Expression profiling of haematopoietic cells is hampered by the heterogeneous nature of haematopoietic tissues and the absolute rarity of early unrestricted progenitors. To overcome this, the expression profile of lymphoid and myeloid-associated genes (LEF1, EBF, CD19, Sox-4, B29, CD45, C-fms, lysozyme, PU.1 and CD5) were investigated in 40 mouse myeloid haematopoietic precursors covering the entire haematopoietic hierarchy from multipotential to committed single lineages. The lineage-specific expression seen in single-cell studies was confirmed by examining fractionated bone marrow, whole tissues and differentiation of the multipotent cell line FDCP (Factor Dependent Cell Paterson) mix. Analysis of the 40 single myeloid precursors failed to detect expression of lymphoid-associated genes, LEF1, EBF, CD19 and CD5, despite detection in lymphoid cell controls. Surprisingly, the lymphoid-associated genes, Sox-4 and B29 were detected in the single myeloid precursors, which was confirmed in bone marrow and a multipotential myeloid cell line. The pattern of Sox-4 and B29, is consistent with a potential role in the commitment of bipotential granulocytic/macrophage precursors towards the granulocyte or macrophage lineage. In addition to providing baseline values for myeloid and lymphoid lineage markers during mouse haematopoiesis, these results highlight the importance of single-cell analysis in the study of complex tissues.

Cancer subtype diagnosis using microarray signatures has the potential to transform pathological diagnosis but the routine measurement of genes signatures remains difficult. Reverse transcription polymerase chain reaction (RT-PCR) measurement of Indicator genes for acute myeloid leukaemia (AML) and acute lymphoblastic leukaemia (ALL) was used to determine gene signatures. Bone marrow (BM) mononuclear cells were sorted into total, CD34(+) and CD34(-) fractions, and mRNAs globally amplified from each fraction using polyA PCR. The expression profile of the 17 top-ranked genes distinguishing AML and ALL were measured by RT-PCR in five ALL, 26 AML, 12 AML remission, four chronic myeloid leukaemia (CML) and nine morphologically normal BM samples. All but two of the genes measured showed similar expression in AML and ALL to that reported previously. Specifically, c-MYB (P </= 0.04) was significantly increased in ALL in the total fraction, whilst HOXA9 (P </= 0.19) and cystatin c (P </= 0.01) were increased in AML in the CD34(+) and CD34(-) fractions, respectively. c-MYB, hSNF2, RBAP48, HKRT-1, LYN, CD33, Adipsin and HOXA9 were increased in AML compared with remission AML, indicating an ability to determine disease activity. The method used is simple, sensitive and robust, enabling routine clinical use, and it can also be extended to other tumours types with gene signatures.

Cancer subtype discovery and classification using microarray gene signatures has the potential to transform pathological diagnosis but measurement of indicator genes in routine practice remains difficult. We tested use of real-time PCR measurement of indicator genes for AML and ALL (Golub et al, Science, 1999) as a method for validation and application of microarray gene signatures. Mononuclear cells (MC) were isolated from whole bone marrow (BM) aspirates by density gradient centrifugation and sorted into unselected (total), CD34+ve and CD34-ve fractions. The mRNA in each fraction was globally amplified using a PolyA PCR method. We measured the expression profile of the 17 top ranked genes (cystatin C, leptin receptor, fumarylacetoacetate, CD33, HoxA9, adipsin, proteoglycan 1, LTC4 synthase, LYN, C-myb, MB-1, cyclin D3, SNF2, RbAp48, proteasome iota, HkrT-1 and E2A) from Golub et al (1999) by real-time PCR. All values were calibrated against control standards and normalized to the mean of three housekeeping genes (IF2-beta, GAPDH and human ribosomal protein S9). Data for all 17 genes were obtained for 4 (ALL), 26 (AML), 12 (AML remission) and 9 (morphologically normal) BM samples, each fractionated into three fractions (total MC, CD34+ve MC & CD34−ve MC). There was no significant difference in the mean of three housekeeping gene expression levels between the diagnostic groups. Comparison of the expression level of the other genes confirmed ability to separate AML and ALL, whilst the direction of expression change (increased or decreased) for each gene between AML and ALL was the same as found by Golub et al. In particular, c-myb showed largest significant increase in ALL vs AML in the total BM fraction, whilst cystain c was increased in AML in the CD34−ve fraction. hSNF2b was significantly increased in the ALL total B.M fraction and Hox-A9 was significantly increased in the AML CD34+ve B.M fraction. Furthermore expression level of LYN and CD33 was significantly increased in AML compared to remission AML, indicating ability of the method to determine activity status of disease. In addition, several of the genes provided better separation between AML and ALL when measured in the CD34+ve and −ve fractions indicating more prominent expression in cells of different maturity and that prior fractionation is diagnostically more informative. The results demonstrate ability of the method to validate gene expression signatures by an independent method, which is simple, sensitive and robust, allowing translation to routine clinical use. Whilst the present study used AML and ALL, in principle the method could be extended to any other tumor type for which gene signatures exist.

Objective: Notch signalling is known to promote hematopoietic stem cell self-renewal and to influence the lineage commitment decisions of progenitor cells. The purpose of this study was to investigate the mechanism of Notch-induced apoptosis in the erythroleukaemic cell line TF-1, and in primary cord blood CD34+ cells.Methods: Retroviral constructs containing constitutively active forms of Notch as well as components of the Notch signalling pathway were used to transduce cells and their effect on cell cycle kinetics and apoptosis assayed by immunostaining for the S-phase marker Ki67 and Annexin V.Results: We found that TF-1 cells undergo cell cycle arrest followed by apoptosis in a cytokine-independent manner in response to active Notch. Transduction of TF-1 cells with known targets of Notch signalling, Deltex1, HES1 and HERP2, showed that Notch-induced cell cycle arrest was not mediated by these proteins. However, analysis of cell cycle gene expression revealed that Notch signalling was associated with an up-regulation of IFI16 expression in TF-1 cells and in primary cord blood CD34+ cells.Conclusion: These data demonstrate that, in the context of TF-1 cells, Notch signalling can induce cell cycle arrest and apoptosis. (C) 2008 Elsevier Inc. All rights reserved.

We have developed a method that allows quantitative amplification of single-stranded DNA (QAOS) in a sample that is primarily double-stranded DNA (dsDNA). Single-stranded DNA (ssDNA) is first captured by annealing a tagging primer at low temperature. Primer extension follows to create a novel, ssDNA-dependent, tagged molecule that can be detected by PCR. Using QAOS levels of between 0.2 and 100% ssDNA can be accurately quantified. We have used QAOS to characterise ssDNA levels at three loci near the right telomere of chromosome V in budding yeast cdc13-1 mutants. Our results confirm and extend previous studies which demonstrate that when Cdc13p, a telomere-binding protein, is disabled, loci close to the telomere become single stranded whereas centromere proximal sequences do not. In contrast to an earlier model, our new results are consistent with a model in which a RAD24-dependent, 5' to 3' exonuclease moves from the telomere toward the centromere in cdc13-1 mutants. QAOS has been adapted, using degenerate tagging primers, to preferentially amplify all ssDNA sequences within samples that are primarily dsDNA. This approach may be useful for identifying ssDNA sequences associated with physiological or pathological states in other organisms.

We have developed a sensitive quantitative RT–PCR procedure suitable for the analysis of small samples, including single cells, and have used it to measure levels of potassium channel mRNAs in a panel of human tissues and small numbers of cells grown in culture. The method involves an initial global amplification of cDNA derived from all added polyadenylated mRNA followed by quantitative RT–PCR of individual genes using specific primers. In order to facilitate rapid and accurate processing of samples, we have adapted the approach to allow use of TaqMan™ real-time quantitative PCR. We demonstrate that the approach represents a major improvement over existing conventional and real-time quantitative PCR approaches, since it can be applied to samples equivalent to a single cell, is able to accurately measure expression levels equivalent to less than 1/100th copy/cell (one specific cDNA molecule present amongst 108 total cDNA molecules). Furthermore, since the initial step involves a global amplification of all expressed genes, a permanent cDNA archive is generated from each sample, which can be regenerated indefinitely for further expression analysis.

cDNA subtraction was employed to uncover differences in gene expression between myeloproliferative polycythaemia vera (PV) and normal haematopoietic precursors. Following cDNA subtraction using mRNAs isolated from PV and normal CD34+/CD33- bone-marrow cells, expression of the tumour suppressor H19 was found to be low or absent in the PV sample. Low levels of H19 expression in PV patients were confirmed by in situ hybridization. Using semi-quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) to examine expression in the pluripotent haematopoietic cell line FDCP-mix and single bone-marrow precursors, unambiguous IGF2 and H19 expression was demonstrated in normal haematopoietic precursors. Examination of individual bone-marrow precursors revealed that all IGF2-expressing haematopoietic precursors also co-expressed H19, indicating that H19 and IGF2 may be co-ordinately regulated during haematopoiesis. Analysis of FDCP-mix undergoing differentiation and single pluripotent and committed bone-marrow precursors revealed that the pattern of H19 expression coincided with the commitment to a single lineage. Taken together, these observations demonstrate that H19 and IGF2 are specifically expressed during haematopoiesis and that low levels of H19 expression are associated with PV and may contribute to the pathology of the disease.

Increasingly mRNA expression patterns established using a variety of molecular technologies such as cDNA microarrays, SAGE and cDNA display are being used to identify potential regulatory genes and as a means of providing valuable insights into the biological status of the starting sample. Until recently, the application of these techniques has been limited to mRNA isolated from millions or, at very best, several thousand cells thereby restricting the study of small samples and complex tissues. To overcome this limitation a variety of amplification approaches have been developed which are capable of broadly evaluating mRNA expression patterns in single cells. This review will describe approaches that have been employed to examine global gene expression patterns either in small numbers of cells or, wherever possible, in actual isolated single cells. The first half of the review will summarize the technical aspects of methods developed for single-cell analysis and the latter half of the review will describe the areas of biological research that have benefited from single-cell expression analysis.

Apoptosis specific proteins (ASP) are expressed in the cytoplasm of cultured mammalian cells of various lineages following induction of apoptosis. The cDNA encoding ASP has been cloned from a human expression library and has significant homology to the Saccharomyces cerevisiae APG5 gene which is essential for yeast autophagy. The ASP gene, known as hAPG5, can be transcribed to give mRNAs of 3.3 kbp, 2.5 kbp and 1.8 kbp which are present at comparable levels in viable and apoptotic cells, demonstrating that protein expression must be regulated at the translational level. These data indicate a possible relationship between apoptosis and autophagy and suggest evolutionary conservation in mammalian apoptosis of a degradative process present in yeast.