Rv1602 Imidazole glycerol phosphate synthase amidotransferase subunit (EC 2.4.2.-)
Rv1602 (Imidazole glycerol phosphate synthase amidotransferase subunit (EC 2.4.2.-)) is predicted to be co-regulated in modules bicluster_0135 with residual 0.54 and bicluster_0460 with residual 0.59.
This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 3.10 and 2,200.00 for bicluster_0135 and 55.00 and 160.00 for bicluster_0460 respectively.
These modules are enriched for following go terms: small molecule biosynthetic process, single-organism biosynthetic process, aromatic compound biosynthetic process, heterocycle biosynthetic process, organic cyclic compound biosynthetic pro... branched-chain amino acid metabolic proc..., translation, acetolactate synthase activity, anion transmembrane-transporting ATPase ..., structural constituent of ribosome.
This gene is found to be for growth on cholesterol.
|Product (LegacyBRC)||Product (RefSeq)|
|Imidazole glycerol phosphate synthase subunit hisH||imidazole glycerol phosphate synthase subunit HisH|
|1054||- - - - - - -|
|BioCyc Gene Page||Cellular Overview Map|
Quantitative Proteomics Data
|t-test p-value||Cholesterol/Glycerol Ratio|
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.