ArticleAnalytical chemistry2019
Photopatterned Membranes and Chemical Gradients Enable Scalable Phenotypic Organization of Primary Human Colon Epithelial Models.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Effect of ECM nanostructures in decellularized small intestine on differentiation of intestinal epithelial model cells.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2025Article
- Standardizing designed and emergent quantitative features in microphysiological systems.Nature biomedical engineering · 2024Review
- The Gut-Organ-Axis Concept: Advances the Application of Gut-on-Chip Technology.International journal of molecular sciences · 2023Review
- Suspended Collagen Hydrogels to Replicate Human Colonic Epithelial Cell Interactions with Immune Cells.Advanced biology · 2022Article
- Morphogen Signals Shaping the Gastric Glands in Health and Disease.International journal of molecular sciences · 2022Review
- Stem/Proliferative and Differentiated Cells within Primary Murine Colonic Epithelium Display Distinct Intracellular Free CaAdvanced healthcare materials · 2021Article
- Magnetically-propelled fecal surrogates for modeling the impact of solid-induced shear forces on primary colonic epithelial cells.Biomaterials · 2021Article
- In vitro generation of self-renewing human intestinal epithelia over planar and shaped collagen hydrogels.Nature protocols · 2021Article
- Microphysiological System Design: Simplicity Is Elegance.Current opinion in biomedical engineering · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Biochemical gradients across the intestinal epithelium play a major role in governing intestinal stem cell compartmentalization, differentiation dynamics, and organ-level self-renewal. However, scalable platforms that recapitulate the architecture and gradients present in vivo are absent. We present a platform in which individually addressable arrays of chemical gradients along the intestinal crypt long axis can be generated, enabling scalable culture of primary in vitro colonic epithelial replicas. The platform utilizes standardized well plate spacing, maintains access to basal and luminal compartments, and relies on a photopatterned porous membrane to act as diffusion windows while supporting the in vitro crypts. Simultaneous fabrication of 3875 crypts over a single membrane was developed. Growth factor gradients were modeled and then experimentally optimized to promote long-term health and self-renewal of the crypts which were assayed in situ by confocal fluorescence microscopy. The cultured in vitro crypt arrays successfully recapitulated the architecture and luminal-to-basal phenotypic polarity observed in vivo. Furthermore, known signaling regulators (e.g., butyrate and DAPT) produced measurable and predictable effects on the organized cell compartments, each decreasing crypt proliferation in the basal regions to negligible values. This platform is readily adaptable to the screening of tissue from individual patients to assay the impact of food and bacterial metabolites and/or drugs on colonic crypt dynamics. Importantly, the cassette is compatible with a wide range of sensing/detection modalities, and the developed fabrication methods should find applications for other cell and tissue types.
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Registered trials
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 OpenQuestion graph.