Marcus A. Zachariah
Harvard University
22 Papers
64 Citations
Marcus A. Zachariah is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 7, co-authored 13 publications. Previous affiliations of Marcus A. Zachariah include University of California, San Francisco & University of California, Berkeley.
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Papers
Follicular shuttling of marginal zone B cells facilitates antigen transport.
TL;DR: Marginal zone–follicle shuttling of marginal zone B cells provides an efficient mechanism for systemic antigen capture and delivery to follicular dendritic cells.
Mycophenolic acid inhibits dengue virus infection by preventing replication of viral RNA.
TL;DR: Assessment of the ability of mycophenolic acid (MPA), a drug currently used as an immunosuppressive agent, to inhibit dengue fever antigen expression, RNA replication, and virus production concludes that MPA inhibits flavivirus infection by preventing synthesis and accumulation of viral RNA.
241
HIF1A signaling selectively supports proliferation of breast cancer in the brain
Richard Y. Ebright,Marcus A. Zachariah,Marcus A. Zachariah,Douglas S. Micalizzi,Ben S. Wittner,Kira L. Niederhoffer,Linda T. Nieman,Brian Chirn,Devon F. Wiley,Benjamin Wesley,Brian A. Shaw,Edwin Nieblas-Bedolla,Lian Atlas,Annamaria Szabolcs,Anthony J. Iafrate,Mehmet Toner,David T. Ting,Priscilla K. Brastianos,Daniel A. Haber,Daniel A. Haber,Shyamala Maheswaran +20 more
TL;DR: It is found that cultured circulating tumor cells (CTCs), derived from blood samples of women with advanced breast cancer and directly inoculated into the mouse frontal lobe, exhibit striking differences in proliferative potential in the brain.
Blood-based biomarkers for the diagnosis and monitoring of gliomas.
TL;DR: The ability to obtain serial "liquid biopsies" will provide unique opportunities to study the evolution of tumors and mechanisms of treatment resistance and monitor for mutational changes in response to therapy.
73
A generalized affine gap model significantly improves protein sequence alignment accuracy
TL;DR: Evaluation of alignment quality showed that the generalized affine model aligns fewer residue pairs than the traditional affines but achieves significantly higher per‐residue accuracy, and it is concluded that generalized affines gap costs should be used when alignment accuracy carries more importance than aligned sequence length.