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Cited by 1,354

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Genetic requirements for mycobacterial survival during infection

Open access
Sassetti, Christopher M., Rubin, Eric J.·2003·Proceedings of the National Academy of Sciences

Abstract

Despite the importance of tuberculosis as a public health problem, we know relatively little about the molecular mechanisms used by the causative organism,Mycobacterium tuberculosis, to persist in the host. To define these mechanisms, we have mutated virtually every nonessential gene of M. tuberculosis and determined the effect disrupting each gene on the growth rate of this pathogen during infection. A total of 194 genes that are specifically required for mycobacterial growth in vivo were identified. The behavior of these mutants provides a detailed view of the changing environment that the bacterium encounters as infection proceeds. A surprisingly large fraction of these genes are unique to mycobacteria and closely related species, indicating that many of the strategies used by this unusual group of organisms are fundamentally different from other pathogens.

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Crossref · 10.1073/pnas.2134250100

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Metadata

Authors
Sassetti, C. M., & Rubin, E. J.
Venue
Proceedings of the National Academy of Sciences
Published
2003-10-20
Volume
100
Issue
22
Pages
12989-12994
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2140354550
Cited by
1,354
References
7
FWCI
22.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genetic requirements for mycobacterial survival during infection. https://app.cochat.ai/papers/10.1073/pnas.2134250100
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Sassetti, C. M., & Rubin, E. J. (2003). Genetic requirements for mycobacterial survival during infection. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2134250100

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.