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Charles M. Perou

Researcher at University of North Carolina at Chapel Hill

Publications -  645
Citations -  235604

Charles M. Perou is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 156, co-authored 573 publications receiving 202951 citations. Previous affiliations of Charles M. Perou include North Carolina Central University & University of Chicago.

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Assembly-based inference of B-cell receptor repertoires from short read RNA sequencing data with V'DJer.

TL;DR: V’DJer, an assembly-based method that reconstructs adaptive immune receptor repertoires from short-read RNA sequencing data and captures expressed BCR loci from a standard RNA-seq assay is presented.
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Erythropoietin promotes breast tumorigenesis through tumor-initiating cell self-renewal

TL;DR: It is found that EPO promoted tumorigenesis by activating JAK/STAT signaling in breast tumor-initiating cells (TICs) and promoted TIC self renewal and that high levels of endogenous EPO gene expression correlated with shortened relapse-free survival.
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Rho GTPase Transcriptome Analysis Reveals Oncogenic Roles for Rho GTPase-activating Proteins in Basal-like Breast Cancers

TL;DR: It is established that, via the suppression of RhoA, ArhGAP11A and RacGAP1 are both critical drivers of BLBC growth, and proposed that RhoGAPs can act as oncogenes in cancer.
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A framework for transcriptome-wide association studies in breast cancer in diverse study populations

TL;DR: This work provides a framework for TWAS for breast cancer in diverse populations, using data from the Carolina Breast Cancer Study, a population-based cohort that oversampled black women and identifies associations in black women via TWAS that are underpowered in GWAS.
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Predicting Drug Responsiveness in Human Cancers Using Genetically Engineered Mice

TL;DR: Results show that murine-derived gene signatures can predict response even after accounting for common clinical variables and other predictive genomic signatures, suggesting that mice can be used to identify new biomarkers for human patients with cancer.