Evidence map›Paper›PMID 18167562›Full record

ArticlePloS one2008

Probing host pathogen cross-talk by transcriptional profiling of both Mycobacterium tuberculosis and infected human dendritic cells and macrophages.

Ludovic Tailleux, Simon J Waddell, Mattia Pelizzola, Alessandra Mortellaro, Michael Withers, Antoine Tanne, Paola Ricciardi Castagnoli, Brigitte Gicquel, Neil G Stoker, Philip D Butcher and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

112 citing papers in PubMed, 1 synthesis or guideline pooled it, 196 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Innate immune recognition ofCell surface (Amsterdam, Netherlands) · 2025
    Review
  4. Inorganic sulfate is critical forProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Model systems to studyFrontiers in cellular and infection microbiology · 2025
    Review
  6. Article
  7. Pathogens (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Pirates of the haemoglobin.Microbial cell (Graz, Austria) · 2022
    Review
  13. An In Vivo Model of SeparateInternational journal of molecular sciences · 2022
    Article
  14. Dissecting theVaccines · 2022
    Article
  15. Commonalities ofFrontiers in immunology · 2022
    Article
  16. Article
  17. ZnmBio · 2021
    Article
  18. Article
  19. Article
  20. Article

52 more citing papers are in PubMed but not listed here.

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

12 authors at 4 institutions in 3 countries.

Ludovic TailleuxInstitut Pasteur, Unit of Mycobacterial Genetics, Paris, France.
Simon J Waddell
Mattia Pelizzola
Alessandra Mortellaro
Michael Withers
Antoine Tanne
Paola Ricciardi Castagnoli
Brigitte Gicquel
Neil G Stoker
Philip D Butcher
Maria Foti
Olivier Neyrolles
Institut Pasteur · FRUniversity of Milan · ITRoyal Veterinary College · GBSt George's, University of London · GB

Funding

NIAID NIH HHS HHSN266200400091CWellcome Trust 062511Wellcome Trust 080039
6 · The paper itself

Abstract

backgroundTranscriptional profiling using microarrays provides a unique opportunity to decipher host pathogen cross-talk on the global level. Here, for the first time, we have been able to investigate gene expression changes in both Mycobacterium tuberculosis, a major human pathogen, and its human host cells, macrophages and dendritic cells. METHODOLOGY/PRINCIPAL

findingsIn addition to common responses, we could identify eukaryotic and microbial transcriptional signatures that are specific to the cell type involved in the infection process. In particular M. tuberculosis shows a marked stress response when inside dendritic cells, which is in accordance with the low permissivity of these specialized phagocytes to the tubercle bacillus and to other pathogens. In contrast, the mycobacterial transcriptome inside macrophages reflects that of replicating bacteria. On the host cell side, differential responses to infection in macrophages and dendritic cells were identified in genes involved in oxidative stress, intracellular vesicle trafficking and phagosome acidification. CONCLUSIONS/SIGNIFICANCE: This study provides the proof of principle that probing the host and the microbe transcriptomes simultaneously is a valuable means to accessing unique information on host pathogen interactions. Our results also underline the extraordinary plasticity of host cell and pathogen responses to infection, and provide a solid framework to further understand the complex mechanisms involved in immunity to M. tuberculosis and in mycobacterial adaptation to different intracellular environments.

Indexed as

Gene Expression ProfilingTranscription, GeneticDendritic CellsHumansMacrophagesMycobacterium tuberculosis

Identifiers

PMID18167562
PMCPMC2151136
OpenAlexW2047330514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.