Rvnr01 Small Subunit Ribosomal RNA; ssuRNA; SSU rRNA

Summary

Symbol Product Feature Type Start End Strand Length AA Length is TF
Rvnr01 rrs Small Subunit Ribosomal RNA; ssuRNA; SSU rRNA rRNA 1471846 1473382 + 1 537 FALSE

Rvnr01 (Small Subunit Ribosomal RNA; ssuRNA; SSU rRNA) is predicted to be co-regulated in modules with residual and with residual .

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , and for and and for 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)
ribosomal RNA 16S
PATRIC Locus Tag Enzyme Name Transcriptomics

PATRIC

NA
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Ribosome

60
Total items in this category:  
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network

STRING

GI Number Protein ID Blast Conserved Domains
No TFOE experiment results were found

Quantitative Proteomics Data

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

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: