Thanks for the response, Amit. Sorry, I'm not sure what you mean by
"correlation for only those ratios where all three labels (L M H) are
present". By definition, I'm only comparing ratios that were present as H/L
in one XPress run and M/L in the other (and so L M H are present in one run
or the other). Do you mean ratios where all 3 labels have PSMs? That seems
a bit stringent.


It's not that I expect the quantitation to suffer when I ignore the light
label. It's that, demonstrably, when I compare the heavy from a H/L XPress
run and the light from an M/L run, I get very different results from the
H/L run's ratio. Meaning that, presumably, the L quantity that's measured
is varying significantly across the two runs. For that reason, I expect the
H from the H/L run also to be difficult to compare with the M from the M/L
run.

MaxQuant might be the better option for me. Thanks for the suggestion!

Damon

On Fri, Jul 3, 2015 at 8:52 AM, Amit Yadav <[email protected]> wrote:

> Hi Damon,
>
> Have you tried checking the correlation for only those ratios where all
> three labels (L M H) are present?. The reason could be that finding any two
> pairs may have higher chances of false positives which may be distorting
> your real ratios and therefore resulting in low correlation.
>
> Since you wanted H/M, why do you expect quantitation to suffer when you
> ignore light label?
>
> I don't have idea about this mutilation trick.
>
> If possible, a triple SILAC search can be done with ProteinPilot and any
> ratios can be calculated even post search (M/L, H/L, H/M or any other
> combination)
> In freely available software solutions, MaxQuant can be used.
>
>
>
>
>
>
> On Friday, July 3, 2015 at 6:07:12 AM UTC+5:30, Damon May wrote:
>>
>> I've got triple-labeled data, heavy-medium-light K. We've discussed
>> before the possibility of supporting this type of data fully, and I know
>> that's not possible yet.
>>
>> However, I would like to compare medium with heavy (specifically, I'd
>> like to assess M/(M+H)). This is only a comparison of two quantities, but
>> I'm having a hard time figuring out how I might do it with XPress.
>>
>> I tried running XPress twice (H/L and M/L) and using the values for H
>> from one run and M from the other. That did not behave well at all, and
>> when I sanity checked by comparing H/L ratios derived from one XPress run
>> with H/L ratios derived from the H from an H/L run and the L from a M/L
>> run, the low correlation (~0.3) made me realize that I should not expect
>> this to work well.
>>
>> I considered re-running Comet, pretending that there's no light label,
>> and running XPress on the results. This would certainly "work", but I would
>> lose quantitation from all PSMs in which only the light was identified;
>> that's likely quite a lot of peptides.
>>
>> My only other idea is to mutilate the PepXML from my current (L-M-H)
>> Comet searches, dummying them up so that it looks like I ran an M-H only
>> search, and creating dummy M or H IDs for everything that's currently an L
>> ID. That's a really ugly solution, though, and I'm worried it'll fail for
>> some reason I haven't thought of.
>>
>> Can anybody think of another way to do this?
>>
>> Thanks,
>> Damon
>>
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