Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292240848> ?p ?o ?g. }
- W4292240848 endingPage "1975" @default.
- W4292240848 startingPage "1959" @default.
- W4292240848 abstract "In vitro tissue models hold great promise for modeling diseases and drug responses. Here, we used emulsion microfluidics to form micro-organospheres (MOSs), which are droplet-encapsulated miniature three-dimensional (3D) tissue models that can be established rapidly from patient tissues or cells. MOSs retain key biological features and responses to chemo-, targeted, and radiation therapies compared with organoids. The small size and large surface-to-volume ratio of MOSs enable various applications including quantitative assessment of nutrient dependence, pathogen-host interaction for anti-viral drug screening, and a rapid potency assay for chimeric antigen receptor (CAR)-T therapy. An automated MOS imaging pipeline combined with machine learning overcomes plating variation, distinguishes tumorspheres from stroma, differentiates cytostatic versus cytotoxic drug effects, and captures resistant clones and heterogeneity in drug response. This pipeline is capable of robust assessments of drug response at individual-tumorsphere resolution and provides a rapid and high-throughput therapeutic profiling platform for precision medicine." @default.
- W4292240848 created "2022-08-19" @default.
- W4292240848 creator A5001746105 @default.
- W4292240848 creator A5002508553 @default.
- W4292240848 creator A5008322408 @default.
- W4292240848 creator A5008758377 @default.
- W4292240848 creator A5010183731 @default.
- W4292240848 creator A5010536985 @default.
- W4292240848 creator A5011022069 @default.
- W4292240848 creator A5011317445 @default.
- W4292240848 creator A5014944874 @default.
- W4292240848 creator A5016217407 @default.
- W4292240848 creator A5017356686 @default.
- W4292240848 creator A5019094818 @default.
- W4292240848 creator A5023687769 @default.
- W4292240848 creator A5023821870 @default.
- W4292240848 creator A5024994504 @default.
- W4292240848 creator A5026925599 @default.
- W4292240848 creator A5033507494 @default.
- W4292240848 creator A5038963228 @default.
- W4292240848 creator A5046004386 @default.
- W4292240848 creator A5046621496 @default.
- W4292240848 creator A5046678711 @default.
- W4292240848 creator A5047072682 @default.
- W4292240848 creator A5050401175 @default.
- W4292240848 creator A5057490235 @default.
- W4292240848 creator A5059731706 @default.
- W4292240848 creator A5061383620 @default.
- W4292240848 creator A5061575800 @default.
- W4292240848 creator A5062248785 @default.
- W4292240848 creator A5064828779 @default.
- W4292240848 creator A5068468767 @default.
- W4292240848 creator A5069186647 @default.
- W4292240848 creator A5084761745 @default.
- W4292240848 creator A5087000844 @default.
- W4292240848 creator A5087062995 @default.
- W4292240848 creator A5087233492 @default.
- W4292240848 creator A5087992468 @default.
- W4292240848 creator A5088525216 @default.
- W4292240848 creator A5089906166 @default.
- W4292240848 date "2022-09-01" @default.
- W4292240848 modified "2023-10-11" @default.
- W4292240848 title "Rapid tissue prototyping with micro-organospheres" @default.
- W4292240848 cites W1483496013 @default.
- W4292240848 cites W1741548448 @default.
- W4292240848 cites W1980383179 @default.
- W4292240848 cites W2002513358 @default.
- W4292240848 cites W2006887521 @default.
- W4292240848 cites W2015554529 @default.
- W4292240848 cites W2052705131 @default.
- W4292240848 cites W2088245621 @default.
- W4292240848 cites W2737823569 @default.
- W4292240848 cites W2773981699 @default.
- W4292240848 cites W2788735115 @default.
- W4292240848 cites W2799736418 @default.
- W4292240848 cites W2807088563 @default.
- W4292240848 cites W2883907811 @default.
- W4292240848 cites W2885650843 @default.
- W4292240848 cites W2905447079 @default.
- W4292240848 cites W2909163111 @default.
- W4292240848 cites W2942656692 @default.
- W4292240848 cites W2943439515 @default.
- W4292240848 cites W2965589450 @default.
- W4292240848 cites W2978373708 @default.
- W4292240848 cites W2980113327 @default.
- W4292240848 cites W2989369401 @default.
- W4292240848 cites W2994559322 @default.
- W4292240848 cites W2995460694 @default.
- W4292240848 cites W3009070575 @default.
- W4292240848 cites W3016043142 @default.
- W4292240848 cites W3021386253 @default.
- W4292240848 cites W3029618683 @default.
- W4292240848 cites W3033755050 @default.
- W4292240848 cites W3042690990 @default.
- W4292240848 cites W3044416430 @default.
- W4292240848 cites W3049015295 @default.
- W4292240848 cites W3115787212 @default.
- W4292240848 cites W3163034682 @default.
- W4292240848 cites W3164073476 @default.
- W4292240848 cites W3197623106 @default.
- W4292240848 cites W3199131132 @default.
- W4292240848 cites W4200579603 @default.
- W4292240848 cites W4225318180 @default.
- W4292240848 cites W643821802 @default.
- W4292240848 doi "https://doi.org/10.1016/j.stemcr.2022.07.016" @default.
- W4292240848 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35985334" @default.
- W4292240848 hasPublicationYear "2022" @default.
- W4292240848 type Work @default.
- W4292240848 citedByCount "7" @default.
- W4292240848 countsByYear W42922408482022 @default.
- W4292240848 countsByYear W42922408482023 @default.
- W4292240848 crossrefType "journal-article" @default.
- W4292240848 hasAuthorship W4292240848A5001746105 @default.
- W4292240848 hasAuthorship W4292240848A5002508553 @default.
- W4292240848 hasAuthorship W4292240848A5008322408 @default.
- W4292240848 hasAuthorship W4292240848A5008758377 @default.
- W4292240848 hasAuthorship W4292240848A5010183731 @default.
- W4292240848 hasAuthorship W4292240848A5010536985 @default.