Evidence map›Paper›PMID 31972157›Full record

ArticleBiophysical journal2020

Correction of Systematic Bias in Single Molecule Photobleaching Measurements.

Simli Dey, Anirban Das, Sudipta Maiti

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Illuminating amyloid fibrils: Fluorescence-based single-molecule approaches.Computational and structural biotechnology journal · 2021
    Review
  4. Article
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 1 institution in 1 country.

Simli DeyDepartment of Chemical Sciences, Tata Institute of Fundamental Research, Mumbai, Maharashtra, India.
Anirban DasDepartment of Chemical Sciences, Tata Institute of Fundamental Research, Mumbai, Maharashtra, India.
Sudipta MaitiDepartment of Chemical Sciences, Tata Institute of Fundamental Research, Mumbai, Maharashtra, India. Electronic address: maiti@tifr.res.in.
Tata Institute of Fundamental Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single molecule photobleaching is a powerful technique to measure the number of fluorescent units in subresolution molecular complexes, such as in toxic protein oligomers associated with amyloid diseases. However, photobleaching can occur before the sample is appropriately placed and focused. Such "prebleaching" can introduce a strong systematic bias toward smaller oligomers. Quantitative correction of prebleaching is known to be an ill-posed problem, limiting the utility of the technique. Here, we provide an experimental solution to improve its reliability. We chemically construct multimeric standards to estimate the prebleaching probability, B. We show that B can be used as a constraint to reliably correct the statistics obtained from a known distribution of standard oligomers. Finally, we apply this method to the data obtained from a heterogeneous oligomeric solution of human islet amyloid polypeptide. Our results show that photobleaching can critically skew the estimation of oligomeric distributions, so that low abundance monomers display a much higher apparent abundance. In summary, any inference from photobleaching experiments with B > 0.1 is likely to be unreliable, but our method can be used to quantitatively correct possible errors.

Indexed as

Coloring AgentsBiasHumansPhotobleachingReproducibility of ResultsColoring Agents

Identifiers

PMID31972157
PMCPMC7063439
OpenAlexW2999980293

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.