TB Genome Annotation Portal

Rv3492c (-)

Amino Acid Sequence

MRRLISVAYALMVATIVGLSAAGGWFYWDRVQTGGEASARALLPKLAMQEIPQVFGYDYQTVERSLTAVYPLLTPDYRQEFQKSANAQIIPEAKKREVVV
QANVVGVGVMDAKRDCASVMVYLNRTVTDKTRQPLYDGSRLRVDFQRIDGKWLIAYITPI
(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
Non-Essential Sodium Oleate H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
1 non-insertions in a row out of 10 sites
Non-Essential Lignoceric Acid H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
1 non-insertions in a row out of 10 sites
Non-Essential Phosphatidylcholine H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
1 non-insertions in a row out of 10 sites
Non-Essential minimal media + 0.1% glycerol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: 0.000000;
2 non-insertions in a row out of 10 sites
Essential minimal media + 0.01% cholesterol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: 0.997650;
9 non-insertions in a row out of 10 sites
Non-Essential 7H10-glycerol H37RvMA TraSH Sassetti et al. (2003a)
Non-Essential C57BL/6J mice (8 weeks) H37RvMA TraSH Sassetti et al. (2003b) Hybridization Ratio: 0.83
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)

    Rv3492c (-)

    PropertyValueCreatorEvidencePMIDComment
    InteractionRegulatory Rv3574priyadarshinipriyanka2001IEPCo-expression (Functional linkage)
    SL. Kendall,P. Burgess,R. Balhana,M. Withers,A. Ten Bokum,JS. Lott,C. Gao,I. Uhia Castro,NG. Stoker Cholesterol utilisation in mycobacteria is controlled by two TetR-type transcriptional regulators; kstR and kstR2. Microbiology (Reading, England) 2010
    InteractionRegulatory Rv3574priyadarshinipriyanka2001IEPCo-expression (Functional linkage)
    SL. Kendall, M. Withers et al. A highly conserved transcriptional repressor controls a large regulon involved in lipid degradation in Mycobacterium smegmatis and Mycobacterium tuberculosis. Mol. Microbiol. 2007
    InteractionRegulatory Rv3574akankshajain.21IEPCo-expression (Functional linkage)
    SL. Kendall, M. Withers et al. A highly conserved transcriptional repressor controls a large regulon involved in lipid degradation in Mycobacterium smegmatis and Mycobacterium tuberculosis. Mol. Microbiol. 2007
    CitationA gene cluster encoding cholesterol catabolism in a soil actinomycete provides insight into Mycobacterium tuberculosis survival in macrophages. authors,R. Van der Geize,K. Yam,T. Heuser,MH. Wilbrink,H. Hara,MC. Anderton,E. Sim,L. Dijkhuizen,JE. Davies,WW. Mohn,LD. Eltis Proc. Natl. Acad. Sci. U.S.A. 2007akankshajain.21IEP17264217Co-expression (Functional linkage)
    InteractionRegulatory Rv3574akankshajain.21IEPCo-expression (Functional linkage)
    authors,R. Van der Geize,K. Yam,T. Heuser,MH. Wilbrink,H. Hara,MC. Anderton,E. Sim,L. Dijkhuizen,JE. Davies,WW. Mohn,LD. Eltis A gene cluster encoding cholesterol catabolism in a soil actinomycete provides insight into Mycobacterium tuberculosis survival in macrophages. Proc. Natl. Acad. Sci. U.S.A. 2007
    CitationA highly conserved transcriptional repressor controls a large regulon involved in lipid degradation in Mycobacterium smegmatis and Mycobacterium tuberculosis. SL. Kendall, M. Withers et al. Mol. Microbiol. 2007akankshajain.21IEP17635188Co-expression (Functional linkage)
    InteractionRegulatedBy Rv3574yamir.morenoISOM.smegmatis orthology based inference. Orthologous pair regulator-target found in M.smegmatis.
    SL. Kendall, M. Withers et al. A highly conserved transcriptional repressor controls a large regulon involved in lipid degradation in Mycobacterium smegmatis and Mycobacterium tuberculosis. Mol. Microbiol. 2007
    InteractionRegulatedBy Rv3574yamir.morenoTASLiterature previously reported link (from Balazsi et al. 2008). Traceable author statement to experimental support.
    G. Balzsi, AP. Heath et al. The temporal response of the Mycobacterium tuberculosis gene regulatory network during growth arrest. Mol. Syst. Biol. 2008

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