Evidence map›Paper›PMID 21953458›Full record

ArticleThe Journal of biological chemistry2011

Express path analysis identifies a tyrosine kinase Src-centric network regulating divergent host responses to Mycobacterium tuberculosis infection.

Ahmad Faisal Karim, Pallavi Chandra, Aanchal Chopra, Zaved Siddiqui, Ashima Bhaskar, Amit Singh, Dhiraj Kumar

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. AProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Cells · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Down-Regulation of miR-378d Increased Rab10 Expression to Help Clearance ofFrontiers in cellular and infection microbiology · 2020
    Article
  11. RegX3 ActivatesFrontiers in microbiology · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Integrated Multi-Omic Analysis ofFrontiers in microbiology · 2018
    Article
  17. Article
  18. Article
  19. Article
  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.

Ahmad Faisal KarimImmunology Group, International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi 110067, India.
Pallavi Chandra
Aanchal Chopra
Zaved Siddiqui
Ashima Bhaskar
Amit Singh
Dhiraj Kumar

Funding

Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
DBT-Wellcome Trust India Alliance 500034-Z-09-ZNIAID NIH HHS P30 AI027767NIAID NIH HHS P30AI027767
6 · The paper itself

Abstract

Global gene expression profiling has emerged as a major tool in understanding complex response patterns of biological systems to perturbations. However, a lack of unbiased analytical approaches has restricted the utility of complex microarray data to gain novel system level insights. Here we report a strategy, express path analysis (EPA), that helps to establish various pathways differentially recruited to achieve specific cellular responses under contrasting environmental conditions in an unbiased manner. The analysis superimposes differentially regulated genes between contrasting environments onto the network of functional protein associations followed by a series of iterative enrichments and network analysis. To test the utility of the approach, we infected THP1 macrophage cells with a virulent Mycobacterium tuberculosis strain (H37Rv) or the attenuated non-virulent strain H37Ra as contrasting perturbations and generated the temporal global expression profiles. EPA of the results provided details of response-specific and time-dependent host molecular network perturbations. Further analysis identified tyrosine kinase Src as the major regulatory hub discriminating the responses between wild-type and attenuated Mtb infection. We were then able to verify this novel role of Src experimentally and show that Src executes its role through regulating two vital antimicrobial processes of the host cells (i.e. autophagy and acidification of phagolysosome). These results bear significant potential for developing novel anti-tuberculosis therapy. We propose that EPA could prove extremely useful in understanding complex cellular responses for a variety of perturbations, including pathogenic infections.

Indexed as

Gene Expression RegulationAutophagyCell LineHost-Pathogen InteractionsHumansMacrophagesMycobacterium tuberculosissrc-Family KinasesTuberculosissrc-Family Kinases

Identifiers

PMID21953458
PMCPMC3220550

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.