Polly Fordyce, Ph.D.
Affiliations: | Stanford University, Palo Alto, CA |
Area:
biophysics, single molecules, motor proteins, transcriptionGoogle:
"Polly Fordyce"Mean distance: 15.3 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| Steven M. Block | grad student | 2007 | Stanford | |
| (Single-molecule studies of kinesin family motor proteins.) | ||||
| Joseph DeRisi | post-doc | UCSF (Chemistry Tree) | ||
Children
Sign in to add trainee| Arjun Aditham | grad student | 2015- | Stanford |
| Scott A. Longwell | grad student | 2015- | Stanford (Chemistry Tree) |
| Tyler C. Shimko | grad student | 2015-2020 | Stanford |
| Alexandra Sockell | grad student | 2016-2020 | Stanford (GenetiTree) |
| Adam K. White | post-doc | Stanford |
BETA: Related publications
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Publications
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| Sockell A, Wong W, Longwell S, et al. (2023) A microwell platform for high-throughput longitudinal phenotyping and selective retrieval of organoids. Cell Systems. 14: 764-776.e6 |
| Horton CA, Alexandari AM, Hayes MGB, et al. (2023) Short tandem repeats bind transcription factors to tune eukaryotic gene expression. Science (New York, N.Y.). 381: eadd1250 |
| Alexandari AM, Horton CA, Shrikumar A, et al. (2023) distillation of thermodynamic affinity from deep learning regulatory sequence models of protein-DNA binding. Biorxiv : the Preprint Server For Biology |
| Li Q, van de Groep J, White AK, et al. (2022) Metasurface optofluidics for dynamic control of light fields. Nature Nanotechnology |
| Feng Y, Zhao X, White AK, et al. (2022) A bead-based method for high-throughput mapping of the sequence- and force-dependence of T cell activation. Nature Methods |
| Appel MJ, Longwell SA, Morri M, et al. (2021) uPIC-M: Efficient and Scalable Preparation of Clonal Single Mutant Libraries for High-Throughput Protein Biochemistry. Acs Omega. 6: 30542-30554 |
| Aditham AK, Markin CJ, Mokhtari DA, et al. (2020) High-Throughput Affinity Measurements of Transcription Factor and DNA Mutations Reveal Affinity and Specificity Determinants. Cell Systems |
| Feng Y, White AK, Hein JB, et al. (2020) MRBLES 2.0: High-throughput generation of chemically functionalized spectrally and magnetically encoded hydrogel beads using a simple single-layer microfluidic device. Microsystems & Nanoengineering. 6: 109 |
| Shimko TC, Fordyce PM, Orenstein Y. (2020) DeCoDe: degenerate codon design for complete protein-coding DNA libraries. Bioinformatics (Oxford, England) |
| Fordyce P, Aditham A, Horton C, et al. (2020) Leveraging Microfluidics for High‐Throughput Studies of Transcription Factor/DNA Binding The Faseb Journal. 34: 1-1 |