Evidence map›Paper›PMID 28824573›Full record

ArticleFrontiers in microbiology2017

Engineering the Bacterial Microcompartment Domain for Molecular Scaffolding Applications.

Eric J Young, Rodney Burton, Jyoti P Mahalik, Bobby G Sumpter, Miguel Fuentes-Cabrera, Cheryl A Kerfeld, Daniel C Ducat

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. A Generative Neuro-Symbolic AI for Protein Sequence Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

7 authors.

Eric J YoungBiochemistry and Molecular Biology, Michigan State University, East LansingMI, United States.
Rodney BurtonMSU-DOE Plant Research Laboratory, East LansingMI, United States.
Jyoti P MahalikComputational Sciences and Engineering, Oak Ridge National Laboratory, Oak RidgeTN, United States.
Bobby G SumpterComputational Sciences and Engineering, Oak Ridge National Laboratory, Oak RidgeTN, United States.
Miguel Fuentes-CabreraComputational Sciences and Engineering, Oak Ridge National Laboratory, Oak RidgeTN, United States.
Cheryl A KerfeldBiochemistry and Molecular Biology, Michigan State University, East LansingMI, United States.
Daniel C DucatBiochemistry and Molecular Biology, Michigan State University, East LansingMI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As synthetic biology advances the intricacy of engineered biological systems, the importance of spatial organization within the cellular environment must not be marginalized. Increasingly, biological engineers are investigating means to control spatial organization within the cell, mimicking strategies used by natural pathways to increase flux and reduce cross-talk. A modular platform for constructing a diverse set of defined, programmable architectures would greatly assist in improving yields from introduced metabolic pathways and increasing insulation of other heterologous systems. Here, we review recent research on the shell proteins of bacterial microcompartments and discuss their potential application as "building blocks" for a range of customized intracellular scaffolds. We summarize the state of knowledge on the self-assembly of BMC shell proteins and discuss future avenues of research that will be important to realize the potential of BMC shell proteins as predictively assembling and programmable biological materials for bioengineering.

Indexed as

bacterial microcompartmentBMCmetabolic engineeringscaffoldself-assemblyshell proteinsspatial organizationsynthetic biology

Identifiers

PMID28824573
PMCPMC5534457

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.