Spatio-temporal protein dynamics in single living cells

Ankers, John; Spiller, David G.; White, Mike; Harper, Claire V.

doi:10.1016/j.copbio.2008.07.001

Cited by 23 publications

(15 citation statements)

References 48 publications

(29 reference statements)

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“…Providing high-frequency time-lapse imaging data of the same cells over long time periods enabled the identification of dynamic transcription processes, phenomena which are invisible to the single cell RNA counting snapshots used for previous analyses of transcriptional bursting [35],[36]. Biologically meaningful model parameters can be directly measured from the imaging data without requiring prior assumptions about the nature of the timings inherent in the system.…”

Section: Discussionmentioning

confidence: 99%

Dynamic Analysis of Stochastic Transcription Cycles

et al. 2011

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Section: Discussionmentioning

confidence: 99%

Dynamic Analysis of Stochastic Transcription Cycles

et al. 2011

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“…The challenge to bridge this gap will require powerful new methods, interdisciplinary strategies, and creative, bold minds. We are encouraged by efforts to apply information theory to quantitatively interpret signal transmission (53), by multiscale modeling to bridge the molecular simulations to biochemical networks (54), and by whole-cell mapping of signaling protein dynamics (55, 56). A holistic picture of the entire orchestra of dynamic contributions to cellular signaling can now begin to be envisioned.…”

Section: Perspective: From Atomic-resolution Domain Dynamics To Complmentioning

confidence: 99%

Sending Signals Dynamically

Smock

Gierasch

2009

Science

481

428

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Proteins mediate transmission of signals along intercellular and intracellular pathways and between the exterior and the interior of a cell. The dynamic properties of signaling proteins are crucial to their functions. We discuss emerging paradigms for the role of protein dynamics in signaling. A central tenet is that proteins fluctuate among many states on evolutionarily selected energy landscapes. Upstream signals remodel this landscape, causing signaling proteins to transmit information to downstream partners. New methods provide insight into the dynamic properties of signaling proteins at the atomic scale. The next stages in the signaling hierarchyhow multiple signals are integrated and how cellular signaling pathways are organized in space and time-present exciting challenges for the future, requiring bold multidisciplinary approaches.Transmission of signals between cells, within cells, and from the extracellular environment to the cellular interior is essential to life. In recent years, we have gained tremendous knowledge of the interacting networks that act as communication pathways for cellular signaling, culminating with extensive maps of "interactomes" based on genetic and physical interaction data [e.g., (1)]. Yet we know far less about how signals are passed from one component of a network to another. This puzzle can be viewed at the level of the protein machines that make up signaling networks: How does information, generally mediated by a binding interaction or a covalent modification, get relayed to the downstream member of the pathway?It is increasingly apparent that signaling relies on the intrinsic dynamic properties of proteins and that proteins relay signals by shifting among different fluctuating energy states in response to one or more inputs. This emerging view of signaling raises many compelling questions: What is the genetic information that encodes the functionally productive dynamic properties of a protein? How do individual protein domains cooperate to form signaling pathways? How are signals integrated in multicomponent interconnecting networks? How do the dynamics of signaling proteins ultimately determine the response times of cells to signals and the time scales for signal propagation? We are beginning to develop the methods and principles to address these questions, but many challenges lie ahead. Our ability to develop therapeutic modulators of signaling and to reengineer cellular communication pathways will rely on progress in this fascinating but complex arena.The intrinsic motions of proteins are determined by the covalent and noncovalent restraining forces that hold them together. The result is a symphony of dynamic modes oscillating at frequencies from picoseconds to milliseconds or even seconds. Tweaking a protein by a binding interaction or chemical modification alters this symphony, either gently changing its pitch or abruptly shifting the collective harmony. Just as the ability of a protein to fold is now understood to be best described by an "energy landscape," w...

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“…Transcription factors (TFs) are key components of the signaling cascades orchestrating a cell’s response to stress 8 . Curiously, many TFs exhibit dynamic behaviors in response to stress 9,10 . A recent genome-wide screen identified ~8% of the yeast TFs stochastically shuttle in and out of the nucleus under various conditions 9 .…”

Section: Strategies For the Epigenetic Inheritance Of Stress Responsementioning

confidence: 99%

Mechanisms for the epigenetic inheritance of stress response in single cells

Xue

Açar

2018

Curr Genet

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Cells have evolved to dynamically respond to different types of environmental and physiological stress conditions. The information about a previous stress stimulus experience by a mother cell can be passed to its descendants, allowing them to better adapt to and survive in new environments. In recent years, live-cell imaging combined with cell-lineage tracking approaches has elucidated many important principles that guide stress inheritance at the single-cell and population level. In this review, we summarize different strategies cells can employ to pass the ‘memory’ of previous stress responses to their descendants. Among these strategies, we focus on a recent discovery of how specific features of Msn2 nucleo-cytoplasmic shuttling dynamics could be inherited across cell lineages. We also discuss how stress response can be transmitted to progenies through changes in chromatin and through partitioning of anti-stress factors and/or damaged macromolecules between mother and daughter cells during cell division. Finally, we highlight how emergent technologies will help address open questions in the field.

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Spatio-temporal protein dynamics in single living cells

Cited by 23 publications

References 48 publications

Dynamic Analysis of Stochastic Transcription Cycles

Dynamic Analysis of Stochastic Transcription Cycles

Sending Signals Dynamically

Mechanisms for the epigenetic inheritance of stress response in single cells

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