Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling
Abstract Organoids culture provides unique opportunities to study human diseases and to complement animal models. Several organs and tissues can be in vitro cultured in 3D structures resembling in vivo tissue organization. Organoids culture contains most of the cell types of the original tissue and...
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Nature Portfolio
2021
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oai:doaj.org-article:922f51cd44344c1fa5a78e768fd267192021-12-02T18:51:41ZCharacterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling10.1038/s41598-021-96321-82045-2322https://doaj.org/article/922f51cd44344c1fa5a78e768fd267192021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96321-8https://doaj.org/toc/2045-2322Abstract Organoids culture provides unique opportunities to study human diseases and to complement animal models. Several organs and tissues can be in vitro cultured in 3D structures resembling in vivo tissue organization. Organoids culture contains most of the cell types of the original tissue and are maintained by growth factors mimicking the in vivo state. However, the system is yet not fully understood, and specific in vivo features especially those driven by cell-extrinsic factors may be lost in culture. Here we show a comprehensive transcriptome-wide characterization of mouse gut organoids derived from different intestinal compartments and from mice of different gender and age. RNA-seq analysis showed that the in vitro culture strongly influences the global transcriptome of the intestinal epithelial cells (~ 60% of the total variance). Several compartment-, age- and gender-related transcriptome features are lost after culturing indicating that they are driven by niche or systemic factors. However, certain intrinsic transcriptional programs, for example, some compartment-related features and a minority of gender- and aging- related features are maintained in vitro which suggested possibilities for these features to be studied in this system. Moreover, our study provides knowledge about the cell-extrinsic or cell-intrinsic origin of intestinal epithelial transcriptional programs. We anticipated that our characterization of this in vitro system is an important reference for scientists and clinicians using intestinal organoids as a research model.Jing LuAnna KrepelovaSeyed Mohammad Mahdi RasaFrancesco AnnunziataOlena HusakLisa AdamSuneetha NunnaFrancesco NeriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
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Medicine R Science Q Jing Lu Anna Krepelova Seyed Mohammad Mahdi Rasa Francesco Annunziata Olena Husak Lisa Adam Suneetha Nunna Francesco Neri Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling |
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Abstract Organoids culture provides unique opportunities to study human diseases and to complement animal models. Several organs and tissues can be in vitro cultured in 3D structures resembling in vivo tissue organization. Organoids culture contains most of the cell types of the original tissue and are maintained by growth factors mimicking the in vivo state. However, the system is yet not fully understood, and specific in vivo features especially those driven by cell-extrinsic factors may be lost in culture. Here we show a comprehensive transcriptome-wide characterization of mouse gut organoids derived from different intestinal compartments and from mice of different gender and age. RNA-seq analysis showed that the in vitro culture strongly influences the global transcriptome of the intestinal epithelial cells (~ 60% of the total variance). Several compartment-, age- and gender-related transcriptome features are lost after culturing indicating that they are driven by niche or systemic factors. However, certain intrinsic transcriptional programs, for example, some compartment-related features and a minority of gender- and aging- related features are maintained in vitro which suggested possibilities for these features to be studied in this system. Moreover, our study provides knowledge about the cell-extrinsic or cell-intrinsic origin of intestinal epithelial transcriptional programs. We anticipated that our characterization of this in vitro system is an important reference for scientists and clinicians using intestinal organoids as a research model. |
format |
article |
author |
Jing Lu Anna Krepelova Seyed Mohammad Mahdi Rasa Francesco Annunziata Olena Husak Lisa Adam Suneetha Nunna Francesco Neri |
author_facet |
Jing Lu Anna Krepelova Seyed Mohammad Mahdi Rasa Francesco Annunziata Olena Husak Lisa Adam Suneetha Nunna Francesco Neri |
author_sort |
Jing Lu |
title |
Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling |
title_short |
Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling |
title_full |
Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling |
title_fullStr |
Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling |
title_full_unstemmed |
Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling |
title_sort |
characterization of an in vitro 3d intestinal organoid model by using massive rnaseq-based transcriptome profiling |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/922f51cd44344c1fa5a78e768fd26719 |
work_keys_str_mv |
AT jinglu characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling AT annakrepelova characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling AT seyedmohammadmahdirasa characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling AT francescoannunziata characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling AT olenahusak characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling AT lisaadam characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling AT suneethanunna characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling AT francesconeri characterizationofaninvitro3dintestinalorganoidmodelbyusingmassivernaseqbasedtranscriptomeprofiling |
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1718377396972814336 |