Evidence map›Paper›PMID 38832019›Full record

ArticleiScience2024

3D model of mouse embryonic pancreas and endocrine compartment using stem cell-derived mesoderm and pancreatic progenitors.

Shlomit Edri, Vardit Rosenthal, Or Ginsburg, Abigail Newman Frisch, Christophe E Pierreux, Nadav Sharon, Shulamit Levenberg

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shlomit EdriFaculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Vardit RosenthalFaculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Or GinsburgFaculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Abigail Newman FrischFaculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Christophe E PierreuxCell Biology Unit, de Duve Institute, UCLouvain, Woluwe, 1200 Brussels, Belgium.
Nadav SharonFaculty of Biology, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Shulamit LevenbergFaculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The developing mouse pancreas is surrounded by mesoderm compartments providing signals that induce pancreas formation. Most pancreatic organoid protocols lack this mesoderm niche and only partially capture the pancreatic cell repertoire. This work aims to generate pancreatic aggregates by differentiating mouse embryonic stem cells (mESCs) into mesoderm progenitors (MPs) and pancreas progenitors (PPs), without using Matrigel. First, mESCs were differentiated into epiblast stem cells (EpiSCs) to enhance the PP differentiation rate. Next, PPs and MPs aggregated together giving rise to various pancreatic cell types, including endocrine, acinar, and ductal cells, and to endothelial cells. Single-cell RNA sequencing analysis revealed a larger endocrine population within the PP + MP aggregates, as compared to PPs alone or PPs in Matrigel aggregates. The PP + MP aggregate gene expression signatures and its endocrine population percentage closely resembled those of the endocrine population found in the mouse embryonic pancreas, which holds promise for studying pancreas development.

Indexed as

cell biologystem cells researchtranscriptomics

Identifiers

PMID38832019
PMCPMC11144751

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.