Biomedical subjects

Marcus Gassmann

Publications and source records attributed to Marcus Gassmann.

3 recordsLinked to original sources

PubMed2006

Designing polymer matrix for microchip-based double-stranded DNA capillary electrophoresis.

Polyacrylamide (PAM) was used as a model polymer to build up an empirical model that relates polymer molecular weight, polymer concentration and solution viscosity. The desired random copolymers of acrylamide (AM) and N,N-dimethylacrylamide (DMA) used as DNA separation media for different specifications were synthesized under the guidance of the empirical model. The separation performances of rationally designed copolymers were tested in a 1.2 cm long separation channel, simulating microchip-based capillary electrophoresis. pBR322/HaeIII digest was successfully separated with good separation resolution and fast speed. Validation of the sieving ability of our polymers was performed in the Agilent 2,100 Bioanalyzer. The results of the 10 bp (base pair) DNA ladder separation demonstrate the potential of our approach for the sieving matrix in microchip-based electrophoresis.

Acrylamides↗

PubMed2006

Reversible thermo-responsive sieving matrix for oligonucleotide separation.

A reversible thermo-responsive gel system, consisting of Pluronic copolymer mixture of F87 and F127, has been used to successfully carry out the separation of oligonucleotides, for the first time, by microchip-based capillary electrophoresis. Pluronic triblock copolymers F87 (E(61)P(40)E(61)) and F127 (E(99)P(69)E(99)), with E, P, and subscript denoting oxyethylene, oxypropylene, and segment length respectively, have a unique temperature dependent viscosity-adjustable property and a dynamic coating ability in aqueous solution, including 1 x TBE buffer. The mixture solution has a reversible thermo-responsive property and its sol-gel transition temperature can be adjusted ranging from about 17 degrees C to 38 degrees C by varying the relative weight ratio of F87 and F127 at an optimized concentration of approximately 30% (w/v) for oligonucleotide separations. Oligonucleotide sizing markers ranging from 8 to 32 base could be successfully separated in a 1.5 cm long separation channel by the mixture solution in its gel-like state. A 30% (w/v) with a F87/F127 weight ratio of 1 ratio 2 which has a "sol-gel" transition point of about 26 degrees C shows the best sieving ability. The sieving ability of the mixture solution was further confirmed in an Agilent Bioanalyzer 2100 system. Fast separation of oligonucleotides has been achieved within 40 s with one base resolution.

Electrophoresis, Microchip↗

PubMed2006

The RIN: an RNA integrity number for assigning integrity values to RNA measurements.

BACKGROUND: The integrity of RNA molecules is of paramount importance for experiments that try to reflect the snapshot of gene expression at the moment of RNA extraction. Until recently, there has been no reliable standard for estimating the integrity of RNA samples and the ratio of 28S:18S ribosomal RNA, the common measure for this purpose, has been shown to be inconsistent. The advent of microcapillary electrophoretic RNA separation provides the basis for an automated high-throughput approach, in order to estimate the integrity of RNA samples in an unambiguous way. METHODS: A method is introduced that automatically selects features from signal measurements and constructs regression models based on a Bayesian learning technique. Feature spaces of different dimensionality are compared in the Bayesian framework, which allows selecting a final feature combination corresponding to models with high posterior probability. RESULTS: This approach is applied to a large collection of electrophoretic RNA measurements recorded with an Agilent 2100 bioanalyzer to extract an algorithm that describes RNA integrity. The resulting algorithm is a user-independent, automated and reliable procedure for standardization of RNA quality control that allows the calculation of an RNA integrity number (RIN). CONCLUSION: Our results show the importance of taking characteristics of several regions of the recorded electropherogram into account in order to get a robust and reliable prediction of RNA integrity, especially if compared to traditional methods.

Algorithms↗