Evidence map›Paper›PMID 35687717›Full record

ArticleACS synthetic biology2022

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

Patrick V Holec, Karen V Camacho, Kathryn C Breuckman, Jody Mou, Michael E Birnbaum

Abstract read
In one paragraph

Article in ACS synthetic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. High-throughput screening for class I peptide MHC binding via yeast surface display.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. A facile yeast-display approach for antibody mask discovery.Protein engineering, design & selection : PEDS · 2025
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Patrick V HolecDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Karen V CamachoDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Kathryn C BreuckmanKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Jody MouHarvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Michael E BirnbaumDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.ORCID 0000-0002-2281-3518

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Paula T Hammond · 1985 to 2026
$93.9M
Development of an emulsion-based method for repertoire-scale paired-chain T cell receptor sequencingR21AI156664 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BIRNBAUM, MICHAEL · 2021 to 2022
$414k
NCI NIH HHS P30 CA014051NIAID NIH HHS R21 AI156664
6 · The paper itself

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.

Indexed as

Protein Sorting SignalsProteomicsSaccharomyces cerevisiaeAmino Acid SequenceBiasPeptide LibraryProteomePeptide LibraryProtein Sorting SignalsProteomeexpression screeningpMHC displaypooled oligo libraryprotein engineeringsignal peptidesyeast surface display

Identifiers

PMID35687717
PMCPMC9473667

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.