ArticleNature communications2017
Towards designer organelles by subverting the peroxisomal import pathway.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- The Promise of Synthetic Biology for Redesigning Plant Architecture.International journal of molecular sciences · 2026Review
- Yeast Stress Response to Synthetic Constructs.ACS synthetic biology · 2026Review
- Efficient gene editing of a model fern species through gametophyte-based transformation.Plant physiology · 2024Article
- Estimating the Interaction Strength Between PTS1-Peptides and Their Receptor PEX5 in Living Cells Using Flow-Cytometer-Based FRET (flowFRET) Measurements.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Studying the interaction between PEX5 and its full-length cargo proteins in living cells by a novel Försteŕs resonance energy transfer-based competition assay.Frontiers in cell and developmental biology · 2022Article
- Article
- Peroxisome prognostications: Exploring the birth, life, and death of an organelle.The Journal of cell biology · 2020Review
- Engineering of Metabolic Pathways Using Synthetic Enzyme Complexes.Plant physiology · 2019Review
- Rosetta FunFolDes - A general framework for the computational design of functional proteins.PLoS computational biology · 2018Article
- Physcomitrella patens, a versatile synthetic biology chassis.Plant cell reports · 2018Review
- Prokaryotic nanocompartments form synthetic organelles in a eukaryote.Nature communications · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The development of 'designer' organelles could be a key strategy to enable foreign pathways to be efficiently controlled within eukaryotic biotechnology. A fundamental component of any such system will be the implementation of a bespoke protein import pathway that can selectively deliver constituent proteins to the new compartment in the presence of existing endogenous trafficking systems. Here we show that the protein-protein interactions that control the peroxisomal protein import pathway can be manipulated to create a pair of interacting partners that still support protein import in moss cells, but are orthogonal to the naturally occurring pathways. In addition to providing a valuable experimental tool to give new insights into peroxisomal protein import, the variant receptor-signal sequence pair forms the basis of a system in which normal peroxisomal function is downregulated and replaced with an alternative pathway, an essential first step in the creation of a designer organelle.Designer organelles could allow the isolation of synthetic biological pathways from endogenous components of the host cell. Here the authors engineer a peroxisomal protein import pathway orthogonal to the naturally occurring system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.