan-genome analysis suggest that we are still far from saturating microbial species genetic data sets. In addition, the associated metrics and standards used by our group for quality assurance are presented.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940224/" 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/PMC2940224/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Human Microbiome Jumpstart Reference Strains Consortium -- Nelson, Karen E -- Weinstock, George M -- Highlander, Sarah K -- Worley, Kim C -- Creasy, Heather Huot -- Wortman, Jennifer Russo -- Rusch, Douglas B -- Mitreva, Makedonka -- Sodergren, Erica -- Chinwalla, Asif T -- Feldgarden, Michael -- Gevers, Dirk -- Haas, Brian J -- Madupu, Ramana -- Ward, Doyle V -- Birren, Bruce W -- Gibbs, Richard A -- Methe, Barbara -- Petrosino, Joseph F -- Strausberg, Robert L -- Sutton, Granger G -- White, Owen R -- Wilson, Richard K -- Durkin, Scott -- Giglio, Michelle Gwinn -- Gujja, Sharvari -- Howarth, Clint -- Kodira, Chinnappa D -- Kyrpides, Nikos -- Mehta, Teena -- Muzny, Donna M -- Pearson, Matthew -- Pepin, Kymberlie -- Pati, Amrita -- Qin, Xiang -- Yandava, Chandri -- Zeng, Qiandong -- Zhang, Lan -- Berlin, Aaron M -- Chen, Lei -- Hepburn, Theresa A -- Johnson, Justin -- McCorrison, Jamison -- Miller, Jason -- Minx, Pat -- Nusbaum, Chad -- Russ, Carsten -- Sykes, Sean M -- Tomlinson, Chad M -- Young, Sarah -- Warren, Wesley C -- Badger, Jonathan -- Crabtree, Jonathan -- Markowitz, Victor M -- Orvis, Joshua -- Cree, Andrew -- Ferriera, Steve -- Fulton, Lucinda L -- Fulton, Robert S -- Gillis, Marcus -- Hemphill, Lisa D -- Joshi, Vandita -- Kovar, Christie -- Torralba, Manolito -- Wetterstrand, Kris A -- Abouellleil, Amr -- Wollam, Aye M -- Buhay, Christian J -- Ding, Yan -- Dugan, Shannon -- FitzGerald, Michael G -- Holder, Mike -- Hostetler, Jessica -- Clifton, Sandra W -- Allen-Vercoe, Emma -- Earl, Ashlee M -- Farmer, Candace N -- Liolios, Konstantinos -- Surette, Michael G -- Xu, Qiang -- Pohl, Craig -- Wilczek-Boney, Katarzyna -- Zhu, Dianhui -- HHSN272200900017C/PHS HHS/ -- N01 AI30071/AI/NIAID NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- U54 HG003273-04/HG/NHGRI NIH HHS/ -- U54 HG003273-04S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05/HG/NHGRI NIH HHS/ -- U54 HG003273-05S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05S2/HG/NHGRI NIH HHS/ -- U54 HG003273-06/HG/NHGRI NIH HHS/ -- U54 HG003273-06S1/HG/NHGRI NIH HHS/ -- U54 HG003273-06S2/HG/NHGRI NIH HHS/ -- U54 HG003273-07/HG/NHGRI NIH HHS/ -- U54 HG003273-08/HG/NHGRI NIH HHS/ -- U54 HG004973/HG/NHGRI NIH HHS/ -- U54 HG004973-01/HG/NHGRI NIH HHS/ -- U54 HG004973-02/HG/NHGRI NIH HHS/ -- U54-AI084844/AI/NIAID NIH HHS/ -- U54-HG003079/HG/NHGRI NIH HHS/ -- U54-HG003273/HG/NHGRI NIH HHS/ -- U54-HG004968/HG/NHGRI NIH HHS/ -- U54-HG004969/HG/NHGRI NIH HHS/ -- U54-HG004973/HG/NHGRI NIH HHS/ -- Canadian Institutes of Health Research/Canada -- New York, N.Y. -- Science. 2010 May 21;328(5981):994-9. doi: 10.1126/science.1183605.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20489017" target="_blank"〉PubMed〈/a〉
    Keywords: Bacteria/classification/genetics ; Bacterial Proteins/chemistry/genetics ; Biodiversity ; Computational Biology ; Databases, Genetic ; Gastrointestinal Tract/microbiology ; Genes, Bacterial ; Genetic Variation ; Genome, Archaeal ; *Genome, Bacterial ; Humans ; Metagenome/*genetics ; Metagenomics/methods/standards ; Mouth/microbiology ; Peptides/chemistry/genetics ; Phylogeny ; Respiratory System/microbiology ; *Sequence Analysis, DNA/standards ; Skin/microbiology ; Urogenital System/microbiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2012-01-28
    Description: Neighboring genes are often coordinately expressed within cis-regulatory modules, but evidence that nonparalogous genes share functions in mammals is lacking. Here, we report that mutation of either TMEM138 or TMEM216 causes a phenotypically indistinguishable human ciliopathy, Joubert syndrome. Despite a lack of sequence homology, the genes are aligned in a head-to-tail configuration and joined by chromosomal rearrangement at the amphibian-to-reptile evolutionary transition. Expression of the two genes is mediated by a conserved regulatory element in the noncoding intergenic region. Coordinated expression is important for their interdependent cellular role in vesicular transport to primary cilia. Hence, during vertebrate evolution of genes involved in ciliogenesis, nonparalogous genes were arranged to a functional gene cluster with shared regulatory elements.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671610/" 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/PMC3671610/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Jeong Ho -- Silhavy, Jennifer L -- Lee, Ji Eun -- Al-Gazali, Lihadh -- Thomas, Sophie -- Davis, Erica E -- Bielas, Stephanie L -- Hill, Kiley J -- Iannicelli, Miriam -- Brancati, Francesco -- Gabriel, Stacey B -- Russ, Carsten -- Logan, Clare V -- Sharif, Saghira Malik -- Bennett, Christopher P -- Abe, Masumi -- Hildebrandt, Friedhelm -- Diplas, Bill H -- Attie-Bitach, Tania -- Katsanis, Nicholas -- Rajab, Anna -- Koul, Roshan -- Sztriha, Laszlo -- Waters, Elizabeth R -- Ferro-Novick, Susan -- Woods, C Geoffrey -- Johnson, Colin A -- Valente, Enza Maria -- Zaki, Maha S -- Gleeson, Joseph G -- DK068306/DK/NIDDK NIH HHS/ -- DK072301/DK/NIDDK NIH HHS/ -- DK075972/DK/NIDDK NIH HHS/ -- DK090917/DK/NIDDK NIH HHS/ -- EY021872/EY/NEI NIH HHS/ -- G0700073/Medical Research Council/United Kingdom -- GGP08145/Telethon/Italy -- HD042601/HD/NICHD NIH HHS/ -- NS04843/NS/NINDS NIH HHS/ -- NS052455/NS/NINDS NIH HHS/ -- P30 CA023100/CA/NCI NIH HHS/ -- P30NS047101/NS/NINDS NIH HHS/ -- R01 DK068306/DK/NIDDK NIH HHS/ -- R01 DK072301/DK/NIDDK NIH HHS/ -- R01 DK075972/DK/NIDDK NIH HHS/ -- R01 EY021872/EY/NEI NIH HHS/ -- R01 HD042601/HD/NICHD NIH HHS/ -- R01 NS048453/NS/NINDS NIH HHS/ -- R01 NS052455/NS/NINDS NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2012 Feb 24;335(6071):966-9. doi: 10.1126/science.1213506. Epub 2012 Jan 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Neurogenetics Laboratory, Howard Hughes Medical Institute (HHMI), Department of Neurosciences, University of California, San Diego, CA, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22282472" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Cell Line ; Cerebellar Diseases/*genetics/metabolism/pathology ; Cilia/metabolism/*ultrastructure ; Conserved Sequence ; DNA, Intergenic ; *Evolution, Molecular ; Eye Abnormalities/*genetics/metabolism/pathology ; Gene Expression Profiling ; *Gene Expression Regulation ; Genetic Heterogeneity ; *Genetic Loci ; Humans ; Kidney Diseases, Cystic/*genetics/metabolism/pathology ; Membrane Proteins/chemistry/*genetics/metabolism ; Molecular Sequence Data ; Multigene Family ; Mutation ; Mutation, Missense ; Phenotype ; Protein Transport ; *Regulatory Sequences, Nucleic Acid ; Retina/abnormalities/metabolism/pathology ; Transport Vesicles/metabolism/ultrastructure
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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    Publication Date: 2017-01-05
    Description: This article seeks to address an old and recurring theme in development economics—the slow adoption of new technologies by farmers in many developing countries. We explore a somewhat novel explanation for this puzzle—the link between market access and the incentives to adopt a new technology when there are non-convexities. We develop a theoretical model to guide the empirical analysis that uses spatially disaggregated agricultural production data from the International Food Policy Research Institute and Living Standards Measurement Study survey data for Nigeria. We estimate the impact of transport costs on crop production, adoption of modern technologies, and the differential impact on returns of modern versus traditional farmers. To overcome the limitation of data availability on travel costs for much of Africa, we combine road survey data and GIS roads networks to generate the most thorough and accurate road network available, to our knowledge. Using these data and the Highway Development Management Model (HDM-4), we compute minimum travel costs from each location to the market. Consistent with our theory we find that transportation costs are critical in determining technology choices, with a greater responsiveness among farmers who adopt modern technologies, and at times a perverse (negative) response to lower transport costs among those who employ more traditional techniques. In sum, we present compelling evidence that the constraints to the adoption of modern technologies and access to markets are interconnected, and so should be targeted jointly.
    Print ISSN: 0002-9092
    Electronic ISSN: 1467-8276
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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