Evidence map›Paper›PMID 24155975›Full record

ArticlePloS one2013

Use of a capture-based pathogen transcript enrichment strategy for RNA-Seq analysis of the Francisella tularensis LVS transcriptome during infection of murine macrophages.

Zachary W Bent, David M Brazel, Mary B Tran-Gyamfi, Rachelle Y Hamblin, Victoria A VanderNoot, Steven S Branda

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Diverse roles of low-molecular weight thiol GSH inCurrent research in microbial sciences · 2024
    Article
  3. Intracellular Experimental Evolution ofACS infectious diseases · 2023
    Article
  4. Offense and Defense in Granulomatous Inflammation Disease.Frontiers in cellular and infection microbiology · 2022
    Review
  5. Article
  6. Article
  7. Evolution and Conservation ofFrontiers in microbiology · 2020
    Review
  8. Article
  9. Article
  10. Differential Growth ofFrontiers in microbiology · 2017
    Article
  11. Article
  12. Article
  13. Article
  14. Review
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

6 authors.

Zachary W BentSandia National Laboratories, Livermore, California, United States of America.
David M Brazel
Mary B Tran-Gyamfi
Rachelle Y Hamblin
Victoria A VanderNoot
Steven S Branda

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Francisella tularensis is a zoonotic intracellular pathogen that is capable of causing potentially fatal human infections. Like all successful bacterial pathogens, F. tularensis rapidly responds to changes in its environment during infection of host cells, and upon encountering different microenvironments within those cells. This ability to appropriately respond to the challenges of infection requires rapid and global shifts in gene expression patterns. In this study, we use a novel pathogen transcript enrichment strategy and whole transcriptome sequencing (RNA-Seq) to perform a detailed characterization of the rapid and global shifts in F. tularensis LVS gene expression during infection of murine macrophages. We performed differential gene expression analysis on all bacterial genes at two key stages of infection: phagosomal escape, and cytosolic replication. By comparing the F. tularensis transcriptome at these two stages of infection to that of the bacteria grown in culture, we were able to identify sets of genes that are differentially expressed over the course of infection. This analysis revealed the temporally dynamic expression of a number of known and putative transcriptional regulators and virulence factors, providing insight into their role during infection. In addition, we identified several F. tularensis genes that are significantly up-regulated during infection but had not been previously identified as virulence factors. These unknown genes may make attractive therapeutic or vaccine targets.

Indexed as

AnimalsDown-RegulationFrancisella tularensisGene Expression ProfilingGene Expression Regulation, BacterialGenes, BacterialGenomic IslandsHumansMacrophagesMiceRNA, MessengerSequence Analysis, RNATranscription, GeneticTranscriptomeTularemiaUp-RegulationRNA, MessengerVirulence Factors

Identifiers

PMID24155975
PMCPMC3796476

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.