Rv1880c Cytochrome P450 140

Summary
Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv1880c cyp140 Cytochrome P450 140 CDS 2130541 2131857 - 1 317 438 FALSE

Rv1880c (Cytochrome P450 140) is predicted to be co-regulated in modules bicluster_0298 with residual 0.51 and bicluster_0433 with residual 0.52.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 0.00 and 0.69 for bicluster_0298 and 0.00 and 0.00 for bicluster_0433 respectively.

These modules are enriched for following go terms: .

This gene is found to be for growth on cholesterol.

Mutant available?:

Product (LegacyBRC) Product (RefSeq)
Putative cytochrome P450 140 cytochrome p450 140 CYP140
Operon # Operon
1232
PATRIC Locus Tag Enzyme Name PATRIC Pathways Transcriptomics

PATRIC

Not assigned Not assigned
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Bisphenol degradation

35
Total items in this category:  

KEGG

Polycyclic aromatic hydrocarbon degradation

47
Total items in this category:  

KEGG

Aminobenzoate degradation

73
Total items in this category:  

KEGG

Limonene and pinene degradation

65
Total items in this category:  

KEGG

Metabolic pathways

601
Total items in this category:  

KEGG

Biosynthesis of secondary metabolites

326
Total items in this category:  

KEGG

Microbial metabolism in diverse environments

296
Total items in this category:  
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network

STRING

GI Number Protein ID Blast Conserved Domains
15609017 NP_216396.1 Run
No TFOE experiment results were found
Quantitative Proteomics Data
t-test p-value Cholesterol/Glycerol Ratio
0.750000 2.00

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.

TRIP log2 fold abundance change

reports the log2 abundance fold change of each TFI strain, relative to no induction, in absence or presence of drug, averaged across experimental replicates. Also reported are the accompanying z-scores and two-sided t-test p-values for each TFI strain under each condition. Please refer to Ma et al., 2020, Nature Microbiology for more information.

p-value Untreated:
p-value INH: