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In genetic networks, information of relevance to the organism is represented by the concentrations of transcription factor molecules. In order to extract this information the cell must effectively "measure"' these concentrations, but there…

分子网络 · 定量生物学 2025-02-13 Marianne Bauer , Mariela D. Petkova , Thomas Gregor , Eric F. Wieschaus , William Bialek

How cells reliably infer information about their environment is a fundamentally important question. While sensing and signaling generally start with cell-surface receptors, the degree of accuracy with which a cell can measure external…

生物物理 · 物理学 2016-01-20 Gerardo Aquino , Ned S. Wingreen , Robert G. Endres

When cells measure concentrations of chemical signals, they may average multiple measurements over time in order to reduce noise in their measurements. However, when cells are in a environment that changes over time, past measurements may…

细胞行为 · 定量生物学 2025-03-05 Aparajita Kashyap , Wei Wang , Brian A. Camley

In a developing embryo, information about the position of cells is encoded in the concentrations of "morphogen" molecules. In the fruit fly, the local concentrations of just a handful of proteins encoded by the gap genes are sufficient to…

A ubiquitous way that cells share information is by exchanging molecules. Yet, the fundamental ways that this information exchange is influenced by intracellular dynamics remain unclear. Here we use information theory to investigate a…

生物物理 · 物理学 2020-07-23 Amir Erez , Tommy A. Byrd , Michael Vennettilli , Andrew Mugler

Cells in a developing embryo have no direct way of "measuring" their physical position. Through a variety of processes, however, the expression levels of multiple genes come to be correlated with position, and these expression levels thus…

分子网络 · 定量生物学 2012-01-04 Julien O. Dubuis , Gasper Tkacik , Eric F. Wieschaus , Thomas Gregor , William Bialek

Changes in a cell's external or internal conditions are usually reflected in the concentrations of the relevant transcription factors. These proteins in turn modulate the expression levels of the genes under their control and sometimes need…

分子网络 · 定量生物学 2013-08-01 Gasper Tkacik , Curtis G Callan , William Bialek

Cells measure concentrations of external ligands by capturing ligand molecules with cell surface receptors. The numbers of molecules captured by different receptors co-vary because they depend on the same extrinsic ligand fluctuations.…

神经元与认知 · 定量生物学 2016-09-21 Vijay Singh , Martin Tchernookov , Ilya Nemenman

Living cells deploy many resources to sense their environments, including receptors, downstream signaling molecules, time and fuel. However, it is not known which resources fundamentally limit the precision of sensing, like weak links in a…

分子网络 · 定量生物学 2014-01-31 Christopher C. Govern , Pieter Rein ten Wolde

Cellular signaling is essential in information processing and decision making. Therefore, a variety of experimental approaches have been developed to study signaling on bulk and single-cell level. Single-cell measurements of signaling…

定量方法 · 定量生物学 2019-04-18 Carolin Loos , Jan Hasenauer

In order to survive, reproduce and (in multicellular organisms) differentiate, cells must control the concentrations of the myriad different proteins that are encoded in the genome. The precision of this control is limited by the inevitable…

分子网络 · 定量生物学 2013-08-01 Gasper Tkacik , Aleksandra M. Walczak , William Bialek

The growth rate of organisms depends both on external conditions and on internal states, such as the expression levels of various genes. We show that to achieve a criterion mean growth rate over an ensemble of conditions, the internal…

种群与进化 · 定量生物学 2007-12-31 Samuel F. Taylor , Naftali Tishby , William Bialek

The number of ribosomes in a cell is considered as limiting, and gene expression is thus largely determined by their cellular concentration. In this work we develop a toy model to study the trade-off between the ribosomal supply and the…

亚细胞过程 · 定量生物学 2020-02-19 Pascal S. Rogalla , Timothy J. Rudge , Luca Ciandrini

The precision of concentration sensing is improved when cells communicate. Here we derive the physical limits to concentration sensing for cells that communicate over short distances by directly exchanging small molecules (juxtacrine…

生物物理 · 物理学 2017-03-15 Sean Fancher , Andrew Mugler

Cells continuously sense their surroundings to detect modifications and generate responses. Very often changes in extracellular concentrations initiate signaling cascades that eventually result in changes in gene expression. Increasing…

细胞行为 · 定量生物学 2024-08-27 Alan Givré , Alejandro Colman-Lerner , Silvina Ponce Dawson

Cellular decision making is based on regulatory circuits that associate signal thresholds to specific physiological actions. This transmission of information is subjected to molecular noise what can decrease its fidelity. Here, we show…

分子网络 · 定量生物学 2017-02-08 Guillermo Rodrigo , Juan F. Poyatos

Cells can be considered as systems that utilize changes in thermodynamic entropy as information. Therefore, they serve as useful models for investigating the relationships between entropy production and information transmission, i.e.,…

分子网络 · 定量生物学 2017-03-09 Tatsuaki Tsuruyama

How can we enable machines to make sense of the world, and become better at learning? To approach this goal, I believe viewing intelligence in terms of many integral aspects, and also a universal two-term tradeoff between task performance…

机器学习 · 计算机科学 2020-01-22 Tailin Wu

Central to the functioning of a living cell is its ability to control the readout or expression of information encoded in the genome. In many cases, a single transcription factor protein activates or represses the expression of many genes.…

分子网络 · 定量生物学 2013-05-29 Aleksandra M. Walczak , Gapser Tkacik , William Bialek

A major obstacle in analyzing the evolution of information exchange and processing is our insufficient understanding of the underlying signaling and decision-making biological mechanisms. For instance, it is unclear why are humans unique in…

种群与进化 · 定量生物学 2008-09-06 A. Feigel
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