Javidlab:research: Difference between revisions
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[[Javidlab | <font face="trebuchet ms" size= | [[Javidlab | <font face="trebuchet ms" size=4 style="color:#ffffff"> '''/ Home ''' </font>]] | ||
[[Javidlab:research | <font face="trebuchet ms" size= | [[Javidlab:news | <font face="trebuchet ms" size=4 style="color:#ffffff"> '''/ NEWS ''' </font>]] | ||
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[[Javidlab:funstuff | <font face="trebuchet ms" size= | [[Javidlab:labalumni | <font face="trebuchet ms" size=4 style="color:#ffffff"> '''/ Lab Alumni ''' </font>]] | ||
[[Javidlab:contact | <font face="trebuchet ms" size= | [[Javidlab:funstuff | <font face="trebuchet ms" size=4 style="color:#ffffff"> '''/ Fun Stuff ''' </font>]] | ||
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OVERVIEW<br> | |||
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Tuberculosis causes more deaths globally, and in China, than any other single pathogen. Some of the reasons for its success are the ability of the causative organism, Mycobacterium tuberculosis, to lie undetected in the host for decades (clinical latency), the very long treatment times for successful antibiotic treatment (phenotypic resistance) and emerging drug resistance to effective antibiotics. The Javid laboratory is interested in investigating some of the fundamental physiological mycobacterial processes that may contribute to these phenotypes. | |||
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Adaptive<br> | |||
Mistranslation<br> | |||
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We have previously shown that the protein translation error rate (mistranslation rate) in mycobacteria is unusually high. Importantly, manipulation of the error rate, both up and down, appears to have profound effects on antibiotic phenotypic resistance. We have shown that mycobacterial strains with high error rates have remarkable phenotypic resistance to the antibiotic rifampicin, and the opposite is true for high fidelity mutants. We are interested in investigating the basic mechanism for these observations, and identifying other potentially adaptive phenotypes that arise from low translational fidelity. | |||
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Mycobacteria<br> | |||
host-pathogen<br> | |||
interactions<br> | |||
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The majority of people infected with M. tuberculosis – almost a third of the world’s population – do not become ill unless their immune system weakens. This suggests that mycobacteria have evolved to evade host immune responses, much like other chronic infections. We are interested in investigating the mechanisms by which mycobacteria manipulate the host environment to their own ends. We use a variety of approaches – including proteomic profiling of mycobacteria-infected cells, flow cytometry and forward genetics to address these questions. | |||
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Protein<br> | |||
Translation<br> | |||
Fidelity<br> | |||
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The | The lab’s interest in protein translation fidelity arose from our observation regarding ‘adaptive mistranslation’ in mycobacteria (see above). We are extending these findings to other organisms and systems to determine the mechanisms by which organisms may tune translational fidelity. | ||
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GatCAB dependent<br> | |||
tRNA synthesis<br> | |||
and protein evolution<br> | |||
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Unlike eukaryotic cytosols, the majority of bacteria and archae utilise a two-step, indirect pathway to make amino-acylated glutamine and/or asparagine tRNA. To ensure fidelity of the genetic code, physiologically misacylated tRNAs (Glu-tRNAGln and Asp-tRNAAsn) are recognised by the heterotrimeric enzyme GatCAB, and through a transamidation reaction, synthesise the cognate amino-acyl tRNA. The lab is interested in determining the biochemistry of this process in mycobacteria and applying that to investigate ‘statistical proteome’ analysis in mycobacterial physiology. | |||
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Revision as of 07:18, 17 February 2014
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Room 4-302 Biotech Building |