Carl L. Hansen, Ph.D.

Affiliations: 
2004 Applied Physics California Institute of Technology, Pasadena, CA 
Area:
General Biophysics
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"Carl Hansen"
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Parents

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Stephen R Quake grad student 2004 Caltech
 (Microfluidic technologies for structural biology.)
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Publications

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Laks E, McPherson A, Zahn H, et al. (2019) Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing. Cell. 179: 1207-1221.e22
Knapp DJHF, Hammond CA, Wang F, et al. (2019) A topological view of human CD34+ cell state trajectories from integrated single-cell output and proteomic data. Blood
Knapp DJHF, Hammond CA, Hui T, et al. (2018) Single-cell analysis identifies a CD33 subset of human cord blood cells with high regenerative potential. Nature Cell Biology. 20: 710-720
VanInsberghe M, Zahn H, White AK, et al. (2018) Highly multiplexed single-cell quantitative PCR. Plos One. 13: e0191601
Wu A, Hanyang L, Rothe K, et al. (2018) Global Transcriptome Profiling Identifies a Key Mir-185-PAK6 Axis That Promotes Survival of Leukemic Stem Cells and Drug-Insensitive Blasts in BCR-ABL+ Human Leukemia Blood. 132: 931-931
Zahn H, Steif A, Laks E, et al. (2017) Scalable whole-genome single-cell library preparation without preamplification. Nature Methods
Eaves C, Knapp D, Hammond C, et al. (2017) Molecular and biological analysis of human hematopoietic stem cells at single-cell resolution Experimental Hematology. 53: S24
Leung K, Klaus A, Lin BK, et al. (2016) Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates. Proceedings of the National Academy of Sciences of the United States of America
Sikorski DJ, Caron NJ, VanInsberghe M, et al. (2015) Clonal analysis of individual human embryonic stem cell differentiation patterns in microfluidic cultures. Biotechnology Journal. 10: 1546-54
Lin H, Zeng J, Rothe K, et al. (2015) Identification and Characterization of New Microrna Biomarkers and Target Genes in Drug-Insensitive CD34+ CML Stem/Progenitor Cells Using Global Comparative RNA-Seq Analyses Blood. 126: 1567-1567
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