BLOCK-iT™ RNAi Designer
The easiest way to design effective RNAi molecules for great results   See also: Synthetics for in vivo RNAi      Target Design Options:  Stealth RNAi™ siRNA miR RNAi shRNA siRNA to Stealth RNAi™ siRNA siRNA to shRNA
Step 1: Enter an accession number or provide a nucleotide sequence   Accession number: OR Nucleotide sequence: Enter only A, C, G, T, and U. See the online Help for additional information Step 2: If you entered an accession number in Step 1, select regions for target design   Open reading frame (ORF) 5' UTR 3' UTR Step 3: Choose database for Blast Human - Homo sapiens Mouse - Mus musculus Rat - Rattus norvegicus Cattle - Bos taurus Pig - Sus scrofa Dog - Canis familiaris Frog - Xenopus laevis Chicken - Gallus gallus Fruitfly - Drosophila melanogaster Worm - Caenorhabditis elegans Zebrafish - Danio rerio Mosquito - Anopheles gambiae No blast   NOTE: BLAST is used to compare input sequence with sequences in the database to find unique regions against which to design RNAi targets. The databases contain representative gene sequences for that species. Blast databases were updated on March 23, 2013 and the design output reflects the most up-to-date designs. Step 4: Choose minimum and maximum G/C percentage   Minimum G/C percentage: 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% Maximum G/C percentage: 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90%   Step 5: Select vector and strand orientation and click "RNAi Design" to design shRNA.   Vector: pENTR™/H1/T0 pENTR™/U6   NOTE:Choose pENTR™/H1/TO for inducible shRNA expression and pENTR™/U6 for constitutive expression. If you want to design shRNA oligo compatible with both vectors, select pENTR™/U6 vector.   Strand orientation: Sense-loop-antisense Antisense-loop-sense     Guarantee: The BLOCK-iT™ Designer uses a proprietary algorithm to design shRNA with the latest resesarch data to optimize for promoter requirements and stem-loop structure. The recommended shRNA sequences designed using the BLOCK-iT™ RNAi Designer have an improved probability over random picking of inducing target gene silencing. However, more than one shRNA may need to be tested for a given gene.