From 2D to 3D cell cultures

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Why and how? From 2D to 3D cell culture:

The main issues find while using 2D cell systems, is that it is not possible to have access to the specific architecture that drives the function of a tissue or an organ. There are many other problems related to extrapolation of data generated from 2D cell cultures systems to physiology because the 2D cell cultures may only reflect a small part of an organ. (1)

Besides, the 3D cell culture systems are closer to the in vivo complexity. (2) The problematic to face here is that the physiology is very complex and the only way to approach it is to refine models.  As experimental systems became more complex, a lot of variables need to be considered, thus, it is necessary to cross used mathematics, biological knowledge and of course experimentation to better understand which are the best parameters to study in 3D cell culture.



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  1. Haycock JW. 3D cell culture: A Review of Current Approaches and Techniques. In 2011 [cited 2016 Sep 6]. p. 1–15.
  1. Ravi M, Paramesh V, Kaviya SR, Anuradha E, Paul Solomon FD. 3D cell culture systems: Advantages and applications. J Cell Physiol. 2015;230(1):16–26.
  1. American Type Culture Collection Standards Development Organization Workgroup ASN-0002. Cell line misidentification: the beginning of the end. Nat Rev Cancer [Internet]. 2010 Jun [cited 2016 Sep 6];10(6):441–8.
  1. Geraghty RJ, Capes-Davis A, Davis JM, Downward J, Freshney RI, Knezevic I, et al. Guidelines for the use of cell lines in biomedical research. Br J Cancer [Internet]. 2014 Sep 9 [cited 2017 Apr 27];111(6):1021–46.
  1. Kalig A, Hansmann J, Groeber F. In silico approaches for the identification of optimal culture condition for tissue engineered bone substitutes. Curr Anal Chem [Internet]. 2013 [cited 2016 Sep 6]

See also :

A Comparison between 2D and 3D Extracellular Matrices from Asmbio


2D and 3D Cell Culture Comparison from News Medical[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/3″][vc_team title=”Written by Pablo Salaverria” subtitle=”PHD STUDENT | INNOVATION UNIT | H2020-MSCA-ITN-DIVIDE” image=”7377″]

Pablo is part of the H2020-MSCA-ITN-ETN-DivIDe European network. LEARN MORE.

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