C
Christine P. Tan
Researcher at Cornell University
Publications - 13
Citations - 667
Christine P. Tan is an academic researcher from Cornell University. The author has contributed to research in topics: Parylene & Methylated DNA immunoprecipitation. The author has an hindex of 10, co-authored 13 publications receiving 630 citations.
Papers
More filters
Journal ArticleDOI
Surface engineering and patterning using parylene for biological applications
TL;DR: The emerging role and applications of parylene as a biomaterial for surface chemical modification and a future outlook are reviewed.
Journal ArticleDOI
Single Molecule Epigenetic Analysis in a Nanofluidic Channel
Benjamin Cipriany,Ruqian Zhao,Patrick J. Murphy,S.L. Levy,Christine P. Tan,Harold G. Craighead,Paul D. Soloway +6 more
TL;DR: A method using nanofluidics and multicolor fluorescence microscopy to detect DNA and histones in individual chromatin fragments at about 10 Mbp/min is established and demonstrated its utility for epigenetic analysis by identifying DNA methylation on individual molecules.
Journal ArticleDOI
Prion protein detection using nanomechanical resonator arrays and secondary mass labeling.
Madhukar Varshney,Philip S. Waggoner,Christine P. Tan,Keith L. Aubin,Richard A. Montagna,Harold G. Craighead +5 more
TL;DR: A dynamic resonance-based technique was used to detect prion proteins, which in conformationally altered forms are known to cause neurodegenerative diseases in animals as well as humans.
Journal ArticleDOI
Nanoscale Resolution, Multicomponent Biomolecular Arrays Generated By Aligned Printing With Parylene Peel-Off
TL;DR: This work presents "Print-and-Peel", a high-throughput method to generate multicomponent biomolecular arrays with sub-100 nm nanoscale feature width by performing a second print-run superimposed over the first, thereby extending the multiplexing capability of the technique.
Journal ArticleDOI
Real-time analysis and selection of methylated DNA by fluorescence-activated single molecule sorting in a nanofluidic channel
Benjamin Cipriany,Patrick J. Murphy,James A. Hagarman,Aline Cerf,David R. Latulippe,S.L. Levy,Jaime J. Benítez,Christine P. Tan,Juraj Topolancik,Paul D. Soloway,Harold G. Craighead +10 more
TL;DR: A proof-of-principle demonstration for a new method using a nanofluidic device that combines real-time detection and automated sorting of individual molecules based on their epigenetic state, which provides a workflow for color-multiplexed detection, sorting, and recovery of single molecules toward subsequent DNA sequencing.