Glucocorticoid (GC)-induced apoptosis is essential in the treatment of acute lymphoblastic leukemia (ALL) and related malignancies. Pro-and anti-apoptotic members of the BCL2 family control many forms of apoptotic cell death, but the extent to which this survival 'rheostat' is involved in the beneficial effects of GC therapy is not understood. We performed systematic analyses of expression, GC regulation and function of BCL2 molecules in primary ALL lymphoblasts and a corresponding in vitro model. Affymetrix-based expression profiling revealed that the response included regulations of pro-apoptotic and, surprisingly, anti-apoptotic BCL2 family members, and varied among patients, but was dominated by induction of the BH3-only molecules BMF and BCL2L11/Bim and repression of PMAIP1/Noxa. Conditional lentiviral gene overexpression and knock-down by RNA interference in the CCRF-CEM model revealed that induction of Bim, and to a lesser extent that of BMF, was required and sufficient for apoptosis. Although anti-apoptotic BCL2 members were not regulated consistently by GC in the various systems, their overexpression delayed, whereas their knock-down accelerated, GC-induced cell death. Thus, the combined clinical and experimental data suggest that GCs induce both pro-and antiapoptotic BCL2 family member-dependent pathways, with the outcome depending on cellular context and additional signals feeding into the BCL2 rheostat.

Next generation sequencing (NGS) offers the opportunity to analyse forensic DNA samples and obtain massively parallel coverage of targeted short sequences with the variants they carry. We evaluated the levels of sequence coverage, genotyping precision, sensitivity and mixed DNA patterns of a prototype version of the first commercial forensic NGS kit: the HID-Ion AmpliSeq™ Identity Panel with 169-markers designed for the Ion PGM™ system. Evaluations were made between three laboratories following closely matched Ion PGM™ protocols and a simple validation framework of shared DNA controls. The sequence coverage obtained was extensive for the bulk of SNPs targeted by the HID-Ion AmpliSeq™ Identity Panel. Sensitivity studies showed 90-95% of SNP genotypes could be obtained from 25 to 100pg of input DNA. Genotyping concordance tests included Coriell cell-line control DNA analyses checked against whole-genome sequencing data from 1000 Genomes and Complete Genomics, indicating a very high concordance rate of 99.8%. Discordant genotypes detected in rs1979255, rs1004357, rs938283, rs2032597 and rs2399332 indicate these loci should be excluded from the panel. Therefore, the HID-Ion AmpliSeq™ Identity Panel and Ion PGM™ system provide a sensitive and accurate forensic SNP genotyping assay. However, low-level DNA produced much more varied sequence coverage and in forensic use the Ion PGM™ system will require careful calibration of the total samples loaded per chip to preserve the genotyping reliability seen in routine forensic DNA. Furthermore, assessments of mixed DNA indicate the user's control of sequence analysis parameter settings is necessary to ensure mixtures are detected robustly. Given the sensitivity of Ion PGM™, this aspect of forensic genotyping requires further optimisation before massively parallel sequencing is applied to routine casework.

Emerging next-generation sequencing technologies will enable DNA analyses to add pigmentation predictive and ancestry informative (AIM) SNPs to the range of markers detectable from a single PCR test. This prompted us to re-appraise current forensic and genomics AIM-SNPs and from the best sets, to identify the most divergent markers for a five population group differentiation of Africans, Europeans, East Asians, Native Americans and Oceanians by using our own online genome variation browsers. We prioritized careful balancing of population differentiation across the five group comparisons in order to minimize bias when estimating co-ancestry proportions in individuals with admixed ancestries. The differentiation of European from Middle East or South Asian ancestries was not chosen as a characteristic in order to concentrate on introducing Oceanian differentiation for the first time in a forensic AIM set. We describe a complete set of 128 AIM-SNPs that have near identical population-specific divergence across five continentally defined population groups. The full set can be systematically reduced in size, while preserving the most informative markers and the balance of population-specific divergence in at least four groups. We describe subsets of 88, 55, 28, 20 and 12 AIMs, enabling both new and existing SNP genotyping technologies to exploit the best markers identified for forensic ancestry analysis.

Glucocorticoids (GCs) induce apoptosis in lymphoid lineage cells and are therefore used in the therapy of acute lymphoblastic leukemia (ALL) and related malignancies. MicroRNAs (miRNAs) and the related mirtrons are B22 nucleotide RNAs derived from polymerase-II transcripts and implicated in the control of essential biological functions, including apoptosis. Whether GCs regulate miRNA-encoding transcription units is unknown. We investigated miRNA/mirtron expression and GC regulation in 8 leukemia/lymphoma in vitro models and 13 ALL children undergoing systemic GC monotherapy using a combination of expression profiling techniques, real time reverse transcription (RT)-PCR and northern blotting to detect mature miRNAs and/or their precursors. We found that mature miRNA regulations can be inferred from expression data of their host genes. Although a simple miRNA-initiated canonical pathway to GC-induced apoptosis or cell cycle arrest did not emerge, we identified several miRNAs/mirtrons that were regulated by GC in patients and cell lines, including the myeloid-specific miR-223 and the apoptosis and cell cycle arrest-inducing miR15B16 clusters. In an in vitro model, overexpression of miR15bB16 mimics increased and silencing by miR15bB16 inhibitors decreased GC sensitivity. Thus, the observed complex changes in miRNA/mirtron expression during GC treatment might contribute to the anti-leukemic GC effects in a cell context-dependent manner.

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