Rv1688 DNA-3-methyladenine glycosylase II (EC 3.2.2.21)

Summary
Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv1688 mpg DNA-3-methyladenine glycosylase II (EC 3.2.2.21) CDS 1912979 1913590 + 612 203 FALSE

Rv1688 (DNA-3-methyladenine glycosylase II (EC 3.2.2.21)) is predicted to be co-regulated in modules bicluster_0115 with residual 0.48 and bicluster_0398 with residual 0.53.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 50.00 and 1,500.00 for bicluster_0115 and 3.30 and 23.00 for bicluster_0398 respectively.

These modules are enriched for following go terms: ligase activity, forming carbon-nitrogen....

This gene is found to be non-essential for growth on cholesterol.

Mutant available?: Yes

Last update: 10/16/2017 - 11:42
BEI Mutant Available BEI Mutant ID BEI MT Number BEI Target ID Order from BEI
Yes NR-15056 MT1727.1 1279
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
transcriptional regulator, ArsR family
Induced -80 1.46 0.00000000000000765 CDS
Motif 1 Motif 2 Residual
bicluster_0115
e.value: 
50
Motif Bicluster: 
e.value: 
1500
Motif Bicluster: 
0.48
bicluster_0398
e.value: 
3.3
Motif Bicluster: 
e.value: 
23
Motif Bicluster: 
0.53
Product (LegacyBRC) Product (RefSeq)
Putative 3-methyladenine DNA glycosylase 3-methyladenine DNA glycosylase
Operon # Operon
1103 Rv1688 - Rv1689
PATRIC Locus Tag Enzyme Name PATRIC Pathways Transcriptomics

PATRIC

Not assigned Not assigned
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Base excision repair

17
Total items in this category:  
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network

STRING

GI Number Protein ID Blast Conserved Domains
15608826 NP_216204.1 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 0.580000 0.78

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.