High-throughput quantitative screening of glucose-stimulated insulin secretion and insulin content using automated MALDI-TOF mass spectrometry Article Swipe
Clément Delannoy
,
Egon Heuson
,
Adrien Herlédan
,
Frédérik Oger
,
Bryan Thiroux
,
Mickaël Chevalier
,
Xavier Gromada
,
Laure Rolland
,
Philippe Froguel
,
Benoît Déprez
,
Sébastien Paul
,
Jean‐Sébastien Annicotte
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.02.14.528514
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.02.14.528514
Type 2 diabetes (T2D) is a metabolic disorder characterized by loss of pancreatic β- cell function, decreased insulin secretion and increased insulin resistance, that affects more than 400 million people worldwide. Although several treatments are proposed to patients suffering from T2D, long-term control of glycemia remains a challenge. Therefore, identifying new potential drugs and targets that positively affect β-cell function and insulin secretion remains crucial. Here, we developed an automated approach to allow the identification of new compounds or genes potentially involved in β-cell function in a 384-well plate format, using the murine β-cell model Min6. Using MALDI-TOF mass spectrometry, we have implemented a high-throughput screening (HTS) strategy based on the automation of a cellular assay allowing to detect insulin secretion in response to glucose, quantitative detection of insulin, in a miniaturized system. As a proof of concept, we screened siRNA targeting well-know β-cell genes and 1600 chemical compounds and identified several molecules as potential regulators of insulin secretion and/or synthesis, demonstrating that our approach allows HTS of insulin secretion in vitro .
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.02.14.528514
- https://www.biorxiv.org/content/biorxiv/early/2023/02/15/2023.02.14.528514.full.pdf
- OA Status
- green
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4320896656
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4320896656Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2023.02.14.528514Digital Object Identifier
- Title
-
High-throughput quantitative screening of glucose-stimulated insulin secretion and insulin content using automated MALDI-TOF mass spectrometryWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-15Full publication date if available
- Authors
-
Clément Delannoy, Egon Heuson, Adrien Herlédan, Frédérik Oger, Bryan Thiroux, Mickaël Chevalier, Xavier Gromada, Laure Rolland, Philippe Froguel, Benoît Déprez, Sébastien Paul, Jean‐Sébastien AnnicotteList of authors in order
- Landing page
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https://doi.org/10.1101/2023.02.14.528514Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/02/15/2023.02.14.528514.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/02/15/2023.02.14.528514.full.pdfDirect OA link when available
- Concepts
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Insulin, Secretion, Type 2 diabetes, Insulin resistance, High-throughput screening, Function (biology), Cell, Diabetes mellitus, Internal medicine, Mass spectrometry, Endocrinology, Chemistry, Biology, Medicine, Biochemistry, Cell biology, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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14Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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