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 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 -
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
t-test p-value Cholesterol/Glycerol Ratio
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.

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: