Highly sensitive revealing of PCR products with capillary electrophoresis based on single photon detection

Post-PCR fragment analysis was conducted using our single photon detection-based DNA sequencing instrument in order to substantially enhance the detection of nucleic biomarkers. Telomerase Repeat Amplification Protocol assay was used as a model for real-time PCR-based amplification and detection of DNA. Using TRAPeze XL kit, telomerase-extended DNA fragments were obtained in extracts of serial 10-fold dilutions of telomerase-positive cells, then amplified and detected during 40-cycle real-time PCR. Subsequently, characteristic 6-base DNA ladder patterns were revealed in the post-PCR samples with capillary electrophoresis (CE). In our CE instrument, fluorescently labeled DNA fragments separate in a single-capillary module and are illuminated by a fiberized Ar-ion laser. The laser-induced fluorescence (LIF) is filtered and detected by the fiberized single photon detector (SPD). To assess the sensitivity of our instrument, we performed PCR at fewer cycles (29 and 25), so that the PCR machine could detect amplification only in the most concentrated samples, and then examined samples with CE. Indeed, PCR has detected amplification in samples with minimum 10(4) cells at 29 cycles and over 10(5) cells at 25 cycles. In contrast, the SPD-based CE-LIF has revealed 6-base repeats in samples with as low as 10(2) cells after 29 cycles and 10(3) cells after 25 cycles. Thus, we have demonstrated 100- to 1000-fold increase in the sensitivity of biomarker detection over real-time PCR, making our approach especially suitable for analysis of clinical samples where abundant PCR inhibitors often cause false-negative results.     

Reduced activity of plastid protoporphyrinogen oxidase causes attenuated photodynamic damage during high-light compared to low-light exposure

Protoporphyrinogen oxidase (EC 1.3.3.4, PPOX) is the last enzyme in the branched tetrapyrrole biosynthetic pathway, before its substrate protoporphyrin is directed to the Mg and Fe branches for chlorophyll and haem biosynthesis, respectively. The enzyme exists in many plants in two similar isoforms, which are either exclusively located in plastids (PPOX I) or in mitochondria and plastids (PPOX II). Antisense RNA expression inhibited the formation of PPOX I in transgenic tobacco plants, which showed reduced growth rate and necrotic leaf damage. The cytotoxic effect is attributed to accumulation of photodynamically acting protoporphyrin. The expression levels of PPOX I mRNA and protein and the cellular enzyme activities were reduced to similar extents in transgenic plants grown under low- or high-light conditions (70 and 530 mumol photons m(-2) sec(-1)). More necrotic leaf lesions were surprisingly generated under low- than under high-light exposure. Several reasons were explored to explain this paradox and the intriguing necrotic phenotype of PPOX-deficient plants under both light intensity growth conditions. The same reduction of PPOX expression and activity under both light conditions led to similar initial protoporphyrin, but to faster decrease in protoporphyrin content during high light. It is likely that a light intensity-dependent degradation of reduced and oxidized porphyrins prevents severe photodynamic leaf damage. Moreover, under high-light conditions, elevated contents of reduced and total low-molecular-weight antioxidants contribute to the protection against photosensitizing porphyrins. These reducing conditions stabilize protoporphyrinogen in plastids and allow their redirection into the metabolic pathway.     

Decorin regulates assembly of collagen fibrils and acquisition of biomechanical properties during tendon development

Tendon function involves the development of an organized hierarchy of collagen fibrils. Small leucine-rich proteoglycans have been implicated in the regulation of fibrillogenesis and decorin is the prototypic member of this family. Decorin-deficient mice demonstrate altered fibril structure and mechanical function in mature skin and tail tendons. However, the developmental role(s) of decorin needs to be elucidated. To define these role(s) during tendon development, tendons (flexor digitorum longus) were analyzed ultrastructurally from postnatal day 10 to 90. Decorin-deficient tendons developed abnormal, irregularly contoured fibrils. Finite mixture modeling estimated that the mature tendon was a three-subpopulation mixture of fibrils with characteristic diameter ranges. During development, in each subpopulation the mean diameter was consistently larger in mutant mice. Also, diameter distributions and the percentage of fibrils in each subpopulation were altered. Biomechanical analyses demonstrated that mature decorin-deficient tendons had significantly reduced strength and stiffness; however, there was no reduction in immature tendons. Expression of decorin and biglycan, a closely related family member, was analyzed during development. Decorin increased with development while biglycan decreased. Spatially, both had a comparable localization throughout the tendon. Biglycan expression increased substantially in decorin-deficient tendons suggesting a potential functional compensation. The accumulation of structural defects during fibril growth, a period associated with decorin expression and low biglycan expression, may be the cause of compromised mechanical function in the absence of decorin. Our findings indicate that decorin is a key regulatory molecule and that the temporal switch from biglycan to decorin is an important event in the coordinate regulation of fibrillogenesis and tendon development.     

Comparative structural analysis of a novel glutathioneS-transferase (ATU5508) from Agrobacterium tumefaciens at 2.0 A resolution

Glutathione S-transferases (GSTs) comprise a diverse superfamily of enzymes found in organisms from all kingdoms of life. GSTs are involved in diverse processes, notably small-molecule biosynthesis or detoxification, and are frequently also used in protein engineering studies or as biotechnology tools. Here, we report the high-resolution X-ray structure of Atu5508 from the pathogenic soil bacterium Agrobacterium tumefaciens (atGST1). Through use of comparative sequence and structural analysis of the GST superfamily, we identified local sequence and structural signatures, which allowed us to distinguish between different GST classes. This approach enables GST classification based on structure, without requiring additional biochemical or immunological data. Consequently, analysis of the atGST1 crystal structure suggests a new GST class, distinct from previously characterized GSTs, which would make it an attractive target for further biochemical studies.     

Human leukocyte antigen and interleukin 2, 10 and 12p40 cytokine responses to measles: is there evidence of the HLA effect?

HLA class I and class II associations were examined in relation to measles virus-specific cytokine responses in 339 healthy children who had received two doses of live attenuated measles vaccine. Multivariate linear regression modeling analysis revealed suggestions of associations between the expression of DPA1*0201 (p=0.03) and DPA1*0202 (p=0.09) alleles and interleukin-2 (IL-2) cytokine production (global p-value 0.06). Importantly, cytokine production and DQB1 allele associations (global p-value 0.04) revealed that the alleles with the strongest association with IL-10 secretion were DQB1*0302 (p=0.02), DQB1*0303 (p=0.07) and DQB1*0502 (p=0.06). Measles-specific IL-10 secretion associations approached significance with DRB1 and DQA1 loci (both global p-values 0.08). Specifically, suggestive associations were found between DRB1*0701 (p=0.07), DRB1*1103 (p=0.06), DRB1*1302 (p=0.08), DRB1*1303 (p=0.06), DQA1*0101 (p=0.08), and DQA1*0201 (p=0.04) alleles and measles-induced IL-10 secretion. Further, suggestive association was observed between specific DQA1*0505 (p=0.002) alleles and measles-specific IL-12p40 secretion (global p-value 0.09) indicating that cytokine responses to measles antigens are predominantly influenced by HLA class II genes. We found no associations between any of the alleles of HLA A, B, and Cw loci and cytokine secretion. These novel findings suggest that HLA class II genes may influence the level of cytokine production in the adaptive immune responses to measles vaccine.     

GTP cyclohydrolase and tetrahydrobiopterin regulate pain sensitivity and persistence

We report that GTP cyclohydrolase (GCH1), the rate-limiting enzyme for tetrahydrobiopterin (BH4) synthesis, is a key modulator of peripheral neuropathic and inflammatory pain. BH4 is an essential cofactor for catecholamine, serotonin and nitric oxide production. After axonal injury, concentrations of BH4 rose in primary sensory neurons, owing to upregulation of GCH1. After peripheral inflammation, BH4 also increased in dorsal root ganglia (DRGs), owing to enhanced GCH1 enzyme activity. Inhibiting this de novo BH4 synthesis in rats attenuated neuropathic and inflammatory pain and prevented nerve injury-evoked excess nitric oxide production in the DRG, whereas administering BH4 intrathecally exacerbated pain. In humans, a haplotype of the GCH1 gene (population frequency 15.4%) was significantly associated with less pain following diskectomy for persistent radicular low back pain. Healthy individuals homozygous for this haplotype exhibited reduced experimental pain sensitivity, and forskolin-stimulated immortalized leukocytes from haplotype carriers upregulated GCH1 less than did controls. BH4 is therefore an intrinsic regulator of pain sensitivity and chronicity, and the GTP cyclohydrolase haplotype is a marker for these traits.     

Selection of optimal reference genes for normalization in quantitative RT-PCR

Background  

Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this innate variability, multiple reference genes are used. Current methods of selecting reference genes make an assumption of independence in their innate variation. This assumption is not always justified, which may lead to selecting a suboptimal set of reference genes.