Rv1446c OpcA, an allosteric effector of glucose-6-phosphate dehydrogenase, actinobacterial

Summary
Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv1446c opcA OpcA, an allosteric effector of glucose-6-phosphate dehydrogenase, actinobacterial CDS 1624454 1625365 - 912 303 FALSE

Rv1446c (OpcA, an allosteric effector of glucose-6-phosphate dehydrogenase, actinobacterial) is predicted to be co-regulated in modules bicluster_0444 with residual 0.53 and bicluster_0496 with residual 0.57.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 230.00 and 23,000.00 for bicluster_0444 and 0.00 and 0.00 for bicluster_0496 respectively.

These modules are enriched for following go terms: cellular component organization, cellular component biogenesis, cellular component organization or bioge... sulfur compound metabolic process.

This gene is found to be for growth on cholesterol.

Mutant available?:

Product (LegacyBRC) Product (RefSeq)
PUTATIVE OXPP CYCLE PROTEIN OPCA putative OXPP cycle protein OPCA
Operon # Operon
965 - -
PATRIC Locus Tag Enzyme Name PATRIC Pathways Transcriptomics

PATRIC

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
15608584 NP_215962.1 Run
GO:0005886

plasma membrane

plasma membrane

Details: 
The membrane surrounding a cell that separates the cell from its external environment. It consists of a phospholipid bilayer and associated proteins.
GO Category: 
cellular_component
1284
Total items in this category:  
GO:0040007

growth

growth

Details: 
The increase in size or mass of an entire organism, a part of an organism or a cell.
GO Category: 
biological_process
621
Total items in this category:  
No TFOE experiment results were found
Quantitative Proteomics Data
t-test p-value Cholesterol/Glycerol Ratio
0.180000 0.29

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: