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pro vyhledávání: '"Marissa Pennell"'
Autor:
Trisha M. Westerhof, Xiaolong Qiu, Kai Kessenbrock, Marissa Pennell, Elliot E. Hui, Brian Luna, Jered B. Haun, Edward L. Nelson, Jeremy A. Lombardo, Hamad Alshetaiwi, Anita Ng
Publikováno v:
Lab on a chip, vol 18, iss 18
Tissues are increasingly being analyzed at the single cell level in order to characterize cellular diversity and identify rare cell types. Single cell analysis efforts are greatly limited, however, by the need to first break down tissues into single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d8bd95db07fc3fabb3eb853166029eb
https://escholarship.org/uc/item/9nj068j7
https://escholarship.org/uc/item/9nj068j7
Publikováno v:
Lab on a Chip. 15:339-350
Tumors tissues house a diverse array of cell types, requiring powerful cell-based analysis methods to characterize cellular heterogeneity and identify rare cells. Tumor tissue is dissociated into single cells by treatment with proteolytic enzymes, fo
Microfluidic channel optimization to improve hydrodynamic dissociation of cell aggregates and tissue
Autor:
Edward L. Nelson, Jered B. Haun, Trisha M. Westerhof, Marissa Pennell, Jeremy A. Lombardo, Pedram P. Pourfard, Pulak Nath, Xiaolong Qiu, Jen-Huang Huang, Katrina M. Henrikson
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Qiu, X; Huang, J-H; Westerhof, TM; Lombardo, JA; Henrikson, KM; Pennell, M; et al.(2018). Microfluidic channel optimization to improve hydrodynamic dissociation of cell aggregates and tissue. SCIENTIFIC REPORTS, 8. doi: 10.1038/s41598-018-20931-y. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/00d4b9pr
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Qiu, X; Huang, J-H; Westerhof, TM; Lombardo, JA; Henrikson, KM; Pennell, M; et al.(2018). Microfluidic channel optimization to improve hydrodynamic dissociation of cell aggregates and tissue. SCIENTIFIC REPORTS, 8. doi: 10.1038/s41598-018-20931-y. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/00d4b9pr
Maximizing the speed and efficiency at which single cells can be liberated from tissues would dramatically advance cell-based diagnostics and therapies. Conventional methods involve numerous manual processing steps and long enzymatic digestion times,