Evidence map›Paper›PMID 34680157›Full record

ArticleBiomolecules2021

Apoptosis Quantification in Tissue: Development of a Semi-Automatic Protocol and Assessment of Critical Steps of Image Processing.

Juliette de Noiron, Marion Hoareau, Jessie Colin, Isabelle Guénal

Abstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Novel Naphthyridones Targeting Pannexin 1 for Colitis Management.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Article
  5. Article
  6. 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

4 authors.

Juliette de NoironLaboratoire de Génétique et de Biologie Cellulaire (LGBC), UVSQ, Université Paris-Saclay, 78000 Versailles, France.
Marion HoareauLaboratoire de Génétique et de Biologie Cellulaire (LGBC), UVSQ, Université Paris-Saclay, 78000 Versailles, France.
Jessie ColinLaboratoire de Génétique et de Biologie Cellulaire (LGBC), UVSQ, Université Paris-Saclay, 78000 Versailles, France.
Isabelle GuénalLaboratoire de Génétique et de Biologie Cellulaire (LGBC), UVSQ, Université Paris-Saclay, 78000 Versailles, France.ORCID 0000-0003-1186-1458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apoptosis is associated with numerous phenotypical characteristics, and is thus studied with many tools. In this study, we compared two broadly used apoptotic assays: TUNEL and staining with an antibody targeting the activated form of an effector caspase. To compare them, we developed a protocol based on commonly used tools such as image filtering, z-projection, and thresholding. Even though it is commonly used in image-processing protocols, thresholding remains a recurring problem. Here, we analyzed the impact of processing parameters and readout choice on the accuracy of apoptotic signal quantification. Our results show that TUNEL is quite robust, even if image processing parameters may not always allow to detect subtle differences of the apoptotic rate. On the contrary, images from anti-cleaved caspase staining are more sensitive to handle and necessitate being processed more carefully. We then developed an open-source Fiji macro automatizing most steps of the image processing and quantification protocol. It is noteworthy that the field of application of this macro is wider than apoptosis and it can be used to treat and quantify other kind of images.

Indexed as

Image Processing, Computer-AssistedApoptosisCaspases, EffectorHumansIn Situ Nick-End LabelingTissue DistributionCaspases, EffectorapoptosiscaspaseDrosophilaimage processingsignal quantificationthresholdingTUNEL

Identifiers

PMID34680157
PMCPMC8533694

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.