ArticleScientific reports2016
Rapid flow cytometric measurement of protein inclusions and nuclear trafficking.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- The alternative androgen receptor isoform A mitigates toxicity of polyglutamine-elongated mutant androgen receptor in spinal and bulbar muscular atrophy.Journal of advanced research · 2026Article
- Impairment of lysosomal quality control in Huntington disease.Cell death & disease · 2025Article
- Exploiting flow cytometry for the unbiased quantification of protein inclusions in Caenorhabditis elegans.Journal of neurochemistry · 2022Article
- Most myopathic lamin variants aggregate: a functional genomics approach for assessing variants of uncertain significance.NPJ genomic medicine · 2021Article
- Flow cytometry allows rapid detection of protein aggregates in cellular and zebrafish models of spinocerebellar ataxia 3.Disease models & mechanisms · 2021Article
- Article
- Unbiased Label-Free Quantitative Proteomics of Cells Expressing Amyotrophic Lateral Sclerosis (ALS) Mutations inFrontiers in molecular neuroscience · 2021Article
- Amyotrophic Lateral Sclerosis: Proteins, Proteostasis, Prions, and Promises.Frontiers in cellular neuroscience · 2020Article
- Application of CRISPR genetic screens to investigate neurological diseases.Molecular neurodegeneration · 2019Review
- Small heat shock proteins: multifaceted proteins with important implications for life.Cell stress & chaperones · 2019Article
- Proteomics Approaches for Biomarker and Drug Target Discovery in ALS and FTD.Frontiers in neuroscience · 2019Review
- Flow Cytometric Detection of PrPJournal of virology · 2018Article
- Clusterin protects neurons against intracellular proteotoxicity.Acta neuropathologica communications · 2017Article
- Addition of exogenous SOD1 aggregates causes TDP-43 mislocalisation and aggregation.Cell stress & chaperones · 2017Article
- Article
- Susceptibility of Mutant SOD1 to Form a Destabilized Monomer Predicts Cellular Aggregation and Toxicity but NotFrontiers in neuroscience · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteinaceous cytoplasmic inclusions are an indicator of dysfunction in normal cellular proteostasis and a hallmark of many neurodegenerative diseases. We describe a simple and rapid new flow cytometry-based method to enumerate, characterise and, if desired, physically recover protein inclusions from cells. This technique can analyse and resolve a broad variety of inclusions differing in both size and protein composition, making it applicable to essentially any model of intracellular protein aggregation. The method also allows rapid quantification of the nuclear trafficking of fluorescently labelled molecules.
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.