Rv3502c Probable short-chain type dehydrogenase/reductase (EC 1.-.-.-)

Summary
Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv3502c fabG Probable short-chain type dehydrogenase/reductase (EC 1.-.-.-) CDS 3921087 3922040 - 954 317 FALSE

Rv3502c (Probable short-chain type dehydrogenase/reductase (EC 1.-.-.-)) is predicted to be co-regulated in modules bicluster_0073 with residual 0.60 and bicluster_0291 with residual 0.49.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 0.00 and 0.00 for bicluster_0073 and 0.00 and 3.30 for bicluster_0291 respectively.

These modules are enriched for following go terms: acyl-CoA dehydrogenase activity.

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

Mutant available?:

Displaying 1 - 1 of 1
Gene Target Differential Expression Distance Expression pvalue Type
No results were found
Displaying 1 - 2 of 2
ChipSeq TF Differential Expression Distance Expression pvalue Type
Histone protein Lsr2
No 11 0.11 0.881478 CDS
Transcriptional regulator, TetR family
No -20 0 0.997825 CDS
Motif 1 Motif 2 Residual
bicluster_0073
e.value: 
0.0000015
Motif Bicluster: 
e.value: 
0.000047
Motif Bicluster: 
0.60
bicluster_0291
e.value: 
0.000000073
Motif Bicluster: 
e.value: 
3.3
Motif Bicluster: 
0.49
Product (LegacyBRC) Product (RefSeq)
PROBABLE SHORT-CHAIN TYPE DEHYDROGENASE_REDUCTASE 3-ketoacyl-(acyl-carrier-protein) reductase
Operon # Operon
2286 Rv3502c - Rv3503c
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Fatty acid biosynthesis

13
Total items in this category:  

KEGG

Biosynthesis of unsaturated fatty acids

10
Total items in this category:  

KEGG

Metabolic pathways

601
Total items in this category:  
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network

STRING

GI Number Protein ID Blast Conserved Domains
15610638 NP_218019.1 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
essential 0.000000 0.00

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.