Literature DB >> 20187299

The transcriptome of Mycobacterium tuberculosis.

Rachel Haller1, Meghann Kennedy, Nick Arnold, Robert Rutherford.   

Abstract

In this review, we summarize the present understanding of the Mycobacterium tuberculosis transcriptome and catalog both experimentally verified findings and computationally derived predictions. We also provide a new analysis for a range of discoveries by comparing the results of previously independent research papers. Bringing these data together and improving their accessibility should help catalyze further discoveries. This minireview also provides some general insights that may be valuable to those working to characterize the transcriptome of less-studied prokaryotes.

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Year:  2010        PMID: 20187299     DOI: 10.1007/s00253-009-2399-4

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  5 in total

Review 1.  A computational system for identifying operons based on RNA-seq data.

Authors:  Brian Tjaden
Journal:  Methods       Date:  2019-04-04       Impact factor: 3.608

2.  Comparative analyses of transport proteins encoded within the genomes of Mycobacterium tuberculosis and Mycobacterium leprae.

Authors:  Jiwon Youm; Milton H Saier
Journal:  Biochim Biophys Acta       Date:  2011-11-29

3.  REMap: Operon map of M. tuberculosis based on RNA sequence data.

Authors:  Shaaretha Pelly; Kathryn Winglee; Fang Fang Xia; Rick L Stevens; William R Bishai; Gyanu Lamichhane
Journal:  Tuberculosis (Edinb)       Date:  2016-04-29       Impact factor: 3.131

Review 4.  The impact of transcriptomics on the fight against tuberculosis: focus on biomarkers, BCG vaccination, and immunotherapy.

Authors:  Carlos Rodrigo Zárate-Bladés; Celio Lopes Silva; Geraldo A Passos
Journal:  Clin Dev Immunol       Date:  2010-12-20

5.  Transcriptional profiling of mycobacterium tuberculosis during infection: lessons learned.

Authors:  Sarah K Ward; Bassam Abomoelak; Sarah A Marcus; Adel M Talaat
Journal:  Front Microbiol       Date:  2010-11-18       Impact factor: 5.640

  5 in total

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