Should new investigators apply for NIH Challenge Grants (RC1)?

I am looking more into the NIH Challenge Grant (RC1) opportunities that are part of the US stimulus bill. The specific question in my mind right now is: "Does it make sense for new investigators (like me) to apply for RC1 grants?" The reasons I ask are (a) because winning an RC1 removes the "new investigator" status from a PI, and (b) there is no "new investigator" preference in RC1 reviews.

The NIH has a specific definition for "new investigator", which is any investigator who has not been PI on any PHS-supported project other than a "small" one, such as a K-award or R-21 grant. New investigators get many benefits in review of R01 grants, including:

• Instructions to the study section to go easy on the new investigators (again, see the link from the Center for Scientific Review).
• Center-specific practices to increase paylines and grant duration for new investigators. For example, the NCI in the past extended the payline from the 11th percentile to the 16th percentile. The NHGRI was not as specific, but they also increased the payline and also strive to support new investigators for 5 years.

These new investigator benefits are a big deal, and I am counting on them in any hope I have of getting an R01 in the next couple years. According to the RFA for the Challenge Grants:

New PIs and Early Stage Investigators (ESIs) are invited to apply for Recovery Act Challenge Grants in Health and Science Research. Because the awards made under this program are substantial competing NIH research grants, recipients will not be considered New PIs or ESIs when they apply for NIH research grants in the future.

Thus, if I were to win a two-year RC1, I would no longer be considered a "new investigator" for future R01 applications. This is a serious issue to consider. Two years of funding would be great, but five years of funding would be much better. Furthermore, this rule, combined with other language in the RFA makes me wonder whether new investigators will be frowned upon overall in the review process?

Does anyone else have any thoughts on this issue? I am heavily leaning towards not applying for RC1. But I also know that I'm biased by the fact that I just submitted a couple grant applications (to other agencies) and the thought of doing another one in the next three weeks is really not appealing!

SJK Note added 8:06 PM: Another negative is that there are no resubmissions of RC1s, since it is a one-time program.

SJK Note 4/2/09: Friendfeed comments.

Tapping a new quadrant in the single-molecule research world: single-molecule genetics

Anthony Salvagno, a grad student in our lab recently described his encounter with the fear of scooping on our lab blog. In one of my responses to him in the comments, I state how I really don't think we're competing with the Wang lab, or any other lab, as far as I know at this moment. We are, of course, in competition with other labs, in terms of struggle to obtain a share of limited research funding. But I don't want our lab to get mired in direct competition and "race to publish first" that sometimes occurs. I'm not so worried about this, though, because I think we have a whole slew of important and novel ideas that we can pursue--much more than we have the manpower for. As Michael Nielson pointed out to me in the comments to his blog post, most scientists are in this boat: they have far more good research ideas than they can pursue. This is what makes intentional scooping a rare event in my mind -- it is only carried out by those paranoid, non-creative PIs whose fear of failure forces them to steal other's ideas and possibly crush younger scientists along the way. I think as Open Science (aka Science 2.0) takes over in the next decades, episodes of intentional scooping will become much, much easier to punish, due to the public track record of research progress and grant proposals available for all to see.

In this post, I want to elaborate on why I think our ideas are important but unique, and therefore not in direct competition with most of the leading labs in the single-molecule manipulation world today. The table below illustrates why I think we can lead a new era of experiments in an under-tapped area of single-molecule analysis--"single-molecule genetics." I am using a 2x2 matrix to analyze the research space. This is a technique I learned during the end of my graduate career when I interviewed and almost landed a job with Boston Consulting Group (BCG, a company I highly respected). The top row represents ensemble assays where the properties of many molecules are averaged together. The bottom row represents the single-molecule analysis research world. The left column represents experiments where the system being studied has been reconstituted from purified components. The right column represents experiments where the system being studied was intact, with only a few specific genes having been mutated or knocked-down^*.


The top left quadrant represents what people refer to as biochemistry research, whereas the top right quadrant would be genetics^**. The vast majority of the important discoveries in biology in the past half century would be in the top row (ensemble assays). Single-molecule assays in the bottom row have been very valuable, but are only now becoming more widely available. In my opinion, the vast majority of single-molecule assays have been in in the bottom left quadrant, which I am calling "single-molecule biochemistry" for convenience. For example, the Steve Block lab has made a number of breakthroughs in this quadrant. The Block Lab is a good example, because the research and papers produced by the students and postdocs in this lab over the past couple decades are of the highest quality and have played a key role in defining the single-molecule field. One of their areas of study is RNA Polymerase, where they have applied forces to recombinant E. coli RNA Polymerase during elongation in all sorts of manners: opposing elongation, assisting elongation, pulling on the RNA transcript, etc. Another main area of the block lab is the molecular motor kinesin. They have used optical tweezers to make many important discoveries about the mechanochemistry of this amazing enzyme. From these two areas combined (which still account for only part of the Block Lab research), they have something like 10,000 Science, Nature, and Cell papers. And as far as I know, all of that research has been done using dozens of different recombinant RNA Polymerase and kinesin heavy chain (KHC) motor proteins. So, as far as my matrix goes, they have made a huge impact on the bottom left quadrant -- "single molecule biochemsitry."

As I've said, I think the bottom right quadrant has so far been under-utilized. I am calling this quadrant "single-molecule genetics," to highlight what I see as the untapped power of combining proven single-molecule analyses with existing genetics techniques. When I say "untapped," I don't mean to imply that there aren't existing studies in this quadrant. I only mean that most of the research (and money) from single-molecule manipulation groups I am familiar with has been going into the SM biochemistry quadrant. This includes groups such as those of Steve Block, Carlos Bustamante, Evan Evans, Mark Williams, Jeff Gelles, Vincent Croquette, David Bensimon, Steve Kowalczykowski, Julio Fernandez, Matthias Rief, Herman Gaub, Sanford Leuba, Rich Superfine, Michelle Wang, and many others. I believe the labs I just mentioned perform research primarily in the "single-molecule biochemistry" quadrant. There are many examples of outstanding single-molecule analyses in the bottom-right quadrant. One of my recent favorites is from Osheim, Sikes, and Beyer where they used electron microscopy (EM) visualization of chromatin fibers extracted from Drosophila to study Pol II termination at the single-molecule level. "DNA fiber analysis" is another great example of research in this quadrant. The biomembrane force probe that Evan Evans' lab uses also lends itself to research that I would put in this quadrant. For example, the work of Heinrich, Leung, and Evans, studied ligand-receptor interactions on living human neutrophils. Another important example is from Cui and Bustamante, who studied the mechanical properties of individual native chromatin fibers from chicken erythrocytes.

The Cui and Bustamante work is closest to the killer application we are pursuing. We are working to use single-molecule DNA unzipping to map the positions of nucleosomes and polymerases on specific native chromatin fibers. This will be different from the Cui and Bustamante work in a number of ways. First, we expect to be able to map the positions of nucleosomes and polymerases with close to basepair accuracy. Second, we will analyze positions on site-specific chromatin fibers. Thus, we will know which gene it is, where the promoters and terminators are, etc. You can read more about our ideas in a recent minigrant proposal which I posted on Scribd. (This was funded by the way!) Our single-molecule research will complement the ensemble studies currently used -- commonly Chromatin Immunoprecipitation (ChIP). Because we will analyze chromatin extracted from living yeast cells (and higher organisms in the future), we will be able to study chromatin remodeling as genes are turned on or off and in any mutant strains we'd like. This is the same genetics as is carried out in the ensemble assays (top right quadrant), and in fact, our collaborators (Mary Ann Osley lab) currently do much research in this quadrant. We think our single-molecule method will be particularly good for addressing many open questions related to chromatin remodeling during transcription. For example, the Osley lab recently showed that a yeast double mutant deficient in FACT and H2b-ubiquitylation has an interesting phenotype that seems to have some kind of misassembled chromatin. Deciphering this chromatin structure is difficult with ensemble assays, and single-molecule analysis can shed a lot of light on this question. For example, if the chromatin is being assembled with histone tetramers instead of octamers, that should be clearly visible in the single-molecule unzipping signals.

By pursuing research in the "single-molecule genetics" or bottom-right quadrant, I think we are poised for making important contributions that complement the other quadrants. I just illustrated how we can closely complement ensemble genetics experiments (ChIP). Further, we complement single-molecule biochemstry experiments in the bottom-left and ensemble biochemistry in the top-left. As far as Pol II experiments go I don't believe any single-molecule force v. velocity transcription assays have been carried out yet. The work of Shundrovsky, Hall, and others in the Wang lab in terms of unzipping reconstituted mononucleosomes is in the bottom-left quadrant, and it certainly complements our work, because we're relying on their results to know what to look for when unzipping native chromatin fibers. And we'll do some of our own work in this quadrant in terms of unzipping Pol II in vitro transcription complexes for a similar purpose. In contrast to nucleosomes, we expect the Pol II unzipping signature to look distinct for unzipping from upstream versus downstream. If so, this will allow us to determine the sense versus antisense orientation of polymerases on native chromatin fibers, giving us single-molecule insight into a very exciting area of eukaryotic transcription. (See, for example, a recent antisense transcription paper from Core, Waterfall, and Lis.)

OK, hopefully I succeeded at least a bit in describing how I think we can lead a new area of single-molecule research: single-molecule genetics. I'd be curious in hearing whether this "2x2 matrix" helps you at all in looking at the research space. I find it very useful -- but on the other hand, I also really enjoyed a business course I took, and I thought the interview process for BCG was really fun. So, I may be a little different. If you do find it useful, I have some other 2x2's I can talk about. For example, Single-molecule/Ensemble versus With Force / Without Force.


*Footnote on "in vivo" terminology.
I am using "in vivo" to designate that the biology occurred in the context of a native cell, even if the analysis of the molecules was carried out with an in vitro assay. This would be true, in Chromatin Immunoprecipitation studies of chromatin remodeling during transcription, for example. The transcription is carried out in the nucleus, then the cells are fixed with formaldehyde and analysis is carried out in vitro. I am consdering this an "in vivo" experiment, in contrast to studies where the transription has been carried out in vitro -- such as in the amazing reconstituted systems of the Reinberg lab and others.

Certainly the holy grail of "in vivo" would be to know the 3-D position and chemical nature of every molecule in real-time while the cell is still living. And many single-molecule researchers are making big strides towards this goal by visualizing and tracking individual molecules inside living cells. However, my focus here is more on the arena of single-molecule manipulation.

**Footnote on doo doo
I may not be getting the of biochemistry and genetics exactly correct, and I do know that there is some ongoing rivalry between these two fields. John Lis, one of my science heroes who taught a molecular biology course I took told us two quotations. I wish I could remember who to attribute these to:

Famous geneticist: "Genetics without biochemistry is doo-doo."

Extremely measured response from famous biochemist: "Biochemistry without genetics is an exercise in frustration."
SJK Note 1: I don't even know enough to know whether I've remembered these correctly. Possibly interchange genetics<-->biochemistry, etc. but you get the point: they are complementary research fields and there is a rivalry.
SJK Note 2: If you know a source for these quotes, please post a comment! I couldn't find it on Google. Also see some interesting related discussion on friendfeed.

American Cancer Society IRG proposal submitted!

We submitted our proposal for the internal American Cancer Society (ACS) Institutional Research Grant (IRG) yesterday. I've uploaded it to Scribd, in case you'd like to look. I am really happy with it! And I am really proud of the students in my lab for both their help on the proposal, and for their accomplishments in getting our new lab to point we are now. I feel like this year is going to be a whole lot of really great science and many accomplishments from them. I'd also really like to thank Mary Ann Osley and Kelly Trujillo, our collaborators at UNM, for help in writing this and developing the ideas. These ideas were developed with the help of Karen Adelman (NIH NIEHS) also. Thank you everyone!

Specific Aims draft for upcoming miniproposal

I've uploaded a draft to Scribd of the specific aims section for a miniproposal I have due on Friday. The proposal is for $30K from an American Cancer Society (ACS) Institutional Research Grant (IRG) for one year of research. It is a renewal of the previous IRG we received which provided us with $22,500 for one year of research and for which we have been extremely grateful. While that kind of funding is much smaller than the NIH R01 funding we're striving for, it makes a big impact on our lab. I think any lab would appreciate that kind of funding, but it's particularly valuable to us in this start-up phase.

The proposal is due Friday (Jan. 23). To me, these specific aims seem very clear and I like the way they're written...so I think it's almost finished. But if you do happen to read it before Friday morning (or even after), I'd love to have your comments!

And, I should mention that this proposal is 7 pages in "NIH-style." That means it has sections of:

• Specific Aims
• Background and Siificance
• Preliminary Studies
• Research Plan

Here is a link to advice from the NIAID for NIH R01 grant writing: http://www.niaid.nih.gov/ncn/grants/app/default.htm

PS: Thank you to Anthony, Andy, and Larry for help in writing this, and for all the help from our collaborators, Mary Ann, Kelly, and Karen!

Writing our first paper--Shotgun DNA Mapping

Today, our lab created a sort-of-complete draft of the first paper to come out of our lab. I wrote briefly about it on our kochlab research blog and also posted our draft on scribd. I don't want to re-blog everything here so I'll just say that we're really excited about the paper and if you happen to click on those links above, I (we) would love to hear your opinions.

I'm really proud of the lab members, and especially Larry, who did most of the programming and produced the results that are in this paper. He produced much of this during two amazingly productive months last year (say August/September-ish) when he was seemingly-happily working 7 days a week with many 10+ hour days. If you happened to read my previous blog about talents in the lab on my science blog, you may have just realized that that kind of dedication and productivity is indicative of some kind of underlying talent that Larry has, and I wholeheartedly agree. Larry and I recognized this during our recent "talents meeting," and we're wanting to analyze that time period as a way of more clearly seeing what these strong talents are.

In contrast to the research productivity, we've been wanting to draft this paper for several months now, and up until today it was painful for both of us. I definitely committed some management sins (I'm avoiding a euphemism we use in this situation), but I think he's forgiven me by now. Last week, we fully consciously realized that the writing process we'd been attempting was failing and so we decided to try something new. The process we had been trying was to collaborate on our private wiki by having Larry draft sections and I and others commenting on his work and making suggestions. There are probably many reasons this failed and I know many of them are due to non-talents I have with writing and management. The new process we tried today was to just block off a whole day in a conference room to work together towards a single outcome: to produce a document in Word that was a reasonably coherent draft of the paper that we could distribute to our friends and collaborators for advice. Anthony, Linh, Larry, and I did this today, and I think the experiment was highly successful. Certainly the draft we produced is very rough, and none of us will be surprised if >75% of it is changed as we revise and pound on it in the coming weeks. But I think we surpassed the outcome we were looking for and for sure we have achieved a very solid foothold towards our goal of actually publishing this paper in a refereed journal.

This process took us about 9 hours together, plus who knows how many hundreds of hours of discussions and prior writing attempts that we built upon. We were able to fight through several instances of writer's block today, particularly with the introduction, and I think the clear outcome we were pursuing was a huge help in pushing us through this. Many may question whether it's practical for me (or any of us) to schedule an entire day for writing a paper draft, and I hold the same question. I'm not sure whether we can or will need to do this in the future, but given the success, I think we'll try. Time like this is precious for all of us, but we received quite a valuable payout. I present my first lecture tomorrow (in about 13 hours) and I haven't made any preparation except for what I have from last year and a bunch of mostly subconscious scheming and worrying. I'll talk about this on my teaching blog, perhaps later tonight. I'm super-happy about the progress we made today, and very proud of my students ... and I also now have a really uneasy feeling in my stomach in anticipation of being unprepared for the onslaught of teaching and the grant deadlines. I should mention that the uneasiness is probably compounded by hunger, which would be the subject of another blog that I don't have.

NSF CAREER proposal--shredded!

I found out today that my NSF CAREER award proposal was declined. This was completely expected, and as I mentioned in my previous blog I have been looking forward to the constructive feedback that I know I need. Whether consciously or not, though, I now realize I was unrealistically hoping that I would receive mostly positive feedback and a few easy things to improve upon. Thus, my first read-through this afternoon of the detailed reviews was very surprising and wickedly demoralizing. Let me try to think of some other emotions: bewilderment, depression, frustration... OK that's enough. I think the most demoralizing aspect was that a response shared by many reviewers was that the proposal was poorly written and confusing. This must be true, given that the sentiment was shared, but as of now, I have no idea how to overhaul the proposal to correct for this, and I'm dreading having to figure that out.

At this point (5 hours later), I have carefully re-read all of the feedback, and my emotions are much more tempered, and a couple new ones have emerged: hope, gratitude. The gratitude is for the many scientists (5 reviewers, plus program manager, plus panel members) who clearly invested a huge amount of time in reading (and re-reading and deciphering my bad writing) my proposal and composing very detailed and thoughtful feedback. I truly feel badly and frustrated that I can't thank these reviewers personally, due to their anonymity. Really, the only thing I can do is to do my best to follow all of the advice they have given and correct all my mistakes with the resubmission this summer...and I plan on doing this.

Following advice of Jean-Claude Bradley, Cameron Neylon, and others, I have posted most of the potentially interesting and non-confidential parts of the proposal on Scribd. I am new to the site, but I think this is a link to the proposal. WARNING: reading the proposal has been deemed difficult and perhaps a waste of time by at least 5 respected scientists!

I am not going to post the reviewers comments, since I think they had the expectations that I would not share them. I will give a brief summary here.

Overall

• Two panels reviewed the proposal. Both panels ranked it low priority (approximately 50th percentile or worse). Ouch! One panel was the Molecular Genetics panel and the other was a special interdisciplinary panel between Mathematical and Physical Sciences and Molecular and Cellular Biosciences for interdisciplinary proposals such as this.
  
• I have feedback from 5 anonymous reviewers. I don't know how they fit into the two panels, or whether it's a 3rd source of feedback for the program manager. 4 reviewers understood the impact (in my opinion), whereas one reviewer seemed to hate my writing and didn't seem to understand because of that.
  
• All panels and individual reviewers had significant concerns about the proposal. There was no way this thing could have been funded without some kind of empty senate seat under my control.
• Involvement with OpenWetWare and open science was noticed and cited as a big positive for the broader impacts.
  

Shared Major Negative eedback

• Dearth of preliminary data / overly ambitious / seriously concerned about feasibility of any aspect of the proposal. This is very reasonable and somewhat expected. The students have been working hard on this project, we already have some significant preliminary data (related to "Shotgun DNA Mapping") and I expect a lot more before July of this year. I had sent in an update about the shotgun DNA mapping results in October, but based on reviewer feedback, I think that the program manager did not send this update to anyone. Another way I will address this issue is to re-organize the proposal (somehow) to make the feasibility more obvious.
• Poorly written and confusing. This sentiment was pretty much shared by all reviewers and even included in one panel summary. I have re-read the proposal many times since July and never really considered that it was so confusing. I was modeling the format after a couple funded CAREER awards that I had seen (in other fields, though). Well, clearly I need to improve this somehow and I don't have any good ideas. I feel bad that I caused so much trouble and wasted so much time of the thoughtful reviewers. One of the reviewers basically admitted to giving up, which I don't really blame him, given the comments from the others. I feel like I've been told that my baby is ugly and just can't see it. BTW, my kids are fantastically cute.
• Too many specific aims / third aim not well developed. I can see that this is true. One thing I stupidly didn't realize is that the reviewers basically expect NIH-style things such as "specific aims." I had actually suspected it would be viewed negatively if made it look too "NIH-ey." I will think a lot more about this, but right now what I'm thinking is that I should focus the science solely on Pol II transcription (ditch the DNA damage repair), and then reorganize the aims to be (1) shotgun DNA mapping (2) unzipping in vitro Pol II complexes and (3) mapping pol II and nucleosomes on native chromatin. This would be organized from most feasible to least feasible.
  

Shared Positive Feedback

• Most of the reviewers specifically mentioned that involvement with OpenWetWare was a big positive for the broader impacts. This was really good to see, and perhaps the most notable thing to people who happen to read this blog.
• All reviewers agreed that the impact would be very high (if successful). Further, I think some were even intrigued / excited about the idea. Many of the reviewers understood and seemed to agree with a main point I was trying to sell: that the combination of single-molecule analysis with yeast genetics is a potentially powerful and unique tool for chromatin biology.

I suppose this positive feedback is actually sufficient, if I can successfully correct the very serious flaws. After all, trying to look at things optimistically, I'd be in a much worse situation if the reviewers had thought the proposal were very well written and feasible, but lacking potential impact.

Overall, writing this blog entry has been therapeutic and also constructive. And if you do happen to skim any of the proposal, I welcome harsh criticism--I can stomach it!

SJK Note added Feb. 5, 2010:  I did end up submitting again in 2009.  The quick report is that I rewrote it in NIH style, and improved writing thruoghout.  The reviewers liked the science, but lacked confidence in me as a PI, due to lack of preliminary results.  Fair criticism that I think I can correct this year.  Most importantly: the panel LOVED open science as broader impacts.  Here're some links for my 2009 NSF CAREER proposal:

• FriendFeed thread discussing broader impacts feedback.
• Slide 6 of this presentation shows some of the positive reviews of open science from panel.
• Link to 2009 proposal on Scribd.

Koch Lab NSF CAREER Award Intro--Single-Molecule Analysis of Yeast Chromatin Remodeling

Any day now I should be hearing the results of my NSF CAREER award application. I've talked about this in one of my earlier blogs, where I pointed out that there is very little chance the grant will get funded--this is due to overall odds and the fact that it's my first submission. The latter point reduces the odds in two ways. First, I've been told by numerous sources that there is a bias (whether intended or not) towards 3rd-submission proposals (by rule, the final submission). The other reason it being my first submission reduces my chances is likely by far the most strong -- I have a lot to learn from the feedback I will receive! My resubmission in July 2009 will be much stronger due to this critical feedback as well as the very cool preliminary data my students have been acquiring (and which I hope to start telling you about in a couple weeks).

(As an aside, I feel compelled to insert this note: If you're my NSF program manager and you happen to have the time to to read this random blog, and you are in the middle of dialing my number to tell me that my grant was funded, and are now having second thoughts after having read that paragraph above, PLEASE KEEP DIALING!)

Aside from the fact that I lack some talents helpful for grant writing--and therefore find it painful--I did enjoy aspects of the NSF CAREER award writing. This is because the award is, by design, tailored towards research university professors and has required components on research, education, broader impacts, etc. This made me think deeply about my whole career (research, teaching, service, family) and even now when I go back and read my proposal (6 months later), I am excited about the integrated career plan. One particularly satisfying aspect was that I was able to include (admittedly vague) plans for open science in a very natural way and aligned with the mission of NSF.

So, I am really looking forward to the feedback about this proposal, and I think it will be the most helpful feedback I will have received so far. Up to this point, I have received some helpful critical feedback from the DoD Breast Cancer Research Program (BCRP) Idea Award (although that backfired on me...subject of another post), some internal awards, and that's about it. Many of the other programs--private foundations--provide little or no feedback (usually none) as a matter of policy, which makes the rejection somewhat less rewarding (ha ha). I am still considering the idea of posting my whole proposal (perhaps on Scribd per Cameron Neylon and Jean-Claude Bradley's suggestions). Until I figure that out, I figured I'd post the first page of my proposal, which gives an overview of my career plan 6 months ago. Please give me any negative or positive feedback you have!

CAREER: Single-Molecule Analysis of S. Cerevisiae Chromatin Remodeling

Career Mission

The long-term mission of our laboratory is to enable important discoveries in molecular cell biology by innovating new biophysical methods and culturing interdisciplinary research and education partnerships. The specific research goals of this 5-year proposal are to develop new methods for single-molecule analysis of DNA and chromatin extracted from living yeast cells, and thus open a new research area that combines the powers of single-molecule and genetic approaches. Our long-term mission is also supported by our specific educational and broader impacts goals in this proposal, which will multiply the impact of our research goals. These include participation in Open Science, integration of research and university education, and community and local school outreach. Together, these research and education goals in this proposal will establish a successful career path for this PI as leader of an exciting biophysics research laboratory collaborating with leading chromatin and transcription biologists, successful university educator, and recruiter of underrepresented minorities to research careers.

Research Overview

DNA in eukaryotic cells exists as chromatin, which is repeating units of DNA wrapped around histone proteins. These DNA-histone units are called nucleosomes, and play a fundamental role in both positive and negative regulation of proteins that require access to the DNA code. Cells have a variety of enzymes that can modify the structure of the chromatin by moving, removing, or adding histones, or by modifying specific amino acid residues on the histones. This chromatin remodeling affects the ability of other proteins to access the DNA and has a profound impact on critical processes such as DNA repair and gene transcription by RNA polymerase. Understanding of these dynamic processes is currently hampered by the inability to characterize with high spatial and temporal resolution the changes to chromatin inside living cells. Therefore, we are developing biophysical tools with single-molecule sensitivity to address this need. One of the main goals we are pursuing is to develop a single-molecule method (see Fig. 1) for mapping proteins on chromatin that will far surpass the capabilities of the currently most powerful technique—chromatin Immunoprecipitation (ChIP). We are also pursuing other goals for analysis of genomic DNA and chromatin with optical and magnetic tweezers and nanostructured devices. The unifying themes of our research goals are single-molecule analysis and chromatin biology, and we are seeking to build a career foundation in a new arena of single-molecule biophysics applied to in vivo systems.

Using Dynamic Page Listing (DPL) with MediaWiki to help with research goals and tasks

For about a year now, I have been using Dynamic Page Listing (DPL) for a variety of purposes on our private lab wiki (hosted by OpenWetWare). I find it very useful for keeping track of ideas, grant writing, and assigning goals and tasks, among other things. In this post, I want to talk about using DPL for goals and tasks, which I think is a system that could help out other people who want to carry out open science using MediaWiki with the DPL extension installed.

I met with an ECE undergraduate student today, Caleb Morse, and we decided to try out a small "open research" project on OpenWetWare. We are following advice in responses to my earlier blog (see the friendfeed discussion), and are going to try to do a small project completely openly. Thus, for this project we're starting from scratch and going to try to record everything on the wiki and other various public resources (to be determined: blogs, etc.). Our hub for this project will be this page on our lab wiki, and as we get it going, I'll describe it in a future post. We're going to use DPL Goals to help us in this project, and so today I set them up for Caleb on OWW and I also wrote an OWW help page and an example user to help others who may want to try it out.

What are DPL Goals?

What this system amounts to is really just a method for tagging and displaying tags with simple "AND / OR" logic. The only reason I have to write this article is because there isn't yet (as far as I know) a good way for tagging and good, simple tag filtering in MediaWiki. DPL is really good at doing this, but it's a powerful and complicated extension, so it's a little confusing to set up the system I'm describing here. The system basically works like this:

• Pages are created to describe goals or tasks. Categories are added to these pages to (a) mark them as a goal, (b) assign them to a specific person, and (c) optionally categorize them further, such as "high priority."
• Task List or Goal List pages are created to display any pages across the entire wiki database which have been marked as goals or tasks for a specific user. This listing page updates dynamically whenever another page on the wiki is added.

The following figure shows a screen shot of an example page for listing goals and task pages. Each of the links is to a separate page somewhere on the wiki (it doesn't matter where) that can have a lot of detail about a research goal, or could have no text at all, with the title simple being a task reminder.


There are four lists presented in the previous figure. The wiki code for this page has four blocks of DPL code to generate the lists automatically and dynamically...as tags (categories) are added or removed from pages around the wiki, the list will be updated (when the page is refreshed). Two of these blocks of DPL code are shown in the next figure.


You can see that the code isn't too complicated, but it's not completely straightforward either. I should note that this is just one particular way of displaying pages. DPL is quite powerful, both in it's extraction of pages (and bits of pages) and in the ability to format the results. What I am showing is a very simple usage with just page titles that tends to work well for me.

The DPL code necessary for generating the display page is a little bit complicated, but only needs to be generated once (and you can tweak the display later if you like). In contrast, the wiki code needed to make new pages show up in the list is very simple--This is why I think the method can be helpful to me and potentially others. I show in the next picture the basic use of MediaWiki categories, which is not too complicated.


The use of templates, which I won't show here, can make it even easier. The template method is actually what I use, and it's exceedingly easy to remember and quick to use. Furthermore, if OWW or your site decides to make tagging easier (check boxes, or tagging like on other sites), the method should get even easier. Along those same lines, what I'm describing is still a kludge and a much better method may already exist or may be introduced soon. I think it's easy enough to do and has been so helpful to me that I think it's worth implementing if you don't have a better option.

What next?

As I mentioned above DPL is very versatile, and what I'm describing is a very limited application that has been very helpful to me. I use the same basic paradigm for many purposes on our private and public wiki. Many of the pages on OpenWetWare tend to be long articles, in the style of wikipedia. On the other hand, scientific research tends to generate bits of information here and there--this makes it much more convenient for me to make small entries that have some tags (aka labels, categories) so I can aggregate them on some other page. I'd say I spend 80% of my private wiki time with this method. For example, when grant writing, I'll take notes without worrying where I list the page, and then I'll just add an "NIH R01" tag to the page so I can find it later. If you use MediaWiki and especialy OWW, I think you'll like this method. Here are two more links to DPL uses I have on OWW public wiki:

• An aggregation of ideas I have for possibly improving our Junior Lab course next year.
• Various pages with ideas for improvements to the wiki (I don't really use this very often, but it's a good example of what can be done easily).