Rv3287c Serine-protein kinase RsbW (EC

Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv3287c rsbW Serine-protein kinase RsbW (EC CDS 3668951 3669388 - 438 145 FALSE

Rv3287c (Serine-protein kinase RsbW (EC is predicted to be co-regulated in modules bicluster_0127 with residual 0.45 and bicluster_0401 with residual 0.58.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 0.00 and 0.02 for bicluster_0127 and 100.00 and 180.00 for bicluster_0401 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 uncharacterized protein [ANTI-SIGMA FACTOR RSBW] [SIGMA NEGATIVE EFFECTOR] anti-sigma factor rsbW (sigma negative effector)
Operon # Operon
2149 -
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
57117083 NP_217804.2 Run

nucleotide binding

nucleotide binding

Interacting selectively and non-covalently with a nucleotide, any compound consisting of a nucleoside that is esterified with (ortho)phosphate or an oligophosphate at any hydroxyl group on the ribose or deoxyribose.
GO Category: 
Total items in this category:  

protein binding

protein binding

Interacting selectively and non-covalently with any protein or protein complex (a complex of two or more proteins that may include other nonprotein molecules).
GO Category: 
Total items in this category:  

sigma factor antagonist activity

sigma factor antagonist activity

The function of binding to a sigma factor and stopping, preventing or reducing the rate of its transcriptional activity.
GO Category: 
Total items in this category:  
No TFOE experiment results were found
Quantitative Proteomics Data
t-test p-value Cholesterol/Glycerol Ratio
0.780000 1.38

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: