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PML protein analysis using imaging flow cytometry
- Source :
- Journal of Clinical Pathology. 64:447-450
- Publication Year :
- 2010
- Publisher :
- BMJ, 2010.
-
Abstract
- Acute promyelocytic leukaemia (APML) can be promptly diagnosed by detecting abnormal diffuse staining patterns of PML bodies in abnormal promyelocytes using immunofluorescence microscopy. However, this technique is subjective, with low sensitivity. Using samples from 18 patients with acute myeloid leukaemia (AML) (including four with APML), the authors investigated whether imaging flow cytometry could be a viable alternative to this current technique and improve sensitivity levels. Bone marrow/peripheral blood cells were stained with an antibody to PML, and data were acquired on an ImageStream (Amnis Corporation, Seattle, Washington, USA). Using the modulation feature for data analysis, the authors demonstrated that this technique could successfully identify cases of APML. Imaging flow cytometry, by analysing greater numbers of cells and with the potential to include disease-specific antigens, increases the sensitivity of the current immunofluorescence technique. Imaging flow cytometry is an exciting technology that has many possible applications in the diagnosis of haematological malignancies, including the potential to integrate modalities.
- Subjects :
- Adult
medicine.medical_specialty
Pathology
Adolescent
Bone Marrow Cells
Pilot Projects
Promyelocytic Leukemia Protein
Immunofluorescence
Pathology and Forensic Medicine
Flow cytometry
Young Adult
Promyelocytic leukemia protein
Antigen
medicine
Humans
Child
Aged
Aged, 80 and over
Staining and Labeling
medicine.diagnostic_test
biology
Tumor Suppressor Proteins
Nuclear Proteins
Anatomical pathology
General Medicine
Middle Aged
Flow Cytometry
Immunohistochemistry
Staining
Leukemia, Myeloid, Acute
medicine.anatomical_structure
biology.protein
Bone marrow
Antibody
Transcription Factors
Subjects
Details
- ISSN :
- 14724146 and 00219746
- Volume :
- 64
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Pathology
- Accession number :
- edsair.doi.dedup.....754af8878d0bbde2f60e261acf5b1075