Literature DB >> 9789216

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

T Rasmussen1, L Honoré, H E Johnsen.   

Abstract

In an attempt to optimise stem cell graft evaluation we have developed a method of quantifying the number of cells in a phenotypically defined population of cells, expressing a gene of interest by combining an RT-PCR method working on whole single cells with flow cytometry. The clinical potential is illustrated by two examples. First, the phenotypes of clonal cells in the bone marrow (BM) of a patient with multiple myeloma (MM), were determined by sorting cells phenotypically defined by their expression of surface antigens and then performing RT-PCR on the individual sorted cells using the rearranged immunoglobulin heavy chain (IgH) gene as clonal marker. All plasma cells with the phenotype CD38++/CD45RA- expressed the clonal marker, whereas it could not be detected in plasma cells with the phenotype CD38++/CD45RA+. A minor population of clonal cells with the CD38+/CD45RA- phenotype was found. Second, the number of committed (CD34+/CD38+) and non-committed (CD34+/CD38-) stem cells, expressing the chimeric fusion gene p210 BCR/ABL in the autograft from a patient with chronic myeloid leukemia (CML), was determined. The number of cells expressing BCR/ABL mRNA was nearly equal in the CD34+/CD38+ and CD34+/CD38- compartment (8.1 and 8.5%). The method presented can easily be applied to determine the phenotype of malignant cells, where a unique mRNA species exist. Furthermore, the method allows one to predict the outcome of antibody mediated purging experiment.

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Year:  1998        PMID: 9789216     DOI: 10.1007/bf02989586

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  12 in total

1.  Gel-loading dyes compatible with PCR.

Authors:  B L Hoppe; B M Conti-Tronconi; R M Horton
Journal:  Biotechniques       Date:  1992-05       Impact factor: 1.993

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

Authors:  D A Molesh; J M Hall
Journal:  PCR Methods Appl       Date:  1994-04

Review 3.  The human immunoglobulin VH repertoire.

Authors:  G P Cook; I M Tomlinson
Journal:  Immunol Today       Date:  1995-05

4.  Release of tumor cells from bone marrow.

Authors:  E J Shpall; R B Jones
Journal:  Blood       Date:  1994-02-01       Impact factor: 22.113

5.  Immunoglobulin gene 'fingerprinting': an approach to analysis of B lymphoid clonality in lymphoproliferative disorders.

Authors:  M Deane; J D Norton
Journal:  Br J Haematol       Date:  1991-03       Impact factor: 6.998

6.  Phenotypic difference of normal plasma cells from mature myeloma cells.

Authors:  H Harada; M M Kawano; N Huang; Y Harada; K Iwato; O Tanabe; H Tanaka; A Sakai; H Asaoku; A Kuramoto
Journal:  Blood       Date:  1993-05-15       Impact factor: 22.113

7.  Minimal residual disease after allogeneic bone marrow transplantation for chronic myeloid leukaemia in first chronic phase: correlations with acute graft-versus-host disease and relapse.

Authors:  N C Cross; T P Hughes; L Feng; P O'Shea; J Bungey; D I Marks; A Ferrant; P Martiat; J M Goldman
Journal:  Br J Haematol       Date:  1993-05       Impact factor: 6.998

8.  Structure of the gene encoding CD34, a human hematopoietic stem cell antigen.

Authors:  A B Satterthwaite; T C Burn; M M Le Beau; D G Tenen
Journal:  Genomics       Date:  1992-04       Impact factor: 5.736

9.  Immunologic purging of marrow assessed by PCR before autologous bone marrow transplantation for B-cell lymphoma.

Authors:  J G Gribben; A S Freedman; D Neuberg; D C Roy; K W Blake; S D Woo; M L Grossbard; S N Rabinowe; F Coral; G J Freeman
Journal:  N Engl J Med       Date:  1991-11-28       Impact factor: 91.245

10.  Genetic marking shows that Ph+ cells present in autologous transplants of chronic myelogenous leukemia (CML) contribute to relapse after autologous bone marrow in CML.

Authors:  A B Deisseroth; Z Zu; D Claxton; E G Hanania; S Fu; D Ellerson; L Goldberg; M Thomas; K Janicek; W F Anderson
Journal:  Blood       Date:  1994-05-15       Impact factor: 22.113

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  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.  A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Authors:  Julie Støve Bødker; Rasmus Froberg Brøndum; Alexander Schmitz; Anna Amanda Schönherz; Ditte Starberg Jespersen; Mads Sønderkær; Charles Vesteghem; Hanne Due; Caroline Holm Nørgaard; Martin Perez-Andres; Mehmet Kemal Samur; Faith Davies; Brian Walker; Charlotte Pawlyn; Martin Kaiser; David Johnson; Uta Bertsch; Annemiek Broyl; Mark van Duin; Rajen Shah; Preben Johansen; Martin Agge Nørgaard; Richard J Samworth; Pieter Sonneveld; Hartmut Goldschmidt; Gareth J Morgan; Alberto Orfao; Nikhil Munshi; Hans Erik Johnson; Tarec El-Galaly; Karen Dybkær; Martin Bøgsted
Journal:  Blood Adv       Date:  2018-09-25

3.  Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact.

Authors:  Anna A Schönherz; Julie Støve Bødker; Alexander Schmitz; Rasmus Froberg Brøndum; Lasse Hjort Jakobsen; Anne Stidsholt Roug; Marianne T Severinsen; Tarec C El-Galaly; Paw Jensen; Hans Erik Johnsen; Martin Bøgsted; Karen Dybkær
Journal:  PLoS One       Date:  2020-04-23       Impact factor: 3.752

  3 in total

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