Evidence map›Paper›PMID 39561351›Full record

ArticleDiabetes2025

Tracking Insulin- and Glucagon-Expressing Cells In Vitro and In Vivo Using a Double-Reporter Human Embryonic Stem Cell Line.

Samantha Mar, Ekaterina Filatov, Shugo Sasaki, Majid Mojibian, Dahai Zhang, Angela Yang, Cuilan Nian, Francis C Lynn

Abstract read
In one paragraph

Article in Diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Samantha MarBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Ekaterina FilatovBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Shugo SasakiBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Majid MojibianBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Dahai ZhangBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Angela YangBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Cuilan NianBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Francis C LynnBC Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-9318-1063

Funding

BCCHR IGAP F.C.LBreakthrough T1D 3-COE-2022-1103-M-BCanadian Islet Research and Training Network Award E.F.CIHR ASD-173663, S.M, E.F.Michael Smith Foundation for Health Research #5238 BIOMUBC CELL Graduate Program 1YF S.M.
6 · The paper itself

Abstract

article highlightsDifferentiation protocols used to generate stem cell-derived islet cells yield heterogenous cell populations. We generated a human embryonic stem cell line that reports insulin- and glucagon-expressing cells in vitro and in vivo without altering their differentiation or function. We showed some insulin- and glucagon-expressing bihormonal cells are cell-autonomously fated to become α-like cells. This reporter cell line can be used to further study and improve stem cell-derived islet differentiation and transplantation.

Indexed as

GlucagonGlucagon-Secreting CellsHuman Embryonic Stem CellsInsulinAnimalsCell DifferentiationCell LineGenes, ReporterHumansInsulin-Secreting CellsMiceGlucagonInsulin

Identifiers

PMID39561351
PMCPMC11755683

What OpenQuestion holds

Textmetadata
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.