|Improved Ligation Specificity with Chemically Modified Ligation Components|
Sabrina Shore, Alexandre Lebedev, Elena Hidalgo Ashrafi, Gerald Zon, Natasha Paul, Richard Hogrefe
Ligases are gaining utility in molecular biology applications, such as nucleotide sequence detection, single nucleotide polymorphism (SNP) detection, protein detection and “next generation” sequencing by ligation.
|Gene Expression from Pseudourine and 5-Methylcytidine Modified Messenger RNA|
Jiehua Zhou, Maggie L. Bobbin, Julie R. Escamilla-Powers, Anton P. McCaffrey and John J. Rossi
Study objective was to develop methodologies for gram scale synthesis of messenger RNA (mRNA) for gene therapy applications, as well as scalable purification methods that yield highly expressed, persistent and non-toxic mRNA.
|Random Homozygous Gene Perturbation (RHGP) as a Tool for Target Discovery and Validation|
Wu-Bo Li and Michael Goldblatt
Random homozygous gene perturbation (RHGP) can identify and validate any host (cellular) gene target that directly causes a desired phenotype without requiring prior knowledge of the target. The central feature of RHGP is a unique lentiviral-based genetic element, known as a gene search vector (GSV) designed to interrogate the entire genome and identify target genes that cause the phenotype of interest.
|Simultaneous RT-qPCR Measurement of 1718 Long Non-Coding RNAs|
Pieter Mestdagh, Barbara D’haene, Jan Hellemans and Jo Vandesompele
Massively parallel RNA-sequencing revealed that the human genome is pervasively transcribed, resulting in the production of thousands of non-coding RNA transcripts.
|Development of an Automated Platform for HT Cloning and Expression|
Stefano Bonacci; Sara Iozzi; Scilla Buccato; Manuele Martinelli; John Telford; Domenico Maione; Roberto Petracca
Biomolecular protocols covering the whole cloning process were implemented in liquid handler robots. When compared to the manual approach, it was found that automation significantly speeds up HT cloning.
|Metal Polymers, A Glue to Immobilise Proteins Onto Synthetic Surfaces|
Abernethy N, Chung E, Fontanelle BT, Gao Y, Jennins D, Koudijs MM, Lim D, Yang L, Ling T, Vukovic P, Wong A, Maeji, NJ
The main objective of this work was to develop a surface chemistry which maintains protein function and orientation per unit surface area, regardless of the surface used.
| Gene Expression Profiling: qPCR Toolkit for Quality Control|
Švec D., Jacobsson J., Sjöback R., Kubista M.
TATAA Biocenter explain how they developed and optimized high-throughput gene expression qPCR with ValidPrime quality control, compensating for inter-run variations.
|Antigen Determination in Autoimmune Hepatitis Type1|
Naveen L Gupta, S Nayak, S Shakeyavar
Objectives of this project were to exploit the database in indian setting to determine nuclear antigens as target for antinuclear antibodies (ANA) in patients of autoimmune hapatitis (AIH) type1.
|Is it possible to quantify and rank the quality of several lists of significant genes found with gene expression profiling by different methods?|
Joachim R. Grün (1), Andreas Grützkau (1), Biljana Smiljanovic (1), Thomas Häupl (2), Gerd-Rüdiger Burmester (2), Andreas Radbruch (1)
High Performance Chip Data Analysis (HPCDA) improves expression profiling of Affymetrix chips via Bioretis database: you can easily use the default parameters and are sure to get the optimum of true positive results, independant of number of significant genes in your dataset. Gene List Significance Index (GLSI) quantifies quality of gene lists. With GLSI its easily judged which normalization/analyzing method gives better results. HPCDA score ranks by relevance.