Rv3624c Hypoxanthine-guanine phosphoribosyltransferase (EC


Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv3624c hpt Hypoxanthine-guanine phosphoribosyltransferase (EC CDS 4063254 4063904 - 651 216 FALSE

Rv3624c (Hypoxanthine-guanine phosphoribosyltransferase (EC is predicted to be co-regulated in modules bicluster_0150 with residual 0.60 and bicluster_0481 with residual 0.57.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 0.46 and 72.00 for bicluster_0150 and 0.04 and 0.31 for bicluster_0481 respectively.

These modules are enriched for following go terms: .

This gene is found to be for growth on cholesterol.

Mutant available?: Yes

BASS Score Distance to Tuberculist Start Codon Internal TSS New Internal UTR Re-Annotated Start Tuberculist Annotated Start
-0.777 48 4063856 -6 4063862 4063904
Last update: 10/16/2017 - 16:15
BEI Mutant Available BEI Mutant ID BEI MT Number BEI Target ID Order from BEI
Yes NR-14958 MT3726 360
Product (LegacyBRC) Product (RefSeq)
Hypoxanthine-guanine phosphoribosyltransferase hypoxanthine-guanine phosphoribosyltransferase
Operon # Operon
2358 - - -
Locus Tuberculist Genome View


Locus Tag KEGG Pathways


Purine metabolism

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Metabolic pathways

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Biosynthesis of secondary metabolites

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BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network


GI Number Protein ID Blast Conserved Domains
15610760 NP_218141.1 Run

hypoxanthine phosphoribosyltransferase activity

hypoxanthine phosphoribosyltransferase activity

Catalysis of the reaction: IMP + diphosphate = hypoxanthine + 5-phospho-alpha-D-ribose 1-diphosphate.
GO Category: 
Total items in this category:  
No TFOE experiment results were found

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.

p-value Untreated:
p-value INH: