Evidence map›Paper›PMID 28688927›Full record

ReviewSeminars in cell & developmental biology2018

An unexpected friend - ROS in apoptosis-induced compensatory proliferation: Implications for regeneration and cancer.

Neha Diwanji, Andreas Bergmann

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

68 citing papers in PubMed, 153 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Neha DiwanjiUniversity of Massachusetts Medical School, Department of Molecular, Cell and Cancer Biology, 364 Plantation Street - LRB419, Worcester, MA, 01605, USA. Electronic address: Neha.Diwanji@umassmed.edu.
Andreas BergmannUniversity of Massachusetts Medical School, Department of Molecular, Cell and Cancer Biology, 364 Plantation Street - LRB419, Worcester, MA, 01605, USA. Electronic address: andreas.bergmann@umassmed.edu.
University of Massachusetts Chan Medical School · US

Funding

Mechanisms and consequences of programmed cell death (apoptosis) and compensatory proliferation in DrosophilaR35GM118330 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BERGMANN, ANDREAS · 2016 to 2025
$6.5M
Role of apoptosis for regenerative proliferationR01GM107789 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BERGMANN, ANDREAS · 2013 to 2016
$1.8M
NIGMS NIH HHS R01 GM107789NIGMS NIH HHS R35 GM118330
6 · The paper itself

Abstract

Apoptosis-induced compensatory proliferation (AiP) is a form of compensatory proliferation that is triggered by apoptotic cell death to maintain tissue homeostasis. As such, AiP is essential for many tissue repair processes including regeneration. The apoptotic effectors, termed caspases, not only execute apoptosis, but are also directly involved in the generation of the signals required for AiP. Reactive oxygen species (ROS) play an important role for regenerative processes. Recently, it was shown in Drosophila that apoptotic caspases can mediate the generation of ROS for promoting AiP. This review summarizes and discusses these findings in the context of regenerative processes and cancer.

Indexed as

AnimalsApoptosisCell ProliferationHumansNeoplasmsReactive Oxygen SpeciesRegenerationSignal TransductionReactive Oxygen SpeciesApoptosis-induced proliferationDrosophilaMacrophagesReactive oxygen speciesRegeneration

Identifiers

PMID28688927
PMCPMC5756134
OpenAlexW2725933288

What OpenQuestion holds

Textmetadata
LicenceTDM
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.