IDEAS home Printed from https://ideas.repec.org/a/adp/joajnn/v6y2017i3p40-44.html
   My bibliography  Save this article

Unfoldin, A Novel Tool for the Analysis of Protein Misfolding or Neurodegenerative Diseases

Author

Listed:
  • Naomi S Hachiya

    (Research and development Department, Tokyo metropolitan Industrial Technology Research Institute, Japan)

Abstract

The achievement of accurate protein folding in living cells is not easy. Many newly synthesized proteins fail to adopt the correct conformation, and such misfolded proteins are more likely to form aggregates. These aggregates lead to the collapse of cellular proteostasis and the formation of inclusion bodies inside or outside the cell membrane, thus exhibiting toxicity to neurons, in particular. This phenomenon has been a major causative factor of neurodegenerative diseases, including protein-misfolding/aggregation diseases.

Suggested Citation

  • Naomi S Hachiya, 2017. "Unfoldin, A Novel Tool for the Analysis of Protein Misfolding or Neurodegenerative Diseases," Open Access Journal of Neurology & Neurosurgery, Juniper Publishers Inc., vol. 6(3), pages 40-44, October.
  • Handle: RePEc:adp:joajnn:v:6:y:2017:i:3:p:40-44
    DOI: 10.19080/OAJNN.2017.06.555686
    as

    Download full text from publisher

    File URL: https://juniperpublishers.com/oajnn/pdf/OAJNN.MS.ID.555686.pdf
    Download Restriction: no

    File URL: https://juniperpublishers.com/oajnn/OAJNN.MS.ID.555686.php
    Download Restriction: no

    File URL: https://libkey.io/10.19080/OAJNN.2017.06.555686?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Charles E. Chapple & Benoit Robisson & Lionel Spinelli & Céline Guien & Emmanuelle Becker & Christine Brun, 2015. "Extreme multifunctional proteins identified from a human protein interaction network," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
    2. Ruedi Aebersold & Matthias Mann, 2003. "Mass spectrometry-based proteomics," Nature, Nature, vol. 422(6928), pages 198-207, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    2. Alexander Kaever & Manuel Landesfeind & Kirstin Feussner & Burkhard Morgenstern & Ivo Feussner & Peter Meinicke, 2014. "Meta-Analysis of Pathway Enrichment: Combining Independent and Dependent Omics Data Sets," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-12, February.
    3. Dayle L Sampson & Tony J Parker & Zee Upton & Cameron P Hurst, 2011. "A Comparison of Methods for Classifying Clinical Samples Based on Proteomics Data: A Case Study for Statistical and Machine Learning Approaches," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-11, September.
    4. Jiang Tan & Hui-Zhen Fu & Yuh-Shan Ho, 2014. "A bibliometric analysis of research on proteomics in Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1473-1490, February.
    5. Jacques Colinge & Keiryn L Bennett, 2007. "Introduction to Computational Proteomics," PLOS Computational Biology, Public Library of Science, vol. 3(7), pages 1-10, July.
    6. Guler, Arzu Tugce & Waaijer, Cathelijn J.F. & Mohammed, Yassene & Palmblad, Magnus, 2016. "Automating bibliometric analyses using Taverna scientific workflows: A tutorial on integrating Web Services," Journal of Informetrics, Elsevier, vol. 10(3), pages 830-841.
    7. Lei Xin & Rui Qiao & Xin Chen & Hieu Tran & Shengying Pan & Sahar Rabinoviz & Haibo Bian & Xianliang He & Brenton Morse & Baozhen Shan & Ming Li, 2022. "A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    8. Tianhai Tian & Jiangning Song, 2012. "Mathematical Modelling of the MAP Kinase Pathway Using Proteomic Datasets," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-12, August.
    9. Mertens, B.J.A. & van der Burgt, Y.E.M. & Velstra, B. & Mesker, W.E. & Tollenaar, R.A.E.M. & Deelder, A.M., 2011. "On the use of double cross-validation for the combination of proteomic mass spectral data for enhanced diagnosis and prediction," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 759-766, July.
    10. Yun Xu & Wolfgang Schrader, 2021. "Studying the Complexity of Biomass Derived Biofuels," Energies, MDPI, vol. 14(8), pages 1-13, April.
    11. Karsten Suhre & Guhan Ram Venkataraman & Harendra Guturu & Anna Halama & Nisha Stephan & Gaurav Thareja & Hina Sarwath & Khatereh Motamedchaboki & Margaret K. R. Donovan & Asim Siddiqui & Serafim Batz, 2024. "Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    12. Łuksza Marta & Kluge Bogusław & Ostrowski Jerzy & Karczmarski Jakub & Gambin Anna, 2009. "Two-Stage Model-Based Clustering for Liquid Chromatography Mass Spectrometry Data Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-34, February.
    13. Patrick Leopold Rüther & Immanuel Mirnes Husic & Pernille Bangsgaard & Kristian Murphy Gregersen & Pernille Pantmann & Milena Carvalho & Ricardo Miguel Godinho & Lukas Friedl & João Cascalheira & Albe, 2022. "SPIN enables high throughput species identification of archaeological bone by proteomics," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    14. Jinfeng Zou & Guini Hong & Xinwu Guo & Lin Zhang & Chen Yao & Jing Wang & Zheng Guo, 2011. "Reproducible Cancer Biomarker Discovery in SELDI-TOF MS Using Different Pre-Processing Algorithms," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-9, October.
    15. Ling Li & Mingming Niu & Alyssa Erickson & Jie Luo & Kincaid Rowbotham & Kai Guo & He Huang & Yuxin Li & Yi Jiang & Junguk Hur & Chunyu Liu & Junmin Peng & Xusheng Wang, 2022. "SMAP is a pipeline for sample matching in proteogenomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    16. Brar, D.S. & Mackill, D.J. & Hardy, Bill (ed.), 2007. "Rice Genetics V- Proceedings of the Fifth International Rice Genetics Symposium," IRRI Books, International Rice Research Institute (IRRI), number 164486.
    17. Wei Feng & Joanne C. Beer & Qinyu Hao & Ishara S. Ariyapala & Aparna Sahajan & Andrei Komarov & Katie Cha & Mason Moua & Xiaolei Qiu & Xiaomei Xu & Shweta Iyengar & Thu Yoshimura & Rajini Nagaraj & Li, 2023. "NULISA: a proteomic liquid biopsy platform with attomolar sensitivity and high multiplexing," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    18. Kong Ao & Azencott Robert, 2017. "Binary Markov Random Fields and interpretable mass spectra discrimination," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(1), pages 13-30, March.
    19. Hannes L Röst & Uwe Schmitt & Ruedi Aebersold & Lars Malmström, 2015. "Fast and Efficient XML Data Access for Next-Generation Mass Spectrometry," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-11, April.
    20. Benjamin A Shoemaker & Anna R Panchenko, 2007. "Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners," PLOS Computational Biology, Public Library of Science, vol. 3(4), pages 1-7, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adp:joajnn:v:6:y:2017:i:3:p:40-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Robert Thomas (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.