2016
DOI: 10.1038/srep38195
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A SILAC-Based Method for Quantitative Proteomic Analysis of Intestinal Organoids

Abstract: Organoids have the potential to bridge 3D cell culture to tissue physiology by providing a model resembling in vivo organs. Long-term growing organoids were first isolated from intestinal crypt cells and recreated the renewing intestinal epithelial niche. Since then, this technical breakthrough was applied to many other organs, including prostate, liver, kidney and pancreas. We describe here how to apply a SILAC-based quantitative proteomic approach to measure protein expression changes in intestinal organoids… Show more

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Cited by 25 publications
(28 citation statements)
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“…One of the advantages of this approach is that there is a minimum experimental variation as the label is incorporated at the amino acid level and thus, analysis of mass spectra is straightforward and highly precise. Although SILAC was developed and used widely in cell cultures for quantitative proteomics of both primary cells [57] and cell lines [58], recent studies have used SILAC for in vitro cell-based organoids [59] and also in vivo [60]. An organoid is derived from induced pluripotent stem cells of a specific donor and can be considered a near-physiological 3D model that closely approximates the genetic and functional characteristics of the stem cell donor.…”
Section: Strategy and Methods To Identify Newly Synthetized Proteins mentioning
confidence: 99%
See 1 more Smart Citation
“…One of the advantages of this approach is that there is a minimum experimental variation as the label is incorporated at the amino acid level and thus, analysis of mass spectra is straightforward and highly precise. Although SILAC was developed and used widely in cell cultures for quantitative proteomics of both primary cells [57] and cell lines [58], recent studies have used SILAC for in vitro cell-based organoids [59] and also in vivo [60]. An organoid is derived from induced pluripotent stem cells of a specific donor and can be considered a near-physiological 3D model that closely approximates the genetic and functional characteristics of the stem cell donor.…”
Section: Strategy and Methods To Identify Newly Synthetized Proteins mentioning
confidence: 99%
“…An organoid is derived from induced pluripotent stem cells of a specific donor and can be considered a near-physiological 3D model that closely approximates the genetic and functional characteristics of the stem cell donor. Organoids derived from a variety of induced pluripotent stem cell donors can address individual human population variability, making it useful for applications in precision medicine [59,6162]. The complete and almost complete labeling (96.2%) by SILAC in vivo was reported for mice [63] and flies [60], respectively, and partial SILAC labeling was accomplished for chickens [40,64] and newts [65].…”
Section: Strategy and Methods To Identify Newly Synthetized Proteins mentioning
confidence: 99%
“…Nonetheless, prolonged organoid culture is required to obtain sufficient material as well as for organoid proliferation and differentiation prior to sample preparation for mass spectrometry, minimizing the difference of the additional time for growth needed to insure sufficient SILAC organoid labeling. Organoids, either directly or following isotope incorporation, can be frozen for storage, preservation and future assays, which shortens the time of culture after the initial incorporation . Thus, culture time differences may be minimized since SILAC‐labeled frozen organoids can be used to restart organoid growth .…”
Section: Strengths and Limitations Of The Different Quantitative Apprmentioning
confidence: 99%
“…Organoids, either directly or following isotope incorporation, can be frozen for storage, preservation and future assays, which shortens the time of culture after the initial incorporation . Thus, culture time differences may be minimized since SILAC‐labeled frozen organoids can be used to restart organoid growth . As opposed to isobaric labeling methods, SILAC is more limited in the number of combinations available for isotope labeling because of the number of labels that can be simultaneously used.…”
Section: Strengths and Limitations Of The Different Quantitative Apprmentioning
confidence: 99%
See 1 more Smart Citation