(1) We are currently in search of one or more work study students from Computer Science, Bio-Engineering, Electrical Engineering or related fields of study to help develop supporting software and content to enable Augmented Reality guidance for lab procedures (application page).
(2) We are currently in search of one student from Science and Technology Studies, Library Science, Bioanthropology, or related fields to develop an organizational system for cataloging 45 years of scientific manuscripts and correspondence (application page).
(3) We are currently seeking one student from the School of Public Health, or a related field, to assist on a small-scale randomized control trial testing the use of Augmented Reality to aid diagnostic testing for SARS-CoV-2 (application page).
1 February 2021. Early design for mammalian controllers.
We finished design of mammalian Ratiometric Control (RC) testbeds and Closed-Loop Feedback Controlled (CLFC) regulators of gene expression. These are based on our RC and CLFC work in S. cerevisiae. These will be assembled and tested as single copy integrants in human HEK 293 cells engineered to contain a φ31C -like attB site at a safe harbor site.
28 January 2021. Summer undergraduate interns for Augmented Reality.
This summer, assuming vaccinations, the lab will take on two students to work on Augmented Reality in biomedical applications. The students will have completed their 3rd year of undergraduate coursework at Tuskegee University, a historically A&M college in Macon County, Alabama. The projects will be determined later this spring by the state of progress, but will involve application of machine learning and computer vision to operations carried out in labs. This internship is being run by Marsha Maxwell. It is made possible by John Hines, a Tuskegee alumnus, and the Hines Family Foundation.
21 November 2020.
Marsha Maxwell joins (during the pandemic, virtually) as a visiting scientist. Maxwell is from New York City, and did undergraduate science degree (Chemistry, minor in Physics) at Spelman College in Atlanta. Maxwell's PhD is in neuroscience, from Caltech, for perception of "heading", how the visual system establishes direction of observer motion when objects move from the center to the edges of the visual field as an observer moves toward them. After postdoctoral studies and work with NASA, Maxwell started working at the intersection of technology and education. While continuing to direct secondary level STEAM (Science, Technology, Engineering, Art and Math multidisciplinary learning) and Computer Science curricular programming in Atlanta, Maxwell will head up lab internship programs, and efforts to use AR for remote learning and collaboration with students and researchers at HBCUs in the Southeastern US.
1 October 2020
Gaea Turman and Swetha Sanapoori, two extraordinary persons
Gaea is from Windham, New York, in the Catskills, not far from Woodstock. She was trained as an undergraduate in Dan Pollard's lab at Western Washington University. There, she contributed to research involving gene expression dynamics in yeast, but her primary work was in writing software predicting how chromatin state affects CRISPR-Cas9 gRNA targeting. Turman will work on the controller project with Tanaka
Swetha Sanapoori is an MPH graduate student at UW. She is from Tacoma but grew up in Hyderabad, in India. She went to university at UW Seattle, where, as an undergraduate, she majored in Biochemistry with minors in Chemistry and Bioethics. She is now at the UW School of Public Health in the program in Global Health Metrics. Sanapoori is working on the Augmented Reality project. The intention is to find out if AR guidance can make a different in error rate for molecular diagnostic assays such as those used to detect SARS-CoV2. After the pandemic, she intends to enter medical school and find work at the interface of technology, medicine, and global public health.
7 September 2020
Kohtaro Tanaka lands
Exceptionally lucky to have Kohtaro Tanaka arrive. Kohtaro is an experienced Drosophila geneticist who has worked on genetic and developmental bases of species differences in Drosophila. Originally from Tokyo, he did his undergraduate work at Duke and then his PhD work with James Truman at the University of Washington. He conducted his fly work in the labs of Artyom Kopp at UC Davis, and Elio Sucena at the Gulbenkian Sciences Institute in Portugal. Kohtaro will develop chemically inducible tunable expression system in mammalian cells to gain greater understanding of the effects of protein dosage and of non-genetic cell-to-cell variation.
30 August 2020
More Hololens 2s
We just got more H2s. Although even these are not technically able, by themselves, to provide the precision procedural guidance we need to make AR helpful for precision lab work, they are superior to the Hololens 1s, they are astonishing artifacts. The eventual lab Augmented Reality system will use these as displays. Thanks to a private donor and Ellen Hisken of Microsoft for making those happen for us.
15 August 2020
We have the great good fortune to have Randal Henne come to the lab as a visiting scientist. Randy just retired from Microsoft. He has a MS in Physical Chemistry and a PhD in Molecular Bioengineering, which started him in applying machine learning to biology, In 2003, Randy moved from science to Amazon, where he worked on product recommendation and personalization algorithms, and then, in 2006, to Microsoft, where he began running controlled experiments about software development methodologies, eventually rising to become a partner data scientist manager, heading up a larger machine learning group. Henne is contributing to and professionalizing the development of Augmented Reality (AR) as a means to supply procedural guidance for molecular diagnosis of COVID-19.
1 July 2020.
And a even high school student.
Average age in lab plummets yet again with Candace Warner, a high school student in Bellevue, Washington. Warner is likely to go on to undergraduate study something along the axis of political science and heathcare, but wants to pick up experience working on a team of scientists and engineers. She joins Emma Zucati and Karrington Ogans in generating and curating training data sets.
15 June 2020
Yet more undergraduates
We are fortunate to have added Isabelle Lai, Computer Science Major, from Bellevue Washington, and now at Tufts University; Basazin Belhu, Bioengineering Major at the University of Washington, from Shewarobit, Ethiopia, and Michael Bremer, Physics Major, Seattle University, from Los Angeles. Lai, Belhu and Bremer are all working on aspects of the Augmented Reality project.
1 April 2020
Another Seattle University Computer Science student. Emma is from Auburn, Washington. She working with Bill Peria, Karrington Ogans and John Munar on collecting training data and other work associated with Augmented Reality procedural guidance.
15 February 2020.
Augmented Reality project amps up.
The lab is committing to supporting the molecular detection/ diagnosis of COVID-19 from patient specimens by Reverse Transcription Real Time PCR. We are starting with the CDC rRT-PCR panel, which we are hearing is flawed. Should we solve technical challenges associated with providing procedural guidance via Augmented Reality, this the first protocol we will support. We will also try to support the 96-well ELISA protocols being developed to spot seroconversion/ presence of anti-IgM and IgG antibodies directed against the spike protein (not the nucleocapsid!), when robust serological assays are developed and vetted.
10 January 2020
The lab just picked up John Munar, Computer Science Major, from Seattle and Seattle U, to work on the Augmented Reality project. We are fortunate to have him.
24 July 2019
Deep learning in Las Cruces
On July 23 and 24, Bill Peria, Roger Brent and collaborator Laura Boucheron led an intensive two day workshop on Deep Learning for Image Analysis at NMSI. The ~30 attendees included professors, postdocs, USDA scientists, a few graduate students, and a single undergraduate, from different science and engineering disciplines. Tutorials in Jupyter notebooks, written by Boucheron, taught participants Python coding to carry out basic image processing to build, train, and use convolutional neural networks within the Keras framework. Brent, Peria and Boucheron articulated what they considered to be key topics for near term research.
18 June 2019
Two wonderful recent undergraduates
The lab is enriched by the presence of Gabriella LaBazzo, a microbiology major, from Cody, Wyoming by way of Colorado State, and Karrington T. Ogans, a mathematics major, from Seattle having graduated from Gonzaga University. LaBazzo brings impressive infectious disease lab and field experience to her current work in and mammalian cells on Well Tempered Controllers. Ogans, who has been with us since February, is now working on deep neural networks and their possible use in epistemic support.
6 June 2019
O frabjous day! Single 5' intron sufficient for good reporter expression in worms
Scientific Reports has accepted for publication Crane et al., "In vivo measurements reveal a single 5’-intron is sufficient to increase protein expression level in Caenorhabditis elegans" for publication. During the scrambling early years of the recombinant DNA era and the start of the commercial biotech industry, it became widely known that inclusion of introns (Kaufman and Sharp, 1982, 1983, Kaufman, 1985) (the so called adenovirus tripartite leader, Logan and Shenk (1984) and polyadenylation sequences led to greater expression of recombinant proteins. The stimulation of gene expression by [even single] 5' introns was quickly found to operate in plants (Callis, Fromm, and Walbot, 1987). In C. elegans, very early work on transgenes by Andrew Fire and coworkers (Okema et al. 1993) showed introns aided gene expression and Fire included a three-intron construct in the clasical "C. elegans vector kit". But there was never a good reason to think that there was anything magical about three 5' introns, and the current work (BiorXiv 499459) shows that, as expected, there isn't. Work was started here by Bryan Sands and Alexander Mendenhall and finished in collaboration with them lab at the University of Washington.
12 May 2019
Actually, 4th lab supercomputer said Hello World already
As befits the nature of the work (to be funded by the Defense Threat Reduction Agency) the advent was a little stealthy... but the lab's 4th "supercomputer", Ghostwheel, has been up and running for awhile. Most of its work is calculations needed for computer vision. The most important part of Ghostwheel's brain is an NVIDIA RTX 2080; making him even more powerful than the first three lab computers.
10 March 2019
William Lai is a visiting scientist
Lab is enriched by William Lai. Lai is a senior and distinguished engineer, comes as a visiting scientist. Most of his early and formative industrial experience was with Microsoft. After more than a decade there, in 2008 he left Microsoft with a friend to co-found of 8ninths.com, an Augmented Reality agency in Seattle, where he handled engineering and technical development. Lai sold 8ninths successfully in late 2018. Lai will work on technology development projects underway here.
1 October 2018
Burnaevskiy et al. up on BioRxiv
A revised version of the manuscript, "Differences in protein dosage underlie non-genetic differences in traits" is now up. This is the work showing that differences in gene expression power — in this case affecting most or all of the cells in young adult C. elegans — lead to global differences in protein dosage, and that these differences in protein dosage correlate with differences in the penetrance and expressivity of particular phenotypes sensitive to levels of active proteins. Work was here and is now in collaboration with Alex Mendenhall and his coworkers at the University of Washington.
22 March 2018
Pesce et al. Molecular and Systems Biology in press
In the yeast Pheromone Response System (PRS), mutants and other perturbations (for example Δbim1) that affect cytoplasmic microtubule + end function increase cell-cell variation in transmitted signal, and signaling is sometimes erratic.
In this work, we (Gustavo Pesce and many others) held stethoscope up to the outside of the machine when it was running and missing different bearings, and learned what we could from listening carefully to the noises following up carefully on the molecular cell biology cell biology.
Here, we learned a fair amount. Variability is caused by erratic signaling by a particular MAPK, yeast Fus3, when it is recruited to the membrane, at the signaling site.
A number of positive feedbacks that affect recruitment of proteins to the signaling site. Moreover, there are "cross stimulatory positive interactions" in which signaling site proteins stimulate recruitment of proteins to the site of polarized growth, and these proteins stimulate recruitment to the signaling site.
Given the above, our best guess is that small instabilities in signaling can become amplified into larger instabilities in recruitment of proteins to the signaling site, leading to larger instabilities in signaling.
We are also tempted to speculate that somehow competition for proteins in limited number causes the patch to reach a certain size... and then, something causes it to crash.
These malfunctions affect fate choices and cell polarity choices. Which would play out during embryonic development and in maintenance of the adult soma. How much of the burden of human disease might be due to small functional differences due to coding sequence polymorphisms in microtubule end function proteins? How much morbidity might be due to small quantitative functional differences in allelic forms present in the population, and could never be detected by blunt tools such as GWAS?
4 March 2018
First lab deep learning machine says Hello World
Last Wednesday Brent Lab DL1 (Deep Learning 1; truename and ekename withheld to protect against remote enchantment) came alive. Built by Darren White downstairs from an old Dell Windows x86 box and motherboard, a cheap tower, and a 650W power supply from Amazon, and an Nvidia GTX 1080 Ti from Ebay in an auction at $240 over MSRP. In terms of FLOPS, BLDL1 is 24 X 10 exp 9 more powerful than the IBM 360/40 one lab member first worked with. BLDL1 plans to begin working hard helping pre-train a particular Convolutional Neural Network.
28 February 2018
Push-pull signal control operates deeper within the yeast PRS
In the yeast pheromone response system, a year ago, Colman-Lerner and coworkers (Bush et al. 2016) published an elegant set of experiments showing that the physical interaction between the unliganded Ste2 receptor and the Sst2 RGS protein constituted the pull element of a push-pull mechanism (with the interaction between the receptor and the G protein the push element). This mechanism presumably operates in other GPCR signaling systems. The consequence of this mechanism is that the fraction of occupied G protein mirrors the fraction of occupied receptor, rendering G protein activation robust to cell-cell variation in receptor abundance and allowing dose-response alignment at the level of the G protein.
Last month, in beautiful work, Winters and Pryciak (2018) demonstrated a push-pull mechanism operating deeper in the signaling chain, at the level of the system MAPKs, Fus3 and Kss1. In cells with both MAPKs, activated Fus3 stimulates PRS-induced gene expression while inactivated Kss1 inhibits it. We imagine that push-pull should make fractional induction robust to correlated cell-cell variation in the amount of Fus3 and Kss1 and thus help bring about dose-response alignment in single cells and cell populations.
Their work strengthens the case that our previous assumption that alignment likely resulted from the closed-loop feedback control that would naturally have been employed by human designers (Yu et al. 2008) may have been wrong.
It is easy to see how, by allowing more precise and coherent responses in cell populations, both robustness to cell-cell variation in protein levels and dose response alignment should confer selective advantage during evolution. In retrospect however, it would not be surprising if evolved signaling systems manifested coherent responses due to control mechanisms distinctly inferior to those that would be built by sentient engineers.
12 December 2016
Lab joins 21st century, posts work on bioRxiv
We've posted two major articles by Gustavo Pesce (et al.) on the bioRxiv preprint server. These describe how Gus screened more than 1000 yeast strains deficient in different nonessential genes for those that affected cell-cell variation in signal transmitted through the pheromone response system, how different data suggest that the origin of the noise they introduce is due to the ends of cytoplasmic microtubules interacting with the site on inside of the cell membrane at which signal is generated, and how that noise degrades the accuracy of a cell fate decision. We will describe the papers further when formally published. These papers have now been under editorial review at Molecular Systems Biology for 2 months. They represent revised versions of a single manuscript we originally submitted to that journal in July 2015. We are also cross-publishing and doi-ing these Pesce et al. papers via our Fred Hutch archives.
C. Gustavo Pesce, William Peria, Stefan Zdraljevic, Dan Rockwell, Richard C. Yu, Alejandro Colman-Lerner, Roger Brent (2016). Cell-to-cell variability in the yeast pheromone response: high throughput screen identifies genes with different effects on transmitted signal and response. bioRxiv 093187; doi:
C. Gustavo Pesce, Stefan Zdraljevic, Alan Bush, Victoria Repetto, William Peria, Richard C. Yu, Alejandro Colman-Lerner, Roger Brent (2016). Cell-to-cell variability in the yeast pheromone response: Cytoplasmic microtubule function stabilizes signal generation and promotes accurate fate choice. bioRxiv 093195; doi
23 November 2016
Commentary on Andrews et al. by Weiße, Mannan, Oyarzún.
Description/recapitulation and commentary on Andrews et al. Push-Pull paper in this issue of Cell Systems by Diego Oyarzún and coworkers at Imperial College London. Authors argue for the importance of thinking about many kinds of systems in terms of input-output relationships. They also make a point that illustrates how critical precise definition will be for systems biology to progress beyond its current state, sometimes characterized by slogans and buzzwords, to generate important new scientific knowledge. The authors note that because definitions of output differ among studies, the phrase "linear input-output relationship" covers a great deal of ground, and that serious attempts to infer general truths about "design principles" from studies of different systems will need to take such differences into account.
27 October 2016 (epub) and 23 November 2016 (pub)
Andrews et al. Push-Pull now out/ up/ published in Cell Systems
In this paper, we asked how cell signaling systems, including the yeast pheromone response system, might exhibit ‘‘Dose-Response Alignment’’ (DoRA), in which output of one or more downstream steps closely matches the fraction of occupied receptors, and preserve this relationship throughout changes in the number of protein components. Systems with DoRA transmit information optimally. We found a non-feedback based, non-closed loop mechanism, Push-Pull, in which the nominally inactive form of upstream components actually reduces downstream activity, can generate DoRA. Although key aspects of the open-loop control enabled by Push-Pull are inferior to the closed-loop feedback control that would have been used by human (or other sentient) engineers, Push-Pull seems to be widespread throughout evolved eukaryotic signaling systems (even plants). Our work suggests means to detect when Push-Pull and closed-loop feedback control might be operating, and means by which synthetic closed-loop feedback control in signaling systems might be engineered.
Andrews, S., Peria, W., Yu. R,. C., Colman-Lerner, A., and Brent, R. (2016). Feedback and push-pull mechanisms can align signaling system outputs with inputs. Cell Systems 3 (5): 444-455.e2
22 September 2016
More from the vaults
We've published and doi-ed via Fred Hutch archives a number of previously unavailable papers from the lab. The first (Ptashne et al. 2003) is a review on modular transcription activators from ergito.com, a now-defunct web textbook. The second (Finley et al. 2003) is our original paper on a Drosophila gene and protein we called Cdi4, which interacted with Cdk2 and Cyclin E, and now called decapo. The reasons we were unable to publish that work contemporaneously have to do with the occasional failure of peer review when the reviewers are untenured faculty members who view their work as competitive.
Ptashne, M., Gill, G. and Brent, R. (2003). Modularity of eukaryotic transcription activators. doi: 10.6076/J7RN35SF
Finley, R. L. Jr., Cohen, B. and Brent, R. (2003) Drosophila Cdi4 is a p21/p27/p57-like cyclin-dependent kinase inhibitor with specificity for cyclin E complexes. doi:10.6076/J7WD3XHS12
ISAC/ CTYO 2016 meeting in Seattle
At this meeting Brent gave a "State of the art lecture" titled "Quantitative physiology of living single-cells: subtle pleasures and future promise". The hope was to give the listeners a heads up on how one can use single cell measurements to define some non-obvious physiological states (including having high gene expression power or G) in yeast and worm cells, and the consequences of those states.
Colman-Lerner, A., Gordon, A., Serra, E., Chin, T., Resnekov, O., Endy, D., Pesce, G. and Brent, R. (2005) Regulated cell-to-cell variation in a cell fate decision system. Nature. 437, 699-706
15 July 2016
New controller design from Khammash lab
We know from our unpublished work that consideration of early 20th century control systems (Mindell 2002) has been helpful in understanding how evolved cell signaling systems like the yeast PRS operate. We are now testing a related idea, that collaboration with living 21st century control engineers at ETHZ may help us learn more about evolved systems and build better artificial ones. Work from our collaborator Mustafa Khammash illustrates the promise of such engagement. In a just published paper (Briat et al. 2016a), Khammash and his coworkers show a new and simple design for an integral controller that gives robust "perfect adaptation", but at the price of sensitivity to stochastic intracellular events. This result stands in contrast with a second recently articulated design from the Khammash lab (Briat et al. 2016b), whose workings are robust to intracellular stochastic events, and our lab is seeking to understand this difference in natural language terms.
Mindell, D.A. (2002). Between Human and Machine (Baltimore: Johns Hopkins University Press).
Briat, C., Zechner, C. and Khammash, M (2016a). Design of a Synthetic Integral Feedback Circuit: Dynamic Analysis and DNA Implementation. ACS Synth Biol. Article ASAP 2016 Jul 8. PMID: 27345033 DOI: 10.1021/acssynbio.6b00014
Briat, C., Gupta, A., and Khammash, M. (2016b). Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks. Cell Systems 2(1): 15-26. doi: 10.1016/j.cels.2016.01.004.
6 June 2016
Second phasor plotting paper published
Our second paper with the Houston lab at NMSU, on use of phasors and pseudophasors in flow cytometry, is now out. In time resolved flow cytometry, we expect these methods will be as powerful as they are in microscopy.
Cao R, Jenkins P, Peria W, Sands B, Naivar M, Brent R, Houston JP. Opt Express. 2016 Jun 27;24(13):14596-607. doi: 10.1364/OE.24.014596. PMID: 27410612
31 March 2016
Mendenhall starts own lab at UW
Alex Mendenhall starts a tenure track faculty appointment in the Department of Pathology at UW School of Medicine. The department is distinguished by the depth of its expertise on aging, making it something of a dream job for him. Will link to his lab website as soon as its up. Mendenhall did very well here, and he will be deeply missed.
15 February 2016
Single cell physiological states and aging
Alex Mendenhall, Monica Driscoll, and Brent have a closely argued piece out in Aging Cell about how scientists can use single-cell measures of physiological state can contribute to an understanding of organismic aging (and response to perturbations) in adult organisms. A major reason for this article was to put forward, particularly for aging researchers, but also for researchers seeking to understanding organismic physiology, logically consistent and eventually computable definitions of concepts such as "physiological state" We come down pretty strongly on the viewpoint that to view aging as the execution of a "genetic program" in the same sense that embryonic development clearly is the working out of genetic program. We hope to provoke discussions about and lay groundwork for measurement of single cell physiological variables through the entire developmental and adult trajectory of organisms. We also hope to give the aging community some new ideas to accept or criticize.
Mendenhall A, Driscoll M, Brent R. Using measures of single-cell physiology and physiological state to understand organismic aging. Aging Cell. 2016 Feb;15(1):4-13. doi: 10.1111/acel.12424. Epub 2015 Nov 29. Review. PMID: 26616110
4 January 2016
post-Cohen-Boyer DNA assembly now out
Overview of post Cohen-Boyer methods for single segment cloning and for multisegment DNA assembly. Sands B, Brent R. Curr Protoc Mol Biol. 2016 Jan;113:3.26.1-3.26.20. Epub 2016 Jan 4. PMID: 27152131
With the overview now published, the plan is to publish Bryan's latest assembly methods as a separate paper later in 2016.
11 September 2015
21st century DNA assembly methods
Much of the research at the Hutch and elsewhere relies on new DNA constructions. Since the early 1970s, researchers have continued to use "classical" means to construct DNA molecules, but they have also developed additional powerful means to make complex molecules of desired sequence. In many cases, researchers rely on kits made by commercial manufacturers that use methods the researchers do not understand. A forthcoming paper in Current Protocols in Molecular Biology by Bryan Sands and Roger Brent describes and explains the most important methods, including the improved assembly methods based on recombination in yeast developed here.
20 July 2015
Derek Britain to graduate school in Biophysics at UCSF
Derek M. Britain, the most junior lab member, will be graduating from the lab to go enter graduate school in Biophysics at UCSF. Derek joined the lab as an undergraduate in the UW bioengineering program and then stayed on as a full time researcher. Derek's work here was on the response of single yeast cells to mating pheromone. He demonstrated effects of particular allelic variants of microtubule plus end binding proteins on cell-to-cell variation in signal transmitted through the system. The work may be important because these variants occur in homologs of these proteins found in members of the human population, and so may contribute to human disease.
1 July 2015
M. Allen Northrup joins lab
Allen Northrup, a distinguished microfluidics engineer and successful biotech executive, has joined the lab as a visiting scientist. Allen (see bio) is one of the pioneers of microfluidics and among other things is responsible for the first devices that carried out PCR in micromachined silicon. He plans work that may improve the ability of researchers and diagnosticians to detect and quantify rare molecules in dirty samples.
24 - 28 June 2015
C. elegans international meeting
At UCLA, Alexander Mendenhall, now out of stealth mode, presented his results on single cell quantification at the annual worm meeting.
Results included studies of effects of configuration of different reporter gene elements total measured fluorescence. This work is important because it provides the necessary foundation for the lab's ongoing studies of variation and physiological state.
7 May 2015
Mendenhall et al. paper now out/ live animal single-cell quantification for all
A paper by Alexander Mendenhall and other lab members is now published in PLOS ONE. The paper tells researchers how to quantify with great accuracy reporter gene expression in living single cells in adult Caenorhabditis elegans. Lab researchers view development of these quantification methods as the foundation on which much future work worldwide will depend. The work opens the way to understanding the origin of non-genetic variation in living animals — the "neither" in the triad sometimes termed "nature, nurture, or neither". It will also allow study of now-mysterious physiological states that can affect lifespan and other outcomes.
Phasors work for discriminating populations in flow cytometry too
In work with the lab, Roufan Cao and Jessica Perea Houston at NMSU have shown that phasor plots can distinguish populations of cells in flow cytometry based on fluorescent lifetime. Experiments continue.
21 March 2015
yeastpheromonemodel.org wiki passes 150,000+ accesses, 50 full downloads
More than 10 years ago, Ty Thomson, then a graduate student with collaborator Drew Endy, was working with the lab on the Alpha project, an effort to make a comprehensive predictive model of the yeast pheromone response system. For his PhD thesis, Ty carried out a full review of the literature, extracted key facts and parameters from the literature, and documented this in a wiki. Significantly, each fact in the wiki was synonymously encoded in a particular language, BioNetGen, which facilitated its automatic incorporation into an SBML coded model on demand. By this means, changes in the prose wiki automatically rippled through to changes in the model.
Today, eight years after launch, the model site continues to be near the top on searches for quantitative information about the pheromone response system and supply starting materials for researchers modeling cell signaling systems.
14 February 2015
Negative feedback is not enough
Work from the lab in 2008 (Yu et al. 2008) refocused our interest on the fact that some signaling systems turn on downstream events in proportion to the number receptors activated at the cell surface. This is "Dose-Response Alignment", or DoRA. Ongoing work theoretical work by Steve Andrews and other lab members now shows that simple negative feedback is not able to maintain DoRA but that augmented negative feedback and a second control mechanism can achieve it. Experimental work to establish the existence of the second mechanism continues.
19 January 2015
Brent, Houston labs sort on lifetimes with pseudophasors
In collaboration with Jessica Perea Houston and her coworkers at New Mexico State University in Las Cruces, Bryan Sands, Bill Peria and other lab members have sorted engineered yeast cells engineered to express fluorescent proteins with different lifetimes.
The work required Sands to build proteins with different lifetimes and Peria to find and deploy a relatively obscure algorithmic method (reference) to program the sorter's Field Programmable Gate Array (FGPA) to compute lifetimes quickly enough to allow sorting. One consequence of this work will be to separate populations of cells in different physiological states defined by differences in cell signaling.
Goertzel, G. (1958) An Algorithm for the Evaluation of Finite Trigonometric Series. American Mathematical Monthly 65 (1): 34–35, doi:10.2307/2310304
5 September 2014. Bryan Sands et al,
"Measuring and sorting cell populations expressing isospectral fluorescent proteins with different fluorescence lifetimes" is accepted in PLOS ONE. Work is in collaboration with the lab of Jessica P. Houston at New Mexico State University. Going forward, we hope that altered-lifetime fluorescent proteins and appropriate equipment will enable us to quantify signaling events involving very small (<10) numbers of molecules.
23 September 2014. Eddie Altszyler et al.
"Impact of upstream and downstream constraints on a signaling module’s ultrasensitivity " is accepted in Physical Biology. Work is from collaborating Colman-Lerner lab. If certain "modules" in cell signaling systems generate steep (or "switchlike") response curves, and interface with certain kinds of upstream or downstream reactions, the "modules" can give response curves that are even steeper.
1 August 2014. Alexandra Ventura et al.
"Utilization of extracellular information before equilibrium receptor binding expands and shifts the input dynamic range", accepted for PNAS. Work is in collaboration with the lab of Alejandro Colman-Lerner lab at the University of Buenos Aires. The mechanism, PRESS, is important for the operation of the large number of cell signaling systems that share certain dynamic properties.
25 July 2014
Collaborating PI Jessica P. Houston receives a basic research award from The NCI’s Center to Reduce Cancer Health Disparities (CRCHD) at an investigators workshop for "Partnerships to Advance Cancer Health Equity" (PACHE) for collaborative work with Brent lab.
1 April 2014
Roger Brent and Gaymon Bennett recently joined a AAAS working group on understanding big data in biology and its impacts on national security. This working group provides the Bennett and Brent with an opportunity to inform themselves about the science surrounding big data in 2014 and to define national security in ways they believe might be most conducive to democratic governance and human flourishing.
Center for Biological Futures: Roger Brent and Senior Research Fellow Gaymon Bennett were recently at the National Academy of Sciences Workshop on the H5NI controversy. See the CBF timelines on how these events have unfolded in scrolling or text form, or download a pdf.