CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-07-06
Cited: 0
Clicked: 1650
Citations: Bibtex RefMan EndNote GB/T7714
Qizheng WANG, Jun LU, Ke FAN, Yiwei XU, Yucui XIONG, Zhiyong SUN, Man ZHAI, Zhizhong ZHANG, Sheng ZHANG, Yan SONG, Jianzhong LUO, Mingliang YOU, Meijin GUO, Xiao ZHANG. High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids[J]. Journal of Zhejiang University Science B, 2022, 23(7): 564-577.
@article{title="High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids",
author="Qizheng WANG, Jun LU, Ke FAN, Yiwei XU, Yucui XIONG, Zhiyong SUN, Man ZHAI, Zhizhong ZHANG, Sheng ZHANG, Yan SONG, Jianzhong LUO, Mingliang YOU, Meijin GUO, Xiao ZHANG",
journal="Journal of Zhejiang University Science B",
volume="23",
number="7",
pages="564-577",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2100701"
}
%0 Journal Article
%T High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids
%A Qizheng WANG
%A Jun LU
%A Ke FAN
%A Yiwei XU
%A Yucui XIONG
%A Zhiyong SUN
%A Man ZHAI
%A Zhizhong ZHANG
%A Sheng ZHANG
%A Yan SONG
%A Jianzhong LUO
%A Mingliang YOU
%A Meijin GUO
%A Xiao ZHANG
%J Journal of Zhejiang University SCIENCE B
%V 23
%N 7
%P 564-577
%@ 1673-1581
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2100701
TY - JOUR
T1 - High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids
A1 - Qizheng WANG
A1 - Jun LU
A1 - Ke FAN
A1 - Yiwei XU
A1 - Yucui XIONG
A1 - Zhiyong SUN
A1 - Man ZHAI
A1 - Zhizhong ZHANG
A1 - Sheng ZHANG
A1 - Yan SONG
A1 - Jianzhong LUO
A1 - Mingliang YOU
A1 - Meijin GUO
A1 - Xiao ZHANG
J0 - Journal of Zhejiang University Science B
VL - 23
IS - 7
SP - 564
EP - 577
%@ 1673-1581
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2100701
Abstract: Organoid models are used to study kidney physiology, such as the assessment of nephrotoxicity and underlying disease processes. Personalized human pluripotent stem cell-derived kidney organoids are ideal models for compound toxicity studies, but there is a need to accelerate basic and translational research in the field. Here, we developed an automated continuous imaging setup with the “read-on-ski” law of control to maximize temporal resolution with minimum culture plate vibration. High-accuracy performance was achieved: organoid screening and imaging were performed at a spatial resolution of 1.1 μm for the entire multi-well plate under 3 min. We used the in-house developed multi-well spinning device and cisplatin-induced nephrotoxicity model to evaluate the toxicity in kidney organoids using this system. The acquired images were processed via machine learning-based classification and segmentation algorithms, and the toxicity in kidney organoids was determined with 95% accuracy. The results obtained by the automated “read-on-ski” imaging device, combined with label-free and non-invasive algorithms for detection, were verified using conventional biological procedures. Taking advantage of the close-to-in vivo-kidney organoid model, this new development opens the door for further application of scaled-up screening using organoids in basic research and drug discovery.
[1]BorettoM,MaenhoudtN,LuoXL,et al.,2019.Patient-derived organoids from endometrial disease capture clinical heterogeneity and are amenable to drug screening.Nat Cell Biol,21(8):1041-1051.
[2]BracewellRN,1986.The Fourier Transform and its Applications.McGraw-hill,New York, USA.
[3]CarpenterMK,Frey-VasconcellsJ,RaoMS,2009.Developing safe therapies from human pluripotent stem cells.Nat Biotechnol,27(7):606-613.
[4]ChenCL,MahjoubfarA,TaiLC,et al.,2016.Deep learning in label-free cell classification.Sci Rep,6:21471.
[5]ChougradH,ZouakiH,AlheyaneO,2018.Deep convolutional neural networks for breast cancer screening.Comput Methods Programs Biomed,157:19-30.
[6]CiampiO,IaconeR,LongarettiL,et al.,2016.Generation of functional podocytes from human induced pluripotent stem cells.Stem Cell Res,17(1):130-139.
[7]DaviesJA,2015.Biological techniques: kidney tissue grown from induced stem cells.Nature,526(7574):512-513.
[8]DigbyJLM,VanichapolT,PrzepiorskiA,et al.,2020.Evaluation of cisplatin-induced injury in human kidney organoids.Am J Physiol Renal Physiol,318(4):F971-F978.
[9]DriehuisE,KretzschmarK,CleversH,2020.Establishment of patient-derived cancer organoids for drug-screening applications.Nat Protoc,15(10):3380-3409.
[10]EbertAD,YuJY,RoseFF,et al.,2009.Induced pluripotent stem cells from a spinal muscular atrophy patient.Nature,457(7227):277-280.
[11]FanK,ZhangS,ZhangY,et al.,2017.A machine learning assisted, label-free, non-invasive approach for somatic reprogramming in induced pluripotent stem cell colony formation detection and prediction.Sci Rep,7:13496.
[12]HinchcliffeEH,2005.Using long-term time-lapse imaging of mammalian cell cycle progression for laboratory instruction and analysis.Cell Biol Educ,4(4):284-290.
[13]HosmerDW,LemesbowS,1980.Goodness of fit tests for the multiple logistic regression model.Commun Stat Theory Methods,9(10):1043-1069.
[14]IchimuraH,ShibaY,2017.Recent progress using pluripotent stem cells for cardiac regenerative therapy.Circ J,81(7):929-935.
[15]ImigJD,RyanMJ,2013.Immune and inflammatory role in renal disease.Compr Physiol,3(2):957-976.
[16]JansenJ,SchophuizenCMS,WilmerMJ,et al.,2014.A morphological and functional comparison of proximal tubule cell lines established from human urine and kidney tissue.Exp Cell Res,323(1):87-99.
[17]JonesSA,ShimSH,HeJ,et al.,2011.Fast, three-dimensional super-resolution imaging of live cells.Nat Methods,8(6):499-505.
[18]KoningM,van den BergCW,RabelinkTJ,2020.Stem cell-derived kidney organoids: engineering the vasculature.Cell Mol Life Sci,77(12):2257-2273.
[19]KrizhevskyA,SutskeverI,HintonGE,2012.ImageNet classification with deep convolutional neural networks.Proceedings of the 25th International Conference on Neural Information Processing Systems,Lake Tahoe, p.1097-1105.
[20]LeCun Y, Bengio Y,1995.Convolutional networks for images,speech, andtime-series. In: Arbib MA (Ed.), The Handbook of Brain Theory and Neural Networks.MIT Press,Cambridge, p.1995.
[21]LiyanageT,NinomiyaT,JhaV,et al.,2015.Worldwide access to treatment for end-stage kidney disease: a systematic review.Lancet,385(9981):1975-1982.
[22]LuJ,FanWH,HuangZH,et al.,2022.Automatic system for high-throughput and high-sensitivity diagnosis of SARS-CoV-2.Bioprocess Biosyst Eng,45(3):503-514.
[23]PrzepiorskiA,SanderV,TranT,et al.,2018.A simple bioreactor-based method to generate kidney organoids from pluripotent stem cells.Stem Cell Reports,11(2):470-484.
[24]QianXY,NguyenHN,SongMM,et al.,2016.Brain-region-specific organoids using mini-bioreactors for modeling ZIKV exposure.Cell,165(5):1238-1254.
[25]RonnebergerO,FischerP,BroxT,2015.U-Net: convolutional networks for biomedical image segmentation.International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer,Cham, p.234-241.
[26]SchmuckMR,TemmeT,DachK,et al.,2017.Omnisphero: a high-content image analysis (HCA) approach for phenotypic developmental neurotoxicity (DNT) screenings of organoid neurosphere cultures in vitro.Arch Toxicol,91(4):2017-2028.
[27]ShiYH,InoueH,WuJC,et al.,2017.Induced pluripotent stem cell technology: a decade of progress.Nat Rev Drug Discov,16(2):115-130.
[28]SirenkoO,MitloT,HesleyJ,et al.,2015.High-content assays for characterizing the viability and morphology of 3D cancer spheroid cultures.Assay Drug Dev Technol,13(7):402-414.
[29]StephensDJ,AllanVJ,2003.Light microscopy techniques for live cell imaging.Science,300(5616):82-86.
[30]SuR,XiongSJ,ZinkD,et al.,2016.High-throughput imaging-based nephrotoxicity prediction for xenobiotics with diverse chemical structures.Arch Toxicol,90(11):2793-2808.
[31]SunW,ZhangS,ZhouTC,et al.,2020.Human urinal cell reprogramming: synthetic 3D peptide hydrogels enhance induced pluripotent stem cell population homogeneity.ACS Biomater Sci Eng,6(11):6263-6275.
[32]TasnimF,DengRS,HuM,et al.,2010.Achievements and challenges in bioartificial kidney development.Fibrogenesis Tissue Repair,3:14.
[33]TiongHY,HuangP,XiongSJ,et al.,2014.Drug-induced nephrotoxicity: clinical impact and preclinicalin vitro models.Mol Pharm,11(7):1933-1948.
[34]WangQZ,XiongYC,ZhangS,et al.,2021.The dynamics of metabolic characterization in iPSC-derived kidney organoid differentiationvia a comparative omics approach.Front Genet,12:632810.
[35]WijnenB,PetersenEE,HuntEJ,et al.,2016.Free and open-source automated 3-D microscope.J Microsc,264(2):238-246.
[36]Zuiderveld K,1994.VIII.5.—Contrast limited adaptive histogram equalization. In: Heckbert PS (Ed.), Graphics Gems IV.Academic Press,Boston, p.474-485.
Open peer comments: Debate/Discuss/Question/Opinion
<1>