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Systematic, multiparametric analysis of Mycobacterium tuberculosis intracellular infection offers insight into coordinated virulence
Open accessAbstract
A key to the pathogenic success of Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis, is the capacity to survive within host macrophages. Although several factors required for this survival have been identified, a comprehensive knowledge of such factors and how they work together to manipulate the host environment to benefit bacterial survival are not well understood. To systematically identify Mtb factors required for intracellular growth, we screened an arrayed, non-redundant Mtb transposon mutant library by high-content imaging to characterize the mutant-macrophage interaction. Based on a combination of imaging features, we identified mutants impaired for intracellular survival. We then characterized the phenotype of infection with each mutant by profiling the induced macrophage cytokine response. Taking a systems-level approach to understanding the biology of identified mutants, we performed a multiparametric analysis combining pathogen and host phenotypes to predict functional relationships between mutants based on clustering. Strikingly, mutants defective in two well-known virulence factors, the ESX-1 protein secretion system and the virulence lipid phthiocerol dimycocerosate (PDIM), clustered together. Building upon the shared phenotype of loss of the macrophage type I interferon (IFN) response to infection, we found that PDIM production and export are required for coordinated secretion of ESX-1-substrates, for phagosomal permeabilization, and for downstream induction of the type I IFN response. Multiparametric clustering also identified two novel genes that are required for PDIM production and induction of the type I IFN response. Thus, multiparametric analysis combining host and pathogen infection phenotypes can be used to identify novel functional relationships between genes that play a role in infection.
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![Fig 3 PDIM production and export is required for induction of the macrophage type I IFN response. (A) Measurement of macrophage CCL5 production after infection with Mtb strains. J774.A1 cells were infected with wild-type Mtb strains or transposon mutants at an MOI of 1:1. Supernatants were harvested at 48 or 72 hours after infection for cytokine quantitation using Luminex. Mean +/- SD of three biological replicates. (B-D) The type I IFN response was measured by quantitation of expression of the type I IFN-responsive gene ifit2 expression after macrophage infection with Mtb. Bone marrow-derived macrophages were infected with the indicated Mtb strains at an MOI of 2:1 and RNA was harvested at 24 hours for gene expression analysis by qRT-PCR. (B) Transposon mutants across the PDIM locus, including synthetic function mutants (ppsC, ppsD, mas), transport mutants (drrA, drrB, drrC, mmpL7), and acyl activating mutants (fadD28) failed to induce expression of type I IFN-responsive gene ifit2. P-value by two-tailed t-test for comparisons of Rv with Tn mutants in eccCb1, eccCa1, ppsC, ppsD, drrA, drrB, drrC, papA5, mas, fadD28, and fadD22 were < 0.05, for the comparison of Rv and mmpL7 was 0.05, and for the comparison of Rv with lppX, pks15, Rv2949c, and mutT4 were non-significant. (C) A drrC transposon mutant was complemented with tetracycline-inducible, chromosomally-integrated drrC; drrC expression was induced with 50ng/ml or 100ng/ml aTc. While in the absence of inducer ifit2 expression was substantially decreased relative to wild-type-infected macrophages, induction of drrC expression with aTc restored ifit2 expression. Two-tailed t-test p-value for the comparison of Rv with Tn::drrC and Tn::drrC::ptet-drrC 0 ng/ml aTc was < 0.01. (D) Infection with wild-type H37Rv, ppsD point mutant ppsD(G44C) that fails to produce PDIM, or complemented mutants ppsD(G44C)rev and ppsD(G44C)::pMVppsD. While loss of functional ppsD in the mutant resulted in loss of ifit2 expression, restoring ppsD function restored ifit2 production. Two-tailed t-test p-value for the comparison of Rv with ppsDmut was < 0.05. (B-D) Mean +/- SD of biological duplicates. (E) Microscopy of macrophages infected with PDIM mutant and complemented strains demonstrates that complementation restores wild-type image analysis phenotypes. J774A.1 macrophages were infected with wild-type, PDIM mutant, or complemented strains. After 3 days of infection, cells were washed, fixed, and stained with DAPI to visualize macrophage nuclei and auramine-rhodamine to visualize Mtb. Cells were imaged and CellProfiler automated image analysis was used [29] to quantitate bacterial fluorescent intensity, percent macrophages infected, and macrophage cell count. Mean +/- SD of six biological replicates.](/paper-figures/9c74d0af1e5f4dd7939668b3536accca/systematic-multiparametric-analysis-of-mycobacterium-tuberculosis-intracellular-figure-3.jpg)
![Fig 4 PDIM facilitates phagosome permeabilization and is required for coordinated ESX-1-mediated secretion. (A) Bone marrow-derived macrophages were infected with wild-type Mtb, a ppsD clean deletion strain (ΔppsD), ΔppsD complemented with ppsD, or the ΔppsD expressing listeriolysin O (hly) at an MOI of 2:1. RNA was harvested at 24 hours for gene expression analysis by qRT-PCR. Hly-mediated mediated phagosomal permeabilization restores the type I IFN response in the PDIM mutant. Mean +/- SD of biological duplicates. Two-tailed t-test p-value for the comparison of Rv with ΔppsD was < 0.001 and for the comparison of Rv with ΔppsD::hly was non-significant. (B) Western blot analysis of ESAT-6 and CFP-10 secretion in PDIM mutants. Supernatants from wild-type, ESX-1 mutant (Tn::eccCa1), or PDIM mutants and complements were harvested, concentrated, and probed for ESAT-6, CFP-10, antigen 85 (Sec-secreted control), and GroEL (lysis control). Corresponding pellets were simultaneously lysed and probed for ESAT- or CFP-10 (production control) and GroEL (loading control). Disruption of drrC results in loss of ESAT-6 and CFP-10 secretion; inducibly restoring drrC expression with 50ng/ml aTc restores ESAT-6 and CFP-10 secretion. Loss of ppsD function due to a point mutation in the active site (ppsD(G44C)) similarly results in loss of ESAT-6 secretion, but results in enhanced CFP-10 secretion. Reversion of the mutation back to wild-type ppsD(G44C)rev restores the wild-type phenotype. (C) Western blot analysis of ESX-5 secretion of EsxN and PPE41 in the ppsD point mutant and drrC transposon mutant. Supernatants from phosphate-starved wild-type or PDIM mutant and complement were harvested, concentrated, and probed for ESX-5 substrates EsxN or PPE41 and GroEL (lysis control). Supernatant from an ESX-5 hypersecreter strain (ΔpstA1) was used for definitive band identification [40]. Loss of ppsD function due to the G44C active site point mutation or loss of drrC function in the transposon mutant leads to significant loss of secretion of ESX-5 substrates PPE41 and EsxN. In both cases, secretion of EsxN and PPE41 is restored with complementation. Pellets below demonstrate that the ppsD mutant and drrC transposon mutant do not have a defect in EsxN or PPE41 production.](/paper-figures/3123c535e7bc44858cf210cb772ed483/systematic-multiparametric-analysis-of-mycobacterium-tuberculosis-intracellular-figure-4.jpg)

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“The DosR system activates transcription of hrp1, a PDIM synthesis factor113, during short-term and long-term oxygen deprivation57,115.”
From The mycobacterial cell envelope — a moving target (2020) · cites this paper as [113]
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“PDIM may also facilitate phagosomal rupture and induction of the infection-promoting type I interferon response113,114.”
From The mycobacterial cell envelope — a moving target (2020) · cites this paper as [113]
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“However, ESX-1 is not the only factor involved in the process; it has been shown that besides ESX-1, the mycobacterial virulence lipids phthiocerol dimycocerosates also contribute to phagosomal rupture (76)(77)(78).”
From ESX/Type VII Secretion Systems—An Important Way Out for Mycobacterial Proteins (2019) · cites this paper as [78]
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Cites
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Carpenter, A. E., Jones, T. R., Lamprecht, M. R., Clarke, C., Kang, I. H., Friman, O., Guertin, D. A., Chang, J. H., Lindquist, R. A., Moffat, J., et al. (2006) · Genome biology · doi:10.1186/gb-2006-7-10-r100 · Cited by 5,212
Self-citationMycobacterial persistence requires the utilization of host cholesterol
Pandey, A. K., & Sassetti, C. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0711159105 · Cited by 1,064
Inhibition of Respiration by Nitric Oxide Induces a Mycobacterium tuberculosis Dormancy Program
Voskuil, M. I., Schnappinger, D., Visconti, K. C., Harrell, M. I., Dolganov, G., Sherman, D. R., & Schoolnik, G. K. (2003) · The Journal of Experimental Medicine · doi:10.1084/jem.20030205 · Cited by 975
Host-directed therapy of tuberculosis based on interleukin-1 and type I interferon crosstalk
Mayer-Barber, K. D., Andrade, B. B., Oland, S. D., Amaral, E. P., Barber, D. L., Gonzales, J., Derrick, S. C., Shi, R., Kumar, N. P., Wei, W., et al. (2014) · Nature · doi:10.1038/nature13489 · Cited by 757
Complex lipid determines tissue-specific replication of Mycobacterium tuberculosis in mice
Cox, J. S., Chen, B., McNeil, M., & Jacobs, W. R. (1999) · Nature · doi:10.1038/47042 · Cited by 746
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Sherman, D. R., Voskuil, M. I., Schnappinger, D., Liao, R., Harrell, M. I., & Schoolnik, G. K. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.121172498 · Cited by 735
Pym, A. S., Brodin, P., Brosch, R., Huerre, M., & Cole, S. T. (2002) · Molecular Microbiology · doi:10.1046/j.1365-2958.2002.03237.x · Cited by 729
Park, H., Guinn, K. M., Harrell, M. I., Liao, R., Voskuil, M. I., Tompa, M., Schoolnik, G. K., & Sherman, D. R. (2003) · Molecular Microbiology · doi:10.1046/j.1365-2958.2003.03474.x · Cited by 712
Strong, M., Sawaya, M. R., Wang, S., Phillips, M. L., Cascio, D., & Eisenberg, D. S. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602606103 · Cited by 704
Genome-wide requirements for Mycobacterium tuberculosis adaptation and survival in macrophages
Rengarajan, J., Bloom, B. R., & Rubin, E. J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503272102 · Cited by 679
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Quezada, L. A. L., Smith, R. L., Lupoli, T. J., Edoo, Z., Li, X., Gold, B. S., Roberts, J., Ling, Y., Park, S. W., Nguyen, Q., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01248 · Cited by 18
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Jani, C., Jain, N., Marsh, A. K., Uchil, P., Doan, T., Hudspith, M., Glover, O. T., Baskir, Z. R., Boucau, J., Root, D. E., et al. (2025) · Science Advances · doi:10.1126/sciadv.adr6166 · Cited by 16
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Self-citationLan, S., Li, Z., Hao, H., Liu, S., Huang, Z., Bai, Y., Li, Y., Yan, X., Gao, P., Chen, S., et al. (2023) · The FASEB Journal · doi:10.1096/fj.202300678r · Cited by 14
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Elliott, S. R., White, D. W., & Tischler, A. D. (2018) · Infection and Immunity · doi:10.1128/iai.00660-18 · Cited by 14
Self-citationAylan, B., Botella, L., Gutierrez, M. G., & Santucci, P. (2022) · FEBS Open Bio · doi:10.1002/2211-5463.13537 · Cited by 14
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Perret, A., Michard, C., Moreau, D., & Soldati, T. (2026) · doi:10.1002/9781394232413.ch7 · Cited by 3
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Wang, H., Li, D., Li, S., Chao Hui, Z. H. O. U., Huang, X., Huang, W., Niu, C., Ding, C., Song, J., Zhou, S., et al. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.146193 · Cited by 2
Ge, G., Cheng, Z., Xu, J., Yue, B., Hou, H., Liu, Y., Zhu, C., Ge, H., Shi, S., Li, J., et al. (2026) · BMC Genomics · doi:10.1186/s12864-026-12540-1 · Cited by 1
Blanco, F. L., Vázquez, C. L., Bigi, M. M., Rocha, R. V., García, E. A., & Bigi, F. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27094099 · Cited by 1
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Boyang, H., Yangyanqiu, W., Wenting, R., Chenxin, Y., Chu, J., Zhanbo, Q., Yanjun, Y., Qiang, Y., & Han, S. (2023) · Biotechnology Journal · doi:10.1002/biot.202300170 · Cited by 2
Zhao, X., Bao, Y., Wang, L., Qian, W. P., & Sun, J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/611434 · Cited by 1
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Sridhar, S., Forrest, S., Warne, B., Maes, M., Baker, S. G., Gordon Dougan, B., & Scott, J. B. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.11.426307 · Cited by 1
Wang, H., Wen, X., Huang, W., Li, D., Huang, X., Zhou, C., Niu, C., Du, D., Song, J., Song, Y., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3741239 · Cited by 1
Metadata
- Authors
- Barczak, A. K., Avraham, R., Singh, S., Luo, S. S., Zhang, W. R., Bray, M.-A., Hinman, A. E., Thompson, M., Nietupski, R. M., Golas, A., Montgomery, P., Fitzgerald, M., Smith, R. S., White, D. W., Tischler, A. D., Carpenter, A. E., & Hung, D. T.
- Affiliations
- Broad Institute (US)
- Harvard University (US)
- University of Minnesota (US)
- Corresponding author
- Hung, Deborah T.
- ORCID
- Venue
- PLOS Pathogens
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-05-15
- Volume
- 13
- Issue
- 5
- Pages
- e1006363
- ISSN
- 1553-7366 (ISSN-L)
- 1553-7374
- PMC
- PMC5444860
- OpenAlex
- W2615762114
- Cited by
- 120
- References
- 62
- Citations by year
- 2026: 16 · 2025: 14 · 2024: 11 · 2023: 14 · 2022: 12 · 2021: 10 · 2020: 14 · 2019: 13 · 2018: 12 · 2017: 4
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Update notices
- new_version (2017-05-25)
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Pathogens (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Institute of Allergy and Infectious Diseases (K08-AI080944)
- Massachusetts General Hospital (Claflin Award)
- Ragon Institute (TB Seed Grant)
- Broad Institute Tuberculosis Donor Group and Pershing Square Foundation
- Harvard University Center for AIDS Research (US) (P30-AI060354)
- Massachusetts General Hospital Department of Medicine (Pingree Transformative Scholar Award)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
- Health Sciences › Medicine › Infectious Diseases › Infectious Diseases and Tuberculosis
- Keywords
- Mycobacterium tuberculosis, intracellular survival, macrophages, virulence factors, ESX-1 secretion system, phthiocerol dimycocerosate, type I interferon response, transposon mutant library, high-content imaging, macrophage cytokine response, tuberculosis pathogenesis
- MeSH terms
- Animals, Antigens, Bacterial, Bacterial Proteins, Cell Line, Macrophages, Mutation, Mycobacterium tuberculosis, Phagosomes, Phenotype, Tuberculosis, Virulence, Gene Library, Cytokines, Mice, Host-Pathogen Interactions
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