Evidence map›Paper›PMID 24599496›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2014

A microfluidic-based genetic screen to identify microbial virulence factors that inhibit dendritic cell migration.

Laura M McLaughlin, Hui Xu, Sarah E Carden, Samantha Fisher, Monique Reyes, Sarah C Heilshorn, Denise M Monack

Open access · bronzeAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 12% of its field
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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. The interplay betweenCell insight · 2025
    Review
  2. Infection biology ofEcoSal Plus · 2024
    Review
  3. Article
  4. Speaking the host language: howMicrobiology (Reading, England) · 2023
    Review
  5. Review
  6. The NEL Family of Bacterial E3 Ubiquitin Ligases.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Molecular Mechanisms ofInfection and drug resistance · 2020
    Review
  11. Microbiology spectrum · 2019
    Review
  12. Review
  13. Article
  14. Multikingdom microscale models.PLoS pathogens · 2017
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Salmonellae interactions with host processes.Nature reviews. Microbiology · 2015
    Review
  20. Article
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

7 authors at 4 institutions in 1 country.

Laura M McLaughlinHoly Names University, 3500 Mountain Blvd., Oakland, CA, USA.
Hui Xu
Sarah E Carden
Samantha Fisher
Monique Reyes
Sarah C Heilshorn
Denise M Monack
Stanford University · USCardiovascular Institute of the South · USHoly Names University · USOakland University · US

Funding

T32 Training Program in Mechanisms and Innovation in Vascular DiseaseT32HL098049 · NHLBI · STANFORD UNIVERSITY · PI Nicholas James Leeper, Philip S Tsao · 2010 to 2026
$6.3M
Engineering 3D in vitro niches to reveal fundamentals of cellular biomechanicsDP2OD006477 · OD · STANFORD UNIVERSITY · PI HEILSHORN, SARAH C · 2009 to 2009
$2.4M
Innate Immune Recognition of Intracellular SalmonellaR01AI089722 · NIAID · STANFORD UNIVERSITY · PI MONACK, DENISE M · 2011 to 2014
$1.6M
NHLBI NIH HHS NIH 1-T32-HL098049NHLBI NIH HHS T32 HL098049NIAID NIH HHS R01 AI089722NIH HHS DP2 OD006477NIH HHS NIH DP2-OD006477
6 · The paper itself

Abstract

Microbial pathogens are able to modulate host cells and evade the immune system by multiple mechanisms. For example, Salmonella injects effector proteins into host cells and evades the host immune system in part by inhibiting dendritic cell (DC) migration. The identification of microbial factors that modulate normal host functions should lead to the development of new classes of therapeutics that target these pathways. Current screening methods to identify either host or pathogen genes involved in modulating migration towards a chemical signal are limited because they do not employ stable, precisely controlled chemical gradients. Here, we develop a positive selection microfluidic-based genetic screen that allows us to identify Salmonella virulence factors that manipulate DC migration within stable, linear chemokine gradients. Our screen identified 7 Salmonella effectors (SseF, SifA, SspH2, SlrP, PipB2, SpiC and SseI) that inhibit DC chemotaxis toward CCL19. This method is widely applicable for identifying novel microbial factors that influence normal host cell chemotaxis as well as revealing new mammalian genes involved in directed cell migration.

Indexed as

AnimalsCell MovementChemokine CCL19Dendritic CellsHost-Pathogen InteractionsMiceMice, 129 StrainMicrofluidicsMicroscopy, FluorescenceMicroscopy, Phase-ContrastSalmonella InfectionsSalmonella typhimuriumSequence DeletionStatistics, NonparametricVirulence FactorsChemokine CCL19Virulence Factors

Identifiers

PMID24599496
PMCPMC4114769
OpenAlexW1976540187

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.