Login / Signup

Evaluation of the selectivity and sensitivity of isoform- and mutation-specific RAS antibodies.

Andrew M WatersIrem Ozkan-DagliyanAngelina V VasevaNicole FerLeslie A StrathernG Aaron HobbsBasile Tessier-CloutierWilliam K GilletteRachel BagniGordon R WhiteleyJames L HartleyFrank McCormickAdrienne D CoxPeter J HoughtonDavid G HuntsmanMark R PhilipsChanning J Der
Published in: Science signaling (2017)
There is intense interest in developing therapeutic strategies for RAS proteins, the most frequently mutated oncoprotein family in cancer. Development of effective anti-RAS therapies will be aided by the greater appreciation of RAS isoform-specific differences in signaling events that support neoplastic cell growth. However, critical issues that require resolution to facilitate the success of these efforts remain. In particular, the use of well-validated anti-RAS antibodies is essential for accurate interpretation of experimental data. We evaluated 22 commercially available anti-RAS antibodies with a set of distinct reagents and cell lines for their specificity and selectivity in recognizing the intended RAS isoforms and mutants. Reliability varied substantially. For example, we found that some pan- or isoform-selective anti-RAS antibodies did not adequately recognize their intended target or showed greater selectivity for another; some were valid for detecting G12D and G12V mutant RAS proteins in Western blotting, but none were valid for immunofluorescence or immunohistochemical analyses; and some antibodies recognized nonspecific bands in lysates from "Rasless" cells expressing the oncoprotein BRAFV600E Using our validated antibodies, we identified RAS isoform-specific siRNAs and shRNAs. Our results may help to ensure the accurate interpretation of future RAS studies.
Keyphrases
  • wild type
  • machine learning
  • cell proliferation
  • oxidative stress
  • induced apoptosis
  • big data
  • artificial intelligence
  • papillary thyroid
  • signaling pathway
  • endoplasmic reticulum stress
  • data analysis