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  • 1
    Publication Date: 2013-06-12
    Description: The microbiota is pivotal in the pathogenesis of inflammatory bowel disease (IBD)-associated inflammation-induced colorectal cancer (CRC), yet mechanisms for these effects remain poorly characterized. Here, we demonstrate that aberrant inflammasome-induced microbiota plays a critical role in CRC development, where mice deficient in the NOD-like receptor family pyrin domain containing 6...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2015-12-01
    Description: Spinal muscular atrophy (SMA), a heritable neurodegenerative disease, results from insufficient levels of the survival motor neuron (SMN) protein. α-COP binds to SMN, linking the COPI vesicular transport pathway to SMA. Reduced levels of α-COP restricted development of neuronal processes in NSC-34 cells and primary cortical neurons. Remarkably, heterologous expression of human α-COP restored normal neurite length and morphology in SMN-depleted NSC-34 cells in vitro and zebrafish motor neurons in vivo . We identified single amino acid mutants of α-COP that selectively abrogate SMN binding, retain COPI-mediated Golgi–ER trafficking functionality, but were unable to support neurite outgrowth in cellular and zebrafish models of SMA. Taken together, these demonstrate the functional role of COPI association with the SMN protein in neuronal development.
    Print ISSN: 0964-6906
    Electronic ISSN: 1460-2083
    Topics: Biology , Medicine
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  • 3
    Publication Date: 2011-06-30
    Description: Pyrroline-carboxy-lysine (Pcl) is a demethylated form of pyrrolysine that is generated by the pyrrolysine biosynthetic enzymes when the growth media is supplemented with D-ornithine. Pcl is readily incorporated by the unmodified pyrrolysyl-tRNA/tRNA synthetase pair into proteins expressed in Escherichia coli and in mammalian cells. Here, we describe a broadly applicable conjugation chemistry that is specific for Pcl and orthogonal to all other reactive groups on proteins. The reaction of Pcl with 2-amino-benzaldehyde or 2-amino-acetophenone reagents proceeds to near completion at neutral pH with high efficiency. We illustrate the versatility of the chemistry by conjugating Pcl proteins with poly(ethylene glycol)s, peptides, oligosaccharides, oligonucleotides, fluorescence, and biotin labels and other small molecules. Because Pcl is genetically encoded by TAG codons, this conjugation chemistry enables enhancements of the pharmacology and functionality of proteins through site-specific conjugation.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 4
    Publication Date: 2018-09-20
    Description: With a vast territory and seven climate zones, China’s urbanization is constantly improving while building energy conservation and emission reduction are facing severe challenges, especially in severe cold areas. In China’s Liaoning Province, urban public buildings and rural residential buildings consume huge amounts of energy. According to the characteristics of Liaoning, “passive technology advanced, active technology second” is the best choice for energy saving and emission reduction. Taking Sino-German Energy Conservation Demonstration Center in Shenyang Jianzhu University as an example in this paper, through analysis of the operation monitoring data of energy consumption, the objective is to provide a good reference method and a design strategy for the near zero energy buildings in the severe cold areas and to verify its feasibility. At the same time, the parametric design technique is applied to feature-based design system, such as multi objective optimization and genetic ...
    Print ISSN: 1757-8981
    Electronic ISSN: 1757-899X
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
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  • 5
    Publication Date: 2011-07-30
    Description: Plants generate effective responses to infection by recognizing both conserved and variable pathogen-encoded molecules. Pathogens deploy virulence effector proteins into host cells, where they interact physically with host proteins to modulate defense. We generated an interaction network of plant-pathogen effectors from two pathogens spanning the eukaryote-eubacteria divergence, three classes of Arabidopsis immune system proteins, and ~8000 other Arabidopsis proteins. We noted convergence of effectors onto highly interconnected host proteins and indirect, rather than direct, connections between effectors and plant immune receptors. We demonstrated plant immune system functions for 15 of 17 tested host proteins that interact with effectors from both pathogens. Thus, pathogens from different kingdoms deploy independently evolved virulence proteins that interact with a limited set of highly connected cellular hubs to facilitate their diverse life-cycle strategies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170753/" 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/PMC3170753/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mukhtar, M Shahid -- Carvunis, Anne-Ruxandra -- Dreze, Matija -- Epple, Petra -- Steinbrenner, Jens -- Moore, Jonathan -- Tasan, Murat -- Galli, Mary -- Hao, Tong -- Nishimura, Marc T -- Pevzner, Samuel J -- Donovan, Susan E -- Ghamsari, Lila -- Santhanam, Balaji -- Romero, Viviana -- Poulin, Matthew M -- Gebreab, Fana -- Gutierrez, Bryan J -- Tam, Stanley -- Monachello, Dario -- Boxem, Mike -- Harbort, Christopher J -- McDonald, Nathan -- Gai, Lantian -- Chen, Huaming -- He, Yijian -- European Union Effectoromics Consortium -- Vandenhaute, Jean -- Roth, Frederick P -- Hill, David E -- Ecker, Joseph R -- Vidal, Marc -- Beynon, Jim -- Braun, Pascal -- Dangl, Jeffery L -- BB/E024815/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G015066/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- E024815/Biotechnology and Biological Sciences Research Council/United Kingdom -- F005806/Biotechnology and Biological Sciences Research Council/United Kingdom -- G015066/Biotechnology and Biological Sciences Research Council/United Kingdom -- GM-066025/GM/NIGMS NIH HHS/ -- P50 HG004233/HG/NHGRI NIH HHS/ -- P50 HG004233-04/HG/NHGRI NIH HHS/ -- P50-HG004233/HG/NHGRI NIH HHS/ -- R01 GM066025/GM/NIGMS NIH HHS/ -- R01 GM066025-07/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2011 Jul 29;333(6042):596-601. doi: 10.1126/science.1203659.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21798943" target="_blank"〉PubMed〈/a〉
    Keywords: Arabidopsis/genetics/*immunology/*metabolism/microbiology ; Bacterial Proteins/metabolism ; Evolution, Molecular ; Genes, Plant ; *Host-Pathogen Interactions ; Immunity, Innate ; Oomycetes/pathogenicity ; Plant Diseases/*immunology ; *Plant Immunity ; Protein Interaction Mapping ; Pseudomonas syringae/pathogenicity ; Receptors, Immunologic/*metabolism ; Virulence Factors/*metabolism
    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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  • 6
    Publication Date: 2004-01-06
    Description: To initiate studies on how protein-protein interaction (or "interactome") networks relate to multicellular functions, we have mapped a large fraction of the Caenorhabditis elegans interactome network. Starting with a subset of metazoan-specific proteins, more than 4000 interactions were identified from high-throughput, yeast two-hybrid (HT=Y2H) screens. Independent coaffinity purification assays experimentally validated the overall quality of this Y2H data set. Together with already described Y2H interactions and interologs predicted in silico, the current version of the Worm Interactome (WI5) map contains approximately 5500 interactions. Topological and biological features of this interactome network, as well as its integration with phenome and transcriptome data sets, lead to numerous biological hypotheses.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698949/" 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/PMC1698949/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Siming -- Armstrong, Christopher M -- Bertin, Nicolas -- Ge, Hui -- Milstein, Stuart -- Boxem, Mike -- Vidalain, Pierre-Olivier -- Han, Jing-Dong J -- Chesneau, Alban -- Hao, Tong -- Goldberg, Debra S -- Li, Ning -- Martinez, Monica -- Rual, Jean-Francois -- Lamesch, Philippe -- Xu, Lai -- Tewari, Muneesh -- Wong, Sharyl L -- Zhang, Lan V -- Berriz, Gabriel F -- Jacotot, Laurent -- Vaglio, Philippe -- Reboul, Jerome -- Hirozane-Kishikawa, Tomoko -- Li, Qianru -- Gabel, Harrison W -- Elewa, Ahmed -- Baumgartner, Bridget -- Rose, Debra J -- Yu, Haiyuan -- Bosak, Stephanie -- Sequerra, Reynaldo -- Fraser, Andrew -- Mango, Susan E -- Saxton, William M -- Strome, Susan -- Van Den Heuvel, Sander -- Piano, Fabio -- Vandenhaute, Jean -- Sardet, Claude -- Gerstein, Mark -- Doucette-Stamm, Lynn -- Gunsalus, Kristin C -- Harper, J Wade -- Cusick, Michael E -- Roth, Frederick P -- Hill, David E -- Vidal, Marc -- R01 AG011085/AG/NIA NIH HHS/ -- R01 GM034059/GM/NIGMS NIH HHS/ -- R01 GM034059-18/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2004 Jan 23;303(5657):540-3. Epub 2004 Jan 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Dana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 44 Binney Street, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14704431" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/genetics/*metabolism ; Caenorhabditis elegans Proteins/genetics/*metabolism ; Computational Biology ; Evolution, Molecular ; Genes, Helminth ; Genomics ; Open Reading Frames ; Phenotype ; Protein Binding ; Proteome/*metabolism ; Transcription, Genetic ; Two-Hybrid System Techniques
    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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  • 7
    Publication Date: 2012-07-20
    Description: Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations, and large numbers of somatic genomic alterations, associated with a predisposition to cancer. However, it remains difficult to distinguish background, or 'passenger', cancer mutations from causal, or 'driver', mutations in these data sets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. Here we test the hypothesis that genomic variations and tumour viruses may cause cancer through related mechanisms, by systematically examining host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways, such as Notch signalling and apoptosis, that go awry in cancer. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on a par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches increase the specificity of cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate the prioritization of cancer-causing driver genes to advance the understanding of the genetic basis of human cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408847/" 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/PMC3408847/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rozenblatt-Rosen, Orit -- Deo, Rahul C -- Padi, Megha -- Adelmant, Guillaume -- Calderwood, Michael A -- Rolland, Thomas -- Grace, Miranda -- Dricot, Amelie -- Askenazi, Manor -- Tavares, Maria -- Pevzner, Samuel J -- Abderazzaq, Fieda -- Byrdsong, Danielle -- Carvunis, Anne-Ruxandra -- Chen, Alyce A -- Cheng, Jingwei -- Correll, Mick -- Duarte, Melissa -- Fan, Changyu -- Feltkamp, Mariet C -- Ficarro, Scott B -- Franchi, Rachel -- Garg, Brijesh K -- Gulbahce, Natali -- Hao, Tong -- Holthaus, Amy M -- James, Robert -- Korkhin, Anna -- Litovchick, Larisa -- Mar, Jessica C -- Pak, Theodore R -- Rabello, Sabrina -- Rubio, Renee -- Shen, Yun -- Singh, Saurav -- Spangle, Jennifer M -- Tasan, Murat -- Wanamaker, Shelly -- Webber, James T -- Roecklein-Canfield, Jennifer -- Johannsen, Eric -- Barabasi, Albert-Laszlo -- Beroukhim, Rameen -- Kieff, Elliott -- Cusick, Michael E -- Hill, David E -- Munger, Karl -- Marto, Jarrod A -- Quackenbush, John -- Roth, Frederick P -- DeCaprio, James A -- Vidal, Marc -- F32 GM095284/GM/NIGMS NIH HHS/ -- F32GM095284/GM/NIGMS NIH HHS/ -- K08 CA122833/CA/NCI NIH HHS/ -- K08 HL098361/HL/NHLBI NIH HHS/ -- K08HL098361/HL/NHLBI NIH HHS/ -- K25 HG006031/HG/NHGRI NIH HHS/ -- K25HG006031/HG/NHGRI NIH HHS/ -- P01 CA050661/CA/NCI NIH HHS/ -- P01CA050661/CA/NCI NIH HHS/ -- P50 HG004233/HG/NHGRI NIH HHS/ -- P50HG004233/HG/NHGRI NIH HHS/ -- R01 CA047006/CA/NCI NIH HHS/ -- R01 CA063113/CA/NCI NIH HHS/ -- R01 CA066980/CA/NCI NIH HHS/ -- R01 CA081135/CA/NCI NIH HHS/ -- R01 CA085180/CA/NCI NIH HHS/ -- R01 CA093804/CA/NCI NIH HHS/ -- R01 CA131354/CA/NCI NIH HHS/ -- R01 HG001715/HG/NHGRI NIH HHS/ -- R01CA047006/CA/NCI NIH HHS/ -- R01CA063113/CA/NCI NIH HHS/ -- R01CA066980/CA/NCI NIH HHS/ -- R01CA081135/CA/NCI NIH HHS/ -- R01CA085180/CA/NCI NIH HHS/ -- R01CA093804/CA/NCI NIH HHS/ -- R01CA131354/CA/NCI NIH HHS/ -- R01HG001715/HG/NHGRI NIH HHS/ -- T32 HL007208/HL/NHLBI NIH HHS/ -- T32HL007208/HL/NHLBI NIH HHS/ -- U01 CA141583/CA/NCI NIH HHS/ -- U01CA141583/CA/NCI NIH HHS/ -- England -- Nature. 2012 Jul 26;487(7408):491-5. doi: 10.1038/nature11288.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genomic Analysis of Network Perturbations Center of Excellence in Genomic Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22810586" target="_blank"〉PubMed〈/a〉
    Keywords: Adenoviridae/genetics/metabolism/pathogenicity ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, Neoplasm/*genetics ; Genome, Human/*genetics ; Herpesvirus 4, Human/genetics/metabolism/pathogenicity ; *Host-Pathogen Interactions/genetics ; Humans ; Neoplasms/*genetics/*metabolism/pathology ; Oncogenic Viruses/genetics/metabolism/*pathogenicity ; Open Reading Frames/genetics ; Papillomaviridae/genetics/metabolism/pathogenicity ; Polyomavirus/genetics/metabolism/pathogenicity ; Receptors, Notch/metabolism ; Signal Transduction ; Two-Hybrid System Techniques ; Viral Proteins/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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  • 8
    Publication Date: 2008-08-23
    Description: Current yeast interactome network maps contain several hundred molecular complexes with limited and somewhat controversial representation of direct binary interactions. We carried out a comparative quality assessment of current yeast interactome data sets, demonstrating that high-throughput yeast two-hybrid (Y2H) screening provides high-quality binary interaction information. Because a large fraction of the yeast binary interactome remains to be mapped, we developed an empirically controlled mapping framework to produce a "second-generation" high-quality, high-throughput Y2H data set covering approximately 20% of all yeast binary interactions. Both Y2H and affinity purification followed by mass spectrometry (AP/MS) data are of equally high quality but of a fundamentally different and complementary nature, resulting in networks with different topological and biological properties. Compared to co-complex interactome models, this binary map is enriched for transient signaling interactions and intercomplex connections with a highly significant clustering between essential proteins. Rather than correlating with essentiality, protein connectivity correlates with genetic pleiotropy.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2746753/" 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/PMC2746753/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yu, Haiyuan -- Braun, Pascal -- Yildirim, Muhammed A -- Lemmens, Irma -- Venkatesan, Kavitha -- Sahalie, Julie -- Hirozane-Kishikawa, Tomoko -- Gebreab, Fana -- Li, Na -- Simonis, Nicolas -- Hao, Tong -- Rual, Jean-Francois -- Dricot, Amelie -- Vazquez, Alexei -- Murray, Ryan R -- Simon, Christophe -- Tardivo, Leah -- Tam, Stanley -- Svrzikapa, Nenad -- Fan, Changyu -- de Smet, Anne-Sophie -- Motyl, Adriana -- Hudson, Michael E -- Park, Juyong -- Xin, Xiaofeng -- Cusick, Michael E -- Moore, Troy -- Boone, Charlie -- Snyder, Michael -- Roth, Frederick P -- Barabasi, Albert-Laszlo -- Tavernier, Jan -- Hill, David E -- Vidal, Marc -- HG003224/HG/NHGRI NIH HHS/ -- R01 HG001715/HG/NHGRI NIH HHS/ -- R01 HG001715-06/HG/NHGRI NIH HHS/ -- R01 HG003224/HG/NHGRI NIH HHS/ -- R01 HG003224-04/HG/NHGRI NIH HHS/ -- R01-HG001715/HG/NHGRI NIH HHS/ -- U01 AI070499-01/AI/NIAID NIH HHS/ -- U01-A1070499-01/PHS HHS/ -- U56 CA113004/CA/NCI NIH HHS/ -- U56 CA113004-03/CA/NCI NIH HHS/ -- U56-CA113004/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2008 Oct 3;322(5898):104-10. doi: 10.1126/science.1158684. Epub 2008 Aug 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18719252" target="_blank"〉PubMed〈/a〉
    Keywords: Computational Biology ; Gene Regulatory Networks ; Mass Spectrometry ; Metabolic Networks and Pathways ; Protein Array Analysis ; Protein Binding ; *Protein Interaction Mapping/methods/standards ; Proteome/metabolism ; Proteomics ; Saccharomyces cerevisiae/genetics/*metabolism ; Saccharomyces cerevisiae Proteins/genetics/isolation & purification/*metabolism ; Signal Transduction ; Transcription Factors/metabolism ; Two-Hybrid System Techniques
    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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  • 9
    Publication Date: 2016-03-26
    Description: Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" 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/PMC4825693/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barrera, Luis A -- Vedenko, Anastasia -- Kurland, Jesse V -- Rogers, Julia M -- Gisselbrecht, Stephen S -- Rossin, Elizabeth J -- Woodard, Jaie -- Mariani, Luca -- Kock, Kian Hong -- Inukai, Sachi -- Siggers, Trevor -- Shokri, Leila -- Gordan, Raluca -- Sahni, Nidhi -- Cotsapas, Chris -- Hao, Tong -- Yi, Song -- Kellis, Manolis -- Daly, Mark J -- Vidal, Marc -- Hill, David E -- Bulyk, Martha L -- P50 HG004233/HG/NHGRI NIH HHS/ -- R01 HG003985/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1450-4. doi: 10.1126/science.aad2257. Epub 2016 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. ; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Center for Human Genetics Research and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013732" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Binding Sites ; Computer Simulation ; DNA/*metabolism ; DNA-Binding Proteins/*genetics/metabolism ; Exome/genetics ; *Gene Expression Regulation ; Genetic Diseases, Inborn/*genetics ; Genetic Variation ; Genome, Human ; Humans ; Mutation ; Polymorphism, Single Nucleotide ; Protein Array Analysis ; Protein Binding ; Sequence Analysis, DNA ; Transcription Factors/*genetics/metabolism
    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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  • 10
    Publication Date: 2016-09-27
    Description: The nanosized tremella-like NiO was synthesized by a simple hydrothermal method at low temperature. A novelty modified (CH 3 ) 4 N) 2 S/((CH 3 ) 4 N) 2 S n electrolyte was introduced in solar cell successfully and NiS as the counter electrode. Moreover, PbS sensitized p-type NiO was synthesized by chemical bath deposition (CBD) in an precursor solution to ensure the nanosized tremella-like NiO films obtain a better uniformity and high penetration. At the same time, a series of comparative experiments were designed for studying the influence of mesoporous NiO film thickness on the photoelectron characteristic of the cells. The result indicated that when there were three layers of screen printing and the thickness of NiO film was approximately 3 pm, the maximum power conversion efficiency of 0.87% was achieved, with 512 mV of V oc , 0.33% of ff and 5.14 mA cm -2 of J sc .
    Print ISSN: 1755-1307
    Electronic ISSN: 1755-1315
    Topics: Geography , Geosciences , Physics
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