Literature DB >> 7023887

Clinical application of flow cytometry: a review.

O D Laerum, T Farsund.   

Abstract

A survey of the use of flow cytometry for clinical purposes is given. In the last decade the main clinical application of this technique has been measurements of cellular DNA content for estimation of cell cycle distribution and ploidy studies. A large body of data is now available on the presence of aneuploidy in different malignant diseases. By measurements with high resolution, the demonstration of abnormal cellular DNA content in several types of tumors can be of definite diagnostic value when combined with conventional diagnostic procedures. The prognostic significance of different types of DNA aberrations is so far not established. Attempts to monitor cancer treatment by studying altered cell cycle distribution have not been successful, although some applications are of potential value. The main reasons for this are the complexity of tumor tissue as well as difficulties with interpretation of altered cell cycle distribution caused by drug combinations. For further progress in this field more emphasis on other cell constituents than DNA measured by flow cytometry is desirable, either as single or as multiparameter measurements.

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Mesh:

Year:  1981        PMID: 7023887     DOI: 10.1002/cyto.990020102

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  45 in total

1.  Neuronal DNA content variation (DCV) with regional and individual differences in the human brain.

Authors:  Jurjen W Westra; Richard R Rivera; Diane M Bushman; Yun C Yung; Suzanne E Peterson; Serena Barral; Jerold Chun
Journal:  J Comp Neurol       Date:  2010-10-01       Impact factor: 3.215

2.  A Simple, Versatile Antibody-Based Barcoding Method for Flow Cytometry.

Authors:  Billur Akkaya; Pietro Miozzo; Amanda H Holstein; Ethan M Shevach; Susan K Pierce; Munir Akkaya
Journal:  J Immunol       Date:  2016-07-20       Impact factor: 5.422

3.  An integrated, multiparametric flow cytometry chip using "microfluidic drifting" based three-dimensional hydrodynamic focusing.

Authors:  Xiaole Mao; Ahmad Ahsan Nawaz; Sz-Chin Steven Lin; Michael Ian Lapsley; Yanhui Zhao; J Philip McCoy; Wafik S El-Deiry; Tony Jun Huang
Journal:  Biomicrofluidics       Date:  2012-04-20       Impact factor: 2.800

4.  Analysis of cell surface molecular distributions and cellular signaling by flow cytometry.

Authors:  J Matkó; L Mátyus; J Szöllösi; L Bene; A Jenei; P Nagy; A Bodnár; S Damjanovich
Journal:  J Fluoresc       Date:  1994-12       Impact factor: 2.217

5.  Whole genome amplification of single epithelial cells dissociated from snap-frozen tissue samples in microfluidic platform.

Authors:  Yuguang Liu; Janet Yao; Marina Walther-Antonio
Journal:  Biomicrofluidics       Date:  2019-05-15       Impact factor: 2.800

6.  Evaluation of Nanobody Conjugates and Protein Fusions as Bioanalytical Reagents.

Authors:  Virginia J Bruce; Brian R McNaughton
Journal:  Anal Chem       Date:  2017-03-20       Impact factor: 6.986

7.  Sub-micrometer-precision, three-dimensional (3D) hydrodynamic focusing via "microfluidic drifting".

Authors:  Ahmad Ahsan Nawaz; Xiangjun Zhang; Xiaole Mao; Joseph Rufo; Sz-Chin Steven Lin; Feng Guo; Yanhui Zhao; Michael Lapsley; Peng Li; J Philip McCoy; Stewart J Levine; Tony Jun Huang
Journal:  Lab Chip       Date:  2013-11-28       Impact factor: 6.799

Review 8.  Predictive testing in cancer chemotherapy. I. In vivo.

Authors:  P H Slee; A T Van Oosterom; E A De Bruijn
Journal:  Pharm Weekbl Sci       Date:  1985-06-21

Review 9.  Clinical and biological significance of aneuploidy in human tumours.

Authors:  M L Friedlander; D W Hedley; I W Taylor
Journal:  J Clin Pathol       Date:  1984-09       Impact factor: 3.411

Review 10.  Microfluidic transport in microdevices for rare cell capture.

Authors:  James P Smith; Alexander C Barbati; Steven M Santana; Jason P Gleghorn; Brian J Kirby
Journal:  Electrophoresis       Date:  2012-10-12       Impact factor: 3.535

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