A Strong 13C Chemical Shift Signature Provides the Coordination Mode of Histidines in Zinc-Binding Proteins
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Accurate and Automated Classification of Protein Secondary Structure with Psicsi
Accurate and automated classification of protein secondary structure with PsiCSI LING-HONG HUNG AND RAM SAMUDRALA Computational Genomics, Department of Microbiology, University of Washington, Seattle, Washington 98109, USA (RECEIVED July 2, 2002; FINAL REVISION October 18, 2002; ACCEPTED October 31, 2002) Abstract PsiCSI is a highly accurate and automated method of assigning secondary structure from NMR data, which is a useful intermediate step in the determination of tertiary structures. The method combines information from chemical shifts and protein sequence using three layers of neural networks. Training and testing was performed on a suite of 92 proteins (9437 residues) with known secondary and tertiary structure. Using a stringent cross-validation procedure in which the target and homologous proteins were removed from the databases used for training the neural networks, an average 89% Q3 accuracy (per residue) was observed. This is an increase of 6.2% and 5.5% (representing 36% and 33% fewer errors) over methods that use chemical shifts (CSI) or sequence information (Psipred) alone. In addition, PsiCSI improves upon the and is able to use sequence (87.4% ס translation of chemical shift information to secondary structure (Q3 without 13C shifts and 86.9% ס information as an effective substitute for sparse NMR data (Q3 with only H␣ shifts available). Finally, errors made by PsiCSI almost exclusively involve the 86.8% ס Q3 interchange of helix or strand with coil and not helix with strand (<2.5 occurrences per 10000 residues). The automation, increased accuracy, absence of gross errors, and robustness with regards to sparse data make PsiCSI ideal for high-throughput applications, and should improve the effectiveness of hybrid NMR/de novo structure determination methods. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
A Web Server for Rapid NMR-Based Protein Structure Determination Berjanskii, M.; Tang, P.; Liang, J.; Cruz, J
NRC Publications Archive Archives des publications du CNRC GeNMR: a web server for rapid NMR-based protein structure determination Berjanskii, M.; Tang, P.; Liang, J.; Cruz, J. A.; Zhou, J.; Zhou, Y.; Bassett, E.; Macdonell, C.; Lu, P.; Lin, G.; Wishart, D. S. This publication could be one of several versions: author’s original, accepted manuscript or the publisher’s version. / La version de cette publication peut être l’une des suivantes : la version prépublication de l’auteur, la version acceptée du manuscrit ou la version de l’éditeur. For the publisher’s version, please access the DOI link below./ Pour consulter la version de l’éditeur, utilisez le lien DOI ci-dessous. Publisher’s version / Version de l'éditeur: https://doi.org/10.1093/nar/gkp280 Nucleic Acids Research, 37, Suppl. 2, pp. W670-W677, 2009-07-01 NRC Publications Record / Notice d'Archives des publications de CNRC: https://nrc-publications.canada.ca/eng/view/object/?id=8c24f92f-5a63-4bc9-9510-868e720b942e https://publications-cnrc.canada.ca/fra/voir/objet/?id=8c24f92f-5a63-4bc9-9510-868e720b942e Access and use of this website and the material on it are subject to the Terms and Conditions set forth at https://nrc-publications.canada.ca/eng/copyright READ THESE TERMS AND CONDITIONS CAREFULLY BEFORE USING THIS WEBSITE. L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site https://publications-cnrc.canada.ca/fra/droits LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB. Questions? Contact the NRC Publications Archive team at [email protected]. -
Chemical Shift Secondary Structure Population Inference
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.20.432095; this version posted February 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 CheSPI: Chemical shift Secondary structure Population Inference Jakob Toudahl Nielsen1* and Frans A.A. Mulder1* 1Interdisciplinary Nanoscience Center (iNANO) and Department of Chemistry, Aarhus University, Gustav Wieds VeJ 14, 8000 Aarhus C, Denmark *Correspondence to: [email protected], [email protected] ORCID: Jtn http://orcid.org/0000-0002-9554-4662 faam http://orcid.org/0000-0001-9427-8406 Keywords: NMR, protein, order, disorder, chemical shifts Abstract NMR chemical shifts (CSs) are delicate reporters of local protein structure, and recent advances in random coil CS (RCCS) prediction and interpretation now offer the compelling prospect of inferring small populations of structure from small deviations from RCCSs. Here, we present CheSPI, a simple and efficient method that provides unbiased and sensitive aggregate measures of local structure and disorder. It is demonstrated that CheSPI can predict even very small amounts of residual structure and robustly delineate subtle differences into four structural classes for intrinsically disordered proteins. For structured regions and proteins, CheSPI can assign up to eight structural classes, which coincide with the well-known DSSP classification. The program is freely available, and can either be invoked from URL www.protein-nmr.org as a web implementation, or run locally from command line as a python program. -
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Breeze et al. Genome Medicine (2021) 13:74 https://doi.org/10.1186/s13073-021-00877-z RESEARCH Open Access Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci Charles E. Breeze1,2,3* , Anna Batorsky4, Mi Kyeong Lee5, Mindy D. Szeto6, Xiaoguang Xu7, Daniel L. McCartney8, Rong Jiang9, Amit Patki10, Holly J. Kramer11,12, James M. Eales7, Laura Raffield13, Leslie Lange6, Ethan Lange6, Peter Durda14, Yongmei Liu15, Russ P. Tracy14,16, David Van Den Berg17, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed MESA Multi-Omics Working Group, Kathryn L. Evans8, William E. Kraus15,18, Svati Shah15,18, Hermant K. Tiwari10, Lifang Hou19,20, Eric A. Whitsel21,22, Xiao Jiang7, Fadi J. Charchar23,24,25, Andrea A. Baccarelli26, Stephen S. Rich27, Andrew P. Morris28, Marguerite R. Irvin29, Donna K. Arnett30, Elizabeth R. Hauser15,31, Jerome I. Rotter32, Adolfo Correa33, Caroline Hayward34, Steve Horvath35,36, Riccardo E. Marioni8, Maciej Tomaszewski7,37, Stephan Beck2, Sonja I. Berndt1, Stephanie J. London5, Josyf C. Mychaleckyj27 and Nora Franceschini21* Abstract Background: DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach. Methods: The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. -
CSI 3.0: a Web Server for Identifying Secondary and Super-Secondary Structure in Proteins Using NMR Chemical Shifts Noor E
W370–W377 Nucleic Acids Research, 2015, Vol. 43, Web Server issue Published online 15 May 2015 doi: 10.1093/nar/gkv494 CSI 3.0: a web server for identifying secondary and super-secondary structure in proteins using NMR chemical shifts Noor E. Hafsa1, David Arndt1 and David S. Wishart1,2,* 1Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada and 2Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E8, Canada Received March 10, 2015; Revised April 23, 2015; Accepted May 02, 2015 ABSTRACT ture elements has long been an integral part of the pro- tein structure determination process. This is particularly The Chemical Shift Index or CSI 3.0 (http://csi3. true for nuclear magnetic resonance (NMR)-based protein wishartlab.com) is a web server designed to accu- structure determination where secondary structure is used rately identify the location of secondary and super- to help in structure generation and refinement (2,3). In pro- secondary structures in protein chains using only tein NMR, secondary structures are traditionally identi- nuclear magnetic resonance (NMR) backbone chem- fied and assigned using NOE-based (Nuclear Overhauser ical shifts and their corresponding protein sequence Effect) methods. By manually analyzing the positions and data. Unlike earlier versions of CSI, which only iden- patterns of weak, medium or strong NOEs it is possible to tified three types of secondary structure (helix, - identify helices, -turns and -stands with reasonably good strand and coil), CSI 3.0 now identifies total of 11 accuracy. Even today NOE pattern measurements continue types of secondary and super-secondary structures, to be the most commonly used method for identifying sec- ondary structures in peptides and proteins (2). -
BMC Structural Biology Biomed Central
BMC Structural Biology BioMed Central Research article Open Access Relationship between chemical shift value and accessible surface area for all amino acid atoms Wim F Vranken*1 and Wolfgang Rieping2 Address: 1Protein Databank Europe, European Bioinformatics Institute, Cambridge, UK and 2Department of Biochemistry, University of Cambridge, Cambridge, UK Email: Wim F Vranken* - [email protected]; Wolfgang Rieping - [email protected] * Corresponding author Published: 2 April 2009 Received: 12 November 2008 Accepted: 2 April 2009 BMC Structural Biology 2009, 9:20 doi:10.1186/1472-6807-9-20 This article is available from: http://www.biomedcentral.com/1472-6807/9/20 © 2009 Vranken and Rieping; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Chemical shifts obtained from NMR experiments are an important tool in determining secondary, even tertiary, protein structure. The main repository for chemical shift data is the BioMagResBank, which provides NMR-STAR files with this type of information. However, it is not trivial to link this information to available coordinate data from the PDB for non-backbone atoms due to atom and chain naming differences, as well as sequence numbering changes. Results: We here describe the analysis of a consistent set of chemical shift and coordinate data, in which we focus on the relationship between the per-atom solvent accessible surface area (ASA) in the reported coordinates and their reported chemical shift value. -
Functional Equivalence of the Zinc Finger Transcription Factors Osr1 and Osr2 in Mouse Development
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Developmental Biology 328 (2009) 200–209 Contents lists available at ScienceDirect Developmental Biology journal homepage: www.elsevier.com/developmentalbiology Functional equivalence of the zinc finger transcription factors Osr1 and Osr2 in mouse development Yang Gao, Yu Lan, Catherine E. Ovitt, Rulang Jiang ⁎ Department of Biomedical Genetics and Center for Oral Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA article info abstract Article history: Osr1 and Osr2 are the only mammalian homologs of the Drosophila odd-skipped family developmental Received for publication 7 July 2008 regulators. The Osr1 protein contains three zinc-finger motifs whereas Osr2 exists in two isoforms, Revised 6 January 2009 containing three and five zinc-finger motifs respectively, due to alternative splicing of the transcripts. Accepted 6 January 2009 Targeted null mutations in these genes in mice resulted in distinct phenotypes, with heart and urogenital Available online 14 January 2009 developmental defects in Osr1−/− mice and with cleft palate and open eyelids at birth in Osr2−/− mice. To Keywords: investigate whether these contrasting mutant phenotypes are due to differences in their protein structure or Cleft palate to differential expression patterns, we generated mice in which the endogenous Osr2 coding region was Eyelid development replaced by either Osr1 cDNA or Osr2A cDNA encoding the five-finger isoform. The knockin alleles Fgf10, Functional equivalence recapitulated endogenous Osr2 mRNA expression patterns in most tissues and completely rescued cleft Gene substitution palate and cranial skeletal developmental defects of Osr2−/− mice. -
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! ii! Acknowledgements Lots of people have helped me get to where I am today and I apologize if I have left anyone out. First, I would like to thank my mother and father for always pushing me to try harder and encouraging me to persist in my scientific career. Both of my parents encouraged me to think like a scientist from a young age. I don’t think I would be here today without that early upbringing. Joining the Pollard lab was the best decision I made in graduate school. I can’t emphasize the importance of finding a good mentor in school. My advisor, Katherine Pollard, provided me with a model of leadership that I will carry with me for the rest of my career. Additionally, I would like to emphasize that the lab is full of driven individuals that have supported me in all my scientific endeavors. Fellow graduate students, Aram Avila-Herrera and Genevieve Erwin Haliburton, guided much of my direction during the early years. In addition, postdoctoral scholars Nandita Garud, Hassan Samee, Patrick Bradley, and Geoffrey Fudenberg were key in helping me prepare for my future steps in my career. I want to thank my committee members for sitting through long meetings and giving me the feedback I needed. Nadav Ahituv, Benoit Bruneau, and Jeff Wall have given me valuable advice on whether to pursue certain directions in my research. I also want to acknowledge all the individuals that supported me personally in school. In particular, I have always valued Sara Calhoun’s well-thought-out advice and Rose ! iii! Citron’s insight when making important decisions. -
An Efficient Backbone Assignment Tool for NMR Studies of Proteins
Reduced Dimensionality (4,3)D-hnCOCANH Experiment: An Efficient Backbone Assignment tool for NMR studies of Proteins Dinesh Kumar* Centre of Biomedical Magnetic Resonance, SGPGIMS Campus, Raibareli Road, Lucknow-226014, India; *Email: [email protected] KEYWORDS: Multidimensional NMR; Backbone Assignment; hncoCANH, hnCOcaNH; Sequential Correlations. ABBREVIATIONS: NMR, Nuclear Magnetic Resonance; HSQC, Heteronuclear Single Quantum Correlation; CARA, Computer Aided Resonance Assignment; RD: Reduced dimensionality. 1 Abstract: Sequence specific resonance assignment and secondary structure determination of proteins form the basis for variety of structural and functional proteomics studies by NMR. In this context, an efficient standalone method for rapid assignment of backbone (1H, 15N, 13C and 13C') resonances and secondary structure determination of proteins has been presented here. Compared to currently available strategies used for the purpose, the method employs only a single reduced dimensionality (RD) experiment -(4,3)D-hnCOCANH and exploits the linear combinations of backbone (13C and 13C') chemical shifts to achieve a dispersion relatively better compared to those of individual chemical shifts (see the text) for efficient and rapid data analysis. Further, the experiment leads to the spectrum with direct distinction of self (intra-residue) and sequential (inter-residue) carbon correlation peaks; these appear opposite in signs and therefore can easily be discriminated without using an additional complementary experiment. On top of -
Lmx1b-Targeted Cis-Regulatory Modules Involved in Limb Dorsalization Endika Haro1, Billy A
© 2017. Published by The Company of Biologists Ltd | Development (2017) 144, 2009-2020 doi:10.1242/dev.146332 RESEARCH ARTICLE Lmx1b-targeted cis-regulatory modules involved in limb dorsalization Endika Haro1, Billy A. Watson1,2, Jennifer M. Feenstra1, Luke Tegeler1, Charmaine U. Pira1, Subburaman Mohan3 and Kerby C. Oberg1,* ABSTRACT limb bud apex (Bell et al., 1998). Bmp signals from the lateral plate Lmx1b is a homeodomain transcription factor responsible for limb mesoderm trigger the activation of En1 in the ventral limb ectoderm dorsalization. Despite striking double-ventral (loss-of-function) and (Pizette et al., 2001). En1 expression expands in the ventral double-dorsal (gain-of-function) limb phenotypes, no direct gene ectoderm, restricting Wnt7a expression to the dorsal ectoderm targets in the limb have been confirmed. To determine direct targets, (Loomis et al., 1996; Cygan et al., 1997; Loomis et al., 1998). The we performed a chromatin immunoprecipitation against Lmx1b restricted dorsal secretion of Wnt7a imparts polarity to the in mouse limbs at embryonic day 12.5 followed by next-generation underlying limb mesoderm by triggering the expression of sequencing (ChIP-seq). Nearly 84% (n=617) of the Lmx1b-bound Lmx1b, a LIM homeodomain transcription factor that is genomic intervals (LBIs) identified overlap with chromatin regulatory ultimately responsible for limb dorsalization (Chen et al., 1998; marks indicative of potential cis-regulatory modules (PCRMs). In Parr and McMahon, 1995; Riddle et al., 1995; Vogel et al., 1995). addition, 73 LBIs mapped to CRMs that are known to be active during Mice lacking functional Lmx1b develop a ventral-ventral limb limb development. -
Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands That Promote Axonal Growth
Research Article: New Research Development Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands that Promote Axonal Growth Jeremy S. Toma,1 Konstantina Karamboulas,1,ª Matthew J. Carr,1,2,ª Adelaida Kolaj,1,3 Scott A. Yuzwa,1 Neemat Mahmud,1,3 Mekayla A. Storer,1 David R. Kaplan,1,2,4 and Freda D. Miller1,2,3,4 https://doi.org/10.1523/ENEURO.0066-20.2020 1Program in Neurosciences and Mental Health, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada, 2Institute of Medical Sciences University of Toronto, Toronto, Ontario M5G 1A8, Canada, 3Department of Physiology, University of Toronto, Toronto, Ontario M5G 1A8, Canada, and 4Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1A8, Canada Abstract Peripheral nerves provide a supportive growth environment for developing and regenerating axons and are es- sential for maintenance and repair of many non-neural tissues. This capacity has largely been ascribed to paracrine factors secreted by nerve-resident Schwann cells. Here, we used single-cell transcriptional profiling to identify ligands made by different injured rodent nerve cell types and have combined this with cell-surface mass spectrometry to computationally model potential paracrine interactions with peripheral neurons. These analyses show that peripheral nerves make many ligands predicted to act on peripheral and CNS neurons, in- cluding known and previously uncharacterized ligands. While Schwann cells are an important ligand source within injured nerves, more than half of the predicted ligands are made by nerve-resident mesenchymal cells, including the endoneurial cells most closely associated with peripheral axons. At least three of these mesen- chymal ligands, ANGPT1, CCL11, and VEGFC, promote growth when locally applied on sympathetic axons.