Related Experiment Video
Updated: Feb 5, 2026

Optimized Protocols for Mycobacterium leprae Strain Management: Frozen Stock Preservation and Maintenance in Athymic Nude Mice
Published on: March 23, 2014
TlyA protein of Mycobacterium leprae: a probable bio-marker of active infection
Abstract:
The extent of pathogenicity of the mycobacterial infections depends on virulence factors that mediate survival inside macrophages. Virulence factors are generally believed to be specific for pathogenic species and mutated/non-functional in nonpathogenic strains. Mycobacterial TlyA can modulate the phagolysosome maturation pathway, immediately after entry into macrophages. Over-expression of open reading frame (ORF) ML1358 (tlyA) in tissues of leprosy patients by partial DNA chip and real time PCR analysis during active infection attracted our interest to explore the properties of this gene at molecular and serological levels, to understand its role in the host. Molecular properties were studied by cloning and expression of the corresponding gene in pASK-iba 43(þ) expression vector in E. coli and bioinformatics tools while sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and ELISA were applied to investigate the serological significance of rTlyA protein in different clinical states of leprosy. We observed that TlyA has a close relation among mycobacteria with specific protein domains in slow growing intracellular adapted pathogenic species. The presence of trans-membrane domains indicates its association to the cell membrane. The study revealed its highly significant sero-reactivity (P value , 0·001) in borderline lepromatous (BL) patients, and those with reversal reaction (RR) and erythema nodosum leprosum (ENL). Its role in active infection, association with the cell membrane, presence in pathogenic species and high sero-reactivity, suggested the tlyA gene as a strong disease progression marker.
Insights
Mycobacterial TlyA protein is over-expressed during active leprosy infection. Its high sero-reactivity in patients suggests the tlyA gene is a significant marker for disease progression.
Area of Science:
- Microbiology
- Immunology
- Molecular Biology
Background:
- Mycobacterial pathogenicity relies on virulence factors for macrophage survival.
- TlyA protein modulates phagolysosome maturation post-macrophage entry.
- TlyA (ORF ML1358) over-expression in leprosy tissues prompted further investigation.
Purpose of the Study:
- To explore the molecular and serological properties of the TlyA gene.
- To understand the role of TlyA in host-pathogen interactions during leprosy.
- To evaluate TlyA as a potential disease progression marker.
Main Methods:
- Gene cloning and expression in E. coli.
- Bioinformatic analysis of TlyA.
- Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and ELISA.
- Real-time PCR analysis.
Main Results:
- TlyA exhibits specific protein domains in slow-growing, intracellular pathogenic mycobacteria.
- Trans-membrane domains suggest TlyA is cell membrane-associated.
- Highly significant sero-reactivity (P < 0.001) observed in borderline lepromatous (BL) patients and those with reversal reaction (RR) and erythema nodosum leprosum (ENL).
Conclusions:
- TlyA is linked to pathogenic mycobacteria and cell membrane association.
- High sero-reactivity in leprosy patients indicates TlyA's clinical significance.
- The tlyA gene is a promising marker for leprosy disease progression.
More Related Videos
08:34Identification of Virulence Markers of Mycobacterium abscessus for Intracellular Replication in Phagocytes
Published on: September 27, 2018
09:39DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA
Published on: July 15, 2011
Related Concept Videos
Probability Laws
Probability Distributions
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Probability Histograms
Poisson Probability Distribution
The...
Binomial Probability Distribution
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...