Rv0459

Summary
Product Feature Type Start End Strand Length AA Length is TF
Rv0459 CDS 551198 551689 + 492 163 FALSE

Rv0459 () is predicted to be co-regulated in modules bicluster_0072 with residual 0.54 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 0.32 for bicluster_0072 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?: Yes

Last update: 10/16/2017 - 02:57
BEI Mutant Available BEI Mutant ID BEI MT Number BEI Target ID Order from BEI
Yes NR-18483 MT0475 2373
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
bicluster_0072
e.value: 
0.0000000033
Motif Bicluster: 
e.value: 
0.32
Motif Bicluster: 
0.54
bicluster_0438
e.value: 
2.5
Motif Bicluster: 
e.value: 
3200
Motif Bicluster: 
0.51
Product (LegacyBRC) Product (RefSeq)
Putative uncharacterized protein
Operon # Operon
308 Rv0458 - Rv0459
PATRIC Locus Tag Enzyme Name PATRIC Pathways Transcriptomics
Not assigned Not assigned
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

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

STRING

GI Number Protein ID Blast Conserved Domains
15607600 NP_214973.1 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 0.610000 1.41

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.