Microarray-based subtractive hybridization

Details Microarray-based subtractive hybridization Microarray-based subtractive hybridization

C - Chemistry, Metallurgy

12

Q

C12Q 1/68 (2006.01) C12N 15/10 (2006.01)

Patent

CA 2372698

The invention relates to a highly efficient, high-throughput method for the identification and elimination of redundancy in a population of nucleic acid molecules using microarrays. This method involves a reiterative subtraction protocol using a library that becomes more biased toward unknown genes with each successive round. The removal of repetitive and previously characterized nucleic acids from the library allows the identification of low-abundance mRNA from sources of interest and enhances the rate of novel gene discovery. The present invention is also useful for the removal of contaminating nucleic acids from cloning libraries.

La présente invention concerne un procédé, fortement efficace et à haut débit, pour identifier et éliminer la redondance au sein d'une population de molécules d'acides nucléiques par utilisation de micro-ensembles. Ce procédé implique un protocole de soustraction réitérateur utilisant une bibliothèque qui, à chaque cycle successif, s'oriente de plus en plus vers les gènes inconnus. L'élimination d'acides nucléiques répétitifs et déjà caractérisés de la bibliothèque permet l'identification d'ARN messager en faible abondance à partir de sources intéressantes et l'amélioration de la vitesse de découverte de nouveaux gènes. L'objet de la présente invention est également utilisé pour éliminer des acides nucléiques contaminants de bibliothèques de clonage.

Affiliated with

Also associated with

Rating

Microarray-based subtractive hybridization does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Microarray-based subtractive hybridization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Microarray-based subtractive hybridization will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFCA-PAI-O-1656869