Evidence map›Paper›PMID 23929935›Full record

ArticleDiabetes2013

Age-dependent labeling and imaging of insulin secretory granules.

Anna Ivanova, Yannis Kalaidzidis, Ronald Dirkx, Mihail Sarov, Michael Gerlach, Britta Schroth-Diez, Andreas Müller, Yanmei Liu, Cordula Andree, Bernard Mulligan and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

42 citing papers in PubMed, 69 citations in OpenAlex.

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  14. Sequential in vivo labeling of insulin secretory granule pools inProceedings of the National Academy of Sciences of the United States of America · 2021
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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

16 authors at 3 institutions in 2 countries.

Anna IvanovaMolecular Diabetology, Paul Langerhans Institute Dresden, Dresden University of Technology, Dresden, Germany.
Yannis Kalaidzidis
Ronald Dirkx
Mihail Sarov
Michael Gerlach
Britta Schroth-Diez
Andreas Müller
Yanmei Liu
Cordula Andree
Bernard Mulligan
Carla Münster
Thomas Kurth
Marc Bickle
Stephan Speier
Konstantinos Anastassiadis
Michele Solimena
Max Planck Institute of Molecular Cell Biology and Genetics · DEPaul Langerhans Institute Dresden · DETU Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin is stored within the secretory granules of pancreatic β-cells, and impairment of its release is the hallmark of type 2 diabetes. Preferential exocytosis of newly synthesized insulin suggests that granule aging is a key factor influencing insulin secretion. Here, we illustrate a technology that enables the study of granule aging in insulinoma cells and β-cells of knock-in mice through the conditional and unequivocal labeling of insulin fused to the SNAP tag. This approach, which overcomes the limits encountered with previous strategies based on radiolabeling or fluorescence timer proteins, allowed us to formally demonstrate the preferential release of newly synthesized insulin and reveal that the motility of cortical granules significantly changes over time. Exploitation of this approach may enable the identification of molecular signatures associated with granule aging and unravel possible alterations of granule turnover in diabetic β-cells. Furthermore, the method is of general interest for the study of membrane traffic and aging.

Indexed as

AnimalsCell LineCellular SenescenceHumansInsulinInsulin SecretionIslets of LangerhansMiceProinsulinSecretory VesiclesInsulinProinsulin

Identifiers

PMID23929935
PMCPMC3806613
OpenAlexW2134971690

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.