Evidence map›Paper›PMID 36471162›Full record

ArticleCommunications biology2022

Generation of transgenic mice expressing a FRET biosensor, SMART, that responds to necroptosis.

Shin Murai, Kanako Takakura, Kenta Sumiyama, Kenta Moriwaki, Kenta Terai, Sachiko Komazawa-Sakon, Takao Seki, Yoshifumi Yamaguchi, Tetuo Mikami, Kimi Araki and 3 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Necroptosis and Its Involvement in Various Diseases.Advances in experimental medicine and biology · 2024
    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

13 authors at 6 institutions in 1 country.

Shin MuraiDepartment of Biochemistry, Toho University School of Medicine, 5-21-16 Omori-Nishi, Ota-ku, Tokyo, 143-8540, Japan.ORCID 0000-0002-7516-403X
Kanako TakakuraImaging Platform for Spatio-Temporal Regulation, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan.
Kenta SumiyamaLaboratory for Mouse Genetic Engineering, RIKEN Center for Biosystems Dynamics Research, Suita, 565-0874, Japan.ORCID 0000-0001-8785-5439
Kenta MoriwakiDepartment of Biochemistry, Toho University School of Medicine, 5-21-16 Omori-Nishi, Ota-ku, Tokyo, 143-8540, Japan.ORCID 0000-0002-8724-4715
Kenta TeraiResearch Center for Dynamic Living Systems, Graduate School of Biostudies, Kyoto University, Kyoto, 606-8501, Japan.ORCID 0000-0001-7638-3720
Sachiko Komazawa-SakonDepartment of Biochemistry, Toho University School of Medicine, 5-21-16 Omori-Nishi, Ota-ku, Tokyo, 143-8540, Japan.ORCID 0000-0002-6244-1974
Takao SekiDepartment of Biochemistry, Toho University School of Medicine, 5-21-16 Omori-Nishi, Ota-ku, Tokyo, 143-8540, Japan.ORCID 0000-0003-0202-8632
Yoshifumi YamaguchiHibernation metabolism, physiology, and development Group, Environmental Biology Division, Institute of Lo600-601. Temperature Science, Hokkaido University, Kita 19, Nishi 8, Kita-ku, Sapporo, Hokkaido, 060-0819, Japan.ORCID 0000-0001-7340-4557
Tetuo MikamiDepartment of Pathology, Toho University School of Medicine, 5-21-16 Omori-Nishi, Ota-ku, Tokyo, 143-8540, Japan.
Kimi ArakiCenter for Animal Resources and Development, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, 860-0811, Japan.ORCID 0000-0002-1396-1527
Masaki OhmurayaDepartment of Genetics, Hyogo College of Medicine, Nishinomiya, Hyogo, 663-8501, Japan.
Michiyuki MatsudaResearch Center for Dynamic Living Systems, Graduate School of Biostudies, Kyoto University, Kyoto, 606-8501, Japan.
Hiroyasu NakanoDepartment of Biochemistry, Toho University School of Medicine, 5-21-16 Omori-Nishi, Ota-ku, Tokyo, 143-8540, Japan. hiroyasu.nakano@med.toho-u.ac.jp.ORCID 0000-0003-4843-1427
Toho University · JPKyoto University · JPHokkaido University · JPHyogo Medical University · JPKumamoto Health Science University · JPRIKEN Center for Biosystems Dynamics Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necroptosis is a regulated form of cell death involved in various pathological conditions, including ischemic reperfusion injuries, virus infections, and drug-induced tissue injuries. However, it is not fully understood when and where necroptosis occurs in vivo. We previously generated a Forster resonance energy transfer (FRET) biosensor, termed SMART (the sensor for MLKL activation by RIPK3 based on FRET), which monitors conformational changes of MLKL along with progression of necroptosis in human and murine cell lines in vitro. Here, we generate transgenic (Tg) mice that express the SMART biosensor in various tissues. The FRET ratio is increased in necroptosis, but not apoptosis or pyroptosis, in primary cells. Moreover, the FRET signals are elevated in renal tubular cells of cisplatin-treated SMART Tg mice compared to untreated SMART Tg mice. Together, SMART Tg mice may provide a valuable tool for monitoring necroptosis in different types of cells in vitro and in vivo.

Indexed as

Biosensing TechniquesNecroptosisAnimalsFluorescence Resonance Energy TransferHumansMiceMice, TransgenicProtein KinasesProtein Kinases

Identifiers

PMID36471162
PMCPMC9722793
OpenAlexW4310783324

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.