Evidence map›Paper›PMID 37316473›Full record

ArticleNature communications2023

A highly sensitive strategy for monitoring real-time proliferation of targeted cell types in vivo.

Hiroto Sugawara, Junta Imai, Junpei Yamamoto, Tomohito Izumi, Yohei Kawana, Akira Endo, Masato Kohata, Junro Seike, Haremaru Kubo, Hiroshi Komamura and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

18 authors at 2 institutions in 1 country.

Hiroto SugawaraDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Junta ImaiDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan. imai@med.tohoku.ac.jp.ORCID 0000-0003-4636-5905
Junpei YamamotoDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tomohito IzumiDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yohei KawanaDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Akira EndoDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Masato KohataDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Junro SeikeDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Haremaru KuboDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hiroshi KomamuraDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yuichiro MunakataDivision of Metabolism and Diabetes, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Yoichiro AsaiDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shinichiro HosakaDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shojiro SawadaDivision of Metabolism and Diabetes, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Shinjiro KodamaDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kei TakahashiDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0001-9167-2336
Keizo KanekoDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hideki KatagiriDepartment of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0003-1093-3704
Tohoku University · JPTohoku Medical and Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell proliferation processes play pivotal roles in timely adaptation to many biological situations. Herein, we establish a highly sensitive and simple strategy by which time-series showing the proliferation of a targeted cell type can be quantitatively monitored in vivo in the same individuals. We generate mice expressing a secreted type of luciferase only in cells producing Cre under the control of the Ki67 promoter. Crossing these with tissue-specific Cre-expressing mice allows us to monitor the proliferation time course of pancreatic β-cells, which are few in number and weakly proliferative, by measuring plasma luciferase activity. Physiological time courses, during obesity development, pregnancy and juvenile growth, as well as diurnal variation, of β-cell proliferation, are clearly detected. Moreover, this strategy can be utilized for highly sensitive ex vivo screening for proliferative factors for targeted cells. Thus, these technologies may contribute to advancements in broad areas of biological and medical research.

Indexed as

Biomedical ResearchErythrocytes, AbnormalAcclimatizationAnimalsBiological TransportCell ProliferationFemaleMicePregnancy

Identifiers

PMID37316473
PMCPMC10267192
OpenAlexW4380683164

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.