Rv0070c Serine hydroxymethyltransferase (EC 2.1.2.1)

Summary

Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv0070c glyA2 Serine hydroxymethyltransferase (EC 2.1.2.1) CDS 77619 78896 - 1 278 425 FALSE

Rv0070c (Serine hydroxymethyltransferase (EC 2.1.2.1)) is predicted to be co-regulated in modules bicluster_0218 with residual 0.55 and bicluster_0287 with residual 0.56.

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_0218 and 0.00 and 4.30 for bicluster_0287 respectively.

These modules are enriched for following go terms: .

This gene is found to be for growth on cholesterol.

Mutant available?:

Product (LegacyBRC) Product (RefSeq)
Serine hydroxymethyltransferase 2 serine hydroxymethyltransferase
Operon # Operon
47 -
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Glycine, serine and threonine metabolism

27
Total items in this category:  

KEGG

Cyanoamino acid metabolism

12
Total items in this category:  

KEGG

One carbon pool by folate

13
Total items in this category:  

KEGG

Methane metabolism

26
Total items in this category:  

KEGG

Metabolic pathways

601
Total items in this category:  

KEGG

Biosynthesis of secondary metabolites

326
Total items in this category:  

KEGG

Microbial metabolism in diverse environments

296
Total items in this category:  
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network

STRING

GI Number Protein ID Blast Conserved Domains
15607212 NP_214584.1 Run
GO:0004372

glycine hydroxymethyltransferase activity

glycine hydroxymethyltransferase activity

Details: 
Catalysis of the reaction: 5,10-methylenetetrahydrofolate + glycine + H2O = tetrahydrofolate + L-serine.
GO Category: 
molecular_function
2
Total items in this category:  
No TFOE experiment results were found

Quantitative Proteomics Data

t-test p-value Cholesterol/Glycerol Ratio
0.900000 1.32

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: