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  • Articles  (64)
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  • 1
    Publication Date: 2014-09-06
    Description: Motivation: Whole-genome sequencing of tumor samples has been demonstrated as an efficient approach for comprehensive analysis of genomic aberrations in cancer genome. Critical issues such as tumor impurity and aneuploidy, GC-content and mappability bias have been reported to complicate identification of copy number alteration and loss of heterozygosity in complex tumor samples. Therefore, efficient computational methods are required to address these issues. Results: We introduce CLImAT (CNA and LOH Assessment in Impure and Aneuploid Tumors), a bioinformatics tool for identification of genomic aberrations from tumor samples using whole-genome sequencing data. Without requiring a matched normal sample, CLImAT takes integrated analysis of read depth and allelic frequency and provides extensive data processing procedures including GC-content and mappability correction of read depth and quantile normalization of B-allele frequency. CLImAT accurately identifies copy number alteration and loss of heterozygosity even for highly impure tumor samples with aneuploidy. We evaluate CLImAT on both simulated and real DNA sequencing data to demonstrate its ability to infer tumor impurity and ploidy and identify genomic aberrations in complex tumor samples. Availability and implementation: The CLImAT software package can be freely downloaded at http://bioinformatics.ustc.edu.cn/CLImAT/ . Contact : aoli@ustc.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 2
    Publication Date: 2015-11-21
    Description: Motivation: Cysteine-rich proteins cover many important families in nature but there are currently no methods specifically designed for modeling the structure of these proteins. The accuracy of disulfide connectivity pattern prediction, particularly for the proteins of higher-order connections, e.g. 〉3 bonds, is too low to effectively assist structure assembly simulations. Results: We propose a new hierarchical order reduction protocol called Cyscon for disulfide-bonding prediction. The most confident disulfide bonds are first identified and bonding prediction is then focused on the remaining cysteine residues based on SVR training. Compared with purely machine learning-based approaches, Cyscon improved the average accuracy of connectivity pattern prediction by 21.9%. For proteins with more than 5 disulfide bonds, Cyscon improved the accuracy by 585% on the benchmark set of PDBCYS. When applied to 158 non-redundant cysteine-rich proteins, Cyscon predictions helped increase (or decrease) the TM-score (or RMSD) of the ab initio QUARK modeling by 12.1% (or 14.4%). This result demonstrates a new avenue to improve the ab initio structure modeling for cysteine-rich proteins. Availability and implementation: http://www.csbio.sjtu.edu.cn/bioinf/Cyscon/ Contact: zhng@umich.edu or hbshen@sjtu.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.
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  • 3
    Publication Date: 2013-10-04
    Description: Motivation: Residue–residue contacts across the transmembrane helices dictate the three-dimensional topology of alpha-helical membrane proteins. However, contact determination through experiments is difficult because most transmembrane proteins are hard to crystallize. Results: We present a novel method (MemBrain) to derive transmembrane inter-helix contacts from amino acid sequences by combining correlated mutations and multiple machine learning classifiers. Tested on 60 non-redundant polytopic proteins using a strict leave-one-out cross-validation protocol, MemBrain achieves an average accuracy of 62%, which is 12.5% higher than the current best method from the literature. When applied to 13 recently solved G protein-coupled receptors, the MemBrain contact predictions helped increase the TM-score of the I-TASSER models by 37% in the transmembrane region. The number of foldable cases (TM-score 〉0.5) increased by 100%, where all G protein-coupled receptor templates and homologous templates with sequence identity 〉30% were excluded. These results demonstrate significant progress in contact prediction and a potential for contact-driven structure modeling of transmembrane proteins. Availability: www.csbio.sjtu.edu.cn/bioinf/MemBrain/ Contact: hbshen@sjtu.edu.cn or zhng@umich.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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  • 4
    Publication Date: 2015-04-03
    Description: Motivation: There is a long-term interest in the challenging task of finding translocated and mislocated cancer biomarker proteins. Bioimages of subcellular protein distribution are new data sources which have attracted much attention in recent years because of their intuitive and detailed descriptions of protein distribution. However, automated methods in large-scale biomarker screening suffer significantly from the lack of subcellular location annotations for bioimages from cancer tissues. The transfer prediction idea of applying models trained on normal tissue proteins to predict the subcellular locations of cancerous ones is arbitrary because the protein distribution patterns may differ in normal and cancerous states. Results: We developed a new semi-supervised protocol that can use unlabeled cancer protein data in model construction by an iterative and incremental training strategy. Our approach enables us to selectively use the low-quality images in normal states to expand the training sample space and provides a general way for dealing with the small size of annotated images used together with large unannotated ones. Experiments demonstrate that the new semi-supervised protocol can result in improved accuracy and sensitivity of subcellular location difference detection. Availability and implementation: The data and code are available at: www.csbio.sjtu.edu.cn/bioinf/SemiBiomarker/ . Contact: hbshen@sjtu.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.
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  • 5
    Publication Date: 2002-03-23
    Description: To examine the role of T cell receptor (TCR) in gammadelta T cells in adaptive immunity, a macaque model was used to follow Vgamma2Vdelta2+ T cell responses to mycobacterial infections. These phosphoantigen-specific gammadelta T cells displayed major expansion during Mycobacterium bovis Bacille Calmette-Guerin (BCG) infection and a clear memory-type response after BCG reinfection. Primary and recall expansions of Vgamma2Vdelta2+ T cells were also seen during Mycobacterium tuberculosis infection of naive and BCG-vaccinated macaques, respectively. This capacity to rapidly expand coincided with a clearance of BCG bacteremia and immunity to fatal tuberculosis in BCG-vaccinated macaques. Thus, Vgamma2Vdelta2+ T cells may contribute to adaptive immunity to mycobacterial infections.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872146/" 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/PMC2872146/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shen, Yun -- Zhou, Dejiang -- Qiu, Liyou -- Lai, Xioamin -- Simon, Meredith -- Shen, Ling -- Kou, Zhongchen -- Wang, Qifan -- Jiang, Liming -- Estep, Jim -- Hunt, Robert -- Clagett, Michelle -- Sehgal, Prabhat K -- Li, Yunyaun -- Zeng, Xuejun -- Morita, Craig T -- Brenner, Michael B -- Letvin, Norman L -- Chen, Zheng W -- HL64560/HL/NHLBI NIH HHS/ -- R01 HL064560/HL/NHLBI NIH HHS/ -- R01 HL064560-04/HL/NHLBI NIH HHS/ -- R01 RR013601/RR/NCRR NIH HHS/ -- R01 RR013601-04/RR/NCRR NIH HHS/ -- RR13601/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2002 Mar 22;295(5563):2255-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Tuberculosis Research Unit, Division of Viral Pathogenesis, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11910108" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Immunity, Innate/immunology ; Immunologic Memory/immunology ; Lymphocyte Activation ; Lymphocyte Count ; Macaca/*immunology/*microbiology ; Mycobacterium bovis/*immunology ; Mycobacterium tuberculosis/*immunology ; Receptors, Antigen, T-Cell, gamma-delta/*immunology ; T-Lymphocytes/cytology/*immunology ; Tuberculosis/*immunology/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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  • 6
    Publication Date: 2007-04-14
    Description: The rhesus macaque (Macaca mulatta) is an abundant primate species that diverged from the ancestors of Homo sapiens about 25 million years ago. Because they are genetically and physiologically similar to humans, rhesus monkeys are the most widely used nonhuman primate in basic and applied biomedical research. We determined the genome sequence of an Indian-origin Macaca mulatta female and compared the data with chimpanzees and humans to reveal the structure of ancestral primate genomes and to identify evidence for positive selection and lineage-specific expansions and contractions of gene families. A comparison of sequences from individual animals was used to investigate their underlying genetic diversity. The complete description of the macaque genome blueprint enhances the utility of this animal model for biomedical research and improves our understanding of the basic biology of the species.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rhesus Macaque Genome Sequencing and Analysis Consortium -- Gibbs, Richard A -- Rogers, Jeffrey -- Katze, Michael G -- Bumgarner, Roger -- Weinstock, George M -- Mardis, Elaine R -- Remington, Karin A -- Strausberg, Robert L -- Venter, J Craig -- Wilson, Richard K -- Batzer, Mark A -- Bustamante, Carlos D -- Eichler, Evan E -- Hahn, Matthew W -- Hardison, Ross C -- Makova, Kateryna D -- Miller, Webb -- Milosavljevic, Aleksandar -- Palermo, Robert E -- Siepel, Adam -- Sikela, James M -- Attaway, Tony -- Bell, Stephanie -- Bernard, Kelly E -- Buhay, Christian J -- Chandrabose, Mimi N -- Dao, Marvin -- Davis, Clay -- Delehaunty, Kimberly D -- Ding, Yan -- Dinh, Huyen H -- Dugan-Rocha, Shannon -- Fulton, Lucinda A -- Gabisi, Ramatu Ayiesha -- Garner, Toni T -- Godfrey, Jennifer -- Hawes, Alicia C -- Hernandez, Judith -- Hines, Sandra -- Holder, Michael -- Hume, Jennifer -- Jhangiani, Shalini N -- Joshi, Vandita -- Khan, Ziad Mohid -- Kirkness, Ewen F -- Cree, Andrew -- Fowler, R Gerald -- Lee, Sandra -- Lewis, Lora R -- Li, Zhangwan -- Liu, Yih-Shin -- Moore, Stephanie M -- Muzny, Donna -- Nazareth, Lynne V -- Ngo, Dinh Ngoc -- Okwuonu, Geoffrey O -- Pai, Grace -- Parker, David -- Paul, Heidie A -- Pfannkoch, Cynthia -- Pohl, Craig S -- Rogers, Yu-Hui -- Ruiz, San Juana -- Sabo, Aniko -- Santibanez, Jireh -- Schneider, Brian W -- Smith, Scott M -- Sodergren, Erica -- Svatek, Amanda F -- Utterback, Teresa R -- Vattathil, Selina -- Warren, Wesley -- White, Courtney Sherell -- Chinwalla, Asif T -- Feng, Yucheng -- Halpern, Aaron L -- Hillier, Ladeana W -- Huang, Xiaoqiu -- Minx, Pat -- Nelson, Joanne O -- Pepin, Kymberlie H -- Qin, Xiang -- Sutton, Granger G -- Venter, Eli -- Walenz, Brian P -- Wallis, John W -- Worley, Kim C -- Yang, Shiaw-Pyng -- Jones, Steven M -- Marra, Marco A -- Rocchi, Mariano -- Schein, Jacqueline E -- Baertsch, Robert -- Clarke, Laura -- Csuros, Miklos -- Glasscock, Jarret -- Harris, R Alan -- Havlak, Paul -- Jackson, Andrew R -- Jiang, Huaiyang -- Liu, Yue -- Messina, David N -- Shen, Yufeng -- Song, Henry Xing-Zhi -- Wylie, Todd -- Zhang, Lan -- Birney, Ewan -- Han, Kyudong -- Konkel, Miriam K -- Lee, Jungnam -- Smit, Arian F A -- Ullmer, Brygg -- Wang, Hui -- Xing, Jinchuan -- Burhans, Richard -- Cheng, Ze -- Karro, John E -- Ma, Jian -- Raney, Brian -- She, Xinwei -- Cox, Michael J -- Demuth, Jeffery P -- Dumas, Laura J -- Han, Sang-Gook -- Hopkins, Janet -- Karimpour-Fard, Anis -- Kim, Young H -- Pollack, Jonathan R -- Vinar, Tomas -- Addo-Quaye, Charles -- Degenhardt, Jeremiah -- Denby, Alexandra -- Hubisz, Melissa J -- Indap, Amit -- Kosiol, Carolin -- Lahn, Bruce T -- Lawson, Heather A -- Marklein, Alison -- Nielsen, Rasmus -- Vallender, Eric J -- Clark, Andrew G -- Ferguson, Betsy -- Hernandez, Ryan D -- Hirani, Kashif -- Kehrer-Sawatzki, Hildegard -- Kolb, Jessica -- Patil, Shobha -- Pu, Ling-Ling -- Ren, Yanru -- Smith, David Glenn -- Wheeler, David A -- Schenck, Ian -- Ball, Edward V -- Chen, Rui -- Cooper, David N -- Giardine, Belinda -- Hsu, Fan -- Kent, W James -- Lesk, Arthur -- Nelson, David L -- O'brien, William E -- Prufer, Kay -- Stenson, Peter D -- Wallace, James C -- Ke, Hui -- Liu, Xiao-Ming -- Wang, Peng -- Xiang, Andy Peng -- Yang, Fan -- Barber, Galt P -- Haussler, David -- Karolchik, Donna -- Kern, Andy D -- Kuhn, Robert M -- Smith, Kayla E -- Zwieg, Ann S -- 062023/Wellcome Trust/United Kingdom -- R01 HG002939/HG/NHGRI NIH HHS/ -- U54 HG003068/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2007 Apr 13;316(5822):222-34.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA. agibbs@bcm.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17431167" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biomedical Research ; *Evolution, Molecular ; Female ; Gene Duplication ; Gene Rearrangement ; Genetic Diseases, Inborn ; Genetic Variation ; *Genome ; Humans ; Macaca mulatta/*genetics ; Male ; Multigene Family ; Mutation ; Pan troglodytes/genetics ; Sequence Analysis, DNA ; Species Specificity
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  • 7
    Publication Date: 2009-08-29
    Description: A single-base pair resolution silkworm genetic variation map was constructed from 40 domesticated and wild silkworms, each sequenced to approximately threefold coverage, representing 99.88% of the genome. We identified ~16 million single-nucleotide polymorphisms, many indels, and structural variations. We find that the domesticated silkworms are clearly genetically differentiated from the wild ones, but they have maintained large levels of genetic variability, suggesting a short domestication event involving a large number of individuals. We also identified signals of selection at 354 candidate genes that may have been important during domestication, some of which have enriched expression in the silk gland, midgut, and testis. These data add to our understanding of the domestication processes and may have applications in devising pest control strategies and advancing the use of silkworms as efficient bioreactors.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951477/" 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/PMC3951477/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xia, Qingyou -- Guo, Yiran -- Zhang, Ze -- Li, Dong -- Xuan, Zhaoling -- Li, Zhuo -- Dai, Fangyin -- Li, Yingrui -- Cheng, Daojun -- Li, Ruiqiang -- Cheng, Tingcai -- Jiang, Tao -- Becquet, Celine -- Xu, Xun -- Liu, Chun -- Zha, Xingfu -- Fan, Wei -- Lin, Ying -- Shen, Yihong -- Jiang, Lan -- Jensen, Jeffrey -- Hellmann, Ines -- Tang, Si -- Zhao, Ping -- Xu, Hanfu -- Yu, Chang -- Zhang, Guojie -- Li, Jun -- Cao, Jianjun -- Liu, Shiping -- He, Ningjia -- Zhou, Yan -- Liu, Hui -- Zhao, Jing -- Ye, Chen -- Du, Zhouhe -- Pan, Guoqing -- Zhao, Aichun -- Shao, Haojing -- Zeng, Wei -- Wu, Ping -- Li, Chunfeng -- Pan, Minhui -- Li, Jingjing -- Yin, Xuyang -- Li, Dawei -- Wang, Juan -- Zheng, Huisong -- Wang, Wen -- Zhang, Xiuqing -- Li, Songgang -- Yang, Huanming -- Lu, Cheng -- Nielsen, Rasmus -- Zhou, Zeyang -- Wang, Jian -- Xiang, Zhonghuai -- Wang, Jun -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01 HG003229-05/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2009 Oct 16;326(5951):433-6. doi: 10.1126/science.1176620. Epub 2009 Aug 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Key Sericultural Laboratory of Agricultural Ministry, College of Biotechnology, Southwest University, Chongqing 400715, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19713493" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bombyx/classification/*genetics ; Digestive System/metabolism ; Exocrine Glands/metabolism ; Female ; Gene Expression ; *Genes, Insect ; *Genetic Variation ; *Genome, Insect ; INDEL Mutation ; Linkage Disequilibrium ; Male ; Phylogeny ; Polymorphism, Single Nucleotide ; Principal Component Analysis ; Selection, Genetic ; *Sequence Analysis, DNA ; Testis/metabolism
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  • 8
    Publication Date: 2009-04-18
    Description: DNA cytosine methylation is crucial for retrotransposon silencing and mammalian development. In a computational search for enzymes that could modify 5-methylcytosine (5mC), we identified TET proteins as mammalian homologs of the trypanosome proteins JBP1 and JBP2, which have been proposed to oxidize the 5-methyl group of thymine. We show here that TET1, a fusion partner of the MLL gene in acute myeloid leukemia, is a 2-oxoglutarate (2OG)- and Fe(II)-dependent enzyme that catalyzes conversion of 5mC to 5-hydroxymethylcytosine (hmC) in cultured cells and in vitro. hmC is present in the genome of mouse embryonic stem cells, and hmC levels decrease upon RNA interference-mediated depletion of TET1. Thus, TET proteins have potential roles in epigenetic regulation through modification of 5mC to hmC.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2715015/" 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/PMC2715015/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tahiliani, Mamta -- Koh, Kian Peng -- Shen, Yinghua -- Pastor, William A -- Bandukwala, Hozefa -- Brudno, Yevgeny -- Agarwal, Suneet -- Iyer, Lakshminarayan M -- Liu, David R -- Aravind, L -- Rao, Anjana -- AI44432/AI/NIAID NIH HHS/ -- K08 HL089150/HL/NHLBI NIH HHS/ -- R01 GM065865/GM/NIGMS NIH HHS/ -- R01 GM065865-05A1/GM/NIGMS NIH HHS/ -- R01GM065865/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2009 May 15;324(5929):930-5. doi: 10.1126/science.1170116. Epub 2009 Apr 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Harvard Medical School and Immune Disease Institute, 200 Longwood Avenue, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19372391" target="_blank"〉PubMed〈/a〉
    Keywords: 5-Methylcytosine/*metabolism ; Amino Acid Sequence ; Animals ; Cell Line ; Cytosine/*analogs & derivatives/analysis/metabolism ; DNA/chemistry/*metabolism ; DNA Methylation ; DNA-Binding Proteins/chemistry/genetics/*metabolism ; Dinucleoside Phosphates/metabolism ; Embryonic Stem Cells/chemistry/metabolism ; Humans ; Hydroxylation ; Mass Spectrometry ; Mice ; Molecular Sequence Data ; Proto-Oncogene Proteins/chemistry/genetics/*metabolism ; RNA Interference ; Sequence Alignment ; Transfection
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  • 9
    Publication Date: 2011-04-02
    Description: Macroscopic polarization density, characteristic of ferroelectric phases, is stabilized by dipolar intermolecular interactions. These are weakened as materials become more fluid and of higher symmetry, limiting ferroelectricity to crystals and to smectic liquid crystal stackings of fluid layers. We report the SmAP(F), the smectic of fluid polar orthorhombic layers that order into a three-dimensional ferroelectric state, the highest-symmetry layered ferroelectric possible and the highest-symmetry ferroelectric material found to date. Its bent-core molecular design employs a single flexible tail that stabilizes layers with untilted molecules and in-plane polar ordering, evident in monolayer-thick freely suspended films. Electro-optic response reveals the three-dimensional orthorhombic ferroelectric structure, stabilized by silane molecular terminations that promote parallel alignment of the molecular dipoles in adjacent layers.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reddy, R Amaranatha -- Zhu, Chenhui -- Shao, Renfan -- Korblova, Eva -- Gong, Tao -- Shen, Yongqiang -- Garcia, Edgardo -- Glaser, Matthew A -- Maclennan, Joseph E -- Walba, David M -- Clark, Noel A -- New York, N.Y. -- Science. 2011 Apr 1;332(6025):72-7. doi: 10.1126/science.1197248.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Chemistry and Biochemistry, Liquid Crystal Materials Research Center, University of Colorado, Boulder, CO 80309-0215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21454782" target="_blank"〉PubMed〈/a〉
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  • 10
    Publication Date: 2011-04-02
    Description: Heparan and chondroitin sulfate proteoglycans (HSPGs and CSPGs, respectively) regulate numerous cell surface signaling events, with typically opposite effects on cell function. CSPGs inhibit nerve regeneration through receptor protein tyrosine phosphatase sigma (RPTPsigma). Here we report that RPTPsigma acts bimodally in sensory neuron extension, mediating CSPG inhibition and HSPG growth promotion. Crystallographic analyses of a shared HSPG-CSPG binding site reveal a conformational plasticity that can accommodate diverse glycosaminoglycans with comparable affinities. Heparan sulfate and analogs induced RPTPsigma ectodomain oligomerization in solution, which was inhibited by chondroitin sulfate. RPTPsigma and HSPGs colocalize in puncta on sensory neurons in culture, whereas CSPGs occupy the extracellular matrix. These results lead to a model where proteoglycans can exert opposing effects on neuronal extension by competing to control the oligomerization of a common receptor.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154093/" 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/PMC3154093/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Coles, Charlotte H -- Shen, Yingjie -- Tenney, Alan P -- Siebold, Christian -- Sutton, Geoffrey C -- Lu, Weixian -- Gallagher, John T -- Jones, E Yvonne -- Flanagan, John G -- Aricescu, A Radu -- 090532/Wellcome Trust/United Kingdom -- 10976/Cancer Research UK/United Kingdom -- EY11559/EY/NEI NIH HHS/ -- G0700232/Medical Research Council/United Kingdom -- G0900084/Medical Research Council/United Kingdom -- HD29417/HD/NICHD NIH HHS/ -- R01 EY011559/EY/NEI NIH HHS/ -- R01 EY011559-19/EY/NEI NIH HHS/ -- R37 HD029417/HD/NICHD NIH HHS/ -- R37 HD029417-20/HD/NICHD NIH HHS/ -- Cancer Research UK/United Kingdom -- Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2011 Apr 22;332(6028):484-8. doi: 10.1126/science.1200840. Epub 2011 Mar 31.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21454754" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Axons/*physiology ; Binding Sites ; Cell Membrane/metabolism ; Cells, Cultured ; Chondroitin Sulfate Proteoglycans/chemistry/*metabolism ; Chondroitin Sulfates/chemistry/metabolism ; Crystallography, X-Ray ; Extracellular Matrix ; Ganglia, Spinal ; Glypicans/metabolism ; Growth Cones/metabolism ; Heparan Sulfate Proteoglycans/chemistry/*metabolism ; Heparitin Sulfate/analogs & derivatives/chemistry/metabolism ; Humans ; Mice ; Models, Biological ; Models, Molecular ; Molecular Sequence Data ; Neurites/physiology ; Neurocan/metabolism ; Protein Conformation ; Protein Multimerization ; Protein Structure, Tertiary ; Receptor-Like Protein Tyrosine Phosphatases, Class 2/*chemistry/*metabolism ; Sensory Receptor Cells/*physiology
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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