Evidence map›Paper›PMID 33705938›Full record

ReviewNeurobiology of disease2021

Single molecule imaging of protein aggregation in Dementia: Methods, insights and prospects.

John S H Danial, David Klenerman

Open access · goldAbstract readReview
In one paragraph

Review in Neurobiology of disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Small-diffusible aggregates, plaques, tangles, and dynamic equilibria: Untangling Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  4. Article
  5. Lecanemab preferentially binds to smaller aggregates present at early Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  6. Article
  7. 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

2 authors at 2 institutions in 1 country.

John S H DanialYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom; UK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom. Electronic address: js2494@cam.ac.uk.
David KlenermanYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom; UK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom. Electronic address: dk10012@cam.ac.uk.
UK Dementia Research Institute · GBUniversity of Cambridge · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

The aggregation of misfolded proteins is a fundamental pathology in neurodegeneration which remains poorly understood due to its exceptional complexity and lack of appropriate characterization tools that can probe the role of the low concentrations of heterogeneous protein aggregates formed during the progression of the disease. In this review, we explain the principles underlying the operation of single molecule microscopy, an imaging method that can resolve molecules one-by-one, its application to imaging and characterizing individual protein aggregates in human samples and in vitro as well as the important questions in neurobiology this has answered and can answer.

Indexed as

DementiaHumansIn Vitro TechniquesNeurodegenerative DiseasesProtein AggregatesProtein Aggregation, PathologicalSingle Molecule ImagingProtein AggregatesProtein aggregationSingle molecule microscopy

Identifiers

PMID33705938
PMCPMC8039184
OpenAlexW3134542907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.