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Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease.

2023-09-05

Abstract excerpt

Single cell and spatially resolved ‘omic’ techniques have enabled deep characterization of clinical pathologies that remain poorly understood, providing unprecedented insights into molecular mechanisms of disease. However, transcriptomic platforms are costly, limiting sample size, which increases the possibility of pre-analytical variables such as tissue processing and storage procedures impacting RNA quality and...

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Literature Corpus work
b9efbe1f-4f0a-5a83-b5b7-b5d60721c695
DOI
10.21203/rs.3.rs-3307940/v1
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Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease.DOI 10.21203/rs.3.rs-3307940/v1
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