Rv0908 Cation-transporting ATPase, E1-E2 family

Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv0908 ctpE Cation-transporting ATPase, E1-E2 family CDS 1011731 1014124 + 2 394 797 FALSE

Rv0908 (Cation-transporting ATPase, E1-E2 family) is predicted to be co-regulated in modules bicluster_0287 with residual 0.56 and bicluster_0438 with residual 0.51.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 0.00 and 4.30 for bicluster_0287 and 2.50 and 3,200.00 for bicluster_0438 respectively.

These modules are enriched for following go terms: porphyrin-containing compound metabolic ..., porphyrin-containing compound biosynthet..., cofactor biosynthetic process, sulfur amino acid biosynthetic process, sulfur amino acid metabolic process, cofactor metabolic process.

This gene is found to be non-essential for growth on cholesterol.

Mutant available?:

Displaying 1 - 1 of 1
Gene Target Differential Expression Distance Expression pvalue Type
No results were found
Displaying 1 - 1 of 1
ChipSeq TF Differential Expression Distance Expression pvalue Type
No results were found
Motif 1 Motif 2 Residual
Motif Bicluster: 
Motif Bicluster: 
Motif Bicluster: 
Motif Bicluster: 
Product (LegacyBRC) Product (RefSeq)
Probable cation-transporting ATPase E metal cation transporter ATPase P-type CtpE
Operon # Operon
607 Rv0907 - Rv0908
PATRIC Locus Tag Enzyme Name PATRIC Pathways Transcriptomics


Not assigned Not assigned
Locus Tuberculist Genome View


Locus Tag KEGG Pathways


not assigned to any KEGG Pathway.
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network


GI Number Protein ID Blast Conserved Domains
15608048 NP_215423.1 Run
Description:Expression data from transcription factor over expression experiments. TFOE are matched to the ChIP-seq experiment done simultaneously. This dataset is described in Rustad et al. 2014, Genome Biology.
Quantitative Proteomics Data
Cholesterol Essentiality t-test p-value Cholesterol/Glycerol Ratio
non-essential 0.100000 1.68

How essentiality calculations were done?

The relative representation of each mutant was determined by calculating the fold change (sequence reads/insertion in cholesterol divided by sequence reads/insertion in glycerol) for each gene. Statistical significance was determined by t-test. Each insertion site in each replicate sample was treated as a separate data point. The hyperbola used for defining genes specifically required for growth in cholesterol was defined by the formula, y = 3.8/x+0.7. Genes above this line are annotated as required for growth on cholesterol.