Modelling complex biology in vitro
Co-culture and multi-cell culture models provide a platform to examine how different cell types influence one another. By recreating cellular proximity in vitro, these systems allow researchers to investigate cell-to-cell communication and interactions underlying disease-relevant mechanisms in neurodegeneration, neuroinflammation, and other disorders.
Co-culturing human iPSC-derived cells
Reproducible co-culture experiments rely on combining defined cell populations at optimised ratios. ioCells provide characterised, lot-consistent human cell inputs, supported by optimised protocols, helping researchers build controlled, robust co- and multi-culture models that deliver reliable experimental outcomes.
Defined cell inputs
Combine two or more of our ioCells with well-characterised, defined cell identities to build reliable, controllable co-culture or multi-culture systems.
Lot-to-lot consistency
Reduce inter-experimental variability and achieve reproducible co-culture outcomes using ioCells with proven lot-to-lot consistency.
Optimised protocols
Achieve scalable, defined co-cultures with optimised protocols offering guidance on seeding ratios, timing, media recipes, reagents, and more.
ioCells in action
ioCells in action
Enhanced network activity in co-cultures
Fig 1. Measuring network activity in microglia-neuronal co-culture. (A) Representative calcium activity traces of ioGlutamatergic Neurons expressing Incucyte® Neuroburst Orange Lentivirus in monoculture or co-culture with ioMicroglia at day 15 post-addition. Monitored using the Incucyte® Neuronal Activity Analysis software. (B) Quantification shows increased mean network correlation in co-culture, with comparable mean burst duration (mean ± SEM, n = 3–12). Data courtesy of Sartorius.
Co-culturing ioMicroglia with ioGlutamatergic Neurons increases synchronised firing without altering burst duration. This demonstrates how defined cell co-culture systems can reveal microglial influence on neuronal activity, supporting studies of neuroinflammation and neuro-microglial network dynamics.
Tracking GFP ioMicroglia live
Fig 2. Live-cell imaging of GFP ioMicroglia in co-culture with ioGlutamatergic Neurons. ioGlutamatergic Neurons were cultured to day 10 post-thaw. GFP ioMicroglia, cultured to day 10 post-thaw, were added directly to day 11 ioGlutamatergic Neurons. Co-cultures were maintained for a further 3 days before live-cell imaging on a Leica DMi8.
Constitutive GFP expression allows for the tracking of ioMicroglia within a neuronal network without antibody staining. This supports live-cell imaging of microglial morphology, motility and activation state, and simplifies cell sorting in multi-cell cultures.
Co-culture with ioSkeletal Myocytes
Fig 3. Confocal imaging of motor neuron–skeletal muscle co-culture. ioMotor Neurons were co-cultured with ioSkeletal Myocytes and analysed by confocal microscopy at day 30. Alpha-bungarotoxin (yellow) staining highlights acetylcholine receptor expression on co-cultured ioSkeletal Myocytes. Meanwhile, desmin (cyan) and microtubule-associated protein 2 (red) identify ioSkeletal Myocytes and ioMotor Neurons, respectively. (40X magnification.)
In co-cultures of ioMotor Neurons and ioSkeletal Myocytes, acetylcholine receptor expression indicates early neuromuscular junction-like organisation. This co-culture method provides a foundation for studying neuromuscular junction formation and related cellular processes.
GABAergic modulation of network activity
Fig 4. MEA analysis of glutamatergic, GABAergic, and astrocyte tri-cultures. ioGlutamatergic Neurons and human iPSC-derived astrocytes were cultured alone or with increasing numbers of ioGABAergic Neurons and analysed on a 48-well Axion Maestro Pro MEA platform. (A) Network burst frequency increases in excitatory cultures and decreases with the addition of inhibitory neurons. (B) Active electrode counts show sustained spontaneous activity across conditions. Data courtesy of Charles River Laboratories.
ioGABAergic Neurons integrate into excitatory co-cultures to form functional networks and modulate overall network activity. This tri-culture system facilitates the modelling of excitatory–inhibitory interplay in vitro, enabling further study of circuit dynamics relevant to epilepsy and neurodegeneration.
Neuro-glial quad-culture systems
Fig 5. Immunofluorescent characterisation of a quad-culture model. Representative immunostaining shows ioOligodendrocyte-like cells expressing MBP (green), ioGlutamatergic Neurons expressing NF-200 (red) and TUBB3 (red), ioMicroglia expressing IBA1 (yellow), human iPSC-derived astrocytes expressing S100B (yellow), and DAPI counterstain (blue). Cultures were analysed on day 14.
By combining neurons, oligodendrocyte-like cells, microglia, and astrocytes, this quad-culture demonstrates successful integration of multiple human CNS cell types into a single in vitro system, offering a platform to study neurodegenerative processes relevant to Alzheimer’s disease and multiple sclerosis.
Taking multi-cell cultures into 3D
Fig 6. Automated generation of human neuronal microtissues. ioGlutamatergic Neurons and iPSC-derived astrocytes were bioprinted on the Inventia RASTRUM™ platform to form 3D co-cultures in a CNS-mimetic hydrogel, supporting high-throughput screening in 96- and 384-well formats. Data courtesy of Inventia Life Science.
Consistent inputs matter even more as model architecture grows. ioCells have been bioprinted into reproducible 3D neuronal microtissues and integrated into BrainZell brain organoids, where ioMicroglia add measurable inflammatory signalling, cytokine release and pharmacological modulation.
Optimised ioCells combinations
Start from one of our verified ioCells combinations, from neuron–glia co-cultures to neuromuscular and tri-cultures, then extend it with our optimisation guide. Each protocol gives step-by-step instructions, media recipes and recommended readouts.
Working with a combination we have not verified yet? The multi-cell culture protocols and optimisation guide covers coating, plating strategy, seeding densities, media transitions and validation of functional crosstalk.
Recommended resources
Webinar: Modelling neuron-glioma interactions
This webinar shares expert insights on building physiologically relevant neuron-glioma co-culture models. It covers how neuronal activity shapes the tumour microenvironment and how multicellular in vitro systems support mechanistic studies in neuro-oncology.
Protocol: Human neuron-astrocyte co-cultures
Explore a step-by-step co-culture protocol for human iPSC-derived ioGlutamatergic Neurons and ioAstrocytes to support studies on complex neuron-glial interaction. Alongside, get practical guidance on plating, media recipes, and recommended reagents.
Poster: Excitatory–inhibitory imbalances
Learn how to establish a scalable, defined human glutamatergic and GABAergic co-culture capable of forming functional circuits. Then, discover how to use this model to investigate excitatory–inhibitory imbalances and support drug discovery.
Contact us
Move beyond monoculture and establish defined multi-cell models that provide deeper biological insights into cell–cell interactions. Develop scalable co-culture systems using our ioCells to study cellular crosstalk and disease mechanisms.
Frequently Asked Questions (FAQs)
What are co-culture systems?
Co-culture systems are in vitro methods where two different cell types are grown together in the same environment to mimic physiological interactions. These systems enable researchers to study how one cell type influences the behaviour and function of another.
What are the different types of co-culture?
Co-culture types include direct co-culture, where different cell types are in physical contact, and indirect co-culture, where populations are separated (e.g., by inserts or membranes) but share signalling factors. They can also extend to tri- or quad-culture formats with three or more cell types.
What are the advantages of co-culture systems over monoculture?
Co-culture systems more closely reflect the complexity of living tissues by enabling interactions between different cell types. Unlike monocultures, they allow researchers to study intercellular communication and context-dependent responses, providing more physiologically relevant insights into cell behaviour and disease mechanisms.
Why are multi-cell culture models important for disease research?
Multi-cell culture models integrate different cell types that normally exist in close proximity within tissues into a single in vitro system, giving researchers the opportunity to study cell–cell interactions that typically occur under physiological conditions. This approach reveals biology that may be missed in isolated monocultures and supports more informative studies of disease progression and treatment response.
Why use human iPSC-derived ioCells rather than primary or animal cells?
Primary cells vary between donors, animal cells introduce species differences, and heterogeneous iPSC-derived cultures create variability which undermines the understanding of which cell drives a specific phenotype. ioCells are defined, consistent human cells with lot-to-lot consistency, so phenotypic changes in a co-culture model can be linked to cellular crosstalk rather than variable inputs.
How can different cell types be distinguished in a co-culture system?
Assays like immunocytochemistry (ICC) can be used to identify distinct cell populations with the use of cell type-specific markers, such as MAP2 for neurons, S100B or Vimentin for astrocytes, and IBA1 for microglia. Alternatively, for live tracking without the need for antibody staining, scientists can use ioTracker Cells, like GFP ioMicroglia, which constitutively express a fluorescent marker.
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