We work with patient samples and can’t afford to waste them on antibodies that don’t work [...] I find that BenchSci is particularly useful for sourcing candidate antibodies to validate [...] The same information would’ve been extremely difficult to obtain if I were to do a manual literature search on PubMed or Google Scholar.
Before I knew about BenchSci, I used to spend at least 2-3 hours per protein to go over all the companies, the antibodies, and the papers. [BenchSci] saves so much time for me because I'm always looking at several proteins per study (30-40 proteins so far). When I heard about BenchSci, I said to myself: This is exactly what I needed!
BenchSci is a right step towards a better antibody selection process [...] whenever we need an antibody, we start with BenchSci.
I can’t stress enough how easy my antibody search becomes by applying filters [...] I search my protein of interest, filter for the cell line I use and for Western blots, and the output contains loads of images that give me information on what to expect when I perform a Western blot for this particular protein in lysates of my cell line.
Good antibodies for epigenetic regulators and transcription factors are notoriously tricky to find, so that’s where working with BenchSci is useful. You can see the success that others have had with the click of a button.
It’s not only great to be able to review published data by specific contexts [on BenchSci], but the vendor and independent data are also very useful because it helps me identify and evaluate all the options available to me.
