Source data for the publication: Engineered modular microphysiological models of the human airway clearance phenomena
doi: 10.4121/19923707
CC BY 4.0
This data set contains the source data of the publication: Pedersoli, L., Zhang, S., Briatico-Vangosa, F., Petrini, P., Cardinaels, R., den Toonder, J.M.J. & Peneda Pacheco, D. (2021). Engineered modular microphysiological models of the human airway clearance phenomena. Biotechnol Bioeng. 118, 3898-3913, http://dx.doi.org/10.1002/bit.27866. This work demonstrates ad hoc mucus models of physiological and pathological mucus are combined with magnetic artificial cilia to model mucociliary transport in both physiological and pathological states. The modular concept adopted in this study enables the development of mucociliary clearance models with high versatility since these can be easily modified to reproduce phenomena characteristic of healthy and diseased human airways while allowing to determine the effect of each parameter and/or structure separately on the overall mucociliary transport. The data are experimentally obtained with methods described in the publication.
- 2022-05-30 first online, published, posted
- Bio-Inspired Microfluidics Platform for Biomechanical Analysis (grant code 833214) [more info...] European Research Council
DATA
-
2,225 bytesMD5:
ad80d58bd0c35f327a43f0560aebc4c6readme.txt -
4,920,717 bytesMD5:
08374b81bcd986782c76132de98cab64Pedersoli-2021-Engineered modular microphysiological models of the human airway clearance phenomena.pdf -
513,651 bytesMD5:
e79461919e3c6fc642dc4279c0151819Source Data Fig. 2.xlsx -
2,134 bytesMD5:
f01736d901bef323bdc0f18f1628c846Source Data Fig. 2a.csv -
2,073 bytesMD5:
cc82367a9d67151eb6ab31292f730dbeSource Data Fig. 2b.csv -
475 bytesMD5:
59c52ee13c4f9ad3d86f07a67842db64Source Data Fig. 2c.csv -
472 bytesMD5:
04bbdfa9895df1ba36be5b400a821fe4Source Data Fig. 2d.csv -
319 bytesMD5:
4ddf81a668241fcaed1e031171651f6aSource Data Fig. 2e.csv -
547 bytesMD5:
dfb6f038ba7b5b46d3c403ec45c9e163Source Data Fig. 2f.csv -
428,176 bytesMD5:
c3397e4f647319a3a92797f070ddacc8Source Data Fig. 3.xlsx -
1,165 bytesMD5:
b402fe7ff363df09214d4ba4169981c2Source Data Fig. 3a.csv -
1,173 bytesMD5:
ea56b2690d83f66503446bda61f5d43aSource Data Fig. 3b.csv -
377 bytesMD5:
605bb9c20b70393faa97d34f7cb37ba7Source Data Fig. 3c.csv -
554 bytesMD5:
a97b25339ddc4204cfe56daaf02472f7Source Data Fig. 3d.csv -
165,706 bytesMD5:
d7a4d04565b054197a0c371b318b73f5Source Data Fig. 5.xlsx -
225 bytesMD5:
3ec2e1b526e8833932eb8207ff76b8a2Source Data Fig. 5f.csv -
510 bytesMD5:
168d5633a1aa2210b20c250c1ac4cfecSource Data Fig. 5g.csv -
76,357 bytesMD5:
3061f92438b15ea8bd1cc2da92710e58Source Data Fig. 6.xlsx -
491 bytesMD5:
06c47bfd01d979472f4781eefd870f4fSource Data Fig. 6d.csv -
102,383 bytesMD5:
d39e45a6bef1fa1e0f0331552ed5490cSource Data Fig. 8.xlsx -
431 bytesMD5:
31cf2ddca430db54c91fdce702ce4242Source Data Fig. 8c.csv - download all files (zip)
6,220,161 bytes unzipped
