TB Genome Annotation Portal

Rv1942c (mazF5)

Amino Acid Sequence

VTALPARGEVWWCEMAEIGRRPVVVLSRDAAIPRLRRALVAPCTTTIRGLASEVVLEPGSDPIPRRSAVNLDSVESVSVAVLVNRLGRLADIRMRAICTA
LEVAVDCSR
(Nucleotide sequence available on KEGG)

Additional Information



ESSENTIALITY

MtbTnDB - interactive tool for exploring a database of published TnSeq datasets for Mtb

TnSeqCorr - genes with correlated TnSeq profiles across >100 conditions *new*

Classification Condition Strain Method Reference Notes
Too-Short Sodium Oleate H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: -1.000000;
2 non-insertions in a row out of 2 sites
Too-Short Lignoceric Acid H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: -1.000000;
2 non-insertions in a row out of 2 sites
Too-Short Phosphatidylcholine H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: -1.000000;
2 non-insertions in a row out of 2 sites
Too-Short minimal media + 0.1% glycerol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: -1.000000;
1 non-insertions in a row out of 2 sites
Too-Short minimal media + 0.01% cholesterol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: -1.000000;
1 non-insertions in a row out of 2 sites
No-Data 7H10-glycerol H37RvMA TraSH Sassetti et al. (2003a)
Too-Short C57BL/6J mice (8 weeks) H37RvMA TraSH Sassetti et al. (2003b) Hybridization Ratio: -1
Non-Essential 7H09/7H10 + rich media H37RvMA MotifHMM DeJesus et al. (2017) Fully saturated (14 reps).

TnSeq Data No data currently available.
  • No TnSeq data currently available for this Target.
RNASeq Data No data currently available.
  • No RNA-Seq data currently available for this Target.
Metabolomic Profiles No data currently available.
  • No Metabolomic data currently available for this Target.
Proteomic Data No data currently available.
  • No Proteomic data currently available for this Target.

Regulatory Relationships from Systems Biology
  • BioCyc

    Gene interactions based on ChIPSeq and Transcription Factor Over-Expression (TFOE) (Systems Biology)

    NOTE: Green edges represent the connected genes being classified as differentially essential as a result of the middle gene being knocked out. These interactions are inferred based on RNASeq.

    Interactions based on ChIPSeq data

    RNA processing and modification
    Energy production and conversion
    Chromatin structure and dynamics
    Amino acid transport and metabolism
    Cell cycle control, cell division, chromosome partitioning
    Carbohydrate transport and metabolism
    Nucleotide transport and metabolism
    Lipid transport and metabolism
    Coenzyme transport and metabolism
    Transcription
    Translation, ribosomal structure and biogenesis
    Cell wall/membrane/envelope biogenesis
    Replication, recombination and repair
    Posttranslational modification, protein turnover, chaperones
    Cell motility
    Secondary metabolites biosynthesis, transport and catabolism
    Inorganic ion transport and metabolism
    Function unknown
    General function prediction only
    Intracellular trafficking, secretion, and vesicular transport
    Signal transduction mechanisms
    Extracellular structures
    Defense mechanisms
    Nuclear structure
    Cytoskeleton
  • BioCyc Co-regulated genes based on gene expression profiling (Systems Biology, Inferelator Network)
  • Differentially expressed as result of RNASeq in glycerol environment (Only top 20 genes shown sorted by log fold change with p_adj 0.05).
    Conditionally essential as result of TNSeq (Only top 20 genes shown sorted by log fold change with p_adj 0.05).
  • BioCyc Transcription factor binding based on ChIP-Seq (Systems Biology)
  • Interactions based on ChIPSeq data (Minch et al. 2014)

    Interactions based on TFOE data (Rustad et al. 2014)



    TBCAP

    Tubculosis Community Annotation Project (
    Slayden et al., 2013)

    Rv1942c (mazF5)

    PropertyValueCreatorEvidencePMIDComment
    InteractionRegulatory Rv1943cshahanup86IPIAffinity purification (Physical interaction)
    authors,HR. Ramage,LE. Connolly,JS. Cox Comprehensive functional analysis of Mycobacterium tuberculosis toxin-antitoxin systems: implications for pathogenesis, stress responses, and evolution. PLoS Genet. 2009
    CitationThe PIN-domain toxin-antitoxin array in mycobacteria. authors,VL. Arcus,PB. Rainey,SJ. Turner Trends Microbiol. 2005shahanup86IPI15993073Affinity purification (Physical interaction)
    InteractionRegulatory Rv1943cshahanup86IPIAffinity purification (Physical interaction)
    authors,VL. Arcus,PB. Rainey,SJ. Turner The PIN-domain toxin-antitoxin array in mycobacteria. Trends Microbiol. 2005
    InteractionRegulatory Rv1943cshahanup86IPIAffinity purification (Physical interaction)
    authors,HR. Ramage,LE. Connolly,JS. Cox Comprehensive functional analysis of Mycobacterium tuberculosis toxin-antitoxin systems: implications for pathogenesis, stress responses, and evolution. PLoS Genet. 2009
    InteractionRegulatory Rv1943cshahanup86IPIAffinity purification (Physical interaction)
    authors,VL. Arcus,PB. Rainey,SJ. Turner The PIN-domain toxin-antitoxin array in mycobacteria. Trends Microbiol. 2005
    CitationComprehensive functional analysis of Mycobacterium tuberculosis toxin-antitoxin systems: implications for pathogenesis, stress responses, and evolution. authors,HR. Ramage,LE. Connolly,JS. Cox PLoS Genet. 2009shahanup86IPI20011113Affinity purification (Physical interaction)
    InteractionRegulatory Rv0616cakankshajain.21IEPCo-expression (Functional linkage)
    T. Parish, DA. Smith et al. The senX3-regX3 two-component regulatory system of Mycobacterium tuberculosis is required for virulence. Microbiology (Reading, Engl.) 2003
    InteractionRegulatedBy Rv1963cyamir.morenoIEPMicroarrays. mRNA levels of regulated element measured and compared between wild-type and trans-element mutation (knockout, over expression etc.) performed by using microarray (or macroarray) experiments.. qRT-PCR. mRNA expression levels of regulated element measured and compared between wild-type and trans-element mutation (knockout, over expression etc.) performed by using qRT-PCR technique.
    MP. Santangelo, FC. Blanco et al. Study of the role of Mce3R on the transcription of mce genes of Mycobacterium tuberculosis. BMC Microbiol. 2008
    InteractionRegulatedBy Rv1963cyamir.morenoIEPMicroarrays. mRNA levels of regulated element measured and compared between wild-type and trans-element mutation (knockout, over expression etc.) performed by using microarray (or macroarray) experiments.. qRT-PCR. mRNA expression levels of regulated element measured and compared between wild-type and trans-element mutation (knockout, over expression etc.) performed by using qRT-PCR technique.
    MP. Santangelo, FC. Blanco et al. Study of the role of Mce3R on the transcription of mce genes of Mycobacterium tuberculosis. BMC Microbiol. 2008
    InteractionRegulatedBy Rv0491yamir.morenoIEPMicroarrays. mRNA levels of regulated element measured and compared between wild-type and trans-element mutation (knockout, over expression etc.) performed by using microarray (or macroarray) experiments..
    T. Parish, DA. Smith et al. The senX3-regX3 two-component regulatory system of Mycobacterium tuberculosis is required for virulence. Microbiology (Reading, Engl.) 2003
    CitationComprehensive functional analysis of Mycobacterium tuberculosis toxin-antitoxin systems: implications for pathogenesis, stress responses, and evolution. authors,HR. Ramage,LE. Connolly,JS. Cox PLoS Genet. 2009jlew20011113MazF homolog, Toxic when expressed in Msmeg, rescued by antitoxin (Rv1943c)
    SymbolMazF5jlewWe report the heterologous toxicity of these TA loci in Escherichia coli and show that only a few of the M. tuberculosis-encoded toxins can inhibit E. coli growth and have a killing effect. This killing effect can be suppressed by coexpression of the cognate antitoxin.
    authors,A. Gupta Killing activity and rescue function of genome-wide toxin-antitoxin loci of Mycobacterium tuberculosis. FEMS Microbiol. Lett. 2009
    CitationKilling activity and rescue function of genome-wide toxin-antitoxin loci of Mycobacterium tuberculosis. authors,A. Gupta FEMS Microbiol. Lett. 2009jlew19016878We report the heterologous toxicity of these TA loci in Escherichia coli and show that only a few of the M. tuberculosis-encoded toxins can inhibit E. coli growth and have a killing effect. This killing effect can be suppressed by coexpression of the cognate antitoxin.
    SymbolmazF-mt5jlew
    authors,L. Zhu,Y. Zhang,JS. Teh,J. Zhang,N. Connell,H. Rubin,M. Inouye Characterization of mRNA interferases from Mycobacterium tuberculosis. J. Biol. Chem. 2006
    CitationCharacterization of mRNA interferases from Mycobacterium tuberculosis. authors,L. Zhu,Y. Zhang,JS. Teh,J. Zhang,N. Connell,H. Rubin,M. Inouye J. Biol. Chem. 2006jlew16611633None
    Otherstart:2194644rslaydenhypothetical protein
    Otherstop:2194973rslaydenhypothetical protein
    Otherstrand:+rslaydenhypothetical protein

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