Complement deficiencies limit CD20 monoclonal antibody treatment efficacy in CLL.

Monoclonal antibodies (MAbs) form a central part of chronic lymphocytic leukaemia (CLL) treatment. We therefore evaluated whether complement defects in CLL patients reduced the induction of complement-dependent cytotoxicity (CDC) by using anti-CD20 MAbs rituximab (RTX) and ofatumumab (OFA). Ofatumumab elicited higher CDC levels than RTX in all CLL samples examined, particularly in poor prognosis cohorts (11q- and 17p-). Serum sample analyses revealed that 38.1% of patients were deficient in one or more complement components, correlating with reduced CDC responses. Although a proportion of patients with deficient complement levels initially induced high levels of CDC, on secondary challenge CDC activity in sera was significantly reduced, compared with that in normal human serum (NHS; P<0.01; n=52). In addition, a high CLL cell number contributed to rapid complement exhaustion. Supplementing CLL serum with NHS or individual complement components, particularly C2, restored CDC on secondary challenge to NHS levels (P<0.0001; n=9). In vivo studies revealed that complement components were exhausted in CLL patient sera post RTX treatment, correlating with an inability to elicit CDC. Supplementing MAb treatment with fresh-frozen plasma may therefore maintain CDC levels in CLL patients with a complement deficiency or high white blood cell count. This study has important implications for CLL patients receiving anti-CD20 MAb therapy.

Murine models for chronic lymphocytic leukaemia.

CLL (chronic lymphocytic leukaemia) is characterized by the clonal outgrowth of B-lymphocytes with the distinctive phenotype: CD19(hi)CD5(+)CD23(+)IgM(lo). These malignant B-cells accumulate in the PB (peripheral blood) and lymphoid organs, and are generally arrested at the G(0)/G(1)-phase of cell cycle and display a resistance to apoptosis. To date, most of the CLL research has been carried out using PB samples obtained from patients with established CLL, which have proved instrumental in characterizing the disease. However, while CLL cells appear to have a defect in apoptosis in vivo, they rapidly undergo apoptosis ex vivo, suggesting that CLL cells are dependent on microenvironmental signals to enhance cell survival. One approach used to define the cellular and molecular events that govern CLL has been the development of murine models that replicate the human disease. As well as providing a deeper understanding of the potential triggers for CLL, these models provide preclinical in vivo systems to test novel therapies. The focus of the present review will be to highlight the recent advances in the development of mouse models for CLL.

The relationship between microbial community structure and functional stability, tested experimentally in an upland pasture soil.

Soil collected from an upland pasture was manipulated experimentally in ways shown previously to alter microbial community structure. One set of soil was subjected to chloroform fumigation for 0, 0.5, 2, or 24 h and the other was sterilised by gamma-irradiation and inoculated with a 10(-2), 10(-4), 10(-6), or 10(-8) dilution of a soil suspension prepared from unsterilized soil. Following incubation for 8 months, to allow for the stabilization of microbial biomass and activity, the resulting microbial community structure (determined by PCR-DGGE of bacterial specific amplification products of total soil DNA) was assessed. In addition, the functional stability (defined here as the resistance and resilience of short-term decomposition of plant residues to a transient heat or a persistent copper perturbation) was determined. Changes in the active bacterial population following perturbation (determined by RT-PCR-DGGE of total soil RNA) were also monitored. The manipulations resulted in distinct shifts in microbial community structure as shown by PCR-DGGE profiles, but no significant decreases in the number of bands. These shifts in microbial community structure were associated with a reduction in functional stability. The clear correlation between altered microbial community structure and functional stability observed in this upland pasture soil was not evident when the same protocols were applied to soils in other studies. RT-PCR-DGGE profiles only detected a shift in the active bacterial population following heat, but not copper, perturbation. We conclude that the functional stability of decomposition is related to specific components of the microbial community.

Spatial structure in soil chemical and microbiological properties in an upland grassland.

We characterised the spatial structure of soil microbial communities in an unimproved grazed upland grassland in the Scottish Borders. A range of soil chemical parameters, cultivable microbes, protozoa, nematodes, phospholipid fatty acid (PLFA) profiles, community-level physiological profiles (CLPP), intra-radical arbuscular mycorrhizal community structure, and eubacterial, actinomycete, pseudomonad and ammonia-oxidiser 16S rRNA gene profiles, assessed by denaturing gradient gel electrophoresis (DGGE) were quantified. The botanical composition of the vegetation associated with each soil sample was also determined. Geostatistical analysis of the data revealed a gamut of spatial dependency with diverse semivariograms being apparent, ranging from pure nugget, linear and non-linear forms. Spatial autocorrelation generally accounted for 40-60% of the total variance of those properties where such autocorrelation was apparent, but accounted for 97% in the case of nitrate-N. Geostatistical ranges extending from approximately 0.6-6 m were detected, dispersed throughout both chemical and biological properties. CLPP data tended to be associated with ranges greater than 4.5 m. There was no relationship between physical distance in the field and genetic similarity based on DGGE profiles. However, analysis of samples taken as close as 1 cm apart within a subset of cores suggested some spatial dependency in community DNA-DGGE parameters below an 8 cm scale. Spatial correlation between the properties was generally weak, with some exceptions such as between microbial biomass C and total N and C. There was evidence for scale-dependence in the relationships between properties. PLFA and CLPP profiling showed some association with vegetation composition, but DGGE profiling did not. There was considerably stronger association between notional sheep urine patches, denoted by soil nutrient status, and many of the properties. These data demonstrate extreme spatial variation in community-level microbiological properties in upland grasslands, and that despite considerable numeric ranges in the majority of properties, overarching controlling factors were not apparent.

Impacts of soil faunal community composition on model grassland ecosystems.

Human impacts, including global change, may alter the composition of soil faunal communities, but consequences for ecosystem functioning are poorly understood. We constructed model grassland systems in the Ecotron controlled environment facility and manipulated soil community composition through assemblages of different animal body sizes. Plant community composition, microbial and root biomass, decomposition rate, and mycorrhizal colonization were all markedly affected. However, two key ecosystem processes, aboveground net primary productivity and net ecosystem productivity, were surprisingly resistant to these changes. We hypothesize that positive and negative faunal-mediated effects in soil communities cancel each other out, causing no net ecosystem effects.

Numerical analysis of grassland bacterial community structure under different land management regimens by using 16S ribosomal DNA sequence data and denaturing gradient gel electrophoresis banding patterns.

Bacterial diversity in unimproved and improved grassland soils was assessed by PCR amplification of bacterial 16S ribosomal DNA (rDNA) from directly extracted soil DNA, followed by sequencing of ~45 16S rDNA clones from each of three unimproved and three improved grassland samples (A. E. McCaig, L. A. Glover, and J. I. Prosser, Appl. Environ. Microbiol. 65:1721-1730, 1999) or by denaturing gradient gel electrophoresis (DGGE) of total amplification products. Semi-improved grassland soils were analyzed only by DGGE. No differences between communities were detected by calculation of diversity indices and similarity coefficients for clone data (possibly due to poor coverage). Differences were not observed between the diversities of individual unimproved and improved grassland DGGE profiles, although considerable spatial variation was observed among triplicate samples. Semi-improved grassland samples, however, were less diverse than the other grassland samples and had much lower within-group variation. DGGE banding profiles obtained from triplicate samples pooled prior to analysis indicated that there was less evenness in improved soils, suggesting that selection for specific bacterial groups occurred. Analysis of DGGE profiles by canonical variate analysis but not by principal-coordinate analysis, using unweighted data (considering only the presence and absence of bands) and weighted data (considering the relative intensity of each band), demonstrated that there were clear differences between grasslands, and the results were not affected by weighting of data. This study demonstrated that quantitative analysis of data obtained by community profiling methods, such as DGGE, can reveal differences between complex microbial communities.

Expression of erbB-4/HER-4 growth factor receptor isoforms in ovarian cancer.

Immunohistochemical expression of erbB4 protein was identified in 93% (49 of 53) of ovarian cancers using the HFR-1 antibody (targeted to the cytoplasmic domain of the erbB4 receptor) and in 89% (47 of 53) of ovarian cancers using the H4.77.16 antibody (targeted to the extracellular domain). Tumors of serous histology were more likely to express a higher level of erbB4 than endometrioid tumors, and for stage III serous tumors, long-term survival was associated with moderate to high coexpression of erbB4 and erbB2. Within ovarian cancer cell lines, high erbB4 expression was associated with cisplatin resistance. Using reverse transcription-PCR, the presence of multiple isoforms of erbB4 mRNA was identified in both ovarian primary tumors and cell lines. Splice variants in the juxtamembrane (JM-a and JM-d) and cytoplasmic (CT-a and CT-b) regions were identified in mRNA of both cell lines and primary tumors. The use of an anti-erbB4 blocking antibody suggested that erbB4 was not the mediator of the growth stimulatory effects of neuregulin in ovarian cancer cells and indeed could potentially antagonize this effect.

Impact of cultivation on characterisation of species composition of soil bacterial communities.

The species composition of culturable bacteria in Scottish grassland soils was investigated using a combination of Biolog and 16S rDNA analysis for characterisation of isolates. The inclusion of a molecular approach allowed direct comparison of sequences from culturable bacteria with sequences obtained during analysis of DNA extracted directly from the same soil samples. Bacterial strains were isolated on Pseudomonas isolation agar (PIA), a selective medium, and on tryptone soya agar (TSA), a general laboratory medium. In total, 12 and 21 morphologically different bacterial cultures were isolated on PIA and TSA, respectively. Biolog and sequencing placed PIA isolates in the same taxonomic groups, the majority of cultures belonging to the Pseudomonas (sensu stricto) group. However, analysis of 16S rDNA sequences proved more efficient than Biolog for characterising TSA isolates due to limitations of the Microlog database for identifying environmental bacteria. In general, 16S rDNA sequences from TSA isolates showed high similarities to cultured species represented in sequence databases, although TSA-8 showed only 92.5% similarity to the nearest relative, Bacillus insolitus. In general, there was very little overlap between the culturable and uncultured bacterial communities, although two sequences, PIA-2 and TSA-13, showed >99% similarity to soil clones. A cloning step was included prior to sequence analysis of two isolates, TSA-5 and TSA-14, and analysis of several clones confirmed that these cultures comprised at least four and three sequence types, respectively. All isolate clones were most closely related to uncultured bacteria, with clone TSA-5.1 showing 99.8% similarity to a sequence amplified directly from the same soil sample. Interestingly, one clone, TSA-5.4, clustered within a novel group comprising only uncultured sequences. This group, which is associated with the novel, deep-branching Acidobacterium capsulatum lineage, also included clones isolated during direct analysis of the same soil and from a wide range of other sample types studied elsewhere. The study demonstrates the value of fine-scale molecular analysis for identification of laboratory isolates and indicates the culturability of approximately 1% of the total population but under a restricted range of media and cultivation conditions.

Species Diversity of Uncultured and Cultured Populations of Soil and Marine Ammonia Oxidizing Bacteria.

Although molecular techniques are considered to provide a more comprehensive view of species diversity of natural microbial populations, few studies have compared diversity assessed by molecular and cultivation-based approaches using the same samples. To achieve this, the diversity of natural populations of ammonia oxidising bacteria in arable soil and marine sediments was determined by analysis of 16S rDNA sequences from enrichment cultures, prepared using standard methods for this group, and from 16S rDNA cloned from DNA extracted directly from the same environmental samples. Soil and marine samples yielded 31 and 18 enrichment cultures, respectively, which were compared with 50 and 40 environmental clones. There was no evidence for selection for particular ammonia oxidizer clusters by different procedures employed for enrichment from soil samples, although no culture was obtained in medium at acid pH. In soil enrichment cultures, Nitrosospira cluster 3 sequences were most abundant, whereas clones were distributed more evenly between Nitrosospira clusters 2, 3, and 4. In marine samples, the majority of enrichment cultures contained Nitrosomonas, whereas Nitrosospira sequences were most abundant among environmental clones. Soil enrichments contained a higher proportion of identical sequences than clones, suggesting laboratory selection for particular strains, but the converse was found in marine samples. In addition, 16% of soil enrichment culture sequences were identical to those in environmental clones, but only 1 of 40 marine enrichments was found among clones, indicating poorer culturability of marine strains represented in the clone library, under the conditions employed. The study demonstrates significant differences in species composition assessed by molecular and culture-based approaches but indicates also that, employing only a limited range of cultivation conditions, 7% of the observed sequence diversity in clones of ammonia oxidizers from these environments could be obtained in laboratory enrichment culture. Further studies and experimental approaches are required to determine which approach provides better representation of the natural community.

Molecular analysis of bacterial community structure and diversity in unimproved and improved upland grass pastures.

Bacterial community structure and diversity in rhizospheres in two types of grassland, distinguished by both plant species and fertilization regimen, were assessed by performing a 16S ribosomal DNA (rDNA) sequence analysis of DNAs extracted from triplicate soil plots. PCR products were cloned, and 45 to 48 clones from each of the six libraries were partially sequenced. Phylogenetic analysis of the resultant 275 clone sequences indicated that there was considerable variation in abundance in replicate unfertilized, unimproved soil samples and fertilized, improved soil samples but that there were no significant differences in the abundance of any phylogenetic group. Several clone sequences were identical in the 16S rDNA region analyzed, and the clones comprised eight pairs of duplicate clones and two sets of triplicate clones. Many clones were found to be most closely related to environmental clones obtained in other studies, although three clones were found to be identical to culturable species in databases. The clones were clustered into operational taxonomic units at a level of sequence similarity of >97% in order to quantify diversity. In all, 34 clusters containing two or more sequences were identified, and the largest group contained nine clones. A number of diversity, dominance, and evenness indices were calculated, and they all indicated that diversity was high, reflecting the low coverage of rDNA libraries achieved. Differences in diversity between sample types were not observed. Collector's curves, however, indicated that there were differences in the underlying community structures; in particular, there was reduced diversity of organisms of the alpha subdivision of the class Proteobacteria (alpha-proteobacteria) in improved soils.

Nitrogen cycling and community structure of proteobacterial beta-subgroup ammonia-oxidizing bacteria within polluted marine fish farm sediments.

A multidisciplinary approach was used to study the effects of pollution from a marine fish farm on nitrification rates and on the community structure of ammonia-oxidizing bacteria in the underlying sediment. Organic content, ammonium concentrations, nitrification rates, and ammonia oxidizer most-probable-number counts were determined in samples of sediment collected from beneath a fish cage and on a transect at 20 and 40 m from the cage. The data suggest that nitrogen cycling was significantly disrupted directly beneath the fish cage, with inhibition of nitrification and denitrification. Although visual examination indicated some slight changes in sediment appearance at 20 m, all other measurements were similar to those obtained at 40 m, where the sediment was considered pristine. The community structures of proteobacterial beta-subgroup ammonia-oxidizing bacteria at the sampling sites were compared by PCR amplification of 16S ribosomal DNA (rDNA), using primers which target this group. PCR products were analyzed by denaturing gradient gel electrophoresis (DGGE) and with oligonucleotide hybridization probes specific for different ammonia oxidizers. A DGGE doublet observed in PCR products from the highly polluted fish cage sediment sample was present at a lower intensity in the 20-m sample but was absent from the pristine 40-m sample station. Band migration, hybridization, and sequencing demonstrated that the doublet corresponded to a marine Nitrosomonas group which was originally observed in 16S rDNA clone libraries prepared from the same sediment samples but with different PCR primers. Our data suggest that this novel Nitrosomonas subgroup was selected for within polluted fish farm sediments and that the relative abundance of this group was influenced by the extent of pollution.

Molecular diversity of soil and marine 16S rRNA gene sequences related to beta-subgroup ammonia-oxidizing bacteria.

We have conducted a preliminary phylogenetic survey of ammonia-oxidizing beta-proteobacteria, using 16S rRNA gene libraries prepared by selective PCR and DNA from acid and neutral soils and polluted and nonpolluted marine sediments. Enrichment cultures were established from samples and analyzed by PCR. Analysis of 111 partial sequences of c. 300 bases revealed that the environmental sequences formed seven clusters, four of which are novel, within the phylogenetic radiation defined by cultured autotrophic ammonia oxidizers. Longer sequences from 13 cluster representatives support their phylogenetic positions relative to cultured taxa. These data suggest that known taxa may not be representative of the ammonia-oxidizing beta-proteobacteria in our samples. Our data provide further evidence that molecular and culture-based enrichment methods can select for different community members. Most enrichments contained novel Nitrosomonas-like sequences whereas novel Nitrosospira-like sequences were more common from gene libraries of soils and marine sediments. This is the first evidence for the occurrence of Nitrosospira-like strains in marine samples. Clear differences between the sequences of soil and marine sediment libraries were detected. Comparison of 16S rRNA sequences from polluted and nonpolluted sediments provided no strong evidence that the community composition was determined by the degree of pollution. Soil clone sequences fell into four clusters, each containing sequences from acid and neutral soils in varying proportions. Our data suggest that some related strains may be present in both samples, but further work is needed to resolve whether there is selection due to pH for particular sequence types.

Molecular analysis of enrichment cultures of marine ammonia oxidisers.

Marine ammonia oxidising bacteria were enriched by incubation of sea water, amended with ammonium sulphate, and subsequent subculture in liquid inorganic medium. PCR primers were designed to be specific for rDNA sequences from ammonia oxidisers belonging to the beta-sub-group of the proteobacteria. These primers were then used to amplify rRNA genes from ammonia oxidiser enrichment cultures containing heterotrophs. PCR products were recovered from all cultures in which complete ammonia oxidation occurred. Subsequent rDNA sequence analysis indicated the presence of three new lineages within the clade defined by sequences of cultured beta-sub-group ammonia oxidisers. Two of the new lineages showed moderate similarity to sequences from pure cultures of ammonia oxidisers previously isolated from marine and brackish environments. The third lineage (AEM-3) was deep branching and occupied an intermediate position between clades defined by Nitrosomonas or Nitrosospira, which were isolated from soil or sewage. The phylogenetic analysis suggests that, in enrichment cultures, the primers are specific for members of the target group, the beta-proteobacteria ammonia oxidisers. The results also indicate the presence of previously unknown ammonia oxidisers in marine samples. The approach enabled analysis of ammonia oxidiser enrichments at an early stage and without the requirement for isolation of pure cultures, significantly reducing the time required and facilitating quantitative assessment of relatedness of strains.