Subtopic Deep Dive
Measles Virus Immune Evasion
Research Guide
What is Measles Virus Immune Evasion?
Measles virus immune evasion encompasses mechanisms by which the virus suppresses innate and adaptive immune responses through V protein-mediated STAT interference and blockade of dendritic cell maturation.
Measles virus V protein disrupts cytokine signaling by interfering with STAT proteins (Palosaari et al., 2003, 282 citations). Infection of dendritic cells blocks their allostimulatory properties for CD4+ T cells (Grosjean et al., 1997, 266 citations). These processes contribute to profound immune suppression observed in measles cases (Griffin, 2010, 193 citations). Over 10 key papers document these interactions.
Why It Matters
Measles-induced immune suppression leads to immune amnesia, increasing susceptibility to secondary infections and contributing to over 1 million annual deaths historically (Palosaari et al., 2003). Understanding V protein functions informs vaccine design against wild-type strains that evade CD46 receptors and target nectin-4 on epithelial cells (Noyce et al., 2011, 477 citations). Insights from macaque models reveal transient T-cell loss mechanisms, guiding elimination strategies (de Vries et al., 2012, 189 citations; Moss and Griffin, 2006, 238 citations).
Key Research Challenges
V Protein STAT Interference
Measles V protein binds STAT proteins to suppress cytokine signal transduction, blocking interferon responses (Palosaari et al., 2003). This evasion persists in wild-type strains unlike vaccine strains. Quantifying binding affinities remains difficult due to structural variability.
Dendritic Cell Maturation Block
Virus infection halts dendritic cell allostimulatory functions, impairing CD4+ T cell activation (Grosjean et al., 1997). Mechanisms involve signaling blockade in primary immune responses. Replicating this in vitro for human cells challenges model fidelity.
Immune Amnesia Mechanisms
Measles causes long-term loss of pre-existing antibodies, termed immune amnesia, via lymphocyte infection (de Vries et al., 2012). Distinguishing direct viral effects from bystander suppression is unresolved. Macaque models highlight T-cell depletion but lack full human parallels (Griffin, 2010).
Essential Papers
Tumor Cell Marker PVRL4 (Nectin 4) Is an Epithelial Cell Receptor for Measles Virus
Ryan S. Noyce, Daniel G. Bondre, Michael N. Ha et al. · 2011 · PLoS Pathogens · 477 citations
Vaccine and laboratory adapted strains of measles virus can use CD46 as a receptor to infect many human cell lines. However, wild type isolates of measles virus cannot use CD46, and they infect act...
STAT Protein Interference and Suppression of Cytokine Signal Transduction by Measles Virus V Protein
Heidi Palosaari, Jean-Patrick Parisien, Jason J. Rodriguez et al. · 2003 · Journal of Virology · 282 citations
ABSTRACT Measles virus, a paramyxovirus of the Morbillivirus genus, is responsible for an acute childhood illness that infects over 40 million people and leads to the deaths of more than 1 million ...
Measles Virus Infects Human Dendritic Cells and Blocks Their Allostimulatory Properties for CD4+ T Cells
Isabelle Grosjean, Christophe Caux, Chantal Bella et al. · 1997 · The Journal of Experimental Medicine · 266 citations
Measles causes a profound immune suppression which is responsible for the high morbidity and mortality induced by secondary infections. Dendritic cells (DC) are professional antigen-presenting cell...
Immunological Findings in Autism
Hari Cohly, Asit Panja · 2005 · International review of neurobiology · 262 citations
Measles
Paul A. Rota, William J. Moss, Makoto Takeda et al. · 2016 · Nature Reviews Disease Primers · 256 citations
Global measles elimination
William J. Moss, Diane E. Griffin · 2006 · Nature Reviews Microbiology · 238 citations
Infection of Monocytes during Measles
Lisa M. Esolen, Brian J. Ward, Thomas R. Moench et al. · 1993 · The Journal of Infectious Diseases · 201 citations
Immune suppression has long been recognized to be a consequence of measles and a likely contributor to the secondary complications of this infection. Since measles virus can be isolated from periph...
Reading Guide
Foundational Papers
Start with Grosjean et al. (1997, 266 citations) for dendritic cell infection basics, then Palosaari et al. (2003, 282 citations) for V protein STAT mechanisms, followed by Noyce et al. (2011, 477 citations) on receptor specificity distinguishing wild-type evasion.
Recent Advances
Study de Vries et al. (2012, 189 citations) for macaque immune amnesia models and Laksono et al. (2016, 189 citations) for host invasion integrating suppression pathways.
Core Methods
Core techniques include primary cell infections for DC assays (Grosjean et al., 1997), co-immunoprecipitation for V-STAT binding (Palosaari et al., 2003), and in vivo macaque challenges tracking lymphocyte depletion (de Vries et al., 2012).
How PapersFlow Helps You Research Measles Virus Immune Evasion
Discover & Search
Research Agent uses citationGraph on Palosaari et al. (2003) to map 282-cited V protein papers, then findSimilarPapers reveals Griffin (2010) connections to suppression reviews. exaSearch queries 'measles V protein STAT dendritic cells' for 50+ OpenAlex results. searchPapers filters wild-type evasion excluding CD46-adapted strains.
Analyze & Verify
Analysis Agent applies readPaperContent to Grosjean et al. (1997) for DC infection details, then verifyResponse with CoVe cross-checks claims against de Vries et al. (2012) macaque data. runPythonAnalysis processes citation networks via pandas for evasion mechanism clustering; GRADE assigns A-grade evidence to V protein STAT claims (Palosaari et al., 2003).
Synthesize & Write
Synthesis Agent detects gaps in nectin-4 vs. CD46 receptor evasion (Noyce et al., 2011), flags contradictions in immune amnesia models. Writing Agent uses latexEditText for review drafts, latexSyncCitations integrates 10 measles papers, latexCompile generates figures; exportMermaid diagrams V protein-STAT pathways.
Use Cases
"Analyze measles V protein binding data from Palosaari 2003 and similar papers for STAT inhibition kinetics."
Research Agent → searchPapers + findSimilarPapers → Analysis Agent → runPythonAnalysis (pandas curve fitting on affinity data) → statistical p-values and matplotlib inhibition plots.
"Compile LaTeX review on measles dendritic cell evasion with citations from Grosjean 1997 and de Vries 2012."
Research Agent → citationGraph → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → camera-ready PDF with diagrams.
"Find code for modeling measles immune suppression in macaque datasets."
Research Agent → paperExtractUrls on de Vries 2012 → Code Discovery → paperFindGithubRepo + githubRepoInspect → Python scripts for T-cell depletion simulations.
Automated Workflows
Deep Research workflow scans 50+ measles papers via searchPapers, structures evasion mechanisms report with GRADE grading on V protein claims. DeepScan applies 7-step CoVe to verify dendritic cell data from Grosjean et al. (1997) against recent models. Theorizer generates hypotheses linking nectin-4 entry (Noyce et al., 2011) to suppression pathways.
Frequently Asked Questions
What defines measles virus immune evasion?
Measles virus evades immunity via V protein interference with STAT-mediated cytokine signaling and infection of dendritic cells that blocks T-cell stimulation (Palosaari et al., 2003; Grosjean et al., 1997).
What are key methods in this research?
Studies use cell infection assays on human dendritic cells, STAT binding pulldowns, and macaque models to quantify suppression (Grosjean et al., 1997; de Vries et al., 2012; Palosaari et al., 2003).
What are the most cited papers?
Top papers include Noyce et al. (2011, 477 citations) on nectin-4 receptors, Palosaari et al. (2003, 282 citations) on V-STAT interference, and Grosjean et al. (1997, 266 citations) on DC blockade.
What open problems exist?
Unresolved issues include precise immune amnesia mechanisms beyond T-cell loss and translation of macaque suppression to human vaccine escape (de Vries et al., 2012; Griffin, 2010).
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Part of the Virology and Viral Diseases Research Guide