Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 290

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Die for the community: an overview of programmed cell death in bacteria

Open access
Allocati, N, Masulli, M, Di Ilio, C, De Laurenzi, V·2015·Cell Death & Disease

Abstract

Programmed cell death is a process known to have a crucial role in many aspects of eukaryotes physiology and is clearly essential to their life. As a consequence, the underlying molecular mechanisms have been extensively studied in eukaryotes and we now know that different signalling pathways leading to functionally and morphologically different forms of death exist in these organisms. Similarly, mono-cellular organism can activate signalling pathways leading to death of a number of cells within a colony. The reason why a single-cell organism would activate a program leading to its death is apparently counterintuitive and probably for this reason cell death in prokaryotes has received a lot less attention in the past years. However, as summarized in this review there are many reasons leading to prokaryotic cell death, for the benefit of the colony. Indeed, single-celled organism can greatly benefit from multicellular organization. Within this forms of organization, regulation of death becomes an important issue, contributing to important processes such as: stress response, development, genetic transformation, and biofilm formation.

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 · 10.1038/cddis.2014.570

Cites

107 of 107 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

Show all 107 references

Cited by

See all 290

Metadata

Authors
Allocati, N., Masulli, M., Di Ilio, C., & De Laurenzi, V
Venue
Cell Death & Disease
Published
2015-01-22
Volume
6
Issue
1
Pages
e1609-e1609
ISSN
2041-4889 (ISSN-L)
OpenAlex
W2041000367
Cited by
290
References
107
FWCI
11.10
Type
journal article
Language
en
Open access
gold

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Die for the community: an overview of programmed cell death in bacteria. https://app.cochat.ai/papers/10.1038/cddis.2014.570
The paper
Allocati, N., Masulli, M., Di Ilio, C., & De Laurenzi, V. (2015). Die for the community: an overview of programmed cell death in bacteria. Cell Death & Disease. https://doi.org/10.1038/cddis.2014.570

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.