TB Genome Annotation Portal

Rv1429 (-)

Amino Acid Sequence

VAEAGGGPISVIARHMQLIRDDFISELFDKMKAEIRGLDYDARMADLWRASITENFVTAVHYLDRDTPQSLVEAPAAALAYARAAAQRDIPLSGLVRAHR
LGHARFLEVAMQYVSLLEPADRVSTIIELVNRSARLVDLVADQLIVAYEHEHDRWLSRRSGLQQQWVSELLADTPVDVPRAERALGYRLDGVHIAAVVWV
DSAVPIGDVVAQFDQVRCLLAGELGPELGPVANSLMVPTDEREARLWFSPAPTRAFAPSRIRAAFESAGIRARLACGRVGDGLRGFRASLKQAERVKALA
LAGGARPGGRVMFYDDVAPVALLADDLEELRRFVTDVLGDLSVDDERNSWLRETLREFLLRNRSYVATADAMILHRNTIQYRVIQAMELCGQNLDDPDAA
FRVQMALEVCRWMAPAVLRAKQ
(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;
3 non-insertions in a row out of 22 sites
Non-Essential Lignoceric Acid H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
2 non-insertions in a row out of 22 sites
Non-Essential Phosphatidylcholine H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
1 non-insertions in a row out of 22 sites
Non-Essential minimal media + 0.1% glycerol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: 0.000000;
3 non-insertions in a row out of 23 sites
Non-Essential minimal media + 0.01% cholesterol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: 0.000000;
3 non-insertions in a row out of 23 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: 0.95
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

    • Binds To:

      • No bindings to other targets were found.
    • Bound By:

    Interactions based on ChIPSeq data (Minch et al. 2014)

    • Binds To:

      • No bindings to other targets were found.
    • Bound By:

      • No bindings to other targets were found.

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

    • Upregulates:

      • Does not upregulate other genes.
    • Upregulated by:

      • Not upregulated by other genes.
    • Downregulates:

      • Does not downregulate other genes.
    • Downregulated by:



    TBCAP

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

    Rv1429 (-)

    PropertyValueCreatorEvidencePMIDComment
    CitationRoles of SigB and SigF in the Mycobacterium tuberculosis sigma factor network. JH. Lee, PC. Karakousis et al. J. Bacteriol. 2008sourish10IEP17993538Co-expression (Functional linkage)
    InteractionTranscription Rv2710sourish10IEPCo-expression (Functional linkage)
    JH. Lee, PC. Karakousis et al. Roles of SigB and SigF in the Mycobacterium tuberculosis sigma factor network. J. Bacteriol. 2008
    InteractionRegulatedBy Rv2710yamir.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..
    JH. Lee, PC. Karakousis et al. Roles of SigB and SigF in the Mycobacterium tuberculosis sigma factor network. J. Bacteriol. 2008

    Comments