| Title |
Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, May 2017
|
| DOI | 10.1073/pnas.1618239114 |
| Pubmed ID | |
| Authors | |
| Abstract |
The spatial presentation of mechanical information is a key parameter for cell behavior. We have developed a method of polymerization control in which the differential diffusion distance of unreacted cross-linker and monomer into a prepolymerized hydrogel sink results in a tunable stiffness gradient at the cell-matrix interface. This simple, low-cost, robust method was used to produce polyacrylamide hydrogels with stiffness gradients of 0.5, 1.7, 2.9, 4.5, 6.8, and 8.2 kPa/mm, spanning the in vivo physiological and pathological mechanical landscape. Importantly, three of these gradients were found to be nondurotactic for human adipose-derived stem cells (hASCs), allowing the presentation of a continuous range of stiffnesses in a single well without the confounding effect of differential cell migration. Using these nondurotactic gradient gels, stiffness-dependent hASC morphology, migration, and differentiation were studied. Finally, the mechanosensitive proteins YAP, Lamin A/C, Lamin B, MRTF-A, and MRTF-B were analyzed on these gradients, providing higher-resolution data on stiffness-dependent expression and localization. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 31% |
| Australia | 5 | 17% |
| Mexico | 1 | 3% |
| Germany | 1 | 3% |
| France | 1 | 3% |
| Denmark | 1 | 3% |
| Austria | 1 | 3% |
| Portugal | 1 | 3% |
| United Kingdom | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
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| Members of the public | 13 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 633 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 179 | 28% |
| Researcher | 66 | 10% |
| Student > Master | 63 | 10% |
| Student > Bachelor | 52 | 8% |
| Student > Doctoral Student | 35 | 6% |
| Other | 85 | 13% |
| Unknown | 156 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 123 | 19% |
| Biochemistry, Genetics and Molecular Biology | 98 | 15% |
| Agricultural and Biological Sciences | 54 | 8% |
| Materials Science | 52 | 8% |
| Chemical Engineering | 23 | 4% |
| Other | 89 | 14% |
| Unknown | 197 | 31% |