My interdisciplinary research group draws on diverse scientific cultures to develop a creative, rigorous and quantitative approach to the fundamental question of how growth drives cell division. Our diverse backgrounds include mathematics, physics, engineering, biochemistry, genetics, and cell, molecular, and systems biology. This reflects my interdisciplinary training (BS Mathematics; BS Physics - MIT 1999; PhD Applied Mathematics - Cambridge 2004; Postdoctoral training Genetics, Cell, and Systems Biology - Rockefeller)
Faculty member, F1000 (2018 - Present)
Standing Member, NIH CSRS study section (2017 - Present)
Co-Organizer of 9th, 10th, and 11th Meetings, Salk Institute Cell Cycle Meeting, La Jolla, CA (2015 - Present)
Scientific Advisory Committee Member, 16th International Conference on Systems Biology (ICSB 2015), Singapore (2015 - Present)
Design Team, University Long Range Planning Natural World Design Team (2018 - 2019)
Honors & Awards
Postdoctoral Fellowship (F32), NIH (2006-2008)
Career Award at the Scientific Interface, Burroughs Wellcome Fund (2008)
Recipient, Hellman Faculty Scholar Award (2009)
Recipient, NSF Career Award (2011)
Named David Hunington Dean’s Faculty Scholar, David Hunington Dean’s (2012)
HHMI, Gates Foundation & Simons Foundation Faculty Scholar Award, HHMI (2016)
Trends in Cell Biology, Young and Trending, Trends in Cell Biology (2016)
Boards, Advisory Committees, Professional Organizations
Scientific Advisory Committee, American Society for Cell Biology (2009 - Present)
Scientific Advisory Committee, Genetics Society of America (2009 - Present)
Scientific Advisory Committee, Lake Tahoe Cell Size Control Meeting, Truckee, CA (2017 - Present)
Scientific Advisory Committee, European International Cell Cycle meeting, Trieste, Italy (2017 - Present)
Scientific Advisory Committee, EMBO Cell Size and Growth Meeting, Rehovot, Israel (2017 - Present)
Member of the Advisory Board, Molecular Systems Biology (2017 - Present)
Scientific Advisory Board, Billiontoone, Inc (2018 - Present)
PhD, University of Cambridge, Applied Mathematics (2004)
CASM Pt III, University of Cambridge, Applied Mathematics (2001)
BS, MIT, Mathematics (1999)
BS, MIT, Physics (1999)
Current Research and Scholarly Interests
My laboratory’s goal is to understand how cell growth triggers cell division. Linking growth to division is important because it allows cells to maintain a specific size range to best perform their physiological functions. Today, thanks to decades of research, we have an extensive, likely nearly complete parts-list of key regulatory proteins. Deletion, inhibition, or over-expression of these proteins often results in changes to cell size. However, the underlying molecular mechanisms for how growth triggers division are not understood. How do the regulatory proteins work together to produce a biochemical activity reflecting cell size or growth? Since we now have most of the parts, the next step to solving this fundamental question is to better understand how they work together.
My laboratory recently made a breakthrough discovery in understanding how growth triggers division in budding yeast. While it was expected that growth would act to increase the activities of the cyclin-dependent kinases (Cdk) known to promote cell division, this is not the case. Rather, we found that cell growth acts in the opposite manner. Cell growth triggers division by diluting a protein that inhibits cell division. We recently discovered an analogous mechanism operating in human cells.
Our discovery of a mechanism linking cell growth to cell division in budding yeast opens many avenues of research, three of which we are currently pursuing:
1. Cell size control results from the dilution of the cell cycle inhibitor Whi5 because its synthesis is independent of cell size. In contrast, most proteins are produced in proportion to cell size. We identified the set of proteins whose expression is largely independent of cell size. We now aim to determine the molecular mechanism(s) through which this occurs and identify the biological processes impacted.
2. We are addressing how gene expression depends on cell size in human cells. We are working with the Chan Zuckerberg Biohub Cell Atlas Project to establish a workflow so that all their single cell sequencing experiments will include data on cell size. This will allow us to examine cell size dependency of gene expression across an unprecedented number of human cell types.
3. Our work in yeast led us to the hypothesis that cell growth could trigger division in human cells by diluting a cell cycle inhibitor. We can apply our quantitative single-cell imaging approach because CRISPR-based genome editing allows us to tag cell cycle regulators with fluorescent proteins at their endogenous loci. We are now measuring and manipulating concentration dynamics in live cells to determine how cell growth impacts key regulators of division.
Our work has fundamental implications for understanding how the most basic aspect of cell morphology, cell size, is controlled. In the next 5 years, we aim to determine how growth triggers division in human cells, which has the potential to revolutionize our understanding of how cell division is regulated in both natural developmental contexts and in disease. Over the 5-10 year time horizon, we intend to pursue both developmental and medical directions.
- Principles of Cell Cycle Control
BIO 171, BIO 271, CSB 271 (Aut)
Independent Studies (12)
- Advanced Research Laboratory in Experimental Biology
BIO 199 (Aut, Win, Spr, Sum)
- Directed Reading in Biology
BIO 198 (Aut, Win, Spr, Sum)
- Directed Reading in Biophysics
BIOPHYS 399 (Aut, Win, Spr, Sum)
- Directed Reading in Cancer Biology
CBIO 299 (Win, Spr)
- Graduate Research
BIO 300 (Aut, Win, Spr, Sum)
- Graduate Research
BIOPHYS 300 (Aut, Win, Spr, Sum)
- Graduate Research
CBIO 399 (Aut, Win, Spr, Sum)
- Out-of-Department Advanced Research Laboratory in Experimental Biology
BIO 199X (Sum)
- Out-of-Department Directed Reading
BIO 198X (Sum)
- Out-of-Department Graduate Research
BIO 300X (Sum)
- Teaching Practicum in Biology
BIO 290 (Aut, Win, Spr)
- Teaching in Cancer Biology
CBIO 260 (Spr)
- Advanced Research Laboratory in Experimental Biology
- Prior Year Courses
Doctoral Dissertation Reader (AC)
Andrea Chaikovsky, Vivian Chen, Ray Futia, Eirini Tsekitsidou, Mike Van
Postdoctoral Faculty Sponsor
Mardo Koivomagi, Michael Lanz, Ali Shariati, Matthew Swaffer, Shicong Xie, Evgeny Zatulovskiy, Shuyuan Zhang
Doctoral Dissertation Advisor (AC)
Daniel Berenson, Cecelia Brown, Benjamin Topacio
Cell cycle, cell division, cell death.
Molecular biology of the cell
2019; 30 (6): 732
View details for PubMedID 30870093
Chromatin-associated RNA sequencing (ChAR-seq) maps genome-wide RNA-to-DNA contacts
RNA is a critical component of chromatin in eukaryotes, both as a product of transcription, and as an essential constituent of ribonucleoprotein complexes that regulate both local and global chromatin states. Here, we present a proximity ligation and sequencing method called Chromatin-Associated RNA sequencing (ChAR-seq) that maps all RNA-to-DNA contacts across the genome. Using Drosophila cells, we show that ChAR-seq provides unbiased, de novo identification of targets of chromatin-bound RNAs including nascent transcripts, chromosome-specific dosage compensation ncRNAs, and genome-wide trans-associated RNAs involved in co-transcriptional RNA processing.
View details for PubMedID 29648534
A Precise Cdk Activity Threshold Determines Passage through the Restriction Point.
2018; 69 (2): 253–64.e5
At the restriction point (R), mammalian cells irreversibly commit to divide. R has been viewed as a point in G1 that is passed when growth factor signaling initiates a positive feedback loop of Cdk activity. However, recent studies have cast doubt on this model by claiming R occurs prior to positive feedback activation in G1 or even before completion of the previous cell cycle. Here we reconcile these results and show that whereas many commonly used cell lines do not exhibit a G1 R, primary fibroblasts have a G1 R that is defined by a precise Cdk activity threshold and the activation of cell-cycle-dependent transcription. A simple threshold model, based solely on Cdk activity, predicted with more than 95% accuracy whether individual cells had passed R. That a single measurement accurately predicted cell fate shows that the state of complex regulatory networks can be assessed using a few critical protein activities.
View details for PubMedID 29351845
View details for PubMedCentralID PMC5790185
Form and function of topologically associating genomic domains in budding yeast
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2017; 114 (15): E3061-E3070
The genome of metazoan cells is organized into topologically associating domains (TADs) that have similar histone modifications, transcription level, and DNA replication timing. Although similar structures appear to be conserved in fission yeast, computational modeling and analysis of high-throughput chromosome conformation capture (Hi-C) data have been used to argue that the small, highly constrained budding yeast chromosomes could not have these structures. In contrast, herein we analyze Hi-C data for budding yeast and identify 200-kb scale TADs, whose boundaries are enriched for transcriptional activity. Furthermore, these boundaries separate regions of similarly timed replication origins connecting the long-known effect of genomic context on replication timing to genome architecture. To investigate the molecular basis of TAD formation, we performed Hi-C experiments on cells depleted for the Forkhead transcription factors, Fkh1 and Fkh2, previously associated with replication timing. Forkhead factors do not regulate TAD formation, but do promote longer-range genomic interactions and control interactions between origins near the centromere. Thus, our work defines spatial organization within the budding yeast nucleus, demonstrates the conserved role of genome architecture in regulating DNA replication, and identifies a molecular mechanism specifically regulating interactions between pericentric origins.
View details for DOI 10.1073/pnas.1612256114
View details for Web of Science ID 000398789800011
View details for PubMedID 28348222
View details for PubMedCentralID PMC5393236
Spatial and temporal signal processing and decision making by MAPK pathways.
journal of cell biology
2017; 216 (2): 317-330
Mitogen-activated protein kinase (MAPK) pathways are conserved from yeast to man and regulate a variety of cellular processes, including proliferation and differentiation. Recent developments show how MAPK pathways perform exquisite spatial and temporal signal processing and underscores the importance of studying the dynamics of signaling pathways to understand their physiological response. The importance of dynamic mechanisms that process input signals into graded downstream responses has been demonstrated in the pheromone-induced and osmotic stress-induced MAPK pathways in yeast and in the mammalian extracellular signal-regulated kinase MAPK pathway. Particularly, recent studies in the yeast pheromone response have shown how positive feedback generates switches, negative feedback enables gradient detection, and coherent feedforward regulation underlies cellular memory. More generally, a new wave of quantitative single-cell studies has begun to elucidate how signaling dynamics determine cell physiology and represents a paradigm shift from descriptive to predictive biology.
View details for DOI 10.1083/jcb.201609124
View details for PubMedID 28043970
View details for PubMedCentralID PMC5294789
Zygotic Genome Activation in Vertebrates.
2017; 42 (4): 316–32
The first major developmental transition in vertebrate embryos is the maternal-to-zygotic transition (MZT) when maternal mRNAs are degraded and zygotic transcription begins. During the MZT, the embryo takes charge of gene expression to control cell differentiation and further development. This spectacular organismal transition requires nuclear reprogramming and the initiation of RNAPII at thousands of promoters. Zygotic genome activation (ZGA) is mechanistically coordinated with other embryonic events, including changes in the cell cycle, chromatin state, and nuclear-to-cytoplasmic component ratios. Here, we review progress in understanding vertebrate ZGA dynamics in frogs, fish, mice, and humans to explore differences and emphasize common features.
View details for PubMedID 28829942
View details for PubMedCentralID PMC5714289
The Adder Phenomenon Emerges from Independent Control of Pre- and Post-Start Phases of the Budding Yeast Cell Cycle.
Current biology : CB
Although it has long been clear that cells actively regulate their size, the molecular mechanisms underlying this regulation have remained poorly understood. In budding yeast, cell size primarily modulates the duration of the cell-division cycle by controlling the G1/S transition known as Start. We have recently shown that the rate of progression through Start increases with cell size, because cell growth dilutes the cell-cycle inhibitor Whi5 in G1. Recent phenomenological studies in yeast and bacteria have shown that these cells add an approximately constant volume during each complete cell cycle, independent of their size at birth. These results seem to be in conflict, as the phenomenological studies suggest that cells measure the amount they grow, rather than their size, and that size control acts over the whole cell cycle, rather than specifically in G1. Here, we propose an integrated model that unifies the adder phenomenology with the molecular mechanism of G1/S cell-size control. We use single-cell microscopy to parameterize a full cell-cycle model based on independent control of pre- and post-Start cell-cycle periods. We find that our model predicts the size-independent amount of cell growth during the full cell cycle. This suggests that the adder phenomenon is an emergent property of the independent regulation of pre- and post-Start cell-cycle periods rather than the consequence of an underlying molecular mechanism measuring a fixed amount of growth.
View details for PubMedID 28889980
Switch-like Transitions Insulate Network Motifs to Modularize Biological Networks.
2016; 3 (2): 121-132
Cellular decisions are made by complex networks that are difficult to analyze. Although it is common to analyze smaller sub-networks known as network motifs, it is unclear whether this is valid, because these motifs are embedded in complex larger networks. Here, we address the general question of modularity by examining the S. cerevisiae pheromone response. We demonstrate that the feedforward motif controlling the cell-cycle inhibitor Far1 is insulated from cell-cycle dynamics by the positive feedback switch that drives reentry to the cell cycle. Before cells switch on positive feedback, the feedforward motif model predicts the behavior of the larger network. Conversely, after the switch, the feedforward motif is dismantled and has no discernable effect on the cell cycle. When insulation is broken, the feedforward motif no longer predicts network behavior. This work illustrates how, despite the interconnectivity of networks, the activity of motifs can be insulated by switches that generate well-defined cellular states.
View details for DOI 10.1016/j.cels.2016.06.010
View details for PubMedID 27453443
View details for PubMedCentralID PMC5001915
Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq
2016; 534 (7607): 391-?
Direct lineage reprogramming represents a remarkable conversion of cellular and transcriptome states. However, the intermediate stages through which individual cells progress during reprogramming are largely undefined. Here we use single-cell RNA sequencing at multiple time points to dissect direct reprogramming from mouse embryonic fibroblasts to induced neuronal cells. By deconstructing heterogeneity at each time point and ordering cells by transcriptome similarity, we find that the molecular reprogramming path is remarkably continuous. Overexpression of the proneural pioneer factor Ascl1 results in a well-defined initialization, causing cells to exit the cell cycle and re-focus gene expression through distinct neural transcription factors. The initial transcriptional response is relatively homogeneous among fibroblasts, suggesting that the early steps are not limiting for productive reprogramming. Instead, the later emergence of a competing myogenic program and variable transgene dynamics over time appear to be the major efficiency limits of direct reprogramming. Moreover, a transcriptional state, distinct from donor and target cell programs, is transiently induced in cells undergoing productive reprogramming. Our data provide a high-resolution approach for understanding transcriptome states during lineage differentiation.
View details for DOI 10.1038/nature18323
View details for Web of Science ID 000377856800037
View details for PubMedID 27281220
View details for PubMedCentralID PMC4928860
The Yeast Cyclin-Dependent Kinase Routes Carbon Fluxes to Fuel Cell Cycle Progression
2016; 62 (4): 532-545
Cell division entails a sequence of processes whose specific demands for biosynthetic precursors and energy place dynamic requirements on metabolism. However, little is known about how metabolic fluxes are coordinated with the cell division cycle. Here, we examine budding yeast to show that more than half of all measured metabolites change significantly through the cell division cycle. Cell cycle-dependent changes in central carbon metabolism are controlled by the cyclin-dependent kinase (Cdk1), a major cell cycle regulator, and the metabolic regulator protein kinase A. At the G1/S transition, Cdk1 phosphorylates and activates the enzyme Nth1, which funnels the storage carbohydrate trehalose into central carbon metabolism. Trehalose utilization fuels anabolic processes required to reliably complete cell division. Thus, the cell cycle entrains carbon metabolism to fuel biosynthesis. Because the oscillation of Cdk activity is a conserved feature of the eukaryotic cell cycle, we anticipate its frequent use in dynamically regulating metabolism for efficient proliferation.
View details for DOI 10.1016/j.molcel.2016.02.017
View details for Web of Science ID 000376445000008
View details for PubMedID 27203178
View details for PubMedCentralID PMC4875507
Punctuated evolution and transitional hybrid network in an ancestral cell cycle of fungi
Although cell cycle control is an ancient, conserved, and essential process, some core animal and fungal cell cycle regulators share no more sequence identity than non-homologous proteins. Here, we show that evolution along the fungal lineage was punctuated by the early acquisition and entrainment of the SBF transcription factor through horizontal gene transfer. Cell cycle evolution in the fungal ancestor then proceeded through a hybrid network containing both SBF and its ancestral animal counterpart E2F, which is still maintained in many basal fungi. We hypothesize that a virally-derived SBF may have initially hijacked cell cycle control by activating transcription via the cis-regulatory elements targeted by the ancestral cell cycle regulator E2F, much like extant viral oncogenes. Consistent with this hypothesis, we show that SBF can regulate promoters with E2F binding sites in budding yeast.
View details for DOI 10.7554/eLife.09492
View details for Web of Science ID 000376602700001
View details for PubMedID 27162172
View details for PubMedCentralID PMC4862756
COLD SPRING HARBOR PERSPECTIVES IN BIOLOGY
2016; 8 (4)
Cells of a given type maintain a characteristic cell size to function efficiently in their ecological or organismal context. They achieve this through the regulation of growth rates or by actively sensing size and coupling this signal to cell division. We focus this review on potential size-sensing mechanisms, including geometric, external cue, and titration mechanisms. Mechanisms that titrate proteins against DNA are of particular interest because they are consistent with the robust correlation of DNA content and cell size. We review the literature, which suggests that titration mechanisms may underlie cell-size sensing inXenopusembryos, budding yeast, andEscherichia coli, whereas alternative mechanisms may function in fission yeast.
View details for DOI 10.1101/cshperspect.a019083
View details for Web of Science ID 000373486900002
View details for PubMedID 26254313
View details for PubMedCentralID PMC4744813
The Biosynthetic Basis of Cell Size Control.
Trends in cell biology
2015; 25 (12): 793-802
Cell size is an important physiological trait that sets the scale of all biosynthetic processes. Although physiological studies have revealed that cells actively regulate their size, the molecular mechanisms underlying this regulation have remained unclear. Here we review recent progress in identifying the molecular mechanisms of cell size control. We focus on budding yeast, where cell growth dilutes a cell cycle inhibitor to couple growth and division. We discuss a new model for size control based on the titration of activator and inhibitor molecules whose synthesis rates are differentially dependent on cell size.
View details for DOI 10.1016/j.tcb.2015.10.006
View details for PubMedID 26573465
Mitosis is swell.
journal of cell biology
2015; 211 (4): 733-735
Cell volume and dry mass are typically correlated. However, in this issue, Zlotek-Zlotkiewicz et al. (2015. J. Cell Biol. http://dx.doi.org/10.1083/jcb.201505056) and Son et al. (2015. J. Cell Biol. http://dx.doi.org/10.1083/jcb.201505058) use new live-cell techniques to show that entry to mitosis coincides with rapid cell swelling, which is reversed before division.
View details for DOI 10.1083/jcb.201511007
View details for PubMedID 26598610
View details for PubMedCentralID PMC4657178
Dilution of the cell cycle inhibitor Whi5 controls budding-yeast cell size.
2015; 526 (7572): 268-272
Cell size fundamentally affects all biosynthetic processes by determining the scale of organelles and influencing surface transport. Although extensive studies have identified many mutations affecting cell size, the molecular mechanisms underlying size control have remained elusive. In the budding yeast Saccharomyces cerevisiae, size control occurs in G1 phase before Start, the point of irreversible commitment to cell division. It was previously thought that activity of the G1 cyclin Cln3 increased with cell size to trigger Start by initiating the inhibition of the transcriptional inhibitor Whi5 (refs 6-8). Here we show that although Cln3 concentration does modulate the rate at which cells pass Start, its synthesis increases in proportion to cell size so that its total concentration is nearly constant during pre-Start G1. Rather than increasing Cln3 activity, we identify decreasing Whi5 activity--due to the dilution of Whi5 by cell growth--as a molecular mechanism through which cell size controls proliferation. Whi5 is synthesized in S/G2/M phases of the cell cycle in a largely size-independent manner. This results in smaller daughter cells being born with higher Whi5 concentrations that extend their pre-Start G1 phase. Thus, at its most fundamental level, size control in budding yeast results from the differential scaling of Cln3 and Whi5 synthesis rates with cell size. More generally, our work shows that differential size-dependency of protein synthesis can provide an elegant mechanism to coordinate cellular functions with growth.
View details for DOI 10.1038/nature14908
View details for PubMedID 26390151
A genetically encoded Forster resonance energy transfer sensor for monitoring in vivo trehalose-6-phosphate dynamics
2015; 474: 1-7
Trehalose-6-phosphate is a pivotal regulator of sugar metabolism, growth, and osmotic equilibrium in bacteria, yeasts, and plants. To directly visualize the intracellular levels of intracellular trehalose-6-phosphate, we developed a series of specific Förster resonance energy transfer (FRET) sensors for in vivo microscopy. We demonstrated real-time monitoring of regulation in the trehalose pathway of Escherichia coli. In Saccharomyces cerevisiae, we could show that the concentration of free trehalose-6-phosphate during growth on glucose is in a range sufficient for inhibition of hexokinase. These findings support the hypothesis of trehalose-6-phosphate as the effector of a negative feedback system, similar to the inhibition of hexokinase by glucose-6-phosphate in mammalian cells and controlling glycolytic flux.
View details for DOI 10.1016/j.ab.2014.12.019
View details for Web of Science ID 000352170800001
View details for PubMedID 25582303
Compartmentalization of a Bistable Switch Enables Memory to Cross a Feedback-Driven Transition
2015; 160 (6): 1182-1195
Cells make accurate decisions in the face of molecular noise and environmental fluctuations by relying not only on present pathway activity, but also on their memory of past signaling dynamics. Once a decision is made, cellular transitions are often rapid and switch-like due to positive feedback loops in the regulatory network. While positive feedback loops are good at promoting switch-like transitions, they are not expected to retain information to inform subsequent decisions. However, this expectation is based on our current understanding of network motifs that accounts for temporal, but not spatial, dynamics. Here, we show how spatial organization of the feedback-driven yeast G1/S switch enables the transmission of memory of past pheromone exposure across this transition. We expect this to be one of many examples where the exquisite spatial organization of the eukaryotic cell enables previously well-characterized network motifs to perform new and unexpected signal processing functions.
View details for DOI 10.1016/j.cell.2015.02.032
View details for Web of Science ID 000351951800017
View details for PubMedID 25768911
Histone titration against the genome sets the DNA-to-cytoplasm threshold for the Xenopus midblastula transition.
Proceedings of the National Academy of Sciences of the United States of America
2015; 112 (10): E1086-95
During early development, animal embryos depend on maternally deposited RNA until zygotic genes become transcriptionally active. Before this maternal-to-zygotic transition, many species execute rapid and synchronous cell divisions without growth phases or cell cycle checkpoints. The coordinated onset of transcription, cell cycle lengthening, and cell cycle checkpoints comprise the midblastula transition (MBT). A long-standing model in the frog, Xenopus laevis, posits that MBT timing is controlled by a maternally loaded inhibitory factor that is titrated against the exponentially increasing amount of DNA. To identify MBT regulators, we developed an assay using Xenopus egg extract that recapitulates the activation of transcription only above the DNA-to-cytoplasm ratio found in embryos at the MBT. We used this system to biochemically purify factors responsible for inhibiting transcription below the threshold DNA-to-cytoplasm ratio. This unbiased approach identified histones H3 and H4 as concentration-dependent inhibitory factors. Addition or depletion of H3/H4 from the extract quantitatively shifted the amount of DNA required for transcriptional activation in vitro. Moreover, reduction of H3 protein in embryos induced premature transcriptional activation and cell cycle lengthening, and the addition of H3/H4 shortened post-MBT cell cycles. Our observations support a model for MBT regulation by DNA-based titration and suggest that depletion of free histones regulates the MBT. More broadly, our work shows how a constant concentration DNA binding molecule can effectively measure the amount of cytoplasm per genome to coordinate division, growth, and development.
View details for DOI 10.1073/pnas.1413990112
View details for PubMedID 25713373
View details for PubMedCentralID PMC4364222
Modularity and predictability in cell signaling and decision making
MOLECULAR BIOLOGY OF THE CELL
2014; 25 (22): 3445-3450
Cells make decisions to differentiate, divide, or apoptose based on multiple signals of internal and external origin. These decisions are discrete outputs from dynamic networks comprised of signaling pathways. Yet the validity of this decomposition of regulatory proteins into distinct pathways is unclear because many regulatory proteins are pleiotropic and interact through cross-talk with components of other pathways. In addition to the deterministic complexity of interconnected networks, there is stochastic complexity arising from the fluctuations in concentrations of regulatory molecules. Even within a genetically identical population of cells grown in the same environment, cell-to-cell variations in mRNA and protein concentrations can be as high as 50% in yeast and even higher in mammalian cells. Thus, if everything is connected and stochastic, what hope could we have for a quantitative understanding of cellular decisions? Here we discuss the implications of recent advances in genomics, single-cell, and single-cell genomics technology for network modularity and cellular decisions. On the basis of these recent advances, we argue that most gene expression stochasticity and pathway interconnectivity is nonfunctional and that cellular decisions are likely much more predictable than previously expected.
View details for DOI 10.1091/mbc.E14-02-0718
View details for Web of Science ID 000344236800004
View details for PubMedCentralID PMC4230600
Docking interactions: cell-cycle regulation and beyond.
2014; 24 (14): R647-9
In budding yeast, the mating pathway activates Far1 to inhibit G1 cyclins in complex with the cyclin-dependent kinase (Cln-Cdk). Yet, the molecular mechanism has remained largely unclear for over 20 years. A recent report helps shed light on this regulation.
View details for DOI 10.1016/j.cub.2014.05.060
View details for PubMedID 25050961
- Unravelling the Size Sensing Mechanism in Budding Yeast CELL PRESS. 2014: 595A
Start and the restriction point.
Current opinion in cell biology
2013; 25 (6): 717-723
Commitment to division requires that cells sense, interpret, and respond appropriately to multiple signals. In most eukaryotes, cells commit to division in G1 before DNA replication. Beyond a point, known as Start in yeast and the restriction point in mammals, cells will proceed through the cell cycle despite changes in upstream signals. In metazoans, misregulated G1 control can lead to developmental problems or disease, so it is important to understand how cells decipher the myriad external and internal signals that contribute to the fundamental all-or-none decision to divide. Extensive study of G1 control in the budding yeast Saccharomyces cerevisiae and mammalian culture systems has revealed highly similar networks regulating commitment. However, protein sequences of functional orthologs often indicate a total lack of conservation suggesting significant evolution of G1 control. Here, we review recent studies defining the conserved and diverged features of G1 control and highlight systems-level aspects that may be common to other biological regulatory networks.
View details for DOI 10.1016/j.ceb.2013.07.010
View details for PubMedID 23916770
View details for PubMedCentralID PMC3836907
CONSTRAINTS ON THE ADULT-OFFSPRING SIZE RELATIONSHIP IN PROTISTS
2013; 67 (12): 3537-3544
The relationship between adult and offspring size is an important aspect of reproductive strategy. Although this filial relationship has been extensively examined in plants and animals, we currently lack comparable data for protists, whose strategies may differ due to the distinct ecological and physiological constraints on single-celled organisms. Here, we report measurements of adult and offspring sizes in 3888 species and subspecies of foraminifera, a class of large marine protists. Foraminifera exhibit a wide range of reproductive strategies; species of similar adult size may have offspring whose sizes vary 100-fold. Yet, a robust pattern emerges. The minimum (5th percentile), median, and maximum (95th percentile) offspring sizes exhibit a consistent pattern of increase with adult size independent of environmental change and taxonomic variation over the past 400 million years. The consistency of this pattern may arise from evolutionary optimization of the offspring size-fecundity trade-off and/or from cell-biological constraints that limit the range of reproductive strategies available to single-celled organisms. When compared with plants and animals, foraminifera extend the evidence that offspring size covaries with adult size across an additional five orders of magnitude in organism size.
View details for DOI 10.1111/evo.12210
View details for Web of Science ID 000327572400013
View details for PubMedID 24299406
Nuclear Repulsion Enables Division Autonomy in a Single Cytoplasm
2013; 23 (20): 1999-2010
Current models of cell-cycle control, based on classic studies of fused cells, predict that nuclei in a shared cytoplasm respond to the same CDK activities to undergo synchronous cycling. However, synchrony is rarely observed in naturally occurring syncytia, such as the multinucleate fungus Ashbya gossypii. In this system, nuclei divide asynchronously, raising the question of how nuclear timing differences are maintained despite sharing a common milieu.We observe that neighboring nuclei are highly variable in division-cycle duration and that neighbors repel one another to space apart and demarcate their own cytoplasmic territories. The size of these territories increases as a nucleus approaches mitosis and can influence cycling rates. This nonrandom nuclear spacing is regulated by microtubules and is required for nuclear asynchrony, as nuclei that transiently come in very close proximity will partially synchronize. Sister nuclei born of the same mitosis are generally not persistent neighbors over their lifetimes yet remarkably retain similar division cycle times. This indicates that nuclei carry a memory of their birth state that influences their division timing and supports that nuclei subdivide a common cytosol into functionally distinct yet mobile compartments.These findings support that nuclei use cytoplasmic microtubules to establish "cells within cells." Individual compartments appear to push against one another to compete for cytoplasmic territory and insulate the division cycle. This provides a mechanism by which syncytial nuclei can spatially organize cell-cycle signaling and suggests size control can act in a system without physical boundaries.
View details for DOI 10.1016/j.cub.2013.07.076
View details for Web of Science ID 000326317300021
View details for PubMedID 24094857
Dead-end phosphorylation of Sic1 by Clb5-Cdk1 within the inhibitory complex controls the G1/S switch
WILEY-BLACKWELL. 2013: 195
View details for Web of Science ID 000327927400418
Mutually exclusive phosphorylation events control the decision between mating and cell cycle progression
WILEY-BLACKWELL. 2013: 66
View details for Web of Science ID 000327927400083
Control of cell cycle transcription during G1 and S phases
NATURE REVIEWS MOLECULAR CELL BIOLOGY
2013; 14 (8): 518-528
The accurate transition from G1 phase of the cell cycle to S phase is crucial for the control of eukaryotic cell proliferation, and its misregulation promotes oncogenesis. During G1 phase, growth-dependent cyclin-dependent kinase (CDK) activity promotes DNA replication and initiates G1-to-S phase transition. CDK activation initiates a positive feedback loop that further increases CDK activity, and this commits the cell to division by inducing genome-wide transcriptional changes. G1-S transcripts encode proteins that regulate downstream cell cycle events. Recent work is beginning to reveal the complex molecular mechanisms that control the temporal order of transcriptional activation and inactivation, determine distinct functional subgroups of genes and link cell cycle-dependent transcription to DNA replication stress in yeast and mammals.
View details for DOI 10.1038/nrm3629
View details for Web of Science ID 000322118200013
View details for PubMedID 23877564
Feedforward regulation ensures stability and rapid reversibility of a cellular state.
2013; 50 (6): 856-868
Cellular transitions are important for all life. Such transitions, including cell fate decisions, often employ positive feedback regulation to establish and stabilize new cellular states. However, positive feedback is unlikely to underlie stable cell-cycle arrest in yeast exposed to mating pheromone because the signaling pathway is linear, rather than bistable, over a broad range of extracellular pheromone concentration. We show that the stability of the pheromone-arrested state results from coherent feedforward regulation of the cell-cycle inhibitor Far1. This network motif is effectively isolated from the more complex regulatory network in which it is embedded. Fast regulation of Far1 by phosphorylation allows rapid cell-cycle arrest and reentry, whereas slow Far1 synthesis reinforces arrest. We expect coherent feedforward regulation to be frequently implemented at reversible cellular transitions because this network motif can achieve the ostensibly conflicting aims of arrest stability and rapid reversibility without loss of signaling information.
View details for DOI 10.1016/j.molcel.2013.04.014
View details for PubMedID 23685071
- Cell growth and cell cycle control. Molecular biology of the cell 2013; 24 (6): 678-?
A SHIFT IN THE LONG-TERM MODE OF FORAMINIFERAN SIZE EVOLUTION CAUSED BY THE END-PERMIAN MASS EXTINCTION
2013; 67 (3): 816-827
Size is among the most important traits of any organism, yet the factors that control its evolution remain poorly understood. In this study, we investigate controls on the evolution of organismal size using a newly compiled database of nearly 25,000 foraminiferan species and subspecies spanning the past 400 million years. We find a transition in the pattern of foraminiferan size evolution from correlation with atmospheric pO2 during the Paleozoic (400-250 million years ago) to long-term stasis during the post-Paleozoic (250 million years ago to present). Thus, a dramatic shift in the evolutionary mode coincides with the most severe biotic catastrophe of the Phanerozoic (543 million years ago to present). Paleozoic tracking of pO2 was confined to Order Fusulinida, whereas Paleozoic lagenides, miliolids, and textulariids were best described by the stasis model. Stasis continued to best describe miliolids and textulariids during post-Paleozoic time, whereas random walk was the best supported mode for the other diverse orders. The shift in evolutionary dynamics thus appears to have resulted primarily from the selective elimination of fusulinids at the end of the Permian Period. These findings illustrate the potential for mass extinction to alter macroevolutionary dynamics for hundreds of millions of years.
View details for DOI 10.1111/j.1558-5646.2012.01807.x
View details for Web of Science ID 000315894800018
View details for PubMedID 23461330
An algorithm to automate yeast segmentation and tracking.
2013; 8 (3)
Our understanding of dynamic cellular processes has been greatly enhanced by rapid advances in quantitative fluorescence microscopy. Imaging single cells has emphasized the prevalence of phenomena that can be difficult to infer from population measurements, such as all-or-none cellular decisions, cell-to-cell variability, and oscillations. Examination of these phenomena requires segmenting and tracking individual cells over long periods of time. However, accurate segmentation and tracking of cells is difficult and is often the rate-limiting step in an experimental pipeline. Here, we present an algorithm that accomplishes fully automated segmentation and tracking of budding yeast cells within growing colonies. The algorithm incorporates prior information of yeast-specific traits, such as immobility and growth rate, to segment an image using a set of threshold values rather than one specific optimized threshold. Results from the entire set of thresholds are then used to perform a robust final segmentation.
View details for DOI 10.1371/journal.pone.0057970
View details for PubMedID 23520484
View details for PubMedCentralID PMC3592893
LATE PALEOZOIC FUSULINOIDEAN GIGANTISM DRIVEN BY ATMOSPHERIC HYPEROXIA
2012; 66 (9): 2929-2939
Atmospheric hyperoxia, with pO(2) in excess of 30%, has long been hypothesized to account for late Paleozoic (360-250 million years ago) gigantism in numerous higher taxa. However, this hypothesis has not been evaluated statistically because comprehensive size data have not been compiled previously at sufficient temporal resolution to permit quantitative analysis. In this study, we test the hyperoxia-gigantism hypothesis by examining the fossil record of fusulinoidean foraminifers, a dramatic example of protistan gigantism with some individuals exceeding 10 cm in length and exceeding their relatives by six orders of magnitude in biovolume. We assembled and examined comprehensive regional and global, species-level datasets containing 270 and 1823 species, respectively. A statistical model of size evolution forced by atmospheric pO(2) is conclusively favored over alternative models based on random walks or a constant tendency toward size increase. Moreover, the ratios of volume to surface area in the largest fusulinoideans are consistent in magnitude and trend with a mathematical model based on oxygen transport limitation. We further validate the hyperoxia-gigantism model through an examination of modern foraminiferal species living along a measured gradient in oxygen concentration. These findings provide the first quantitative confirmation of a direct connection between Paleozoic gigantism and atmospheric hyperoxia.
View details for DOI 10.1111/j.1558-5646.2012.01626.x
View details for Web of Science ID 000308405100020
View details for PubMedID 22946813
Cell Size Control in Yeast
2012; 22 (9): R350-R359
Cell size is an important adaptive trait that influences nearly all aspects of cellular physiology. Despite extensive characterization of the cell-cycle regulatory network, the molecular mechanisms coupling cell growth to division, and thereby controlling cell size, have remained elusive. Recent work in yeast has reinvigorated the size control field and suggested provocative mechanisms for the distinct functions of setting and sensing cell size. Further examination of size-sensing models based on spatial gradients and molecular titration, coupled with elucidation of the pathways responsible for nutrient-modulated target size, may reveal the fundamental principles of eukaryotic cell size control.
View details for DOI 10.1016/j.cub.2012.02.041
View details for Web of Science ID 000303967600019
View details for PubMedID 22575477
View details for PubMedCentralID PMC3350643
Evolution of networks and sequences in eukaryotic cell cycle control
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
2011; 366 (1584): 3532-3544
The molecular networks regulating the G1-S transition in budding yeast and mammals are strikingly similar in network structure. However, many of the individual proteins performing similar network roles appear to have unrelated amino acid sequences, suggesting either extremely rapid sequence evolution, or true polyphyly of proteins carrying out identical network roles. A yeast/mammal comparison suggests that network topology, and its associated dynamic properties, rather than regulatory proteins themselves may be the most important elements conserved through evolution. However, recent deep phylogenetic studies show that fungal and animal lineages are relatively closely related in the opisthokont branch of eukaryotes. The presence in plants of cell cycle regulators such as Rb, E2F and cyclins A and D, that appear lost in yeast, suggests cell cycle control in the last common ancestor of the eukaryotes was implemented with this set of regulatory proteins. Forward genetics in non-opisthokonts, such as plants or their green algal relatives, will provide direct information on cell cycle control in these organisms, and may elucidate the potentially more complex cell cycle control network of the last common eukaryotic ancestor.
View details for DOI 10.1098/rstb.2011.0078
View details for Web of Science ID 000296981900006
View details for PubMedID 22084380
View details for PubMedCentralID PMC3203458
Commitment to a Cellular Transition Precedes Genome-wide Transcriptional Change
2011; 43 (4): 515-527
In budding yeast, commitment to cell division corresponds to activating the positive feedback loop of G1 cyclins controlled by the transcription factors SBF and MBF. This pair of transcription factors has over 200 targets, implying that cell-cycle commitment coincides with genome-wide changes in transcription. Here, we find that genes within this regulon have a well-defined distribution of transcriptional activation times. Combinatorial use of SBF and MBF results in a logical OR function for gene expression and partially explains activation timing. Activation of G1 cyclin expression precedes the activation of the bulk of the G1/S regulon, ensuring that commitment to cell division occurs before large-scale changes in transcription. Furthermore, we find similar positive feedback-first regulation in the yeasts S. bayanus and S. cerevisiae, as well as human cells. The widespread use of the feedback-first motif in eukaryotic cell-cycle control, implemented by nonorthologous proteins, suggests its frequent deployment at cellular transitions.
View details for DOI 10.1016/j.molcel.2011.06.024
View details for Web of Science ID 000294151000005
View details for PubMedID 21855792
View details for PubMedCentralID PMC3160620
Distinct Interactions Select and Maintain a Specific Cell Fate
2011; 43 (4): 528-539
The ability to specify and maintain discrete cell fates is essential for development. However, the dynamics underlying selection and stability of distinct cell types remain poorly understood. Here, we provide a quantitative single-cell analysis of commitment dynamics during the mating-mitosis switch in budding yeast. Commitment to division corresponds precisely to activating the G1 cyclin positive feedback loop in competition with the cyclin inhibitor Far1. Cyclin-dependent phosphorylation and inhibition of the mating pathway scaffold Ste5 are required to ensure exclusive expression of the mitotic transcriptional program after cell cycle commitment. Failure to commit exclusively results in coexpression of both cell cycle and pheromone-induced genes, and a morphologically mixed inviable cell fate. Thus, specification and maintenance of a cellular state are performed by distinct interactions, which are likely a consequence of disparate reaction rates and may be a general feature of the interlinked regulatory networks responsible for selecting cell fates.
View details for DOI 10.1016/j.molcel.2011.06.025
View details for Web of Science ID 000294151000006
View details for PubMedID 21855793
View details for PubMedCentralID PMC3160603
Daughter-Specific Transcription Factors Regulate Cell Size Control in Budding Yeast
2009; 7 (10)
In budding yeast, asymmetric cell division yields a larger mother and a smaller daughter cell, which transcribe different genes due to the daughter-specific transcription factors Ace2 and Ash1. Cell size control at the Start checkpoint has long been considered to be a main regulator of the length of the G1 phase of the cell cycle, resulting in longer G1 in the smaller daughter cells. Our recent data confirmed this concept using quantitative time-lapse microscopy. However, it has been proposed that daughter-specific, Ace2-dependent repression of expression of the G1 cyclin CLN3 had a dominant role in delaying daughters in G1. We wanted to reconcile these two divergent perspectives on the origin of long daughter G1 times. We quantified size control using single-cell time-lapse imaging of fluorescently labeled budding yeast, in the presence or absence of the daughter-specific transcriptional regulators Ace2 and Ash1. Ace2 and Ash1 are not required for efficient size control, but they shift the domain of efficient size control to larger cell size, thus increasing cell size requirement for Start in daughters. Microarray and chromatin immunoprecipitation experiments show that Ace2 and Ash1 are direct transcriptional regulators of the G1 cyclin gene CLN3. Quantification of cell size control in cells expressing titrated levels of Cln3 from ectopic promoters, and from cells with mutated Ace2 and Ash1 sites in the CLN3 promoter, showed that regulation of CLN3 expression by Ace2 and Ash1 can account for the differential regulation of Start in response to cell size in mothers and daughters. We show how daughter-specific transcriptional programs can interact with intrinsic cell size control to differentially regulate Start in mother and daughter cells. This work demonstrates mechanistically how asymmetric localization of cell fate determinants results in cell-type-specific regulation of the cell cycle.
View details for DOI 10.1371/journal.pbio.1000221
View details for Web of Science ID 000272031800011
View details for PubMedID 19841732
View details for PubMedCentralID PMC2756959
- Cell signaling. To divide or not to divide. Science 2009; 324 (5926): 476-477
Positive feedback of G1 cyclins ensures coherent cell cycle entry
2008; 454 (7202): 291-U12
In budding yeast, Saccharomyces cerevisiae, the Start checkpoint integrates multiple internal and external signals into an all-or-none decision to enter the cell cycle. Here we show that Start behaves like a switch due to systems-level feedback in the regulatory network. In contrast to current models proposing a linear cascade of Start activation, transcriptional positive feedback of the G1 cyclins Cln1 and Cln2 induces the near-simultaneous expression of the approximately 200-gene G1/S regulon. Nuclear Cln2 drives coherent regulon expression, whereas cytoplasmic Cln2 drives efficient budding. Cells with the CLN1 and CLN2 genes deleted frequently arrest as unbudded cells, incurring a large fluctuation-induced fitness penalty due to both the lack of cytoplasmic Cln2 and insufficient G1/S regulon expression. Thus, positive-feedback-amplified expression of Cln1 and Cln2 simultaneously drives robust budding and rapid, coherent regulon expression. A similar G1/S regulatory network in mammalian cells, comprised of non-orthologous genes, suggests either conservation of regulatory architecture or convergent evolution.
View details for DOI 10.1038/nature07118
View details for Web of Science ID 000257665300029
View details for PubMedID 18633409
View details for PubMedCentralID PMC2606905
Settling and swimming of flexible fluid-lubricated foils
PHYSICAL REVIEW LETTERS
2007; 99 (22)
We study the dynamics of a flexible foil immersed in a fluid and moving close to a rigid wall. Lubrication theory allows us to derive equations of motion for the foil and thus examine the passive settling and the active swimming of a foil. This also allows us to partly answer the long-standing question in cartoon physics--can carpets fly? Our analysis suggests a region in parameter space where one may realize this dream and move the virtual towards reality.
View details for DOI 10.1103/PhysRevLett.99.224503
View details for Web of Science ID 000251327500029
View details for PubMedID 18233292
The effects of molecular noise and size control on variability in the budding yeast cell cycle
2007; 448 (7156): 947-U12
Molecular noise in gene expression can generate substantial variability in protein concentration. However, its effect on the precision of a natural eukaryotic circuit such as the control of cell cycle remains unclear. We use single-cell imaging of fluorescently labelled budding yeast to measure times from division to budding (G1) and from budding to the next division. The variability in G1 decreases with the square root of the ploidy through a 1N/2N/4N ploidy series, consistent with simple stochastic models for molecular noise. Also, increasing the gene dosage of G1 cyclins decreases the variability in G1. A new single-cell reporter for cell protein content allows us to determine the contribution to temporal G1 variability of deterministic size control (that is, smaller cells extending G1). Cell size control contributes significantly to G1 variability in daughter cells but not in mother cells. However, even in daughters, size-independent noise is the largest quantitative contributor to G1 variability. Exit of the transcriptional repressor Whi5 from the nucleus partitions G1 into two temporally uncorrelated and functionally distinct steps. The first step, which depends on the G1 cyclin gene CLN3, corresponds to noisy size control that extends G1 in small daughters, but is of negligible duration in mothers. The second step, whose variability decreases with increasing CLN2 gene dosage, is similar in mothers and daughters. This analysis decomposes the regulatory dynamics of the Start transition into two independent modules, a size sensing module and a timing module, each of which is predominantly controlled by a different G1 cyclin.
View details for DOI 10.1038/nature06072
View details for Web of Science ID 000248912900051
View details for PubMedID 17713537
Red blood cells and other nonspherical capsules in shear flow: Oscillatory dynamics and the tank-treading-to-tumbling transition
PHYSICAL REVIEW LETTERS
2007; 98 (7)
We consider the motion of red blood cells and other nonspherical microcapsules dilutely suspended in a simple shear flow. Our analysis indicates that depending on the viscosity, membrane elasticity, geometry, and shear rate, the particle exhibits either tumbling, tank-treading of the membrane about the viscous interior with periodic oscillations of the orientation angle, or intermittent behavior in which the two modes occur alternately. For red blood cells, we compute the complete phase diagram and identify a novel tank-treading-to-tumbling transition as the shear rate decreases. Observations of such motions coupled with our theoretical framework may provide a sensitive means of assessing capsule properties.
View details for DOI 10.1103/PhysRevLett.98.078301
View details for Web of Science ID 000244250300069
View details for PubMedID 17359066
Gravitational collapse of colloidal gels
PHYSICAL REVIEW LETTERS
2005; 94 (21)
We present a unified framework for understanding the compaction of colloidal gels under their own weight. The dynamics of the collapse are determined by the value of the gravitational stress sigma(g), as compared to the yield stress sigma(Y) of the network. For sigma(g)
sigma(Y), the network eventually yields, leading to rapid settling. In both cases, the rate of collapse is backflow limited, while its overall magnitude is determined by a balance between gravitational stress and network elastic stress.
View details for DOI 10.1103/PhysRevLett.94.218302
View details for Web of Science ID 000229543900053
View details for PubMedID 16090356
Physical limits and design principles for plant and fungal movements
2005; 308 (5726): 1308-1310
The typical scales for plant and fungal movements vary over many orders of magnitude in time and length, but they are ultimately based on hydraulics and mechanics. We show that quantification of the length and time scales involved in plant and fungal motions leads to a natural classification, whose physical basis can be understood through an analysis of the mechanics of water transport through an elastic tissue. Our study also suggests a design principle for nonmuscular hydraulically actuated structures: Rapid actuation requires either small size or the enhancement of motion on large scales via elastic instabilities.
View details for DOI 10.1126/science.1107976
View details for Web of Science ID 000229482300047
View details for PubMedID 15919993
How the Venus flytrap snaps
2005; 433 (7024): 421-425
The rapid closure of the Venus flytrap (Dionaea muscipula) leaf in about 100 ms is one of the fastest movements in the plant kingdom. This led Darwin to describe the plant as "one of the most wonderful in the world". The trap closure is initiated by the mechanical stimulation of trigger hairs. Previous studies have focused on the biochemical response of the trigger hairs to stimuli and quantified the propagation of action potentials in the leaves. Here we complement these studies by considering the post-stimulation mechanical aspects of Venus flytrap closure. Using high-speed video imaging, non-invasive microscopy techniques and a simple theoretical model, we show that the fast closure of the trap results from a snap-buckling instability, the onset of which is controlled actively by the plant. Our study identifies an ingenious solution to scaling up movements in non-muscular engines and provides a general framework for understanding nastic motion in plants.
View details for DOI 10.1038/nature03185
View details for Web of Science ID 000226546200044
View details for PubMedID 15674293
- Soft elastohydrodynamic contacts Phys. Fluids 2005; 17
PHYSICAL REVIEW LETTERS
2004; 92 (24)
We consider some basic principles of fluid-induced lubrication at soft interfaces. In particular, we quantify how a soft substrate changes the geometry of and the forces between surfaces sliding past each other. By considering the model problem of a symmetric nonconforming contact moving tangentially to a thin elastic layer, we determine the normal force in the small and large deflection limit, and show that there is an optimal combination of material and geometric properties which maximizes the normal force. Our results can be generalized to a variety of other geometries which show the same qualitative behavior. Thus, they are relevant in the elastohydrodynamic lubrication of soft elastic and poroelastic gels and shells, and in the context of biolubrication in cartilaginous joints.
View details for DOI 10.1103/PhysRevLett.92.245509
View details for Web of Science ID 000222112900030
View details for PubMedID 15245101
- Dynamics of poroelastic filaments Proc. R. Soc. London Ser. A 2004; 460: 1995-2020
- On the instability of a falling film due to localized heating J. Fluid Mech., 2003; 475: 1-19
- Evaporatively driven convection in a draining soap film Phys. Fluids, 2000; S1