title: Different transcriptional profiles of RAW264.7 infected with Mycobacterium tuberculosis H37Rv and BCG identified via deep sequencing.
abstract: BACKGROUND
  The Mycobacterium tuberculosis H37Rv and BCG effects on the host cell transcriptional profile consider a main research point. In the present study the transcriptome profiling analysis of RAW264.7 either infected with Mycobacterium tuberculosis H37Rv or BCG have been reported using Solexa/Illumina digital gene expression (DGE).
  
  
  RESULTS
  The DGE analysis showed 1,917 different expressed genes between the BCG and H37Rv group. In addition, approximately 5% of the transcripts appeared to be predicted genes that have never been described before. KEGG Orthology (KO) annotations showed more than 71% of these transcripts are possibly involved in approximately 210 known metabolic or signaling pathways. The gene of the 28 pathways about pathogen recognition receptors and Mycobacterium tuberculosis interaction with macrophages were analyzed using the CLUSTER 3.0 available, the Tree View tool and Gene Orthology (GO). Some genes were randomly selected to confirm their altered expression levels by quantitative real-time PCR (qRT-PCR).
  
  
  CONCLUSIONS
  The present study used DGE from pathogen recognition receptors and Mycobacterium tuberculosis interaction with macrophages to understand the interplay between Mycobacterium tuberculosis and RAW264.7. Meanwhile find some important host protein which was affected by Mycobacterium tuberculosis to provide evidence for the further improvement of the present efficacy of existing Mycobacterium tuberculosis therapy and vaccine.
authors.affiliation: Laboratory of Food Safety and Hygienic Inspection, Jilin University, Changchun, Jilin, People's Republic of China.
authors.forename: Fengguang
authors.initials: F
authors.lastname: Pan
authors.forename: Yaya
authors.initials: Y
authors.lastname: Zhao
authors.forename: Seng
authors.initials: S
authors.lastname: Zhu
authors.forename: Changjiang
authors.initials: C
authors.lastname: Sun
authors.forename: Liancheng
authors.initials: L
authors.lastname: Lei
authors.forename: Xin
authors.initials: X
authors.lastname: Feng
authors.forename: Wen Yu
authors.initials: WY
authors.lastname: Han
mesh_terms: D000818:Animals; D001500:BCG Vaccine / Q000276:immunology; D002460:Cell Line; D016000:Cluster Analysis; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D015723:Gene Library; D059014:High-Throughput Nucleotide Sequencing; D054884:Host-Pathogen Interactions / Q000235:genetics / Q000276:immunology; D008264:Macrophages / Q000276:immunology / Q000378:metabolism* / Q000382:microbiology*; D051379:Mice; D058977:Molecular Sequence Annotation; D009169:Mycobacterium tuberculosis / Q000276:immunology; D051192:Receptors, Pattern Recognition / Q000235:genetics / Q000276:immunology; D015203:Reproducibility of Results; D013312:Stress, Physiological / Q000235:genetics / Q000276:immunology
chemical_list: D001500:BCG Vaccine; D051192:Receptors, Pattern Recognition