Evidence map›Paper›PMID 38427571›Full record

ArticleSTAR protocols2024

Protocol for quantifying SA-β-gal activity as a measure of senescence in islets of a mouse model of type 1 diabetes.

Hugo Lee, Peter J Thompson, Feyza Engin

Open access · goldAbstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Hugo LeeDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI 53706, USA. Electronic address: hslee5@wisc.edu.
Peter J ThompsonDepartment of Physiology & Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB RT3 2N2, Canada.
Feyza EnginDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI 53706, USA; Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, Wisconsin Institute for Discovery, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI 53705, USA. Electronic address: fengin@wisc.edu.
University of Wisconsin–Madison · USUniversity of Manitoba · CA

Funding

GRADUATE TRAINING IN MOLECULAR BIOSCIENCEST32GM007215 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HULL, CHRISTINA M · 1985 to 2018
$22.5M
The role of beta cell ATF6 in type 1 diabetesR01DK130919 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI Feyza Engin · 2021 to 2026
$2.7M
Metabolic basis of beta cell stress adaptationR56DK128136 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ENGIN, FEYZA · 2021 to 2021
$194k
NIDDK NIH HHS R01 DK130919NIDDK NIH HHS R56 DK128136NIGMS NIH HHS T32 GM007215
6 · The paper itself

Abstract

A subpopulation of pancreatic beta cells becomes senescent during type 1 diabetes (T1D) progression, and removal of these populations protects against T1D in mice. Here, we present a protocol to measure senescence in murine pancreatic islet cells through analysis of senescence-associated β-galactosidase activity. We describe steps for staining with the fluorogenic substrate C

Indexed as

Cellular SenescenceDiabetes Mellitus, Type 1Animalsbeta-GalactosidaseDisease Models, AnimalEpithelial CellsMicebeta-GalactosidaseCell BiologyCell cultureCell isolationMetabolismModel Organisms

Identifiers

PMID38427571
PMCPMC10918323
OpenAlexW4392282151

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.