Evidence map›Paper›PMID 40163328›Full record

ArticleACS nano2025

Carboxysome Shell Protein CcmK2 Assembles into Monodisperse and pH-Reversible Microparticles.

Claudia A Mak, Vincent Chriscoli, Vinson Lam, Jing Yang, Lu-Ning Liu, Anthony G Vecchiarelli

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Claudia A MakDepartment of Biological Chemistry, University of Michigan Medicine, Ann Arbor, Michigan 48109, United States.
Vincent ChriscoliInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom.
Vinson LamLife Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109, United States.
Jing YangInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom.
Lu-Ning LiuInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom.
Anthony G VecchiarelliDepartment of Biological Chemistry, University of Michigan Medicine, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-6198-3245

Funding

Coordinated Spatial Organization in BacteriaR35GM152128 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Anthony G Vecchiarelli · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM152128
6 · The paper itself

Abstract

Synthetic nano- and microparticles have become essential tools in biotechnology. Protein-based compartments offer distinct advantages over synthetic particles, such as biodegradability and biocompatibility, but their development is still in its infancy. Bacterial microcompartments (BMCs) are protein-based organelles consisting of a protein shell encapsulating an enzymatic core. BMCs are self-assembling, selectively permeable, and modular, making them ideal candidates for the development of protein compartments for biotechnology. Indeed, several groups have engineered BMC shells and individual shell proteins into synthetic nanoreactors and functionalized molecular scaffolds. Expanding the variety of architectures assembled from BMC shell proteins will increase their versatility as building blocks in biotechnology. Here, we developed a method for the

Indexed as

Bacterial ProteinsHydrogen-Ion ConcentrationParticle SizeBacterial ProteinsBacterial microcompartmentcarboxysomemicroparticlenanoparticlepH-responsiveself-assembly

Identifiers

PMID40163328
PMCPMC12004938

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.