Araştırma Makalesi

Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis

Cilt: 11 Sayı: 2 31 Aralık 2021
PDF İndir
TR EN

Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis

Öz

Alzheimer’s Disease (AD) is a progressive neurodegenerative disease and pathologically characterized by the presence of neurofibrillary tangles (tau aggregation) and amyloid plaques (amyloid-beta (A𝛽) aggregation). PSEN1 protein with 9 transmembrane helices acts as aspartyl protease and is one of the catalytic components of γ secretase complex, that cleaves amyloid precursor protein (APP). Furthermore, PSEN1 protein plays a significant role in the process of APP and in the generation of amyloid beta (Aβ). In the present study, it was aimed to estimate the probable deleterious effects of missense SNPs in PSEN1 gene that is associated with AD on protein stability and structure by using bioinformatics tools. SIFT, PolyPhen-2, PROVEAN, PhD-SNP, and PANTHER PSEP software were used to estimate the deleterious SNPs, whereas I-Mutant 3.0 and MUpro web tools were used to determine the effects of amino acid substitution on protein stability. Additionally, the effects of wild type and mutant amino acids on protein three-dimensional structure via modeling were predicted by Project HOPE webserver. The phylogenetic conservation of amino acid residues of PSEN1 protein was analyzed by ConSurf. In total, 386 missense SNPs were found in the human PSEN1 gene from the National Center for Biotechnology Information Single Nucleotide Polymorphism (NCBI dbSNP) database and 65 SNPs of which were determined to be deleterious or damaging. In the present study, 8 significant missense SNPs- rs63749891 (R278T), rs63750301 (P264L), rs63750353 (N135D), rs63750524 (R278S), rs63750772 (E273A), rs63751229 (P267S), rs121917807 (G266S), and rs201617677 (R157S)- were determined as high-risk pathogenic. Some differences between wild-type amino acids and mutant amino acids such as hydrophobicity, charge, size, and folding properties were determined according to the modeling findings. Our study demonstrates that high-risk pathogenic missense SNPs have the potential to alter the catalytic activity of the γ secretase complex and subsequently the amount of Aβ40 and Aβ42. Therefore, these missense SNPs may contribute to AD pathogenesis studies.

Anahtar Kelimeler

Destekleyen Kurum

None

Kaynakça

  1. [1] Reitz, C., Genetic diagnosis and prognosis of Alzheimer’s disease: challenges and opportunities, Expert Review of Molecular Diagnostics, 15 (3), 339-348, 2015.
  2. [2] Liu, Z., Li, T., Li, P., et al., The ambiguous relationship of oxidative stress, tau hyperphosphorylation, and autophagy dysfunction in Alzheimer’s disease, Oxidative Medicine and Cellular Longevity, 2015, 352723, 2015.
  3. [3] Goldman, J.S., Deerlin, V.M., Alzheimer’s disease and frontotemporal dementia: the current state of genetics and genetic testing since the advent of next generation sequencing, Molecular Diagnosis & Therapy, 22 (5), 505-513, 2018.
  4. [4] Bagyinszky, E., Lee, H.M., Giau, V.V., et al., PSEN1 p.Thr116Ile variant in two korean families with young onset Alzheimer’s disease, International Journal of Molecular Sciences, 19 (9), 2604, 2018.
  5. [5] Sproul, A.A., Jacob, S., Pre, D., et al., Characterization and molecular profiling of PSEN1 familial Alzheimer’s disease iPSC-derived neural progenitors, PLoS One, 9 (1), e84547, 2014.
  6. [6] Ramirez-Bello, J., Jimenez-Morales, M., Functional implications of single nucleotide polymorphisms (SNPs) in protein-coding and non-coding RNA genes in multifactorial diseases, Gaceta medica de Mexico, 153 (2), 238-250, 2017.
  7. [7] Jamal, S., Goyal, S., Shanker, A., Grover, A., Computational screening and exploration of disease-associated genes in Alzheimer’s disease, Journal of Cellular Biochemistry, 118(6), 1471-1479, 2016.
  8. [8] Montojo, J., Zuberi, K., Rodriguez, H., Bader, G.D., Morris, Q., GeneMANIA: Fast gene network construction and function prediction for Cytoscape [v1]; ref status: indexed, http://f1000r.es/3rv], F1000Research, 3 (153), 2014.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapısal Biyoloji

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Aralık 2021

Gönderilme Tarihi

22 Şubat 2021

Kabul Tarihi

12 Ekim 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 11 Sayı: 2

Kaynak Göster

APA
Avşar, O. (2021). Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis. Adıyaman University Journal of Science, 11(2), 321-349. https://doi.org/10.37094/adyujsci.884889
AMA
1.Avşar O. Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis. ADYU J SCI. 2021;11(2):321-349. doi:10.37094/adyujsci.884889
Chicago
Avşar, Orçun. 2021. “Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis”. Adıyaman University Journal of Science 11 (2): 321-49. https://doi.org/10.37094/adyujsci.884889.
EndNote
Avşar O (01 Aralık 2021) Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis. Adıyaman University Journal of Science 11 2 321–349.
IEEE
[1]O. Avşar, “Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis”, ADYU J SCI, c. 11, sy 2, ss. 321–349, Ara. 2021, doi: 10.37094/adyujsci.884889.
ISNAD
Avşar, Orçun. “Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis”. Adıyaman University Journal of Science 11/2 (01 Aralık 2021): 321-349. https://doi.org/10.37094/adyujsci.884889.
JAMA
1.Avşar O. Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis. ADYU J SCI. 2021;11:321–349.
MLA
Avşar, Orçun. “Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis”. Adıyaman University Journal of Science, c. 11, sy 2, Aralık 2021, ss. 321-49, doi:10.37094/adyujsci.884889.
Vancouver
1.Orçun Avşar. Identification of Damaging SNPs and Their Effects on Alzheimer’s Disease-Associated PSEN1 Protein: Computational Analysis. ADYU J SCI. 01 Aralık 2021;11(2):321-49. doi:10.37094/adyujsci.884889