Sensitive fluorescence in situ hybridization signal detection in maize using directly labeled probes produced by high concentration DNA polymerase nick translation

The signal produced by fluorescence in situ hybridization (FISH) often is inconsistent among cells and sensitivity is low. Small DNA targets on the chromatin are difficult to detect. We report here an improved nick translation procedure for Texas red and Alexa Fluor 488 direct labeling of FISH probes. Brighter probes can be obtained by adding excess DNA polymerase I. Using such probes, a 30?kb yeast transgene, and the rp1, rp3 and zein multigene clusters were clearly detected.     

Biodeterioration of Mayan buildings at uxmal and tulum,Mexico

Uxmal and Tulum are two important Mayan sites in the Yucatan peninsula. The buildings are mainly composed of limestone and grey/black discoloration is seen on exposed walls and copious greenish biofilms on inner walls. The principal microorganisms detected on interior walls at both Uxmal and Tulum were cyanobacteria; heterotrophic bacteria and filamentous fungi were also present. A dark‐pigmented mitosporic fungus and Bacillus cereus, both isolated from Uxmal, were shown to be acidogenic in laboratory cultures. Cyanobacteria belonging to rock‐degrading genera Synechocystis and Gloeocapsa were identified at both sites. Surface analysis previously showed that calcium ions were present in the biofilms on buildings at Uxmal and Tulum, suggesting the deposition of biosolubilized stone. Apart from their potential to degrade the substrate, the coccoid cyanobacteria supply organic nutrients for bacteria and fungi, which can produce organic acids, further increasing stone degradation.     

Natural Progression of Canine Glycogen Storage Disease Type IIIa

Glycogen storage disease type IIIa (GSD IIIa) is caused by a deficiency of glycogen debranching enzyme activity. Hepatomegaly, muscle degeneration, and hypoglycemia occur in human patients at an early age. Long-term complications include liver cirrhosis, hepatic adenomas, and generalized myopathy. A naturally occurring canine model of GSD IIIa that mimics the human disease has been described, with progressive liver disease and skeletal muscle damage likely due to excess glycogen deposition. In the current study, long-term follow-up of previously described GSD IIIa dogs until 32 mo of age (n = 4) and of family-owned GSD IIIa dogs until 11 to 12 y of age (n = 2) revealed that elevated concentrations of liver and muscle enzyme (AST, ALT, ALP, and creatine phosphokinase) decreased over time, consistent with hepatic cirrhosis and muscle fibrosis. Glycogen deposition in many skeletal muscles; the tongue, diaphragm, and heart; and the phrenic and sciatic nerves occurred also. Furthermore, the urinary biomarker Glc₄, which has been described in many types of GSD, was first elevated and then decreased later in life. This urinary biomarker demonstrated a similar trend as AST and ALT in GSD IIIa dogs, indicating that Glc₄ might be a less invasive biomarker of hepatocellular disease. Finally, the current study further demonstrates that the canine GSD IIIa model adheres to the clinical course in human patients with this disorder and is an appropriate model for developing novel therapies.Abbreviations: CCR, curly-coated retriever; CPK, creatine phosphokinase; GSD IIIa, glycogen storage disease type IIIa; Glc₄, Glcα1-6Glcα1-4Glcα1-4GlcGlycogen storage disease type IIIa (GSD IIIa; OMIM, 232400) is an autosomal recessive disorder caused by mutations in the glycogen debranching enzyme gene (AGL), leading to various clinical signs. The tissues mainly affected are liver, heart, and skeletal muscle. Clinical manifestations include hypoglycemia, elevated serum concentrations of liver and muscle enzymes, hepatomegaly, growth retardation, muscle weakness, cardiac hypertrophy with arrhythmia risk, polycystic ovaries and neuropathy.^15,17,29 Current treatments are mainly symptomatic and are not curative. The most frequently used therapies are dietary, such as providing uncooked corn starch to prevent hypoglycemia at young ages and high-protein diets, which have been shown to reverse the extent of cardiomyopathy associated with GSD IIIa.^7,8,30,37 In addition, the use of medium-chain triglycerides has shown positive therapeutic effects in patients with GSD Ia and GSD IIIa.^11,22 However, dietary therapies do not prevent the long-term complications of GSD IIIa, including hepatic cirrhosis, hepatocellular adenoma, hepatocellular carcinoma, cardiomyopathy, neuropathy, and myopathy.³¹An appropriate animal model is necessary to test novel therapies and address the long-term effects of GSD IIIa. Recently a mouse model for GSD III has been described that may prove beneficial in testing new therapies.¹⁹ However, the limitations of mouse models include a short lifespan that curtails the study of the long-term effects of novel treatments. In addition, a large animal model often mimics human disease more closely than do mouse models, as occurs in GSD type Ia dog models, which exhibit lactic acidosis similar to human patients, a characteristic that mouse models of GSD Ia lack.¹⁶ Therefore a naturally occurring large animal model for GSD IIIa may be more effective in terms of the development of new treatments than are available mouse models.GSD IIIa (OMIA, 001577) has been reported to occur in curly-coated retriever dogs (CCR) and is caused by a naturally occurring homozygous frameshift mutation in exon 32 that leads to the deletion of 126 amino acids at the C-terminus of glycogen debranching enzyme.^12,40 The dogs in these previous studies proved to have abnormalities similar to those seen in humans affected with the disorder, namely progressive glycogen accumulation in muscle and liver, elevated liver and muscle enzymes (ALP, AST, creatine phosphokinase [CPK], and ALT), and eventual liver fibrosis. However, these animals were not followed beyond 16 mo of age in the earlier studies.^12,40 The goal of the current study is to provide biochemical follow-up on these animals and analyze more extensively other tissues and organs involved in GSD IIIa in the dog model. A brief analysis of the naturally high protein diets of GSD IIIa dogs, as well as the effects of an increased protein diet in 2 dogs for the last few months of life, is included.We also include the analysis of a urinary biomarker, Glcα1–6Glcα1– 4Glcα1–4Glc (Glc₄), which is a breakdown product of glycogen by α-amylase and neutral α-1,4-glucosidase.³² Elevated levels of Glc₄ have been found in urine from patients with GSD types II, III, IV, VI, and IX and may correlate with disease advancement.^1,18,24,32 To our knowledge, Glc₄ has not been evaluated previously in dogs; we therefore here evaluated the utility of Glc₄ as a biomarker of canine GSD IIIa. A correlation of Glc₄ levels with liver enzyme concentrations in blood might indicate a role of Glc₄ as a less-invasive biomarker for determining the advancement of liver disease in human and canine patients.     

High-performance liquid chromatographic method for the quantification of unbound evernimicin in human plasma ultrafiltrate

A rapid HPLC method was developed for quantification of unbound evernimicin in human plasma. Protein-free samples prepared by ultrafiltration were injected directly onto a polymeric reversed-phase column and the eluent monitored at 302 nm. Evernimicin that eluted within 3.5 min was well resolved from endogenous components. Linearity was established between peak height and evernimicin concentration from 25 to 2500 ng/ml. Assay precision (C.V.) was within 5% while bias was no greater than 3%. This method has been used for the ex vivo assessment of evernimicin protein binding in human plasma from safety and tolerance as well as liver dysfunction and renal insufficiency studies.     

Identification of conformational B-cell Epitopes in an antigen from its primary sequence

Background

One of the major challenges in the field of vaccine design is to predict conformational B-cell epitopes in an antigen. In the past, several methods have been developed for predicting conformational B-cell epitopes in an antigen from its tertiary structure. This is the first attempt in this area to predict conformational B-cell epitope in an antigen from its amino acid sequence.

Results

All Support vector machine (SVM) models were trained and tested on 187 non-redundant protein chains consisting of 2261 antibody interacting residues of B-cell epitopes. Models have been developed using binary profile of pattern (BPP) and physiochemical profile of patterns (PPP) and achieved a maximum MCC of 0.22 and 0.17 respectively. In this study, for the first time SVM model has been developed using composition profile of patterns (CPP) and achieved a maximum MCC of 0.73 with accuracy 86.59%. We compare our CPP based model with existing structure based methods and observed that our sequence based model is as good as structure based methods.

Conclusion

This study demonstrates that prediction of conformational B-cell epitope in an antigen is possible from is primary sequence. This study will be very useful in predicting conformational B-cell epitopes in antigens whose tertiary structures are not available. A web server CBTOPE has been developed for predicting B-cell epitope http://www.imtech.res.in/raghava/cbtope/.     

Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs

Background

Annotations that describe the function of sequences are enormously important to researchers during laboratory investigations and when making computational inferences. However, there has been little investigation into the data quality of sequence function annotations. Here we have developed a new method of estimating the error rate of curated sequence annotations, and applied this to the Gene Ontology (GO) sequence database (GOSeqLite). This method involved artificially adding errors to sequence annotations at known rates, and used regression to model the impact on the precision of annotations based on BLAST matched sequences.

Results

We estimated the error rate of curated GO sequence annotations in the GOSeqLite database (March 2006) at between 28% and 30%. Annotations made without use of sequence similarity based methods (non-ISS) had an estimated error rate of between 13% and 18%. Annotations made with the use of sequence similarity methodology (ISS) had an estimated error rate of 49%.

Conclusion

While the overall error rate is reasonably low, it would be prudent to treat all ISS annotations with caution. Electronic annotators that use ISS annotations as the basis of predictions are likely to have higher false prediction rates, and for this reason designers of these systems should consider avoiding ISS annotations where possible. Electronic annotators that use ISS annotations to make predictions should be viewed sceptically. We recommend that curators thoroughly review ISS annotations before accepting them as valid. Overall, users of curated sequence annotations from the GO database should feel assured that they are using a comparatively high quality source of information.     

Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein

Background  

A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data, detection of differentially expressed genes, clustering of genes and regulatory network. On other hand there are only few studies on relation between expression level and composition of nucleotide/protein sequence, using expression data. There is a need to understand why particular genes/proteins express more in particular conditions. In this study, we analyze 3468 genes of Saccharomyces cerevisiae obtained from Holstege et al., (1998) to understand the relationship between expression level and amino acid composition.     

Sensitive fluorescence in situ hybridization signal detection in maize using directly labeled probes produced by high concentration DNA polymerase nick translation

The signal produced by fluorescence in situ hybridization (FISH) often is inconsistent among cells and sensitivity is low. Small DNA targets on the chromatin are difficult to detect. We report here an improved nick translation procedure for Texas red and Alexa Fluor 488 direct labeling of FISH probes. Brighter probes can be obtained by adding excess DNA polymerase I. Using such probes, a 30 kb yeast transgene, and the rp1, rp3 and zein multigene clusters were clearly detected.