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Rene S. Hubert

Researcher at University of Southern California

Publications -  103
Citations -  2796

Rene S. Hubert is an academic researcher from University of Southern California. The author has contributed to research in topics: Prostate cancer & Prostate. The author has an hindex of 19, co-authored 103 publications receiving 2673 citations. Previous affiliations of Rene S. Hubert include Cedars-Sinai Medical Center.

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Whole genome amplification from a single cell: implications for genetic analysis

TL;DR: W Whole genome amplification beginning with a single cell, or other samples with very small amounts of DNA, has significant implications for multipoint mapping by sperm or oocyte typing and possibly for genetic disease diagnosis, forensics, and the analysis of ancient DNA samples.
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STEAP: a prostate-specific cell-surface antigen highly expressed in human prostate tumors.

TL;DR: The results support STEAP as a cell-surface tumor-antigen target for prostate cancer therapy and diagnostic imaging and support its role as a channel or transporter protein.
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Catalytic cleavage of the androgen-regulated TMPRSS2 protease results in its secretion by prostate and prostate cancer epithelia.

TL;DR: Immunohistochemical analysis of clinical specimens and specific monoclonal antibodies demonstrate that TMPRSS2 is a secreted protease that is highly expressed in prostate and prostate cancer, making it a potential target for cancer therapy and diagnosis.
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Anti-PSCA mAbs inhibit tumor growth and metastasis formation and prolong the survival of mice bearing human prostate cancer xenografts

TL;DR: These studies suggest PSCA as an attractive target for immunotherapy and demonstrate the therapeutic potential of anti-PSCA mAbs for the treatment of local and metastatic prostate cancer.
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Single sperm analysis of the trinucleotide repeats in the Huntington's disease gene: quantification of the mutation frequency spectrum

TL;DR: The CAG triplet repeat region of the Huntington's disease gene was amplified in 923 single sperm from three affected and two normal individuals and an excellent fit was found when the model specified that a random number of repeats are added during the progression of the polymerase through the repeated region.