Literature DB >> 20359298

A new technique for obtaining whole pathogen transcriptomes from infected host tissues.

Tatyana Azhikina1, Timofey Skvortsov, Tatyana Radaeva, Andrey Mardanov, Nikolay Ravin, Alexander Apt, Eugene Sverdlov.   

Abstract

We propose a novel experimental approach based on coincidence cloning for analyzing sequences of bacterial intracellular pathogens specifically transcribed in affected tissues. Co-denaturation and co-renaturation of excess bacterial genomic DNA with the cDNA prepared on total RNA of the infected tissue allows one to select the bacterial fraction of the cDNA sample. We used this technique for preparing and characterizing the Mycobacterium tuberculosis cDNA pool, representing the transcriptome of infected mouse lungs in the chronic phase of infection. A cDNA pool enriched in fragments of mycobacterial cDNA was analyzed by the high-throughput 454 sequencing procedure. We demonstrated that its composition corresponded to what can be expected in the chronic phase of infection and, after the adaptation of M. tuberculosis to the host immune system, was characterized by an active lipid metabolism and switched from aerobic to anaerobic respiration. The technique is universal and requires no prior knowledge of the pathogen genome sequence. Pools of transcribed sequences obtained by this technique retain the main characteristics of the genome-wide gene transcription pattern within infected tissue, and can be used for in vivo analysis of gene expression of a wide spectrum of infection agents, such as viruses, bacteria, and protista.

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Year:  2010        PMID: 20359298      PMCID: PMC2905682          DOI: 10.2144/000113350

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  27 in total

1.  Genome sequencing in microfabricated high-density picolitre reactors.

Authors:  Marcel Margulies; Michael Egholm; William E Altman; Said Attiya; Joel S Bader; Lisa A Bemben; Jan Berka; Michael S Braverman; Yi-Ju Chen; Zhoutao Chen; Scott B Dewell; Lei Du; Joseph M Fierro; Xavier V Gomes; Brian C Godwin; Wen He; Scott Helgesen; Chun Heen Ho; Chun He Ho; Gerard P Irzyk; Szilveszter C Jando; Maria L I Alenquer; Thomas P Jarvie; Kshama B Jirage; Jong-Bum Kim; James R Knight; Janna R Lanza; John H Leamon; Steven M Lefkowitz; Ming Lei; Jing Li; Kenton L Lohman; Hong Lu; Vinod B Makhijani; Keith E McDade; Michael P McKenna; Eugene W Myers; Elizabeth Nickerson; John R Nobile; Ramona Plant; Bernard P Puc; Michael T Ronan; George T Roth; Gary J Sarkis; Jan Fredrik Simons; John W Simpson; Maithreyan Srinivasan; Karrie R Tartaro; Alexander Tomasz; Kari A Vogt; Greg A Volkmer; Shally H Wang; Yong Wang; Michael P Weiner; Pengguang Yu; Richard F Begley; Jonathan M Rothberg
Journal:  Nature       Date:  2005-07-31       Impact factor: 49.962

2.  Mycobacterial bacilli are metabolically active during chronic tuberculosis in murine lungs: insights from genome-wide transcriptional profiling.

Authors:  Adel M Talaat; Sarah K Ward; Chia-Wei Wu; Elizabeth Rondon; Christine Tavano; John P Bannantine; Rick Lyons; Stephen A Johnston
Journal:  J Bacteriol       Date:  2007-03-23       Impact factor: 3.490

3.  Parallel tagged sequencing on the 454 platform.

Authors:  Matthias Meyer; Udo Stenzel; Michael Hofreiter
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

4.  Next-generation DNA sequencing.

Authors:  Jay Shendure; Hanlee Ji
Journal:  Nat Biotechnol       Date:  2008-10       Impact factor: 54.908

5.  The beginning of the end for microarrays?

Authors:  Jay Shendure
Journal:  Nat Methods       Date:  2008-07       Impact factor: 28.547

Review 6.  RNA profiling in host-pathogen interactions.

Authors:  Simon J Waddell; Philip D Butcher; Neil G Stoker
Journal:  Curr Opin Microbiol       Date:  2007-06-15       Impact factor: 7.934

7.  Nitrate enhances the survival of Mycobacterium tuberculosis during inhibition of respiration.

Authors:  Charles D Sohaskey
Journal:  J Bacteriol       Date:  2008-02-22       Impact factor: 3.490

Review 8.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

9.  GREM, a technique for genome-wide isolation and quantitative analysis of promoter active repeats.

Authors:  Anton Buzdin; Elena Kovalskaya-Alexandrova; Elena Gogvadze; Eugene Sverdlov
Journal:  Nucleic Acids Res       Date:  2006-05-12       Impact factor: 16.971

10.  Microarray analysis of defined Mycobacterium tuberculosis populations using RNA amplification strategies.

Authors:  Simon J Waddell; Ken Laing; Claire Senner; Philip D Butcher
Journal:  BMC Genomics       Date:  2008-02-25       Impact factor: 3.969

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  6 in total

1.  Genome sequencing in clinical microbiology.

Authors:  Jacqueline Z-M Chan; Mark J Pallen; Beryl Oppenheim; Chrystala Constantinidou
Journal:  Nat Biotechnol       Date:  2012-11       Impact factor: 54.908

2.  Polyclonal antibody cocktails generated using DNA vaccine technology protect in murine models of orthopoxvirus disease.

Authors:  Joseph W Golden; Marina Zaitseva; Senta Kapnick; Robert W Fisher; Malgorzata G Mikolajczyk; John Ballantyne; Hana Golding; Jay W Hooper
Journal:  Virol J       Date:  2011-09-20       Impact factor: 4.099

3.  Adaptive Changes in Mycobacterium avium Gene Expression Profile Following Infection of Genetically Susceptible and Resistant Mice.

Authors:  D V Ignatov; T A Skvortsov; K B Majorov; A S Apt; T L Azhikina
Journal:  Acta Naturae       Date:  2010-07       Impact factor: 1.845

4.  Proteomics for the Investigation of Mycobacteria.

Authors:  J A Bespyatykh; E A Shitikov; E N Ilina
Journal:  Acta Naturae       Date:  2017 Jan-Mar       Impact factor: 1.845

5.  Coincidence cloning recovery of Brucella melitensis RNA from goat tissues: advancing the in vivo analysis of pathogen gene expression in brucellosis.

Authors:  Paola M Boggiatto; Daniel Fitzsimmons; Darrell O Bayles; David Alt; Catherine E Vrentas; Steven C Olsen
Journal:  BMC Mol Biol       Date:  2018-08-01       Impact factor: 2.946

6.  Mycobacterium tuberculosis Transcriptome Profiling in Mice with Genetically Different Susceptibility to Tuberculosis.

Authors:  T A Skvortsov; D V Ignatov; K B Majorov; A S Apt; T L Azhikina
Journal:  Acta Naturae       Date:  2013-04       Impact factor: 1.845

  6 in total

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