Evidence map›Paper›PMID 40987002›Full record

ReviewCurrent opinion in cell biology2025

Roles of molecular motors in insulin-secreting beta cells.

Syed N Barmaver, Guoqiang Gu, Irina Kaverina

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2025. 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
–field-weighted citation impact
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.

  1. 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

3 authors.

Syed N BarmaverCell & Developmental Biology, Vanderbilt University School of Medicine, USA.
Guoqiang GuCell & Developmental Biology, Vanderbilt University School of Medicine, USA.
Irina KaverinaCell & Developmental Biology, Vanderbilt University School of Medicine, USA. Electronic address: irina.kaverina@vanderbilt.edu.

Funding

Microtubule Regulation of Pancreatic Beta Cell Function and DiabetesR01DK106228 · NIDDK · VANDERBILT UNIVERSITY · PI Guoqiang Gu, William Holmes · 2016 to 2026
$6.4M
Dynamic architecture of microtubule networksR35GM127098 · NIGMS · VANDERBILT UNIVERSITY · PI Irina Kaverina · 2018 to 2026
$4.1M
NIDDK NIH HHS R01 DK106228NIGMS NIH HHS R35 GM127098
6 · The paper itself

Abstract

Pancreatic β cells are essential for glucose homeostasis through the regulated secretion of insulin in response to rising glucose levels. A critical component of this process is the precise and timely positioning of insulin secretory granules (ISGs) at the secretion sites on the plasma membrane. This positioning is mediated by molecular motors that transport ISGs along cytoskeletal tracks, including microtubules (MTs) and actin filaments. Despite their importance, the roles of molecular motors in insulin-secreting β cells remain incompletely understood. In this review, we summarize current findings on the involvement of molecular motors both in ISG transport, directly regulating granule availability for secretion, and in the organization of other subcellular structures, thereby indirectly influencing secretion. These indirect roles include kinesin-1-mediated microtubule sliding that configures the β cell-specific MT network, the spatial organization of calcium channels, and mitochondrial positioning, among others. We also draw parallels between β cells and neurons, proposing that insights from neuronal motor protein studies can guide future research directions in β cell biology.

Indexed as

InsulinInsulin-Secreting CellsMolecular Motor ProteinsActinsAnimalsHumansInsulin SecretionMicrotubulesNeuronsActinsInsulinMolecular Motor Proteins

Identifiers

PMID40987002
PMCPMC12899365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.