TB Genome Annotation Portal

Rv0347 (-)

Amino Acid Sequence

VPGARELTLRVERGALFRRRWAASAASSARAAIRRDPRRCALGTRPRWVSFLVIVLVIMNVVTAHPKYPNDPLALVLIELRHPRTEPPVPSAISILKEEL
ARWTPILEQEEVRQVNLETGEHTAHSQKKLVARDRRTAITFRPDAMTLEVTDYPGWEEFRSIVHAMVTARQDVAPVDGCIRIGLRYINEIRASLAEPSGW
AYWVAESLLGPGTQLADLKLTTTAQRHVIQCEGPEPGDSLTLRYAGARGAVIQSTPFLQRLKEPPAEGDFFLIDIDSAWSDPCKGIPALDAHLVDEVAER
LHTPIGPLFESLITSELRTKVLQQPGQE
(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

Rv0347/-, gene len: 986 bp, num TA sites: 18
conditiondatasetcallmediummethodnotes
in-vitroDeJesus 2017 mBiogrowth defect7H9HMMfully saturated, 14 TnSeq libraries combined
in-vitroSassetti 2003 Mol Microessential 7H9TRASHessential if hybridization ratio<0.2
in-vivo (mice)Sassetti 2003 PNASno data BL6 miceTRASHessential if hybridization ratio<0.4, min over 4 timepoints (1-8 weeks)
in-vitro (glycerol)Griffin 2011 PPathessentialM9 minimal+glycerolGumbel2 replicates; Padj<0.05
in-vitro (cholesterol)Griffin 2011 PPathessentialM9 minimal+cholesterolGumbel3 replicates; Padj<0.05
differentially essential in cholesterol Griffin 2011 PPathNO (LFC=-0.31)cholesterol vs glycerolresampling-SRYES if Padj<0.05, else not significant; LFC<0 means less insertions/more essential in cholesterol
in-vitroSmith 2022 eLifegrowth defect7H9HMM6 replicates (raw data in Subramaniam 2017, PMID 31752678)
in-vivo (mice)Smith 2022 eLifegrowth defectBL6 miceHMM6 replicates (raw data in Subramaniam 2017, PMID 31752678)
differentially essential in miceSmith 2022 eLifeNO (LFC=0.0)in-vivo vs in-vitroZINBYES if Padj<0.05, else not significant; LFC<0 means less insertions/more essential in mice
in-vitro (minimal)Minato 2019 mSysessentialminimal mediumHMM
in-vitro (YM rich medium)Minato 2019 mSysessentialYM rich mediumHMM7H9 supplemented with ~20 metabolites (amino acids, cofactors)
differentially essential in YM rich mediumMinato 2019 mSysNO (LFC=-0.94)YM rich vs minimal mediumresampling

Analysis of Positive Selection in Clinical Isolates *new*

global set of 10,626 Mtb clinical isolates
under significant positive selection?NO
omega peak height (95%CI lower bound)1.53 (0.67)
codons under selection
omega plotsomega plot across ORF
genetic variants*link
* example format for variants: "D27 (GAC): D27H (CAC,11)" means "Asp27 (native codon GAC) mutated to His (codon CAC) in 11 isolates"



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: see table of TFOE interactions below

    Interactions based on ChIPSeq data

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

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

    TFOE = Transcription Factor Over-Expression study
    significance criteria used in paper: greater than 2-fold change (|LFC|>=1.0) and Padj<0.01

    genedysregulated by OE ofLFC
    Rv0347/-Rv0022c/whiB52.38
    Rv0347/-Rv0023/-1.02
    Rv0347/-Rv0238/fdmR-1.07
    Rv0347/-Rv3849/espR-1.37


    TBCAP

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

    Rv0347 (-)

    PropertyValueCreatorEvidencePMIDComment
    InteractionRegulatedBy Rv0348yamir.morenoIDAMicroarrays. 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. Electrophoretic mobility shift assays EMSA. Physical binding of the regulator to the regulated promoter proved by using electrophoretic mobility shift assay. .
    B. Abomoelak, EA. Hoye et al. mosR, a novel transcriptional regulator of hypoxia and virulence in Mycobacterium tuberculosis. J. Bacteriol. 2009
    InteractionRegulatedBy Rv0348yamir.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. Electrophoretic mobility shift assays EMSA. Physical binding of the regulator to the regulated promoter proved by using electrophoretic mobility shift assay. .
    B. Abomoelak, EA. Hoye et al. mosR, a novel transcriptional regulator of hypoxia and virulence in Mycobacterium tuberculosis. J. Bacteriol. 2009
    InteractionRegulatedBy Rv0348yamir.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. Electrophoretic mobility shift assays EMSA. Physical binding of the regulator to the regulated promoter proved by using electrophoretic mobility shift assay. .
    B. Abomoelak, EA. Hoye et al. mosR, a novel transcriptional regulator of hypoxia and virulence in Mycobacterium tuberculosis. J. Bacteriol. 2009
    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

    Comments