scispace - formally typeset
A

Alan Ashworth

Researcher at University of California, San Francisco

Publications -  589
Citations -  82138

Alan Ashworth is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 134, co-authored 578 publications receiving 72089 citations. Previous affiliations of Alan Ashworth include Imperial College London & Papworth Hospital.

Papers
More filters
Journal ArticleDOI

Functional analysis of drosophila melanogaster BRCA2 in DNA repair

TL;DR: It is demonstrated that depletion of dmbrca2 from Drosophila cells induces sensitivity to DNA damage induced by irradiation or treatment with hydroxyurea and depletion in cells is synthetically lethal with deficiency in other DNA repair proteins including dmparp.
Journal ArticleDOI

Structure and expression of the gene encoding mouse t-complex polypeptide (Tcp-1).

TL;DR: The results suggest that the expression of the Tcp-1 gene may be regulated spatially and temporally in embryonic and adult mice by transcriptional control or by mRNA stability.
Journal ArticleDOI

Using Functional Genetics to Understand Breast Cancer Biology

TL;DR: How functional genetic studies can help us understand the biology of breast cancer, how it can be used to identify novel targets for breast cancer therapy, and howIt can help in the identification of those patients that are most likely to respond to a given therapy are described.
Journal ArticleDOI

An siRNA screen identifies the GNAS locus as a driver in 20q amplified breast cancer.

TL;DR: The data indicate that amplification of the GNAS locus may contribute to the pathogenesis of breast cancer, and highlight a previously unrecognised role for the GNas XLαs variant in cancer.
Journal ArticleDOI

A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.

Maria Escala-Garcia, +171 more
TL;DR: A network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis is adapted and four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease are identified.