Use of conformation sensitive gel electrophoresis to detect single-base changes in the gene for COL10A1

Ethics and Privacy Considerations for Systems Biology Applications in Predictive and Personalized Medicine

Integrative analysis and modeling of the omics data using systems biology have led to growing interests in the development of predictive and personalized medicine. Personalized medicine enables future physicians to prescribe the right drug to the right patient at the right dosage, by helping them link each patient’s genotype to their specific disease conditions. This chapter shares technological, ethical, and social perspectives on emerging personalized medicine applications. First, it examines the history and research trends of pharmacogenomics, systems biology, and personalized medicine. Next, it presents bioethical concerns that arise from dealing with the increasing accumulation of biological samples in many biobanking projects today. Lastly, the chapter describes growing concerns over patient privacy when large amount of individuals’ genetic data and clinical data are managed electronically and accessible online.

DNA repair protein biomarkers associated with time to recurrence in triple-negative breast cancer

PURPOSE

To evaluate the prognostic utility of immunohistochemical assessment of key proteins in multiple DNA repair pathways in triple-negative breast cancer (TNBC; estrogen receptor negative, progesterone receptor negative, and HER2/neu negative by immunohistochemistry).

EXPERIMENTAL DESIGN

Archived clinically annotated tumor specimens from 112 women with TNBC were immunostained with antibodies against DNA repair proteins and scored using digital image analysis. The cohort was divided into training and test sets for development of a multiantibody model. Scores were combined with clinical data to assess association with outcome.

RESULTS

Low XPF (P = 0.005), pMK2 (P = 0.01), MLH; P = 0.002), and FANCD2 (P = 0.001) were each associated with shorter time to recurrence (TTR) in univariate analysis. A 4-antibody model could segregate high-risk and low-risk groups on the basis of TTR in both the training (relative risk [RR] = 3.52; P = 9.05E-07) and test (RR 2.67; P = 0.019) cohorts.

CONCLUSIONS

DNA repair proteins may be useful as prognostic markers in TNBC. Further study in larger, uniformly treated cohorts with additional clinical parameters is warranted.

Variable bone fragility associated with an Amish COL1A2 variant and a knock-in mouse model

Osteogenesis imperfecta (OI) is a heritable form of bone fragility typically associated with a dominant COL1A1 or COL1A2 mutation. Variable phenotype for OI patients with identical collagen mutations is well established, but phenotype variability is described using the qualitative Sillence classification. Patterning a new OI mouse model on a specific collagen mutation therefore has been hindered by the absence of an appropriate kindred with extensive quantitative phenotype data. We benefited from the large sibships of the Old Order Amish (OOA) to define a wide range of OI phenotypes in 64 individuals with the identical COL1A2 mutation. Stratification of carrier spine (L1-4) areal bone mineral density (aBMD) Z-scores demonstrated that 73% had moderate to severe disease (less than -2), 23% had mild disease (-1 to -2), and 4% were in the unaffected range (greater than -1). A line of knock-in mice was patterned on the OOA mutation. Bone phenotype was evaluated in four F(1) lines of knock-in mice that each shared approximately 50% of their genetic background. Consistent with the human pedigree, these mice had reduced body mass, aBMD, and bone strength. Whole-bone fracture susceptibility was influenced by individual genomic factors that were reflected in size, shape, and possibly bone metabolic regulation. The results indicate that the G610C OI (Amish) knock-in mouse is a novel translational model to identify modifying genes that influence phenotype and for testing potential therapies for OI.

Mutations of COL10A1 in Schmid metaphyseal chondrodysplasia

Schmid metaphyseal chondrodysplasia (SMCD) is a dominantly inherited cartilage disorder caused by mutations in the gene for the hypertrophic cartilage extracellular matrix structural protein, collagen X (COL10A1). Thirty heterozygous mutations have been described, about equally divided into two mutation types, missense mutations, and mutations that introduce premature termination signals. The COL10A1 mutations are clustered (33/36) in the 3' region of exon 3, which codes for the C-terminal NC1 trimerization domain. The effect of COL10A1 missense mutations have been examined by in vitro expression and assembly assays and cell transfection studies, which suggest that a common consequence is the disruption of collagen X trimerization and secretion, with consequent intracellular degradation. The effect of COL10A1 nonsense mutations in cartilage tissue has been examined in two patients, demonstrating that the mutant mRNA is completely removed by nonsense mediated mRNA decay. Thus for both classes of mutations, functional haploinsufficiency is the most probable cause of the clinical phenotype in SMCD.

An update on conformation sensitive gel electrophoresis

Conformation-sensitive gel electrophoresis (CSGE) was developed as a method of heteroduplex analysis to screen large multi-exon genes for sequence variation. The novelty of the method was in the use of a non-proprietary acrylamide gel matrix that used 1,4-bis (acrolyl) piperazine (BAP) as a cross linker with ethylene glycol and formamide as mildly denaturing solvents. The denaturing environment enhances the conformation polymorphism present in DNA heteroduplexes containing variations as small as single nucleotide polymorphisms (SNPs). CSGE has also been adapted for use on a fluorescent platform (F-CSGE) that resulted in higher throughput and sensitivity. Variation in sensitivity of CSGE has been studied extensively. The results demonstrate that the nature of the mismatched base in a defined sequence context has the most profound effect on the conformation of the heteroduplex. Additionally, the size of the PCR product, as well as the location of the mismatch within the PCR product, are two important parameters that determine the resolution of the mismatch-containing heteroduplexes during CSGE. Like any other mutation scanning technique, CSGE can have limited resolution of two closely linked sequence variations. For specific genes, like BRCA1 and BRCA2 where multiple SNPs are present in the coding sequence, each CSGE shift has to be sequenced to define the exact nature of the sequence change. In conclusion, CSGE scanning provides a powerful, cost-efficient way to scan genes with high sensitivity and specificity.