We spoke with experts at Corning to learn how laboratories should choose a 3D model. Here's what they recommend:
Start with the Research Question
Whitney Cary Wilson, Field Application Scientist at Corning Life Sciences, recommends that scientists begin by defining the research question they aim to answer and the cell type they are working with. To aid in selecting the right 3D cell model, scientists should also consider the starting material, such as a primary culture from a donor or a stem cell line.
"That's one of the first decision points that I see my customers go through that'll be dependent upon whether they have stem cell expertise in their lab, and if they have access to patient tissue to generate those organoids," Wilson said. You may also consider which 3D models other labs have used to ask similar questions.
Factor in Throughput and Scale
Catherine Siler, Field Application Scientist Manager at Corning Life Sciences, recommends considering the method's throughput and scale.
"I always encourage my users to think about what scale this ultimately needs to be at so we can help them start on the right foot," Siler said. She also noted that it is possible to start with simpler, smaller-scale methods as a proof-of-concept and then move to more advanced models.
Consider the End Goal
Mikael Garcia, Field Application Scientist for Corning EMEA, states that labs should consider the end goal of their 3D work (e.g., research or clinical use) and assess whether the chosen method can effectively support that goal.
"If it's a model where they are testing drugs, in terms of quality, it's not the same as if they want to go to a patient. So, the question of where we're going to go at the end is very important because, according to that, the strategy at the very beginning will be very different," Garcia said.