Evidence map›Paper›PMID 36952181›Full record

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

Ultrastructural Analysis and Quantification of Peroxisome-Organelle Contacts.

Christian Hacker, Tina A Schrader, Michael Schrader

Abstract read
PubMed Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A brief history of the human liver peroxisome.Histochemistry and cell biology · 2026
    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.

Christian HackerFaculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, Devon, UK. c.hacker@exeter.ac.uk.
Tina A SchraderFaculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, Devon, UK.
Michael SchraderFaculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, Devon, UK. m.schrader@exeter.ac.uk.

Funding

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

Abstract

Transmission electron microscopy (TEM) has long been a vital technology to visualize the interaction of cellular compartments at the highest possible resolution. While this paved the way to describing organelles within the cellular context in detail, TEM has long been underused to generate quantitative data, analyzing those interactions as well as underlying mechanisms leading to their formation and modification. Here we describe a simple stereological method to unbiasedly assess the extent of organelle-organelle membrane contact sites, able to efficiently generate accurate and reproducible quantitative data from cultured mammalian cells prepared for TEM.

Indexed as

OrganellesPeroxisomesAnimalsCells, CulturedMammalsMicroscopy, Electron, TransmissionCell cultureElectron microscopyMembrane contact sitePeroxisomesQuantitationStereologyTransmission electron microscopy

Identifiers

PMID36952181

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.