Microfluidics in Cell Biology Part C: Microfluidics for Cellular and Subcellular Analysis

Microfluidics in Cell Biology Part A: Microfluidics in Multi-cellular models, Volume 146, a new volume in the Methods in Cell Biology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. Unique to this updated volume are three sections on microfluidics in various mulitcellular models, including microfludics in cell monolayers/spheroids, microfluidics in organ on chips, and microfluidics in model organisms.

Section 1 Microfluidics for cell culture, cell manipulation and cell sorting 1. Viable cell culture in PDMS-based microfluidic devices Melikhan Tanyeri and Savas Tay 2. High-throughput microfluidic single-cell trapping arrays for biomolecular and imaging analysis Xuan Li and Abraham P. Lee 3. Artificial niche microarrays for identifying extrinsic cell-fate determinants Samy Gobaa, Raphael V. Gayet and Matthias P. Lutolf 4. Reconstruction of directed neuronal networks in a microfluidic device with asymmetric microchannels Josquin Courte, Renaud Renault, Audric Jan, Jean-Louis Viovy, Jean-Michel Peyrin and Catherine Villard 5. Single-cell 3D electro-rotation Liang Huang, Peng Zhao, Fei Liang and Wenhui Wang

Section 2 Droplet-based microfluidics 6. Direct quantification of EGFR variant allele frequency in cell-free DNA using a microfluidic-free digital droplet PCR assay Benjamin Demaree, Daniel Weisgerber, Ata Dolatmoradi, Makiko Hatori and Adam R. Abate 7. Quantifying phenotypes in single cells using droplet microfluidics Fengjiao Lyu, Lucas R. Blauch and Sindy K.Y. Tang 8. Modular microfluidics for double emulsion formation Bryant Thompson, Nareh Movsesian, Christine Cheng, Prathamesh Karandikar, Malancha Gupta and Noah Malmstadt 9. Universal anchored-droplet device for cellular bioassays Gabriel Amselem, Sébastien Sart and Charles N. Baroud

Section 3 Microfluidics for cellular analysis 10. Cell biology at the interface of nanobiosensors and microfluidics Nikhil Bhalla, Hung-Ju Chiang and Amy Q. Shen 11. BET-seq: Binding energy topographies revealed by microfluidics and high-throughput sequencing Arjun K. Aditham, Tyler C. Shimko and Polly M. Fordyce