ArticleNature communications2020
Immune-profiling of ZIKV-infected patients identifies a distinct function of plasmacytoid dendritic cells for immune cross-regulation.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Interferon lambda signaling to maternal dendritic cells protects against congenital Zika virus infection.bioRxiv : the preprint server for biology · 2026Article
- Aedes aegypti salivary gland extract enhances Zika virus replication through immune modulation.Memorias do Instituto Oswaldo Cruz · 2026Article
- Activation of PD-1/PD-L1 immune checkpoint by Zika virus.PLoS pathogens · 2025Article
- Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution.Nature communications · 2025Article
- Comparing human pediatric immune responses to primary infection with dengue, chikungunya and Zika viruses.Frontiers in immunology · 2025Article
- Congenital Zika Syndrome: Insights from Integrated Proteomic and Metabolomic Analysis.Biomolecules · 2024Article
- Transcriptomic Signatures of Zika Virus Infection in Patients and a Cell Culture Model.Microorganisms · 2024Article
- Zika virus infection in a cell culture model reflects the transcriptomic signatures in patients.bioRxiv : the preprint server for biology · 2024Article
- Immune-profiling of SARS-CoV-2 viremic patients reveals dysregulated innate immune responses.Frontiers in immunology · 2022Article
- Systems Biology Approaches to Understanding the Human Immune System.Frontiers in immunology · 2020Article
- Viral-Immune Cell Interactions at the Maternal-Fetal Interface in Human Pregnancy.Frontiers in immunology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Zika virus (ZIKV) is a mosquito-borne pathogen with increasing public health significance. To characterize immune responses to ZIKV, here we examine transcriptional signatures of CD4 T, CD8 T, B, and NK cells, monocytes, myeloid dendritic cells (mDCs), and plasmacytoid dendritic cells (pDCs) from three individuals with ZIKV infection. While gene expression patterns from most cell subsets display signs of impaired antiviral immune activity, pDCs from infected host have distinct transcriptional response associated with activation of innate immune recognition and type I interferon signaling pathways, but downregulation of key host factors known to support ZIKV replication steps; meanwhile, pDCs exhibit a unique expression pattern of gene modules that are correlated with alternative cell populations, suggesting collaborative interactions between pDCs and other immune cells, particularly B cells. Together, these results point towards a discrete but integrative function of pDCs in the human immune responses to ZIKV infection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.