Evidence map›Paper›PMID 39455227›Full record

ArticleMethods in enzymology2024

The MitoLuc assay for the analysis of the mechanism of mitochondrial protein import.

Hope I Needs, Youmian Yan, Natalie M Niemi, Ian Collinson

Abstract read
In one paragraph

Article in Methods in enzymology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Hope I NeedsSchool of Biochemistry, University of Bristol, Bristol, United Kingdom.
Youmian YanDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, United States.
Natalie M NiemiDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, United States. Electronic address: niemi@wustl.edu.
Ian CollinsonSchool of Biochemistry, University of Bristol, Bristol, United Kingdom. Electronic address: ian.collinson@bristol.ac.uk.

Funding

Delineating phosphorylation-mediated regulation of mitochondrial functionR35GM151130 · NIGMS · WASHINGTON UNIVERSITY · PI Natalie Niemi · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM151130Wellcome TrustWellcome Trust 083474Wellcome Trust 104632/Z/14/Z
6 · The paper itself

Abstract

The NanoLuc split luciferase assay has proven to be a powerful tool for the analysis of protein translocation. Its flexibility has enabled in vivo, ex vivo, and in vitro studies-including systems reconstituting protein transport from pure components. The assay has been particularly useful in the characterization of bacterial secretion and mitochondrial protein import. In the latter case, MitoLuc has been developed for the investigation of the TIM23-pathway via import into the matrix of isolated yeast mitochondria. Subsequent analysis identified three distinct phases of import, rather than in a single continuous step. The assay has also been developed to monitor import into the mitochondrial matrix of intact cultured cells. This latter innovation has laid the foundations for further analysis of the import process in humans, including the consequences of interactions with cytosolic factors and neighboring organelles. The versatility of the MitoLuc assay is conducive for its adaptation to also monitor import into the inter-membrane space (MIA-pathway), and into the inner-membrane via the TIM22- and TIM23-complexes. Here, we present detailed protocols for the application of MitoLuc to mitochondria isolated from yeast and to those within cultured human cells.

Indexed as

LuciferasesMitochondriaMitochondrial ProteinsCells, CulturedHumansProtein TransportSaccharomyces cerevisiaeLuciferasesMitochondrial ProteinsCell cultureLuciferaseMitochondrial biogenesisMitochondrial protein importMitoLuc assayNanoLucProtein translocationYeast

Identifiers

PMID39455227
PMCPMC11756599

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Registered trials

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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.