The effects of media on pharmaceutically relevant transporters in the human HT-29 adenocarcinoma cell line: Does culture media need to be controlled?
✍ Scribed by David J. Lindley; Wyatt J. Roth; Stephen M. Carl; Gregory T. Knipp
- Publisher
- John Wiley and Sons
- Year
- 2012
- Tongue
- English
- Weight
- 363 KB
- Volume
- 101
- Category
- Article
- ISSN
- 0022-3549
No coin nor oath required. For personal study only.
✦ Synopsis
The HT-29 cell line forms a confluent monolayer with tight junctions, but displays different phenotypes when cultured for 21 days in galactose-supplemented media (differentiated) versus glucose-supplemented media (dedifferentiated). This study is aimed at elucidating how media differences might affect selected drug transporter expression and peptide-based substrate transport toward reducing this variability. A vial of HT-29 cells was amplified and cultured over several passages in four different mediums (American Type Culture Collection recommended McCoy's 5A versus Dulbecco's modified Eagle's media containing glucose, galactose, or neither carbohydrate) with normal supplementation. Transporter mRNA expression was characterized at days 5 and 21 postseeding utilizing SABiosciences quantitative reversetranscriptase polymerase chain reaction (qRT-PCR) drug transporter arrays. Transport studies using [H]histidine, [ 3 H]glycylsarcosine, [ 3 H]valacyclovir, and [ 3 H]carnosine were performed to assess the functional effects of oligopeptide transporter expression changes in HT-29 cells grown in each media. qRT-PCR arrays illustrated variable, media-dependent transporter expression between both the initial and differentiated time points. Permeability studies illustrated considerable media-dependent differences in both paracellular and transcellular substrate fluxes. The results demonstrate that these cells exhibit differing monolayer characteristics and genotypic/phenotypic profile properties when cultured under different media. The results suggest a need for standardization of culture methodologies for reducing inter-and intralaboratory variability.