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Custom siRNA Libraries & Panels

MISSION® Custom siRNA Libraries & Panels are the most compelling collections for high-throughput screening of therapeutic-value target genes. The flexible format facilitates research for scientists who are interested in specific classes of genes as well as those who need to generate information across the entire druggable genome.

Product Benefits

  • Duplexes designed using the Rosetta Algorithm, one of the most powerful tools for high target specificity and efficient gene knockdown
  • Up to 3 duplexes available per gene, thereby allowing for optional pooling
  • Amounts of material provided allow for multiple screenings and hit follow-up
  • Gene targets picked in collaboration with major pharmaceutical company

Product Features

  • 21mer siRNA duplexes with dTdT overhangs
  • Duplex amounts provided vary (see list below)
  • 1 to 3 duplexes available per gene
  • Duplexes formatted in multiple 96-well plates
    o 80 duplexes per plate
    o First/last columns empty
    o Dry
  • Items provided electronically, include:
    o Plate maps
    o Target gene list
    o Sequence information
  • Controls may be available (inquire)

Available Libraries & Panels

Select the library or panel of interest and then use the button above to complete the quote request form. To learn if controls are included as well as the list of genes in the library or panel of interest, please send an email to sirnarequest@sial.com.

References

1.
Hoorn EJ, Meima ME. 2012. Predicting kinase-substrate interactions in the era of proteomics. Focus on "Identifying protein kinase target preferences using mass spectrometry". American Journal of Physiology-Cell Physiology. 303(7):C711-C712. https://doi.org/10.1152/ajpcell.00232.2012
2.
Meng W, Mushika Y, Ichii T, Takeichi M. 2008. Anchorage of Microtubule Minus Ends to Adherens Junctions Regulates Epithelial Cell-Cell Contacts. Cell. 135(5):948-959. https://doi.org/10.1016/j.cell.2008.09.040
3.
Matsubara T, Kida K, Yamaguchi A, Hata K, Ichida F, Meguro H, Aburatani H, Nishimura R, Yoneda T. 2008. BMP2 Regulates Osterix through Msx2 and Runx2 during Osteoblast Differentiation. Journal of Biological Chemistry. 283(43):29119-29125. https://doi.org/10.1074/jbc.m801774200
4.
2015. Host Factors in Retroviral Integration and the Selection of Integration Target Sites.1035-1050. https://doi.org/10.1128/microbiolspec.mdna3-0026-2014
5.
Zhang XD. 2008. Genome-wide screens for effective siRNAs through assessing the size of siRNA effects. BMC Research Notes. 1(1):33. https://doi.org/10.1186/1756-0500-1-33
6.
Linsley PS, Jackson AL. 2010. Hidden reach of the micromanagers. BMC Biol. 8(1): https://doi.org/10.1186/1741-7007-8-53
7.
Majercak J, Ray WJ, Espeseth A, Simon A, Shi X, Wolffe C, Getty K, Marine S, Stec E, Ferrer M, et al. 2006. LRRTM3 promotes processing of amyloid-precursor protein by BACE1 and is a positional candidate gene for late-onset Alzheimer's disease. Proceedings of the National Academy of Sciences. 103(47):17967-17972. https://doi.org/10.1073/pnas.0605461103
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