Human Pancreatic Stellate Cells (HPSC)

Overview

Human Pancreatic Stellate Cells (HPSC) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Human NPC derived from Pancreas (Pancreatic Stellate) within the Digestive system.

Human Pancreatic Stellate Cells (HPSC) are the main fibroblastic cells of the pancreas. HPSC are responsible for the synthesis and the degradation of the extracellular matrix proteins that promote tissue repair. They are found adjacent to pancreatic acinar cells and around small pancreatic ducts and blood vessels. When HPSC are activated, they assume myofibroblast-like morphology and secrete excessive amounts of extracellular matrix proteins, which can lead to desmoplasia in chronic pancreatitis and adenocarcinoma [1,2] . Recent studies have shown that HPSC can also act as progenitor cells, immune cells, and intermediaries in exocrine pancreatic secretion [3] . Additionally, HPSC stimulate pancreatic cancer proliferation, inhibit apoptosis, and enhance angiogenesis [2] . HPSC are the ideal model for studying pancreatic tumor formation and they can be used to develop novel therapies for treatment of chronic pancreatitis and adenocarcinoma. iXCells Biotechnologies offers HPSC from human pancreas. HPSC are cryopreserved after purification and delivered frozen. Each vial contains >5 x 10 5 cells in 1 ml volume. HPSC are negative for HIV-1, HBV, HCV, mycoplasma, bacteria, yeast and fungi. HPSC can be further expanded for no more than 3 passages in Stellate Cell Growth Medium ( Cat# MD-0014 ). Further expansion may decrease the purity. Figure1. Phase contrast image of Human Pancreatic Stellate Cells (HPSC) at DIV1.

Key elements and design rationale

• Cell identity: NPC (Primary Cells)
• Source context: Pancreas; Pancreatic Stellate; Digestive
• Biosafety level: BSL-2 (follow your institution’s biosafety program and local regulations)

Product-specific elements (such as tissue source, donor background, and cell classification) help frame how results should be interpreted across assays and experimental conditions.

Biological background

Cells originating from the Digestive system are commonly studied to understand tissue-specific physiology, signaling, and responses to perturbations in controlled in vitro settings.

Across primary and specialty cell models, experimental outcomes can be influenced by donor heterogeneity, passage history, confluence, and media composition. For interpretation, it is common to validate key markers or functional phenotypes in the user’s assay context and to document culture variables consistently.

Research relevance and current trends

• Increasing use of primary and specialty cells to improve translational relevance for target biology and phenotypic screening.
• Adoption of 3D culture formats and co-culture systems to better capture tissue microenvironments and cell–cell interactions.
• Integration of functional readouts with single-cell and multi-omics profiling to connect phenotype with molecular state.

Common research applications

• Profile identity markers by flow cytometry or immunostaining in cultured cells
• Quantify functional responses to defined stimuli relevant to the model system
• Compare baseline phenotype across donors/conditions using gene expression profiling
• Model inflammatory or metabolic stress responses relevant to gastrointestinal tissues
• Screen compounds or genetic perturbations for phenotype modulation using viability or imaging endpoints

Interpretation typically focuses on how a perturbation (e.g., cytokine exposure, metabolic stress, genetic manipulation, or compound treatment) shifts marker profiles or functional readouts relative to an appropriate control matched for donor and culture variables.

Notes for experimental interpretation

• Donor-to-donor heterogeneity can influence baseline phenotype and treatment response; include biological replicates when feasible.
• Passage number, confluence, and media composition can shift gene expression and functional readouts; track and report these variables consistently.
• Contamination control (including routine mycoplasma monitoring) supports reproducibility in downstream assays.
• Use appropriate negative/positive controls for the readout (e.g., unstimulated controls, pathway agonists/antagonists) to contextualize observed changes.

SKU:BHC18500067

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