Evidence map›Paper›PMID 35378291›Full record

ArticleMolecular & cellular proteomics : MCP2022

Characterization of the Secretome, Transcriptome, and Proteome of Human β Cell Line EndoC-βH1.

Maria Ryaboshapkina, Kevin Saitoski, Ghaith M Hamza, Andrew F Jarnuczak, Séverine Pechberty, Claire Berthault, Kaushik Sengupta, Christina Rye Underwood, Shalini Andersson, Raphael Scharfmann

Open access · goldAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 5 institutions in 5 countries.

Maria RyaboshapkinaTranslational Science and Experimental Medicine, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden. Electronic address: maria.ryaboshapkina@astrazeneca.com.
Kevin SaitoskiUniversité de Paris, Institut Cochin, INSERM U1016, CNRS UMR 8104, Paris, France.
Ghaith M HamzaDiscovery Sciences, AstraZeneca, Boston, Massachusetts, USA; Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, USA.
Andrew F JarnuczakQuantitative Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom.
Séverine PechbertyUniversité de Paris, Institut Cochin, INSERM U1016, CNRS UMR 8104, Paris, France.
Claire BerthaultUniversité de Paris, Institut Cochin, INSERM U1016, CNRS UMR 8104, Paris, France.
Kaushik SenguptaAlliance Management, Business Development, Licensing and Strategy, Biopharmaceuticals R&D, Astra Zeneca, Gothenburg, Sweden.
Christina Rye UnderwoodBioscience Metabolism, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom.
Shalini AnderssonOligonucleotide Discovery, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Raphael ScharfmannUniversité de Paris, Institut Cochin, INSERM U1016, CNRS UMR 8104, Paris, France.
Centre National de la Recherche Scientifique · FRAstraZeneca (Sweden) · SEAstraZeneca (United Kingdom) · GBAstraZeneca (Finland) · FIUniversity of New Hampshire · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diabetes research is hampered by limited availability, variable quality, and instability of human pancreatic islets in culture. Little is known about the human β cell secretome, and recent studies question translatability of rodent β cell secretory profiles. Here, we verify representativeness of EndoC-βH1, one of the most widely used human β cell lines, as a translational human β cell model based on omics and characterize the EndoC-βH1 secretome. We profiled EndoC-βH1 cells using RNA-seq, data-independent acquisition, and tandem mass tag proteomics of cell lysate. Omics profiles of EndoC-βH1 cells were compared to human β cells and insulinomas. Secretome composition was assessed by data-independent acquisition proteomics. Agreement between EndoC-βH1 cells and primary adult human β cells was ∼90% for global omics profiles as well as for β cell markers, transcription factors, and enzymes. Discrepancies in expression were due to elevated proliferation rate of EndoC-βH1 cells compared to adult β cells. Consistently, similarity was slightly higher with benign nonmetastatic insulinomas. EndoC-βH1 secreted 783 proteins in untreated baseline state and 3135 proteins when stressed with nontargeting control siRNA, including known β cell hormones INS, IAPP, and IGF2. Further, EndoC-βH1 secreted proteins known to generate bioactive peptides such as granins and enzymes required for production of bioactive peptides. EndoC-βH1 secretome contained an unexpectedly high proportion of predicted extracellular vesicle proteins. We believe that secretion of extracellular vesicles and bioactive peptides warrant further investigation with specialized proteomics workflows in future studies.

Indexed as

InsulinomaInsulin-Secreting CellsPancreatic NeoplasmsCell LineHumansInsulinProteomeSecretomeTranscriptomeInsulinProteomeEndoC-bH1in vitro model validationpancreatic beta cellsecretome

Identifiers

PMID35378291
PMCPMC9062487
OpenAlexW4225254147

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.