Antigen binding and stability properties of non-covalently linked anti-CD22 single-chain Fv dimers

By varying linker length and domain orientation three multivalent derivatives of a monovalent anti-CD22 single-chain fragment variable (scFv) antibody were generated. Shortening the linker of the V(H)-V(L) oriented scFv to 5 or 0 residues resulted in the formation of diabodies or a mixture of tetramers and trimers, respectively. Unexpectedly, a V(L)-0-V(H) scFv assembled to homogenous dimers, remained substantially more stable than the V(H)-5-V(L) diabody when incubated in human serum at 37 degrees C, and retained its dimeric state when concentrated up to 4 mg/ml. These properties suggest the V(L)-0-V(H) scFv could become an attractive vehicle for the selective delivery of multiple effector molecules to CD22(+) tumor cells.     

A New Method for Locating Changes in a Tree Reveals Distinct Nucleotide Polymorphism vs Divergence Patterns in Mouse Mitochondrial Control Region

A new, model-based method was devised to locate nucleotide changes in a given phylogenetic tree. For each site, the posterior probability of any possible change in each branch of the tree is computed. This probabilistic method is a valuable alternative to the maximum parsimony method when base composition is skewed (i.e., different from 25% A, 25% C, 25% G, 25% T): computer simulations showed that parsimony misses more rare → common than common → rare changes, resulting in biased inferred change matrices, whereas the new method appeared unbiased. The probabilistic method was applied to the analysis of the mutation and substitution processes in the mitochondrial control region of mouse. Distinct change patterns were found at the polymorphism (within species) and divergence (between species) levels, rejecting the hypothesis of a neutral evolution of base composition in mitochondrial DNA. Received: 15 March 1999 / Accepted: 7 October 1999     

Association between chemokine receptor 5 delta32 polymorphism and susceptibility to cancer: a meta-analysis

Abstract

Objective: To explore whether the functional chemokine receptor 5 delta32 (CCR5-Δ32) polymorphism is associated with susceptibility to cancer. Methods: A meta-analysis was conducted on the association between the CCR5-Δ32 polymorphism and cancer using (i) allele contrast and (ii) the dominant model. Results: Thirteen articles, including 16 comparative studies on a total of 3087 patients and 3735 controls, were included in the meta-analysis. These studies encompassed breast cancer (n?=?3), bladder cancer (n?=?3), cervical cancer (n?=?2), pancreatic cancer (n?=?2), prostate cancer (n?=?2), head and neck cancer (n?=?2), lymphoma (n?=?1), gallbladder cancer (n?=?1), skin cancer (n?=?1) and mixed cancer (n?=?1). The meta-analysis revealed an association between cancer and the CCR5-Δ32 allele (OR?=?1.368, 95% CI?=?1.064–1.758, p?=?0.014), and stratification by ethnicity showed an association between the CCR5-Δ32 allele and cancer in Indians (OR?=?2.480, 95% CI?=?1.247–4.932, p?=?0.010). The meta-analysis also revealed an association between breast cancer and the CCR5-Δ32 allele (OR?=?1.689, 95% CI?=?1.012–2.821, p?=?0.045). However, allele contrast and the dominant model failed to reveal an association between the CCR5-Δ32 polymorphism and bladder cancer, cervical cancer, pancreatic cancer, prostate cancer, and head and neck cancer. Conclusions: This meta-analysis demonstrates that the CCR5-Δ32 polymorphism is associated with susceptibility to cancer in Indians and is associated with breast cancer.     

EVOLUTION OF HOST-PARASITE DIVERSITY

Hosts and parasites often have extensive genetic diversity for resistance and virulence (host range). Qualitative diversity occurs when the success of attack is an all-or-nothing response that varies according to the genotypes of the host and parasite. Quantitative diversity occurs when the success of attack is a graded response that depends on additive genetic variation in the host and parasite. Community diversity occurs when parasites vary in the success with which they can attack different host species, leading to a mixture of specialists and generalists. I developed a series of models that classify components of host-parasite interactions according to whether they cause stabilizing or disruptive selection for resistance and virulence. Stabilizing selection reduces diversity by favoring a single optimal phenotype. Disruptive selection creates diversity by favoring a mixture of widely separated phenotypes. The evolution of maximal resistance and virulence are opposed by one of three forces: metabolic costs, frequency dependence, or negative genetic correlations among beneficial traits. The models predict that qualitatively inherited resistance and virulence traits typically cause greater diversity than quantitatively inherited traits. However, each natural system is composed of many stabilizing factors that reduce diversity and disruptive factors that promote diversity. I advocate a style of modeling in which families of related assumptions are compared by their equilibrium properties, and general conclusions from equilibrium properties are tested by complete dynamical analysis. The comparison among models highlights the need for empirical studies that compare levels of diversity among related host-parasite systems.     

Ultra-low-density genotype panels for breed assignment of Angus and Hereford cattle

Angus and Hereford beef is marketed internationally for apparent superior meat quality attributes; DNA-based breed authenticity could be a useful instrument to ensure consumer confidence on premium meat products. The objective of this study was to develop an ultra-low-density genotype panel to accurately quantify the Angus and Hereford breed proportion in biological samples. Medium-density genotypes (13 306 single nucleotide polymorphisms (SNPs)) were available on 54 703 commercial and 4042 purebred animals. The breed proportion of the commercial animals was generated from the medium-density genotypes and this estimate was regarded as the gold-standard breed composition. Ten genotype panels (100 to 1000 SNPs) were developed from the medium-density genotypes; five methods were used to identify the most informative SNPs and these included the Delta statistic, the fixation (F_st) statistic and an index of both. Breed assignment analyses were undertaken for each breed, panel density and SNP selection method separately with a programme to infer population structure using the entire 13 306 SNP panel (representing the gold-standard measure). Breed assignment was undertaken for all commercial animals (n=54 703), animals deemed to contain some proportion of Angus based on pedigree (n=5740) and animals deemed to contain some proportion of Hereford based on pedigree (n=5187). The predicted breed proportion of all animals from the lower density panels was then compared with the gold-standard breed prediction. Panel density, SNP selection method and breed all had a significant effect on the correlation of predicted and actual breed proportion. Regardless of breed, the Index method of SNP selection numerically (but not significantly) outperformed all other selection methods in accuracy (i.e. correlation and root mean square of prediction) when panel density was ⩾300 SNPs. The correlation between actual and predicted breed proportion increased as panel density increased. Using 300 SNPs (selected using the global index method), the correlation between predicted and actual breed proportion was 0.993 and 0.995 in the Angus and Hereford validation populations, respectively. When SNP panels optimised for breed prediction in one population were used to predict the breed proportion of a separate population, the correlation between predicted and actual breed proportion was 0.034 and 0.044 weaker in the Hereford and Angus populations, respectively (using the 300 SNP panel). It is necessary to include at least 300 to 400 SNPs (per breed) on genotype panels to accurately predict breed proportion from biological samples.     

Genetic relationships among Chinese pigs and other pig populations from Hunan Province, China

In this study, protein-level polymorphisms of transferrin, pre-albumin, hemopexin, ceruloplasmin and amylase were investigated in Hunan native pigs and Large Yorkshire pigs collected from Hunan (a province of China), allowing calculations of allele frequencies, average heterozygosities, inbreeding coefficients and genetic distances. The genetic relationship between Southeast Asian native pigs and American pigs was more distant than those among Southeast Asian native pig breeds. The genetic relationship between Southeast Asian native pig breeds and Hampshire pigs was the most distant.     

Interaction between TGF-β1 (869C/T) polymorphism and biochemical risk factor for prediction of disease progression in rheumatoid arthritis

Objectives

Rheumatoid arthritis (RA) is a chronic inflammatory disease. Transforming growth factor-β1 (TGF-β1) may be a promising candidate gene for susceptibility and severity in RA. We aimed to determine whether TGF-β1 polymorphism is associated with susceptibility to RA and progression of joint destruction, as well as to identify the interaction between TGF-β1 polymorphism and biochemical risk factor.

Methods

A total of 160 RA patients and 168 healthy unrelated controls were tested for the TGF-β1 (869C/T) polymorphism using polymerase chain reaction.

Results

The TGF-β1 T allele was associated with susceptibility to RA. Within the RA group, TGF-β1 T allele carriers had a significant increased risk to develop osteoporosis (OR = 4.4, 95% CI = - 2. 4 – 8.1, P < 0.001), as well as more likely to develop bone erosion (OR = 1.7, 95% CI = 0. 99–2.7, P = 0. 034). Better prediction was achieved when the TGF-β1 TT genotype was used in combination with either elevated, rheumatoid factor (RF) or C-reactive protein (CRP) (OR = 6.8, 3.7 respectively). Also, they increased the risk to develop bone erosion in patients with rheumatoid arthritis (OR = 3.3, 9.8, P = 0.017, 0.001 respectively).

Conclusion

Our results suggest that TGF-β1 TT genotype may determine the development of osteoporosis and bone erosion in RA. Also, our results points to a synergism between TGF-β1 TT genotype and elevated serum RF or elevated CRP that lead to the development of osteoporosis and bone erosion in patients with rheumatoid arthritis.     

陕西汉族人群12号染色体上7个STR基因座的遗传多态性分析

分析了中国汉族人群中12号染色体上7个短串联重复序列（short tandem repeat,STR）基因座的多态性。 采用荧光标记基因扫描对12号染色体上D12S1718、D12S1675、D12S358、D12S367、D12S1638、D12S1646和D12S1682基因座在80名陕西咸阳、榆林汉族人中的遗传多态性进行分析。结果在中国汉族人群中, D12S1718、D12S1675、D12S358、D12S367、D12S1638、D12S1646和D12S1682基因座分别检出7、10、8、8、6、9和11个等位基因,10、17、18、18、14、18和26个基因型,杂合度分别为44.28％、66.10％、78.89％、77.89％、73.69％、74.55％和82.39％。表明这7个STR基因座在中国人群中有较好的多态性,其基因型分布均符合Hard－Weinberg平衡（P>0.05）。