Evidence map›Paper›PMID 36952191›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Generation of Reporter Cell Lines for Endogenous Expression Analysis of Peroxisomal Proteins.

Beatriz S C Silva, Tina A Schrader, Michael Schrader, Ruth E Carmichael

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Beatriz S C SilvaFaculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, UK.
Tina A SchraderFaculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, UK.
Michael SchraderFaculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, UK. m.schrader@exeter.ac.uk.
Ruth E CarmichaelFaculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, UK. r.carmichael@exeter.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/N01541X/1Biotechnology and Biological Sciences Research Council BB/R016844/1Biotechnology and Biological Sciences Research Council BB/T002255/1
6 · The paper itself

Abstract

Peroxisomes are multifunctional, ubiquitous, and dynamic organelles. They are responsible for diverse metabolic and physiological functions and communicate with other organelles, including the ER, mitochondria, lipid droplets, and lysosomes, through membrane contact sites. However, despite their importance for healthy cell function, remarkably, little is known about how peroxisomes and peroxisomal proteins are regulated under physiological conditions in human cells. Here, we present a method to generate reporter cell lines to measure endogenous expression of peroxisomal proteins of interest. By CRISPR-mediated knock-in of an easily detectable protein-coding tag in-frame into the relevant genomic loci, endogenous levels of the protein of interest in a cell population can be quantified in a high-throughput manner under different conditions. This has important implications for the fundamental understanding of how peroxisomal proteins are regulated and may reveal the therapeutic potential of modulating peroxisomal protein expression to improve cell performance.

Indexed as

Membrane ProteinsMitochondriaCell LineHumansMitochondrial MembranesPeroxisomesMembrane ProteinsCRIS-PITChEndogenous taggingGenome editingHigh-throughput analysisNanoLucPeroxisomeReporter cell line

Identifiers

What OpenQuestion holds

Textmetadata
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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.