TB Genome Annotation Portal

Rv0983 (pepD)

Amino Acid Sequence

MAKLARVVGLVQEEQPSDMTNHPRYSPPPQQPGTPGYAQGQQQTYSQQFDWRYPPSPPPQPTQYRQPYEALGGTRPGLIPGVIPTMTPPPGMVRQRPRAG
MLAIGAVTIAVVSAGIGGAAASLVGFNRAPAGPSGGPVAASAAPSIPAANMPPGSVEQVAAKVVPSVVMLETDLGRQSEEGSGIILSAEGLILTNNHVIA
AAAKPPLGSPPPKTTVTFSDGRTAPFTVVGADPTSDIAVVRVQGVSGLTPISLGSSSDLRVGQPVLAIGSPLGLEGTVTTGIVSALNRPVSTTGEAGNQN
TVLDAIQTDAAINPGNSGGALVNMNAQLVGVNSAIATLGADSADAQSGSIGLGFAIPVDQAKRIADELISTGKASHASLGVQVTNDKDTLGAKIVEVVAG
GAAANAGVPKGVVVTKVDDRPINSADALVAAVRSKAPGATVALTFQDPSGGSRTVQVTLGKAEQ
(Nucleotide sequence available on KEGG)

Additional Information

HtrA2
(Mohamedmohaideen et al., 2008, Biochemistry) http://www.ncbi.nlm.nih.gov/pubmed/18479146

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: 0.700650;
7 non-insertions in a row out of 19 sites
Uncertain Lignoceric Acid H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.224800;
4 non-insertions in a row out of 19 sites
Non-Essential Phosphatidylcholine H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.000000;
2 non-insertions in a row out of 19 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 19 sites
Non-Essential minimal media + 0.01% cholesterol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: 0.000000;
4 non-insertions in a row out of 19 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)

    Rv0983 (pepD)

    PropertyValueCreatorEvidencePMIDComment
    InteractionRegulatory Rv0981ahal4789IMPAffinity purification(physical interaction)
    H. He & TC. Zahrt Identification and characterization of a regulatory sequence recognized by Mycobacterium tuberculosis persistence regulator MprA. J. Bacteriol. 2005
    CitationPepD participates in the mycobacterial stress response mediated through MprAB and SigE. MJ. White, H. He et al. J. Bacteriol. 2010ahal4789IDA20061478Band shift
    InteractionRegulatory Rv0981ahal4789IDABand shift
    MJ. White, H. He et al. PepD participates in the mycobacterial stress response mediated through MprAB and SigE. J. Bacteriol. 2010
    CitationIdentification and characterization of a regulatory sequence recognized by Mycobacterium tuberculosis persistence regulator MprA. H. He & TC. Zahrt J. Bacteriol. 2005ahal4789IDA15601704Band shift
    InteractionRegulatory Rv0981ahal4789IDABand shift
    H. He & TC. Zahrt Identification and characterization of a regulatory sequence recognized by Mycobacterium tuberculosis persistence regulator MprA. J. Bacteriol. 2005
    InteractionRegulatory Rv0981ahal4789IMPAffinity purification(physical interaction)
    TC. Zahrt, C. Wozniak et al. Functional analysis of the Mycobacterium tuberculosis MprAB two-component signal transduction system. Infect. Immun. 2003
    InteractionRegulatory Rv0981ahal4789IMPAffinity purification(physical interaction)
    H. He, R. Hovey et al. MprAB is a stress-responsive two-component system that directly regulates expression of sigma factors SigB and SigE in Mycobacterium tuberculosis. J. Bacteriol. 2006
    InteractionRegulatedBy Rv1221yamir.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..
    R. Manganelli, MI. Voskuil et al. The Mycobacterium tuberculosis ECF sigma factor sigmaE: role in global gene expression and survival in macrophages. Mol. Microbiol. 2001
    InteractionRegulatedBy Rv0981yamir.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