A highly efficient method to differentiate CGRP-expressing peptidergic nociceptors from human induced pluripotent stem cells.
Overview
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Oxford StemTech, The Oxford Science Park, Oxford, UK
- Global Portfolio & Project Management, Oncology R&D, Cambridge, UK
- Department of Neurology, Faculty of Health and Medical Sciences, Danish Headache Center, Glostrup Hospital, University of Copenhagen, Glostrup, Denmark
- UK Dementia Research Institute, Department of Psychological Medicine and Clinical Neuroscience, Cardiff University, Cardiff, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Discovery Biology, Discovery Sciences IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
- Bioanalytical and Biomarker Labs, Thermofisher Scientific, Gothenburg, Sweden
Abstract
Pain disorders such as neuropathic pain and headache remain areas of considerable unmet need and considered high risk by pharma. Human-induced pluripotent stem cells (iPSC)-derived sensory neurons have already been used to accelerate translational research but the current differentiation protocols produce non-peptidergic nociceptors. We demonstrate for the first time the robust differentiation of hiPSC into peptidergic nociceptor lineage with high yield. These nociceptors express CGRP and TRPV1 and show functional maturity including the expression of TTX-resistant currents and responding to TRPV1 and TRPA1 agonists. Importantly, they were able to release CGRP basally and upon stimulation by inflammatory soup, which was inhibited upon the application of the 5-HT1B/
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
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Data and code availability
Single-cell RNA-seq data have been deposited at GEO at GEO: GSE331403 and are publicly available as of the date of publication. All data reported in this paper will be shared by the lead contact upon request. This paper does not report original code.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 2, 28 September 2026
- Authors: added Galbha Duggal (0000-0001-5969-0825); M. Zameel Cader (0000-0002-6952-406X); removed Galbha Duggal; M. Zameel Cader
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 15 authors, 10 keywords, 7 MeSH terms, 5 funders, 77 references, 15 RRIDs.
Cite
This paper
Duggal, G., Li, X., Pettingill, P., Lalic, T., Gupta, S. K., Høgsbro, C. F., Volpato, V., Webber, C., Bowden, R., Charou, D., Arunasalam, K., Maresca, M., Hicks, R., Chintawar, S., & Cader, M. Z. (2026). A highly efficient method to differentiate CGRP-expressing peptidergic nociceptors from human induced pluripotent stem cells. Stem cell reports, 21(7), 102971. https://
BibTeX
@article{duggal2026highl
author = {Duggal, Galbha and Li, Xinyu and Pettingill, Philippa and Lalic, Tatjana and Gupta, Shailesh Kumar and Høgsbro, Christine Flodgaard and Volpato, Viola and Webber, Caleb and Bowden, Rory and Charou, Despoina and Arunasalam, Kanisa and Maresca, Marcello and Hicks, Ryan and Chintawar, Satyan and Cader, M. Zameel},
title = {{A highly efficient method to differentiate CGRP-expressing peptidergic nociceptors from human induced pluripotent stem cells}},
journal = {Stem cell reports},
year = {2026},
month = jun,
volume = {21},
number = {7},
pages = {102971},
publisher = {Elsevier},
issn = {2213-6711},
doi = {10.1016/
url = {https://
pmid = {42349425},
pmcid = {PMC13385448}
}
RIS
TY - JOUR
AU - Duggal, Galbha
AU - Li, Xinyu
AU - Pettingill, Philippa
AU - Lalic, Tatjana
AU - Gupta, Shailesh Kumar
AU - Høgsbro, Christine Flodgaard
AU - Volpato, Viola
AU - Webber, Caleb
AU - Bowden, Rory
AU - Charou, Despoina
AU - Arunasalam, Kanisa
AU - Maresca, Marcello
AU - Hicks, Ryan
AU - Chintawar, Satyan
AU - Cader, M. Zameel
TI - A highly efficient method to differentiate CGRP-expressing peptidergic nociceptors from human induced pluripotent stem cells
T2 - Stem cell reports
J2 - Stem Cell Reports
PY - 2026
DA - 2026/
VL - 21
IS - 7
SP - 102971
SN - 2213-6711
PB - Elsevier
DO - 10.1016/
UR - https://
LA - en
ER -
CSL-JSON
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