ArticlePhysiological genomics2020
Functional genomics analysis of human colon organoids identifies key transcription factors.
Article in Physiological genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- Review
- CFTR Gene Regulation in Human Pancreatic Duct, Bile Duct and Sweat Gland Epithelial Cells.Journal of cellular and molecular medicine · 2025Article
- Single-cell transcriptional analysis of murine norovirus infection in a human intestinal cell line.Journal of virology · 2024Article
- The impact of genomic distance on enhancer-promoter interactions at the CFTR locus.Journal of cellular and molecular medicine · 2024Article
- HIV-1 transmission: modelling and direct visualization in the third dimension.Microscopy (Oxford, England) · 2023Review
- Gene expression in organoids: an expanding horizon.Biology direct · 2023Review
- O-Glycomic and Proteomic Signatures of Spontaneous and Butyrate-Stimulated Colorectal Cancer Cell Line Differentiation.Molecular & cellular proteomics : MCP · 2023Article
- Companion animal organoid technology to advance veterinary regenerative medicine.Frontiers in veterinary science · 2023Review
- Patient-derived organoids for therapy personalization in inflammatory bowel diseases.World journal of gastroenterology · 2022Review
- Article
- The endogenous cellular protease inhibitor SPINT2 controls SARS-CoV-2 viral infection and is associated to disease severity.PLoS pathogens · 2021Article
- Impact of Interleukin 10 Deficiency on Intestinal Epithelium Responses to Inflammatory Signals.Frontiers in immunology · 2021Article
- Impact of KLF4 on Cell Proliferation and Epithelial Differentiation in the Context of Cystic Fibrosis.International journal of molecular sciences · 2020Article
- An American Physiological Society cross-journal Call for Papers on "Deconstructing Organs: Single-Cell Analyses, Decellularized Organs, Organoids, and Organ-on-a-Chip Models".American journal of physiology. Lung cellular and molecular physiology · 2020Article
- Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Organoids are a valuable three-dimensional (3D) model to study the differentiated functions of the human intestinal epithelium. They are a particularly powerful tool to measure epithelial transport processes in health and disease. Though biological assays such as organoid swelling and intraluminal pH measurements are well established, their underlying functional genomics are not well characterized. Here we combine genome-wide analysis of open chromatin by ATAC-Seq with transcriptome mapping by RNA-Seq to define the genomic signature of human intestinal organoids (HIOs). These data provide an important tool for investigating key physiological and biochemical processes in the intestinal epithelium. We next compared the transcriptome and open chromatin profiles of HIOs with equivalent data sets from the Caco2 colorectal carcinoma line, which is an important two-dimensional (2D) model of the intestinal epithelium. Our results define common features of the intestinal epithelium in HIO and Caco2 and further illustrate the cancer-associated program of the cell line. Generation of Caco2 cysts enabled interrogation of the molecular divergence of the 2D and 3D cultures. Overrepresented motif analysis of open chromatin peaks identified caudal type homeobox 2 (CDX2) as a key activating transcription factor in HIO, but not in monolayer cultures of Caco2. However, the CDX2 motif becomes overrepresented in open chromatin from Caco2 cysts, reinforcing the importance of this factor in intestinal epithelial differentiation and function. Intersection of the HIO and Caco2 transcriptomes further showed functional overlap in pathways of ion transport and tight junction integrity, among others. These data contribute to understanding human intestinal organoid biology.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.