Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,307

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Cell death: a review of the major forms of apoptosis, necrosis and autophagy

D’Arcy, Mark S·2019·Cell Biology International

Abstract

Cell death was once believed to be the result of one of two distinct processes, apoptosis (also known as programmed cell death) or necrosis (uncontrolled cell death); in recent years, however, several other forms of cell death have been discovered highlighting that a cell can die via a number of differing pathways. Apoptosis is characterised by a number of characteristic morphological changes in the structure of the cell, together with a number of enzyme‐dependent biochemical processes. The result being the clearance of cells from the body, with minimal damage to surrounding tissues. Necrosis, however, is generally characterised to be the uncontrolled death of the cell, usually following a severe insult, resulting in spillage of the contents of the cell into surrounding tissues and subsequent damage thereof. Failure of apoptosis and the resultant accumulation of damaged cells in the body can result in various forms of cancer. An understanding of the pathways is therefore important in developing efficient chemotherapeutics. It has recently become clear that there exists a number of subtypes of apoptosis and that there is an overlap between apoptosis, necrosis and autophagy. The goal of this review is to provide a general overview of the current knowledge relating to the various forms of cell death, including apoptosis, necrosis, oncosis, pyroptosis and autophagy. This will provide researchers with a summary of the major forms of cell death and allow them to compare and contrast between them.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/cbin.11137

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 2,307

Metadata

Authors
D’Arcy, M. S.
Venue
Cell Biology International
Publisher
Wiley
Published
2019-04-25
Volume
43
Issue
6
Pages
582-592
ISSN
  • 1065-6995 (ISSN-L)
  • 1095-8355
OpenAlex
W2937346106
Cited by
2,307
References
68
FWCI
68.61
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.