P. Cundiff
University of Washington
4 Papers
P. Cundiff is an academic researcher from University of Washington. The author has contributed to research in topics: Gene & Biology. The author has an hindex of 2, co-authored 2 publications.
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Papers
Experimental annotation of the human genome using microarray technology
Daniel D. Shoemaker,Eric E. Schadt,Christopher D. Armour,Yudong D. He,Philip W. Garrett-engele,Paul McDonagh,Patrick M. Loerch,Amy Leonardson,Pek Yee Lum,Guy Cavet,Lani F. Wu,Steven J. Altschuler,Seve Edwards,Jason R. King,J. S. Tsang,Greg Schimmack,Janell M. Schelter,J. Koch,Michael Ziman,Matthew J. Marton,B. Li,P. Cundiff,Thomas R. Ward,John C. Castle,M. Krolewski,Miriam Meyer,Mao Mao,Julja Burchard,Matthew J. Kidd,Hongyue Dai,John W. Phillips,Peter S. Linsley,Roland Stoughton,Stephen W. Scherer,M. S. Boguski +34 more
TL;DR: Using ‘exon’ and ‘tiling’ arrays fabricated by ink-jet oligonucleotide synthesis, an experimental approach is devised to validate and refine computational gene predictions and define full-length transcripts on the basis of co-regulated expression of their exons.
Genetic inheritance of gene expression in human cell lines.
Stephanie A. Monks,Stephanie A. Monks,Amy Leonardson,H. Zhu,P. Cundiff,P. Pietrusiak,Stephen W. Edwards,J. W. Phillips,Alan B. Sachs,Eric E. Schadt +9 more
TL;DR: This work presents the largest survey to date, to the authors' knowledge, of the heritability of gene-expression traits in segregating human populations, and views clusters or networks based on genetic correlation measures and shared QTLs as potentially novel insights into the relationship among genes that may underlie complex traits.
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Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity.
Ivan Carcamo-Orive,Gabriel E. Hoffman,P. Cundiff,Noam D. Beckmann,Sunita L. D’Souza,Joshua W. Knowles,Achchhe Patel,Caroline E. Hendry,Dimitri Papatsenko,Fahim Abbasi,Gerald M. Reaven,Sean Whalen,Philip Lee,Mohammad Shahbazi,Marc Henrion,Kuixi Zhu,Sven Wang,Panos Roussos,Eric E. Schadt,Gaurav Pandey,Rui Chang,Thomas Quertermous,Ihor R. Lemischka +22 more
TL;DR: Hendry et al. as discussed by the authors developed SOPs for the relatively novel Sendai virus infection method for reprogramming; the design and implementation of studies to assess the variation among lines derived from a single donor (which included up to 14 lines per donor and analyses at both the iPSC stage and post-differentiation); and, together with S.L.D. and P.C., contributing to the development of an optimized workflow for the characterization of a large library of human pluripotency markers, the creation and isolation of iPSCs, the active maintenance of databases to catalogue the large number of lines and splits, and the preparation of these cells for RNA-seq analysis to be performed by members of the E.S.
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Characterizing the composition of iPSC derived cells from bulk transcriptomics data with CellMap
Zhengyu Ouyang,Nathanael Bourgeois-Tchir,Eugenia Lyashenko,P. Cundiff,Patrick Cullen,Ravi Challa,Kejie Li,Xinmin Zhang,Fergal Casey,Sandra J. Engle,Baohong Zhang,Maria I. Zavodszky +11 more
TL;DR: In this article , the authors developed CellMap, a computational tool that derives cell type profiles from publicly available single-cell and single-nucleus datasets to infer cell types in bulk RNA-seq data from induced pluripotent stem cell (iPSC) derived cell lines.