Data on multiple post-translational modifications in Alzheimer's disease
DOI:
https://doi.org/10.31117/neuroscirn.v5i2.153Keywords:
Post-translational modification, Alzheimer’s disease, multi-OMICS, proteomics, PTM biology, bioinformaticsAbstract
This article describes the data obtained for global post-translational modifications (PTMs) profiled for Alzheimer's Disease (AD) from two distinct human brain regions and one cerebrospinal fluid (CSF) sample. The PTM profiling was performed to identify phosphorylation, O-GluNAcetylation, methylation, acetylation and citrullination using three publicly available LC-MS/MS raw data sets (PRIDE ID: PXD004010, PXD002516, PXD004863). A total of 1,857 PTM harbouring proteins with 4,961 unique post-translationally modified peptides were identified. Among the modified peptides, 75 corresponded uniquely to proteins identified from CSF samples. The data is related to the research article "Dissecting Alzheimer's disease molecular substrates by proteomics and discovery of novel post-translational modifications (PTMs)".
References
References
Adav, S. S., Gallart-Palau, X., Tan, K. H., Lim, S. K., Tam, J. P., & Sze, S. K. (2016). Dementia-linked amyloidosis is associated with brain protein deamidation as revealed by proteomic profiling of human brain tissues. Molecular Brain, 9, 20. https://doi.org/10.1186/s13041-016-0200-z
Deolankar, S. C., Patil, A. H., Koyangana, S. G., Subbannayya, Y., Prasad, T. S. K., & Modi, P. K. (2019). Dissecting Alzheimer's Disease Molecular Substrates by Proteomics and Discovery of Novel Post-translational Modifications. OMICS, 23(7), 350-361. https://doi.org/10.1089/omi.2019.0085
Hansson, K. T., Skillback, T., Pernevik, E., Kern, S., Portelius, E., Hoglund, K., . . . Gobom, J. (2017). Expanding the cerebrospinal fluid endopeptidome. Proteomics, 17(5), 1600384. https://doi.org/10.1002/pmic.201600384
Kanehisa, M., & Goto, S. (2000). KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Research, 28(1), 27-30. https://doi.org/10.1093/nar/28.1.27
Li, Y., Wang, X., Cho, J. H., Shaw, T. I., Wu, Z., Bai, B., . . . Peng, J. (2016). JUMPg: An Integrative Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells. Journal of Proteome Research, 15(7), 2309-2320. https://doi.org/10.1021/acs.jproteome.6b00344
Patil, A. H., Datta, K. K., Behera, S. K., Kasaragod, S., Pinto, S. M., Koyangana, S. G., . . . Prasad, T. S. K. (2018). Dissecting Candida Pathobiology: Post-Translational Modifications on the Candida tropicalis Proteome. OMICS, 22(8), 544-552. https://doi.org/10.1089/omi.2018.0093
Szklarczyk, D., Gable, A. L., Lyon, D., Junge, A., Wyder, S., Huerta-Cepas, J., . . . Mering, C. V. (2019). STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Research, 47(D1), D607-D613. https://doi.org/10.1093/nar/gky1131
Downloads
Additional Files
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2022 Sayali Chandrashekhar Deolankar, Shashanka G Koyangana, Arun H Patil, Yashwanth Subbannayya, Prashant Kumar Modi, T S Keshava Prasad

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The observations and associated materials published or posted by NeurosciRN are licensed by the authors for use and distribution in accord with the Creative Commons Attribution license CC BY-NC 4.0 international, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.