Hi everyone,
I checked for expression of a (surface) protein in a cell line with flow cytometry and WB. According to flow cytometry (which is well established for this protein in my lab) 40% of the cells do express the protein. According to WB (which is also well established) there is no expression.
What could explain the discrepancy ? And which result would you trust ? Honestly, I'm at a loss, it's extremely strange...
Thanks...
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Discrepancy between WB and Flow cytometry result
08 April 2013 - 02:52 AM
Quick ImageJ question
07 April 2013 - 06:20 PM
Hi people,
got a quick (and urgent) ImageJ question. I've measured lengths with the Line Tool and Ctrl+M (Measure). Now I got a table with values. Are these values by default in pixel or what unit are they in ?
Didn't find the info via google now.
Thanks !
got a quick (and urgent) ImageJ question. I've measured lengths with the Line Tool and Ctrl+M (Measure). Now I got a table with values. Are these values by default in pixel or what unit are they in ?
Thanks !
Inhibition of a protein upstream in signaling cascade ?
17 March 2013 - 04:25 PM
Hi people,
let's say I have a protein Y to which there is no known inhibitor, and I still want to study the effect of inhibiting it on a certain cellular process (not considering the possibility of doing a knockdown). There is however an inhibitor available of another protein X upstream in the signaling cascade, which regulates my protein Y. So if I were to inhibit the upstream protein X and could show at the same time that levels of my protein Y go down and the expected cellular process stops, would you regard this as at least a strong hint (doesn't prove anything obviously) that my protein Y is associated with this process ? Or would you say this experiment is a waste of time since the upstream protein X obviously regulates many other proteins too and thus it is "guilt by association" only ?
I'd very much appreciate your comments on whether this approach makes any sense (personally, I must say I'm not convinced), or if you have any other ideas.
Thanks!
let's say I have a protein Y to which there is no known inhibitor, and I still want to study the effect of inhibiting it on a certain cellular process (not considering the possibility of doing a knockdown). There is however an inhibitor available of another protein X upstream in the signaling cascade, which regulates my protein Y. So if I were to inhibit the upstream protein X and could show at the same time that levels of my protein Y go down and the expected cellular process stops, would you regard this as at least a strong hint (doesn't prove anything obviously) that my protein Y is associated with this process ? Or would you say this experiment is a waste of time since the upstream protein X obviously regulates many other proteins too and thus it is "guilt by association" only ?
I'd very much appreciate your comments on whether this approach makes any sense (personally, I must say I'm not convinced), or if you have any other ideas.
Thanks!
Cell line nomenclature - suffixes ?
14 March 2013 - 01:35 PM
Hi people,
got a very basic question on cell line nomenclature. Do you know a list in the internet where the meanings of the cell line name suffixes are noted ? I know in HEK293T the "T" stands for the SV40 large T antigen, but I wondered whether in other cell lines the letter can have a different meaning. Or what does "MG" at the end of a line stand for ? I couldn't find the answer by googling (but maybe I looked in the wrong places, hence my asking if there's something like a list).
Thanks !
got a very basic question on cell line nomenclature. Do you know a list in the internet where the meanings of the cell line name suffixes are noted ? I know in HEK293T the "T" stands for the SV40 large T antigen, but I wondered whether in other cell lines the letter can have a different meaning. Or what does "MG" at the end of a line stand for ? I couldn't find the answer by googling (but maybe I looked in the wrong places, hence my asking if there's something like a list).
Thanks !
How to increase the overall success rate of experiments
01 March 2013 - 11:44 AM
How can you increase the overall success rate of your experiments ?
A strange question perhaps, and I know it's normal a lot of experiments just don't work, but as mine seems to be lower than usual (there's always something
), I'd like to hear your ideas and thoughts.
A strange question perhaps, and I know it's normal a lot of experiments just don't work, but as mine seems to be lower than usual (there's always something
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