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Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates

BACE1, a membrane-bound aspartyl protease that is implicated in Alzheimer’s disease, is the first protease to cut the amyloid precursor protein resulting in the generation of amyloid-β and its aggregation to form senile plaques, a hallmark feature of the disease. Few other native BACE1 substrates ha...

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Detalles Bibliográficos
Autores principales: Johnson, Joseph L, Chambers, Emily, Jayasundera, Keerthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147752/
https://www.ncbi.nlm.nih.gov/pubmed/25288897
http://dx.doi.org/10.4137/BECB.S8383
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author Johnson, Joseph L
Chambers, Emily
Jayasundera, Keerthi
author_facet Johnson, Joseph L
Chambers, Emily
Jayasundera, Keerthi
author_sort Johnson, Joseph L
collection PubMed
description BACE1, a membrane-bound aspartyl protease that is implicated in Alzheimer’s disease, is the first protease to cut the amyloid precursor protein resulting in the generation of amyloid-β and its aggregation to form senile plaques, a hallmark feature of the disease. Few other native BACE1 substrates have been identified despite its relatively loose substrate specificity. We report a bioinformatics approach identifying several putative BACE1 substrates. Using our algorithm, we successfully predicted the cleavage sites for 70% of known BACE1 substrates and further validated our algorithm output against substrates identified in a recent BACE1 proteomics study that also showed a 70% success rate. Having validated our approach with known substrates, we report putative cleavage recognition sequences within 962 proteins, which can be explored using in vivo methods. Approximately 900 of these proteins have not been identified or implicated as BACE1 substrates. Gene ontology cluster analysis of the putative substrates identified enrichment in proteins involved in immune system processes and in cell surface protein-protein interactions.
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spelling pubmed-41477522014-10-06 Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates Johnson, Joseph L Chambers, Emily Jayasundera, Keerthi Biomed Eng Comput Biol Original Research BACE1, a membrane-bound aspartyl protease that is implicated in Alzheimer’s disease, is the first protease to cut the amyloid precursor protein resulting in the generation of amyloid-β and its aggregation to form senile plaques, a hallmark feature of the disease. Few other native BACE1 substrates have been identified despite its relatively loose substrate specificity. We report a bioinformatics approach identifying several putative BACE1 substrates. Using our algorithm, we successfully predicted the cleavage sites for 70% of known BACE1 substrates and further validated our algorithm output against substrates identified in a recent BACE1 proteomics study that also showed a 70% success rate. Having validated our approach with known substrates, we report putative cleavage recognition sequences within 962 proteins, which can be explored using in vivo methods. Approximately 900 of these proteins have not been identified or implicated as BACE1 substrates. Gene ontology cluster analysis of the putative substrates identified enrichment in proteins involved in immune system processes and in cell surface protein-protein interactions. Libertas Academica 2013-02-03 /pmc/articles/PMC4147752/ /pubmed/25288897 http://dx.doi.org/10.4137/BECB.S8383 Text en © 2013 the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article published under the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Original Research
Johnson, Joseph L
Chambers, Emily
Jayasundera, Keerthi
Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates
title Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates
title_full Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates
title_fullStr Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates
title_full_unstemmed Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates
title_short Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates
title_sort application of a bioinformatics-based approach to identify novel putative in vivo bace1 substrates
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147752/
https://www.ncbi.nlm.nih.gov/pubmed/25288897
http://dx.doi.org/10.4137/BECB.S8383
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