Evidence map›Paper›PMID 28679950›Full record

ArticleJCI insight2017

High-dimensional CyTOF analysis of dengue virus-infected human DCs reveals distinct viral signatures.

Rebecca E Hamlin, Adeeb Rahman, Theodore R Pak, Kevin Maringer, Ignacio Mena, Dabeiba Bernal-Rubio, Uma Potla, Ana M Maestre, Anthony C Fredericks, El-Ad D Amir and 4 more

Abstract read
In one paragraph

Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Dengue virus NS5 degrades ERC1 during infection to antagonize NF-kB activation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Review
  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Rebecca E HamlinDepartment of Microbiology.
Adeeb RahmanHuman Immune Monitoring Core.
Theodore R PakGraduate School of Biomedical Sciences.
Kevin MaringerDepartment of Microbiology.
Ignacio MenaDepartment of Microbiology.
Dabeiba Bernal-RubioDepartment of Microbiology.
Uma PotlaDepartment of Microbiology.
Ana M MaestreDepartment of Microbiology.
Anthony C FredericksDepartment of Microbiology.
El-Ad D AmirHuman Immune Monitoring Core.
Andrew KasarskisGraduate School of Biomedical Sciences.
Irene RamosDepartment of Microbiology.
Miriam MeradGraduate School of Biomedical Sciences.
Ana Fernandez-SesmaDepartment of Microbiology.

Funding

Project 3 - Ex vivo immune profiling of dengue viruses and vaccinesU19AI118610 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JOHNSON, JEFFREY R · 2015 to 2021
$46.6M
MOUNT SINAI MEDICAL SCIENTIST TRAINING PROGRAMT32GM007280 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BARON, MARGARET H · 1985 to 2021
$22.8M
Viral Immunity and VAccination (VIVA) Human Immunology Project Consortium (HIPC)U19AI168631 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ana Fernandez-Sesma, Viviana A Simon · 2022 to 2026
$14.4M
TRAINING PROGRAM: MECHANISMS OF VIRUS-HOST INTERACTIONST32AI007647 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI Domenico Tortorella · 2000 to 2026
$11.5M
ERK control of Dendritic Cell Differentiation, Homeostasis and DiseaseR01CA154947 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CARL E ALLEN, MIRIAM MERAD · 2011 to 2026
$7.0M
MODULATION OF INNATE AND ADAPTIVE IMMUNITY BY DENGUE VIRUSR01AI073450 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FERNANDEZ-SESMA, ANA · 2008 to 2017
$3.3M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
HUMAN TONSIL EXPLANTS AS A NOVEL MODEL FOR STUDYING DENGUE VIRUS INFECTIONR21AI116022 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FERNANDEZ-SESMA, ANA · 2015 to 2016
$461k
Multiscale analysis of immune profiling data from dengue and chikungunya virus infections in humansF30AI122673 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PAK, THEODORE ROBERTSON · 2016 to 2018
$132k
Innate immunity to Dengue Virus vaccine candidates in human ex vivo model systemsF30AI114161 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAMLIN, REBECCA E · 2015 to 2016
$86k
NCI NIH HHS R01 CA154947NIAID NIH HHS F30 AI114161NIAID NIH HHS F30 AI122673NIAID NIH HHS R01 AI073450NIAID NIH HHS R21 AI116022NIAID NIH HHS T32 AI007647NIAID NIH HHS U19 AI118610NIAID NIH HHS U19 AI168631NIGMS NIH HHS T32 GM007280NIH HHS S10 OD018522Wellcome Trust
6 · The paper itself

Abstract

Dengue virus (DENV) is the most prevalent mosquito-borne virus causing human disease. Of the 4 DENV serotypes, epidemiological data suggest that DENV-2 secondary infections are associated with more severe disease than DENV-4 infections. Mass cytometry by time-of-flight (CyTOF) was used to dissect immune changes induced by DENV-2 and DENV-4 in human DCs, the initial targets of primary infections that likely affect infection outcomes. Strikingly, DENV-4 replication peaked earlier and promoted stronger innate immune responses, with increased expression of DC activation and migration markers and increased cytokine production, compared with DENV-2. In addition, infected DCs produced higher levels of inflammatory cytokines compared with bystander DCs, which mainly produced IFN-induced cytokines. These high-dimensional analyses during DENV-2 and DENV-4 infections revealed distinct viral signatures marked by different replication strategies and antiviral innate immune induction in DCs, which may result in different viral fitness, transmission, and pathogenesis.

Indexed as

CytokinesDendritic cellsImmunologyInnate immunityVirology

Identifiers

PMID28679950
PMCPMC5499363

What OpenQuestion holds

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Registered trials

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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.