IGH cytogenetic abnormalities can be detected in multiple myeloma by imaging flow cytometry.

AIMS: Cytogenetic abnormalities involving the IGH gene are seen in up to 55% of patients with multiple myeloma. Current testing is performed manually by fluorescence in situ hybridisation (FISH) on purified plasma cells. We aimed to assess whether an automated imaging flow cytometric method that uses immunophenotypic cell identification, and does not require cell isolation, can identify IGH abnormalities. METHODS: Aspirated bone marrow from 10 patients with multiple myeloma were studied. Plasma cells were identified by CD38 and CD138 coexpression and assessed with FISH probes for numerical or structural abnormalities of IGH. Thousands of cells were acquired on an imaging flow cytometer and numerical data and digital images were analysed. RESULTS: Up to 30 000 cells were acquired and IGH chromosomal abnormalities were detected in 5 of the 10 marrow samples. FISH signal patterns seen included fused IGH signals for IGH/FGFR3 and IGH/MYEOV, indicating t(4;14) and t(11;14), respectively. In addition, three IGH signals were identified, indicating trisomy 14 or translocation with an alternate chromosome. The lowest limit of detection of an IGH abnormality was in 0.05% of all cells. CONCLUSIONS: This automated high-throughput immuno-flowFISH method was able to identify translocations and trisomy involving the IGH gene in plasma cells in multiple myeloma. Thousands of cells were analysed and without prior cell isolation. The inclusion of positive plasma cell identification based on immunophenotype led to a lowest detection level of 0.05% marrow cells. This imaging flow cytometric FISH method offers the prospect of increased precision of detection of critical genetic lesions involving IGH and other chromosomal defects in multiple myeloma.

Novel tools for characterising inter and intra chromosomal rearrangements in avian microchromosomes.

Avian genome organisation is characterised, in part, by a set of microchromosomes that are unusually small in size and unusually large in number. Although containing about a quarter of the genome, they contain around half the genes and three quarters of the total chromosome number. Nonetheless, they continue to belie analysis by cytogenetic means. Chromosomal rearrangements play a key role in genome evolution, fertility and genetic disease and thus tools for analysis of the microchromosomes are essential to analyse such phenomena in birds. Here, we report the development of chicken microchromosomal paint pools, generation of pairs of specific microchromosome BAC clones in chicken, and computational tools for in silico comparison of the genomes of microchromosomes. We demonstrate the use of these molecular and computational tools across species, suggesting their use to generate a clear picture of microchromosomal rearrangements between avian species. With increasing numbers of avian genome sequences that are emerging, tools such as these will find great utility in assembling genomes de novo and for asking fundamental questions about genome evolution from a chromosomal perspective.