Literature DB >> 7518719

Quantitative analysis of CD34+ stem cells using RT-PCR on whole cells.

D A Molesh1, J M Hall.   

Abstract

We have employed RT-PCR of whole cells to develop a quantitative method for estimating the number of rare cells expressing a unique mRNA in a large, mixed population of cells. We have demonstrated that RT-PCR can be done on whole cells without the need for extraction of the RNA. This allows for a great saving of time and effort, as well as allowing quantitative analysis to be based on the total number of cells analyzed in a given aliquot and the presence or absence of the specific RT-PCR product. We have employed a limiting dilution series on whole cells, with multiple aliquots at each cell concentration to achieve more statistical power in the analysis of a rare cell type. We have used a nested amplification of the CD34 mRNA to be able to detect a single cell expressing the CD34 mRNA in a larger population of non-CD34-expressing cells. We demonstrate that by using this technique, cells from blood and bone marrow containing the CD34 mRNA can be followed quantitatively during a multistep purification involving immunoadsorption followed by fluorescence-activated cell sorting. We also demonstrate that many cells that express the CD34 protein on their surface no longer contain detectable levels of CD34 mRNA, a phenomenon that appears to be developmentally regulated.

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Year:  1994        PMID: 7518719     DOI: 10.1101/gr.3.5.278

Source DB:  PubMed          Journal:  PCR Methods Appl        ISSN: 1054-9803


  3 in total

1.  Reduced bone marrow stem cell pool and progenitor mobilisation in multiple myeloma after melphalan treatment.

Authors:  L M Knudsen; T Rasmussen; L Jensen; H E Johnsen
Journal:  Med Oncol       Date:  1999-12       Impact factor: 3.064

2.  Identification of translocation products but not K-RAS mutations in memory B cells from patients with multiple myeloma.

Authors:  Thomas Rasmussen; Jacob Haaber; Inger Marie Dahl; Lene M Knudsen; Gitte B Kerndrup; Marianne Lodahl; Hans E Johnsen; Michael Kuehl
Journal:  Haematologica       Date:  2010-05-29       Impact factor: 9.941

3.  Identification and characterisation of malignant cells using RT-PCR on single flow-sorted cells.

Authors:  T Rasmussen; L Honoré; H E Johnsen
Journal:  Med Oncol       Date:  1998-07       Impact factor: 3.064

  3 in total

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