2019
DOI: 10.1016/j.drudis.2019.08.001
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A human-on-a-chip approach to tackling rare diseases

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Cited by 37 publications
(33 citation statements)
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References 141 publications
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“…Scaling down of bioanalytical activities, in order to decrease production expenses, as well as simplifying transport and saving space in the laboratory has led to a focus on laboratory-on-a-chip technology. Overall, scaling down improves the efficiency of required screening [ 56 , 57 ]. However, this could be complicated by extensive time implications, error-recovery rates, and complex experimental design often involving an error-prone robotic operation.…”
Section: High-throughput Screening (Hts)mentioning
confidence: 99%
“…Scaling down of bioanalytical activities, in order to decrease production expenses, as well as simplifying transport and saving space in the laboratory has led to a focus on laboratory-on-a-chip technology. Overall, scaling down improves the efficiency of required screening [ 56 , 57 ]. However, this could be complicated by extensive time implications, error-recovery rates, and complex experimental design often involving an error-prone robotic operation.…”
Section: High-throughput Screening (Hts)mentioning
confidence: 99%
“…Finding new therapeutics for rare diseases [162,163], which affect a small population, is another expected application for OOC devices in the future. Small market size and high expenses to develop new treatments for rare disease are the main reasons that most pharmaceutical companies are not interested in investing to develop treatments for rare diseases.…”
Section: Discussion and Future Perspectivesmentioning
confidence: 99%
“…Although the research in engineered models of rare diseases is at its preliminary state, there have already been successful pilot studies. For instance, various multi-organ-on-a-chip platforms based on iPSCs and CRISPR technology have been proposed to induce specific mutations in an engineered cell population to study the autoimmune response and to understand the complex mechanism of autoimmune diseases, such as type I diabetes, rheumatoid arthritis, and celiac disease ( de Mello et al, 2019 ). Since the severity of autoimmune diseases varies considerably amongst individuals, the potential to model combinations of genetic, environmental, and cellular components makes multi-organ-on-a-chip platforms uniquely able to determine the most relevant factors in disease progression for specific patients.…”
Section: Tackling Current Biomedical Challenges With Frontier Technologiesmentioning
confidence: 99%