Evidence map›Paper›PMID 35619149›Full record

ArticleStem cell research & therapy2022

Assay establishment and validation of a high-throughput organoid-based drug screening platform.

Xiaomeng Li, Guoxiang Fu, Long Zhang, Ruoyu Guan, Peiyuan Tang, Jialing Zhang, Xinxin Rao, Shengzhi Chen, Xiaoya Xu, Yi Zhou and 7 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stem cell research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  19. A critical review onFrontiers in cellular and infection microbiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Xiaomeng Li *Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Guoxiang Fu *D1 Medical Technology Company, Shanghai, 201802, China.
Long Zhang *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Ruoyu GuanInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Peiyuan TangInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Jialing ZhangInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Xinxin RaoDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Shengzhi ChenInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Xiaoya XuInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Yi ZhouInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Yun DengDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Tao LvDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Xingfeng HeDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Shaobo MoDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Peiyuan MuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Jianjun GaoInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Guoqiang HuaInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China. guoqianghua@fudan.edu.cn.ORCID 0000-0001-9274-8136
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrganoids are three-dimensional structures that closely recapitulate tissue architecture and cellular composition, thereby holding great promise for organoid-based drug screening. Although growing in three-dimensional provides the possibility for organoids to recapitulate main features of corresponding tissues, it makes it incommodious for imaging organoids in two-dimensional and identifying surviving organoids from surrounding dead cells after organoids being treated by irradiation or chemotherapy. Therefore, significant work remains to establish high-quality controls to standardize organoid analyses and make organoid models more reproducible.

methodsIn this study, the Z-stack imaging technique was used for the imaging of three-dimensional organoids to gather all the organoids' maximum cross sections in one imaging. The combination of live cell staining fluorescent dye Calcein-AM and ImageJ assessment was used to analyze the survival of organoids treated by irradiation or chemotherapy.

resultsWe have established a novel quantitative high-throughput imaging assay that harnesses the scalability of organoid cultures. Using this assay, we can capture organoid growth over time, measure multiple whole-well organoid readouts, and show the different responses to drug treatments.

conclusionsIn summary, combining the Z-stack imaging technique and fluorescent labeling methods, we established an assay for the imaging and analysis of three-dimensional organoids. Our data demonstrated the feasibility of using organoid-based platforms for high-throughput drug screening assays.

Indexed as

High-Throughput Screening AssaysOrganoidsDrug Evaluation, PreclinicalDrug screeningFluorescenceHigh-throughputOrganoidZ-stack

Identifiers

PMID35619149
PMCPMC9137096
OpenAlexW4281550479

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.