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Jeffrey P. Bond

Researcher at Boston Children's Hospital

Publications -  63
Citations -  3695

Jeffrey P. Bond is an academic researcher from Boston Children's Hospital. The author has contributed to research in topics: DNA glycosylase & Gene. The author has an hindex of 29, co-authored 63 publications receiving 3399 citations. Previous affiliations of Jeffrey P. Bond include University of Vermont.

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The induction of antibody production by IL-6 is indirectly mediated by IL-21 produced by CD4+ T cells.

TL;DR: It is shown that IL-6 is sufficient and necessary to induce IL-21 production by naive and memory CD4+ T cells upon T cell receptor stimulation and could be a potential coadjuvant to enhance humoral immunity.
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A novel human DNA glycosylase that removes oxidative DNA damage and is homologous to Escherichia coli endonuclease VIII

TL;DR: Three new putative human DNA glycosylases are identified that are phylogenetically members of the Fpg/Nei family primarily found in the bacterial kingdom, and one is characterized, hNEI1, and shown to be functionally homologous to bacterial Nei.
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Molecular signatures suggest a major role for stromal cells in development of invasive breast cancer

TL;DR: A mechanistic model that spurs invasion is proposed, that shows breast cancer invasion proceeds through the acquisition of a motile phenotype in tumor epithelial cells and a reactive phenotype in cancer associated fibroblasts.
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TP53 mutations in breast cancer associated with BRCA1 or BRCA2 germ-line mutations: distinctive spectrum and structural distribution.

TL;DR: It is shown that somatic TP53 abnormalities are more common in breast cancer associated with BRCA1 or BRCa2 germ-line mutations than in sporadic breast cancers, and the results suggest that BRC a1/2 mutations influence the type and distribution of TP53 mutations seen in breast cancers.
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Evolutionary conservation and somatic mutation hotspot maps of p53 : correlation with p53 protein structural and functional features

TL;DR: The results indicate that targeting highly conserved regions for mutational and functional analysis may be efficient strategies for the study of cancer-related genes.