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From Superantigens to “Real” Viral Antigens

Name: From Superantigens to “Real” Viral Antigens
Creator: Marcia A. Blackman
Keywords: 0301 basic medicine, 0303 health sciences, Superantigens, Herpesviridae Infections, Virus Replication, Virus Latency, 3. Good health, Mice, Inbred C57BL, 03 medical and health sciences, Opinions and Reviews

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Apr 2020 English Publisher:Mary Ann Liebert IncJournal:Viral Immunology, volume 33, pages 211-214 (issn: 0882-8245, eissn: 1557-8976,

Authors: Marcia A. Blackman;

doi: 10.1089/vim.2019.0172

pmid: 32286177

pmc: PMC7185356

From Superantigens to “Real” Viral Antigens

- Summary
- Subjects
- Metrics

Abstract

Studies inspired by Dr. Peter Doherty led to over 16 years of research into the mouse gamma-herpesvirus, γHV68, in the Blackman laboratory. Progress on our understanding of γHV68 biology include insight into the establishment of latency, immune control of the acute and latent stages of infection and experimental vaccines, is described here.

Related Organizations

Trudeau Institute
United States

Keywords

Superantigens, Herpesviridae Infections, Virus Replication, Virus Latency, Mice, Inbred C57BL, Opinions and Reviews, Animals, Humans, Virus Activation, Antigens, Viral, Herpesviridae

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average