Evidence map›Paper›PMID 38079116›Full record

ReviewBiotechnology and bioengineering2024

Leveraging yeast sequestration to study and engineer posttranslational modification enzymes.

Samantha G Martinusen, Carl A Denard

Abstract readReview
In one paragraph

Review in Biotechnology and bioengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

2 authors.

Samantha G MartinusenDepartment of Chemical Engineering, University of Florida, Gainesville, Florida, USA.
Carl A DenardDepartment of Chemical Engineering, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-2804-9426

Funding

Reprogramming proteases: tackling human diseases with next-generation modulatorsR35GM146821 · NIGMS · UNIVERSITY OF FLORIDA · PI Carl Denard · 2022 to 2026
$1.6M
Machine Learning-Guided Engineering of Protease ModulatorsR21GM144812 · NIGMS · UNIVERSITY OF FLORIDA · PI DENARD, CARL · 2022 to 2022
$219k
NIGMS NIH HHS R21 GM144812NIGMS NIH HHS R35 GM146821NIH HHS R21GM144812NIH HHS R35GM146821
6 · The paper itself

Abstract

Enzymes that catalyze posttranslational modifications (PTMs) of peptides and proteins (PTM-enzymes)-proteases, protein ligases, oxidoreductases, kinases, and other transferases-are foundational to our understanding of health and disease and empower applications in chemical biology, synthetic biology, and biomedicine. To fully harness the potential of PTM-enzymes, there is a critical need to decipher their enzymatic and biological mechanisms, develop molecules that can probe and modulate them, and endow them with improved and novel functions. These objectives are contingent upon implementation of high-throughput functional screens and selections that interrogate large sequence libraries to isolate desired PTM-enzyme properties. This review discusses the principles of Saccharomyces cerevisiae organelle sequestration to study and engineer PTM-enzymes. These include outer membrane sequestration, specifically methods that modify yeast surface display, and cytoplasmic sequestration based on enzyme-mediated transcription activation. Furthermore, we present a detailed discussion of yeast endoplasmic reticulum sequestration for the first time. Where appropriate, we highlight the major features and limitations of different systems, specifically how they can measure and control enzyme catalytic efficiencies. Taken together, yeast-based high-throughput sequestration approaches significantly lower the barrier to understanding how PTM-enzymes function and how to reprogram them.

Indexed as

Protein Processing, Post-TranslationalSaccharomyces cerevisiaeEndopeptidasesPeptidesProteinsEndopeptidasesPeptidesProteinsendoplasmic reticulum sequestrationproteasePTM-enzymesortaseyeast surface display

Identifiers

PMID38079116
PMCPMC11229454

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.