ArticleiScience2018
Digitalized Human Organoid for Wireless Phenotyping.
Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Integrating Human Intestinal Organoids into FDA's New Approach Methodologies for Drug Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Organoid-guided precision hepatology for metabolic liver disease.Journal of hepatology · 2024Review
- En masse organoid phenotyping informs metabolic-associated genetic susceptibility to NASH.Cell · 2022Article
- Intracellular detection and communication of a wireless chip in cell.Scientific reports · 2021Article
- Electrophysiology Read-Out Tools for Brain-on-Chip Biotechnology.Micromachines · 2021Review
- New Modalities of 3D Pluripotent Stem Cell-Based Assays in Cardiovascular Toxicity.Frontiers in pharmacology · 2021Review
- Modeling traumatic brain injury with human brain organoids.Current opinion in biomedical engineering · 2020Article
- Applications of Human Brain Organoids to Clinical Problems.Developmental dynamics : an official publication of the American Association of Anatomists · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Radio frequency identification (RFID) is a cost-effective and durable method to trace and track individual objects in multiple contexts by wirelessly providing digital signals; RFID is thus widely used in many fields. Here, we implement this concept to biological tissues by producing a compact RFID chip-incorporated organoid (RiO). The 0.4 mm RFID chips are reproducibly integrated inside the self-assembling organoids from 10 different induced pluripotent stem cell (iPSC) lines from healthy and diseased donors. We use the digitalized RiO to conduct a phenotypic screen on a pool of RiO, followed by detection of each specific donor in situ. Our proof-of-principle experiments demonstrated that a severely steatotic phenotype could be identified by RFID chip reading and was specific to a genetic disorder of steatohepatitis. Given evolving advancements surrounding RFID technology, the digitalization principle outlined here will expand organoid medicine potential toward drug development, precision medicine, and transplant applications.
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What OpenQuestion holds
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.