28 Temmuz 2015 Salı

Process DIA data directly in Proteome Discoverer 2.0 with DIA Umpire


Alright, this DIA stuff is confusing.  There are methods all over the place.  WiSIMDIA on the Fusion, pSMART, multiplex-DIA, and even boring old SWATH.  Software-wise, there is tons of stuff out there.  This weekend I processed some DIA data from a Fusion directly through Proteome Discoverer 2.0...and it looks amazing.

The data in question was ran through the DIA-Umpire to convert the data into a handy-dandy MGF file format.  You can find details on the DIA-Umpire in this Nature Methods paper by Chih-Chiang Tsou et al., out of Alexey Nezvizhskii's lab.  Essentially, it is a (currently) command line driven program that takes your DIA data and "deconvolutes" it down to a format that is friendly to the proteomics processing pipelines we already know and trust.  How does it work?  No idea.  But it works, and the data looks amazing (did I say that once already?)


Here is a random high scoring PSM I grabbed.  Looks pretty incredible, right?  They all do.  And I didn't have to change my workflow at all.  I used SequestHT, target decoy and my normal basic consensus report.  I ended up with a ton of IDs and really nice true FDRs at every level I set them at (PSM, peptide, and protein).

If you are interested in identifying peptides via DIA and you are a little swamped by your software options, you might want to check this out.  I'm tired of learning new software interfaces -- lets put everything in Discoverer!


27 Temmuz 2015 Pazartesi

Another amazing Boston trip!


Yesterday, I somehow suckered around 80 people into spending about a whole day in a big room talking with me about Proteome Discoverer 2.0.  We ran through a lot of different processing ideas and scenarios and I got a ton of feedback to pass on to the Proteome Discoverer team (which I should probably be doing right now rather than blogging this...oh well...it WILL be passed on shortly)

Today was more fun of popping in to see a bunch of different labs and talk about different processing needs and how we can address them with Proteome Discoverer.  Now I've got several cool puzzles to work on (man, everybody is doing something cool in this town!!!).  Anyway, no real news here, just a shout out to the great people of Boston/Cambridge for their time and energy in making this (from my standpoint) a fantastically (that's a word?) productive trip!

26 Temmuz 2015 Pazar

Want to take a full intensive course on targeted proteomics online?


This is why I love Twitter for learning stuff!  So much good information out there  -- such as this 21-part course on targeted proteomics put on recently by a ton of experts in targeted proteomics in Zurich.

You can watch all the videos here!

Shoutout to Ben Collins for leading me to this list of all the videos in order!

24 Temmuz 2015 Cuma

Outstanding review on the evolution of the Orbitrap



The Orbitrap hasn't been around all that long, yet there are tons of different flavors.  A really fun aspect of my job is that I sometimes get to go into a lab where someone has been running an Orbitrap XL (which is an awesome instrumet, btw!!) and I get to be there when they get to see what their new QE HF is capable of.

Can you still get the same data out of your Orbitrap XL?  In a lot of cases, hell yes you can!  Can you get that same information on the QE HF in...one-quarter or one-tenth the time....sometimes the answer is a resounding yes.

So what are the differences?  For an incredibly thorough (and very pretty) review of where the Orbitrap was, is, and maybe will be next check this paper from Shannon Eliuk and some guy named Makarov?

Its open access and a great read!

23 Temmuz 2015 Perşembe

Does DMSO addition affect label free quantification?


DMSO as an additive for nanoLC proteomics applications is still pretty polarizing.  If you want my opinion on it, it is: yes, you get more signal and peptide IDs, but you should anticipate requiring more cleaning and maintenance on your instrument.  If you don't mind the downtime and the signal intensity is paramount...well, that's your choice.  For me?  I would run DMSO if I was doing experiments on your instrument, but I wouldn't use it on mine...

To further investigate the affects of DMSO as an additive Dominika Strzelecka et al., checked to see if adding 3% DMSO would affect their label free quantification.  I stole the figure above from the open access paper.  In A, you see the ID'ed peptides.  In B you see the quantified peptides.  In the end they found that DMSO really didn't affect the quality of the quantification, though maybe the increase in signal does help you quantify more.

Me? I'm most interested in the shift in identified peptides!?!  Out of ~2500 peptides ID'ed over 1000 were differentially ID'ed by changing the buffers!

Highly recommended paper that adds more info to a very interesting topic.


22 Temmuz 2015 Çarşamba

Proteomics in negative mode!


Wow!  What is happening in this picture?  Something flat out crazy and awesome.

The paper is in press at MCP here from Nicholas Riley et al., out of some guy named Josh Coon's lab.

What is it?  A hacked LTQ Orbitrap with a new collision source.  They call it the "Multipurpose Dissociation Cell" and it massively improves the signal, speed, and utility of ETD fragmentation.  It improves it to the point that it makes doing proteomics completely in negative mode something that everyone has thought about something that is actually a possibility.

Just last week I spent some time explaining why we don't do negative proteomics for PTMs: poor ionization, fragmentation sucks, there aren't good tools for translating the data, etc.,  Amazing how this field evolves!

To get around poor ionization, this study switched the buffers around.  High pH reverse phase!
To get good fragmentation, they use their awesome new MDC source to perform Acitive Ion Negative ETD (AI-NETD)
To do the data processing, they studied the AI-NETD fragmentation spectra and determined the new charge-reduction loss masses and processed the data to remove these components.  Then they used a modified version of OMSSA that was set to read a(dot) and x fragment ions.


I had to pull the Wikipedia peptide fragmentation chart to figure out where things are coming apart. Wow, right?

This isn't the first run at doing negative proteomics.  It isn't even the first run at doing negative ETD fragmentation.  This is, however, the first time that we've seen this approach produce results on the same scale as we get from positive fragmentation studies.

In one run they broke the 1,000 proteins ID'ed barrier on yeast.
Using multiple enzymes they come close to 100% coverage of the yeast proteome.  How's that for on the right scale!?!

But that isn't really where the power of this approach is needed.  We can get whole proteome shotgun coverage.  We've kind of got that one in the bag.  This opens up a whole new capacity for ions that prefer negative charges.  Like many post translational modifications do.  Heck, this might even open us up for more high throughput analyses of completely different biomolecules like oligonucleotides.

I want to extend a personal thank you to the authors here.  I was trying to come up with reasons to get out of bed early this morning and just when "staying employed" didn't seem like it was enough to tip the scales, I found this in MCP.  Now I'm up, motivated and about to head out the door to see what else all you brilliant people are up to out there!

21 Temmuz 2015 Salı

Added PRM/DIA to QE cycle time calculator


Okay! So that got downloaded a LOT!!!  Thanks for the feedback!

Motivated me to do some updates on my lunch break.  In the Q Exactive Family Cycle Time calculator you will find some important updates including an important "read me" section including my assumptions and references for where I got the math I used.

More importantly, however, is that I added sections of parallel reaction monitoring calculations (PRM, also called T-MS2 in QE Tune previous to version 2.4) and simple DIA.

You can get the new and improved calculator here.

20 Temmuz 2015 Pazartesi

Q Exactive/Plus/HF cycle time calculator!



I got kind of motivated Sunday and finally knocked out a project that I've wanted to for a while.

Introducing the Q Exactive TopN cycle time calculator.  This simple Excel spreadsheet allows you to pull down the resolution and insert the max fill time for your method and will give you the minimum and maximium possible cycle times for your experiment.

Its for estimation purposes only but its something I like not having to think about.  You can download it here. 

BTW, in this exercise I'm defining "cycle time" as something like: "the amount of time it takes to perform all of the events you asked the instrument to do before it goes back and starts at the beginning (in this case, start the next MS1 scan)"

I hope to expand it later to include targeted and DIA experiments but it might be a bit.  Oh, and as always this isn't any official vendor type stuff (see dislcaimer section in spreadsheet AND this blog and please don't sue me!)

19 Temmuz 2015 Pazar

How do I determine my peak width for optimal dynamic exclusion settings?


Whenever we talk about ideal dynamic exclusion settings I always start saying things like setting your numbers according to your peak widths.  This week I realized that not everyone knows how to do this!

The way I do this is by opening a file in Xcalibur.  Once I've done that I set some ranges with tight extraction windows so that I can look at a couple of good peptides. If its a human sample I look for two specific peptides.  Their m/z(s) are:

722.32477
and
756.42590

These are two peptides from albumin.  The first is relatively hydrophilic and the second is relatively hydrophobic.  Since albumin is everywhere I'm going to always see them, whether its plasma or cell pellets or whatever.

To extract the peaks, click the thumbtack on your chromatogram.  Next, right click anywhere on the chromatogram.  Before you do anything else, toggle the tab over to the "Automatic processing" tab.


Set up the mass tolerance settings as above.  I like 5ppm, though you can probably go lower on a recently calibrated Orbitrap, but 5ppm will do it.  I don't use any smoothing or nuthin unless I'm trying to prepare a figure for people outside of the field to look at.

Next toggle back to ranges.  You'll need to set it up as so:


So, add 2 ranges to your chromatogram tabs.  Set them as base peaks and so that they only look at the MS1 scan filter.  The box above shows how to search for the hydrophilic peptide.  Repeat for the next row but enter the range(s) for the mass of the hydrophobic peptide.  Hit "OK". You should now be looking at something like this:



You can't see much until you actually zoom in on the peak.  You do this by clicking and dragging across the peak individually.  On this 2 hour gradient the first one looks like this:


Now, we can just eyeball this and say "Yup! Thats about 30 seconds" or we can drag the mouse across the line.  Normally in chromatography we would consider the peak width by measured across the peak at half height.  This is NOT how we do this for dynamic exclusion.  What you want to do is measure the peak from the intensity threshold cutoff in your method (or as close as you can get!)


(click to expand if you want to see it!

When this ion was first detected within this mass range on the instrument its intensity was 2e5.  On a Q Exactive, my intensity threshold cutoff filter is typically in the 1-2e4 range.  So the first time that this ion appeared in the chromatography it could be selected for fragmention.  If it was then the dynamic exclusion would start counting at that point.  In this case it was at 57.71 minutes.  If I look at the far end of the peak it disappears around that range and it is just about exactly 0.5 minutes after it started.  So this is a 30 second wide peak.  Repeat for the second peptide.

It is important to keep in mind that some peaks will look different than others.  In the case of these two peptides, I expect the second one to be wider than the first.  From threshold to threshold on a 2 hour gradient it is 45s to 55s.  Why is this?  No idea.  Not a chromatographer, but I can only set one value for my dynamic exclusion.  If I'm a soloist I'm going to err for the higher value.  If I'm a two-timer (description of my terms for this here) I've got to be a little more intelligent and I might want to look at 4 or 5 more peaks to get a good idea of what my real peptide elutions peaks look like so I get the ideal number of MS/MS events.





18 Temmuz 2015 Cumartesi

Need another search algorithm? Check out ProLucid!



You know what the world needs? Another awesome search algorithm!  Prolucid is a brand new engine from the Yates lab that is described in this open access new paper. (oh...and I don't think that is the logo for it, I think that is something else...)

Why would we download it and give it a shot?


More peptides, of course!

If you don't want to check out all the math in the paper you can just download it here.

As a side note, have you seen this Wikipedia page that lists mass spec software?  It definitely misses some things but its pretty nice.

17 Temmuz 2015 Cuma

De novo sequencing workshop at CSHL


I was lucky enough to get an invite again this year to help out with the Cold Spring Harbor Labs proteomics course. Great group and great instructors (and great data coming off the Q Exactive Plus!) If you are on the outside and want to get into this field I don't know of any better program in the country. Today's highlight is Karl Clauser's half day de novo workshop.

Sad you can't take this fun course?  Don't be cause you can download the whole thing here!

Native protein extraction for tryptic digestion


When we harvest out our proteins for shotgun proteomics one of the first things we do is mess them all up.  The proteins that get to meet our trypsin are completely inactivated by reduction and alkylation and whatever other awful things we do to them.  Is there a chance this is causing problems in re-assembling the original biological picture?


No, wait, maybe we will!

Avantika Dhabaria et al., may even have a mechanism for us to figure it out!  In this new paper in JPR, they introduce us to: "A high-efficiency cellular extraction system for biological proteomics!"   Wait...I added the exclamation point.  Holy cow. There are exclamation points everywhere!  Google's analytics engine just informed me that I use those more than periods...TIME FOR MORE ELLIPSES!...

Anyway, they used acoustic pulses and all sorts of other things and compare the samples.  Is this better for us downstream?  Who knows! But if you have a mechanism where you should be investigating functional proteins....then you have a protocol!!


15 Temmuz 2015 Çarşamba

Special enrichment strategies!


What if I came to your lab and said that I needed to see every bit of every protein in a sample?  I bet you'd 1) think I was crazy and 2) would have some pretty good ideas for finding peptides that you normally miss.

We compromise because we know we have to.  Not everything sticks well to C-18.  Good peptides are below and above the mass range of our instrument settings. Molecular weight cutoff filters like we use in FASP lose some cool small signaling molecules.  Just a few examples.  I'm sure you can come up with others.

But if you really had to do it, how low could you go?  Great question, right?  And that's why we have awesome projects like the C-HPP. A brand new chapter from this endeavor is in this month's JPR (here!)

In this study they do this...


Yeah....glad it was them and not me.  That is a LOOOOONNNNGGGG day (semester?) of wet bench work, not to mention instrument run time.

How'd they do?  ~9000 proteins. Not too shabby.  But that's not even the goal.  The goal was trying to hunt down missing proteins.  Things that look like they should be expressed from what we know of the chromosome and exons/introns and what not.  And they found at least 30 of them!  One step closer to the complete proteome!

14 Temmuz 2015 Salı

Sleep deprivation changes visible at the genome level!


I'm not calling anybody out or anything but there are a lot of people in this field that don't seem to sleep very much.  Maybe its a bias toward the people that I know, but I feel like if I'm stuck on something at 2 or 3am I've probably got a pretty good chance of getting in touch with somebody.  Heck, maybe I've got a better chance than I do at 3pm.

This interesting study at Uppsala (described in this simple blurb here) took a look at what happens if we skip a full night's sleep and the results are pretty interesting.  After skipping just one night of sleep you can see differential regulation at the genetic level.  Not something rapid like the phospho- or kinome level, but actually genetic abundance issues.

Now there's always this question for genetic abundance changes -- does this really translate to anything at the protein abundance level?  Might be an interesting follow-up for someone (hint?).

12 Temmuz 2015 Pazar

PD 2.0 workshop for Cambridge!


Hey Cambridgians and Bosticians!  Lets waste a day away talking about the awesome power of Proteome Discoverer 2.0.

This is an interactive workshop.  Intro slides for maybe an hour and then live demonstration. We'll start with easy simple workflows and work our way up to crazy stuff.  Along the way I'll take notes on your comments/suggestions and pass your feedback onto the programmers and PD team.

If we have time I'll show you what new special powers are coming in the next version.

If you want come, email Susan.Bird@ThermoFisher.com

11 Temmuz 2015 Cumartesi

Outstanding review on proteogenomics!


Proteogenomics is some great stuff.  But it isn't easy stuff yet.  You might notice from recent blog posts that its starting to become a bit of an obsession of mine...  The promise is there.  The data is there, but integrating RNA-Seq data with Proteomics is still no easy task.

For an overview of where we are (as of 2014) you should check out this great review in Nature Methods from Alexey Nesvizhskii.  It is open access, remarkably clear, and very thorough.

9 Temmuz 2015 Perşembe

Reporter ion proteomics probes morphine tolerance and addiction


I love the city of Baltimore.  It has its problems, though.  Chief among them might be our new title as "the heroin capital of the US..."  There is obviously some sort of a link between this fact and our extremely high crime rates.  Opiates like morphine and heroin, though, are just about ubiquitously abused throughout the world and sinister everywhere.

To gain insight into the function of these abused substances, Steve Stockton et al., used an elegant quantitative approach to study the effects of morphine on subcellular fractions from synaptic cells.  After a lengthy and thorough sample preparation technique they used iTRAQ on an Orbitrap Velos to find proteins disregulated by the drug.

Now, I'm no neuroscientist, and I'm not going to pretend I understand what they found and its impact on their field, but anything that gets us closer to understanding opiate tolerance and addiction gets categorized under AWESOME in my book. I really can only assess the methodology and they did a nice job.  The paper is currently in press at MCP and open access and you can find it here.

How to sort your quantification report by individual ratios in PD 2.0


This question has come up a couple of times.  So I have these nice ratios now.  But what if I want to sort by one of them.  I can click and click and I can't sort by individual ratios.

You need to change one thing in the Advanced Tab in your Consensus report:


Create Separate quan columns in your Peptide and Protein Quantifier.  Now you'll get a completely separate column for the Ratio counts and variance for that channel.  And you can sort by any one that you want to.


6 Temmuz 2015 Pazartesi

Intro to proteomics workshop in October!


From the inside its easy to forget how daunting proteomics is.

One talk I saw a slide from recently referred to "the tyranny of the mass spectrometer".  If you're on the outside its hard to know what questions to ask and what is easy to do with the technology vs what is hard.  For those of us on the inside, having a more knowledgeable customer base or collaborators only serves to make our lives easier.

Whats the solution?  More education!  And workshops geared toward researchers who want to know:
1) What can the MODERN mass spectrometer do
2) How can it help me to do it
3) What is a reasonable experiment vs. what is an extremely difficult one.

You can register for this one in Germany here.  What we need is a bunch of these in every country!