J
Jason Mercer
Researcher at University College London
Publications - 79
Citations - 6321
Jason Mercer is an academic researcher from University College London. The author has contributed to research in topics: Virus & Viral entry. The author has an hindex of 33, co-authored 76 publications receiving 5287 citations. Previous affiliations of Jason Mercer include University of Birmingham & Mercer University.
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Journal ArticleDOI
Virus entry by endocytosis.
TL;DR: This review focuses on the cell biology of virus entry and the different strategies and endocytic mechanisms used by animal viruses.
Journal ArticleDOI
Virus entry by macropinocytosis
Jason Mercer,Ari Helenius +1 more
TL;DR: The molecular machinery involved in macropinocytosis is reviewed and what is known about its role in virus entry is described.
Journal ArticleDOI
Vaccinia Virus Uses Macropinocytosis and Apoptotic Mimicry to Enter Host Cells
Jason Mercer,Ari Helenius +1 more
TL;DR: The induction of blebs, the endocytic event, and infection were all critically dependent on the presence of exposed phosphatidylserine in the viral membrane, which suggests that vaccinia virus uses apoptotic mimicry to enter cells.
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Phosphatidylserine is a global immunosuppressive signal in efferocytosis, infectious disease, and cancer
Raymond B. Birge,Sebastian Boeltz,Sushil Kumar,J. Carlson,J. Wanderley,David Calianese,M. Barcinski,Rolf A. Brekken,Xianming Huang,Jeff Hutchins,Bruce Freimark,Cyril Empig,Jason Mercer,Alan J. Schroit,Georg Schett,Martin Herrmann +15 more
TL;DR: The biology of phosphatidylserine is discussed with respect to its role as a global immunosuppressive signal and how PS is exploited to drive diverse pathological processes such as infection and cancer.
Journal ArticleDOI
Quantitative mapping and minimization of super-resolution optical imaging artifacts
Siân Culley,David Albrecht,Caron Jacobs,Pedro M. Pereira,Pedro M. Pereira,Christophe Leterrier,Jason Mercer,Ricardo Henriques,Ricardo Henriques +8 more
TL;DR: NanoJ-SQUIRREL is presented, an ImageJ-based analytical approach that provides quantitative assessment of super-resolution image quality by comparing diffraction-limited images and super- resolution equivalents of the same acquisition volume, and can guide researchers in optimizing imaging parameters.