Academic Journal

Signal Peptide Efficiency: From High-Throughput Data to Prediction and Explanation

التفاصيل البيبلوغرافية
العنوان: Signal Peptide Efficiency: From High-Throughput Data to Prediction and Explanation
المؤلفون: Grasso, Stefano, Dabene, Valentina, Hendriks, Margriet M.W.B., Zwartjens, Priscilla, Pellaux, René, Held, Martin, Panke, Sven, id_orcid:0 000-0002-9368-539X, Van Dijl, Jan Maarten, Meyer, Andreas, van Rij, Tjeerd
المصدر: ACS Synthetic Biology, 12 (2)
بيانات النشر: American Chemical Society
سنة النشر: 2023
المجموعة: ETH Zürich Research Collection
مصطلحات موضوعية: signal peptide, protein secretion, amylase, Bacillus subtilis, nanoliter reactors, secretion efficiency
الوصف: The passage of proteins across biological mem-branes via the general secretory (Sec) pathway is a universally conserved process with critical functions in cell physiology and important industrial applications. Proteins are directed into the Sec pathway by a signal peptide at their N-terminus. Estimating the impact of physicochemical signal peptide features on protein secretion levels has not been achieved so far, partially due to the extreme sequence variability of signal peptides. To elucidate relevant features of the signal peptide sequence that influence secretion efficiency, an evaluation of similar to 12,000 different designed signal peptides was performed using a novel miniaturized high-throughput assay. The results were used to train a machine learning model, and a post-hoc explanation of the model is provided. By describing each signal peptide with a selection of 156 physicochemical features, it is now possible to both quantify feature importance and predict the protein secretion levels directed by each signal peptide. Our analyses allow the detection and explanation of the relevant signal peptide features influencing the efficiency of protein secretion, generating a versatile tool for the de novo design and in silico evaluation of signal peptides. ; ISSN:2161-5063
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/application/pdf
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/wos/000921930200001; http://hdl.handle.net/20.500.11850/599325
DOI: 10.3929/ethz-b-000599325
الاتاحة: https://hdl.handle.net/20.500.11850/599325
https://doi.org/10.3929/ethz-b-000599325
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ ; Creative Commons Attribution 4.0 International
رقم الانضمام: edsbas.FBE4436C
قاعدة البيانات: BASE
الوصف
DOI:10.3929/ethz-b-000599325