Literature DB >> 35687717

Proteome-Scale Screening to Identify High-Expression Signal Peptides with Minimal N-Terminus Biases via Yeast Display.

Patrick V Holec1,2, Karen V Camacho1,2, Kathryn C Breuckman2, Jody Mou3, Michael E Birnbaum1,2,4.   

Abstract

Signal peptides are critical for the efficient expression and routing of extracellular and secreted proteins. Most protein production and screening technologies rely upon a relatively small set of signal peptides. Despite their central role in biotechnology, there are limited studies comprehensively examining the interplay between signal peptides and expressed protein sequences. Here, we describe a high-throughput method to screen novel signal peptides that maintain a high degree of surface expression across a range of protein scaffolds with highly variable N-termini. We find that the canonical signal peptide used in yeast surface display, derived from Aga2p, fails to achieve high surface expression for 42.5% of constructs containing diverse N-termini. To circumvent this, we have identified two novel signal peptides derived from endogenous yeast proteins, SRL1 and KISH, which are highly tolerant to diverse N-terminal sequences. This pipeline can be used to expand our understanding of signal peptide function, identify improved signal peptides for protein expression, and refine the computational tools used for signal peptide prediction.

Entities:  

Keywords:  expression screening; pMHC display; pooled oligo library; protein engineering; signal peptides; yeast surface display

Mesh:

Substances:

Year:  2022        PMID: 35687717      PMCID: PMC9473667          DOI: 10.1021/acssynbio.2c00101

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.249


  45 in total

1.  SignalP 5.0 improves signal peptide predictions using deep neural networks.

Authors:  José Juan Almagro Armenteros; Konstantinos D Tsirigos; Casper Kaae Sønderby; Thomas Nordahl Petersen; Ole Winther; Søren Brunak; Gunnar von Heijne; Henrik Nielsen
Journal:  Nat Biotechnol       Date:  2019-02-18       Impact factor: 54.908

2.  Systematic Screening of Optimal Signal Peptides for Secretory Production of Heterologous Proteins in Bacillus subtilis.

Authors:  Gang Fu; Jinlan Liu; Jinshan Li; Beiwei Zhu; Dawei Zhang
Journal:  J Agric Food Chem       Date:  2018-12-07       Impact factor: 5.279

3.  DeepSig: deep learning improves signal peptide detection in proteins.

Authors:  Castrense Savojardo; Pier Luigi Martelli; Piero Fariselli; Rita Casadio
Journal:  Bioinformatics       Date:  2018-05-15       Impact factor: 6.937

4.  Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding.

Authors:  Tyler N Starr; Allison J Greaney; Sarah K Hilton; Daniel Ellis; Katharine H D Crawford; Adam S Dingens; Mary Jane Navarro; John E Bowen; M Alejandra Tortorici; Alexandra C Walls; Neil P King; David Veesler; Jesse D Bloom
Journal:  Cell       Date:  2020-08-11       Impact factor: 41.582

5.  UniProt: the universal protein knowledgebase in 2021.

Authors: 
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

6.  Flanking signal and mature peptide residues influence signal peptide cleavage.

Authors:  Khar Heng Choo; Shoba Ranganathan
Journal:  BMC Bioinformatics       Date:  2008-12-12       Impact factor: 3.169

7.  Isolation of a Structural Mechanism for Uncoupling T Cell Receptor Signaling from Peptide-MHC Binding.

Authors:  Leah V Sibener; Ricardo A Fernandes; Elizabeth M Kolawole; Catherine B Carbone; Fan Liu; Darren McAffee; Michael E Birnbaum; Xinbo Yang; Laura F Su; Wong Yu; Shen Dong; Marvin H Gee; Kevin M Jude; Mark M Davis; Jay T Groves; William A Goddard; James R Heath; Brian D Evavold; Ronald D Vale; K Christopher Garcia
Journal:  Cell       Date:  2018-07-26       Impact factor: 41.582

8.  Identification of the immunodominant peptides of the MART-1 human melanoma antigen recognized by the majority of HLA-A2-restricted tumor infiltrating lymphocytes.

Authors:  Y Kawakami; S Eliyahu; K Sakaguchi; P F Robbins; L Rivoltini; J R Yannelli; E Appella; S A Rosenberg
Journal:  J Exp Med       Date:  1994-07-01       Impact factor: 14.307

9.  Advantages of combined transmembrane topology and signal peptide prediction--the Phobius web server.

Authors:  Lukas Käll; Anders Krogh; Erik L L Sonnhammer
Journal:  Nucleic Acids Res       Date:  2007-05-05       Impact factor: 16.971

Review 10.  Yeast surface display for protein engineering and characterization.

Authors:  S Annie Gai; K Dane Wittrup
Journal:  Curr Opin Struct Biol       Date:  2007-09-17       Impact factor: 6.809

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