title: Quick gene expression profiling of promyelocytic cell line HL-60.
abstract: OBJECTIVE
  A number of techniques have been developed to perform gene expression profiling. We report preliminary results from our exploratory study, using sequential analysis of gene expression (SAGE) technique, to profile the undifferentiated and differentiated HL-60 cells in line with our interest to characterize the cancer phenotype. The aim of the study is to evaluate the technique and to understand the molecular bases of these 2 states of cells.
  
  
  METHODS
  HL-60 cells were differentiated after treatment with dimethyl sulfoxide. Tag libraries were prepared from the messenger RNAs of the undifferentiated and differentiated cells according to the SAGE protocol. The search for genes corresponding to the tags was carried out using SAGE software. The tags and the genes from the 2 libraries were compared for their levels of expression. The study was carried out at the King Faisal Specialist Hospital and Research Centre, Riyadh, Kingdom of Saudi Arabia during the year 2001.
  
  
  RESULTS
  A comparison of tags from the 2 libraries revealed that 151 tags corresponding to 57 genes expressed differentially: 60 tags were elevated and 59 were repressed in the undifferentiated cells. Thirty-two tags were equally expressed in both types of cells. Of the corresponding genes, 25 were expressed at higher, 17 at lower, while 15 were expressed at comparable levels in both cell types. In the profile of undifferentiated cells, the genes involved in mitochondrial function and protein synthesis were prominent, while in the differentiated cells, the genes coding for proteins associated with cell membranes, signal transduction and for cell specific functions were prominent. The genes, expressed equally in both the cell types, were concerned with the maintenance of the living state.
  
  
  CONCLUSIONS
  Sequential analysis of gene expression is a useful technique for gene expression profiling. As previously indicated by others, a dedicated team can generate useful data within reasonable time limits.
authors.affiliation: Department of Biological and Medical Research, King Faisal Specialist Hospital and Research Centre, Riyadh, Kingdom of Saudi Arabia. hussain@kfshrc.edu.sa
authors.forename: Syed S
authors.initials: SS
authors.lastname: Hussain
authors.forename: Hala S
authors.initials: HS
authors.lastname: Khalil
authors.forename: Tala M
authors.initials: TM
authors.lastname: Bakheet
authors.forename: Suad M
authors.initials: SM
authors.lastname: Bin Amer
mesh_terms: D002454:Cell Differentiation; D005069:Evaluation Studies as Topic; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D015723:Gene Library; D018922:HL-60 Cells; D006801:Humans; D012529:Saudi Arabia; D013997:Time Factors