TB Genome Annotation Portal

Rv0280 (PPE3)

Amino Acid Sequence

MTLWMASPPEVHSALLSSGPGPGSVLSAAGVWSSLSAEYAAVADELIGLLGAVQTGAWQGPSAAAYVAAHAPYLAWLMRASETSAEAAARHETVAAAYTT
AVAAMPTLVELAANHTLHGVLVATNFFGINTIPIALNEADYARMWTQAASTMATYQAVAEAAVASAPQTTPAPPILAAEAADDDHDHDHDHGGEPTPLDY
LVAEILRIISGGRLIWDPAEGTMNGIPFEDYTDAAQPIWWVVRAIEFSKDFETFVQELFVNPVEAFQFYFELLLFDYPTHIVQIVEALSQSPQLLAVALG
SVISNLGAVTGFAGLSGLAGMQPAAIPALAPVAAAPSTLPAVAMAPTMAAPGAAVASAAAPASAPAASTVASATPAPPPAPGAAGFGYPYAIAPPGIGFG
SGMSASASAQRKAPQPDSAAAAAAAAAVRDQARARRRRRVTRRGYGDEFMDMNIDVDPDWGPPPGEDPVTSTVASDRGAGHLGFAGTARREAVADAAGMT
TLAGDDFGDGPTTPMVPGSWDPDRDAPGSAEPGDRG
(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
Uncertain Sodium Oleate H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.126750;
5 non-insertions in a row out of 26 sites
Non-Essential Lignoceric Acid H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
3 non-insertions in a row out of 26 sites
Non-Essential Phosphatidylcholine H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
3 non-insertions in a row out of 26 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 26 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 26 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

  • 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)

    Rv0280 (PPE3)

    PropertyValueCreatorEvidencePMIDComment
    CitationMycobacterium tuberculosis ECF sigma factor sigC is required for lethality in mice and for the conditional expression of a defined gene set. R. Sun, PJ. Converse et al. Mol. Microbiol. 2004gaat3sIEP15049808Co-expression (Functional linkage)
    InteractionRegulatory Rv2069gaat3sIEPCo-expression (Functional linkage)
    R. Sun, PJ. Converse et al. Mycobacterium tuberculosis ECF sigma factor sigC is required for lethality in mice and for the conditional expression of a defined gene set. Mol. Microbiol. 2004
    InteractionRegulatedBy Rv0757yamir.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..
    SB. Walters, E. Dubnau et al. The Mycobacterium tuberculosis PhoPR two-component system regulates genes essential for virulence and complex lipid biosynthesis. Mol. Microbiol. 2006
    InteractionRegulatedBy Rv2359yamir.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

    Comments