Evidence map›Paper›PMID 34080159›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Single-Cell Approaches for Studying the Role of Mitochondrial DNA in Neurodegenerative Disease.

Laura J Bailey, Joanna L Elson, Ilse S Pienaar

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 1 country.

Laura J BaileyGenome Damage and Stability Centre, School of Life Sciences, University of Sussex, Falmer, UK.
Joanna L ElsonInstitute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Ilse S PienaarGenome Damage and Stability Centre, School of Life Sciences, University of Sussex, Falmer, UK. I.S.Pienaar@sussex.ac.uk.
University of Sussex · GBNewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In light of accumulating evidence suggestive of cell type-specific vulnerabilities as a result of normal aging processes that adversely affect the brain, as well as age-related neurodegenerative disorders such as Parkinson's disease (PD), the current chapter highlights how we study mitochondrial DNA (mtDNA) changes at a single-cell level. In particular, we comment on increasing questioning of the narrow neurocentric view of such pathologies, where microglia and astrocytes have traditionally been considered bystanders rather than players in related pathological processes. Here we review the contribution made by single-cell mtDNA alterations towards neuronal vulnerability seen in neurodegenerative disorders, focusing on PD as a prominent example. In addition, we give an overview of methodologies that support such experimental investigations. In considering the significant advances that have been made in recent times for developing mitochondria-specific therapies, investigations to account for cell type-specific mitochondrial patterns and how these are altered by disease hold promise for delivering more effective disease-modifying therapeutics.

Indexed as

AgingBrainDNA, MitochondrialHumansNeurodegenerative DiseasesParkinson DiseasePolymerase Chain ReactionSingle-Cell AnalysisDNA, MitochondrialAge-related disordersCell specificityMitochondriaMitochondrial DNANeurodegenerationParkinson’s diseaseSingle-cell analyses

Identifiers

PMID34080159
OpenAlexW3164234228

What OpenQuestion holds

Textmetadata
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.