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Deciphering how genes interpret information from the concentration of transcription factors (TFs) within the cell nucleus remains a fundamental question in gene regulation. Recent advancements have unveiled the heterogeneous distribution of…

生物物理 · 物理学 2024-11-07 Rahul Munshi , Jia Ling , Sergey Ryabichko , Eric F Wieschaus , Thomas Gregor

In the simplest view of transcriptional regulation, the expression of a gene is turned on or off by changes in the concentration of a transcription factor (TF). We use recent data on noise levels in gene expression to show that it should be…

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

A crucial step in the regulation of gene expression is binding of transcription factor (TF) proteins to regulatory sites along the DNA. But transcription factors act at nanomolar concentrations, and noise due to random arrival of these…

分子网络 · 定量生物学 2016-02-10 Thomas R. Sokolowski , Aleksandra M. Walczak , William Bialek , Gašper Tkačik

We examine the binding of transcription factors to DNA in terms of an information transfer problem. The input of the noisy channel is the biophysical signal of a factor bound to a DNA site, and the output is a distribution of probable DNA…

基因组学 · 定量生物学 2015-08-07 Yonatan Savir Jacob Kagan , Tsvi Tlusty

Transcription factors (TFs) interact with a multitude of binding sites on DNA and partner proteins inside cells. We investigate how nonspecific binding/unbinding to such decoy binding sites affects the magnitude and time-scale of random…

亚细胞过程 · 定量生物学 2015-04-15 Mohammad Soltani , Pavol Bokes , Zachary Fox , Abhyudai Singh

Transcription is regulated through binding factors to gene promoters to activate or repress expression, however, the mechanisms by which factors find targets remain unclear. Using single-molecule fluorescence microscopy, we determined in…

The regulation of a gene depends on the binding of transcription factors to specific sites located in the regulatory region of the gene. The generation of these binding sites and of cooperativity between them are essential building blocks…

统计力学 · 物理学 2007-05-23 Johannes Berg , Stana Willmann , Michael Lässig

Bacterial plant pathogens rely on a battalion of transcription factors to fine-tune their response to changing environmental conditions and marshal the genetic resources required for successful pathogenesis. Prediction of transcription…

基因组学 · 定量生物学 2013-06-27 Surya Saha , Magdalen Lindeberg

Genes are often regulated in living cells by proteins called transcription factors (TFs) that bind directly to short segments of DNA in close proximity to specific genes. These binding sites have a conserved nucleotide appearance, which is…

统计理论 · 数学 2007-06-13 Shane T. Jensen , Jun S. Liu

Conformational fluctuations are believed to play an important role in the process by which transcription factor proteins locate and bind their target site on the genome of a bacterium. Using a simple model, we show that the binding time can…

软凝聚态物质 · 物理学 2008-07-22 Longhua Hu , Alexander Y. Grosberg , Robijn Bruinsma

Many membrane-bound molecules in cells form small clusters. It has been hypothesized that these clusters convert an analog extracellular signal into a digital intracellular signal and that this conversion increases signaling fidelity.…

分子网络 · 定量生物学 2019-08-28 Edward Roob , Nicola Trendel , Pieter Rein ten Wolde , Andrew Mugler

We propose a novel classification model for weak signal data, building upon a recent model for Bayesian multi-view learning, Group Factor Analysis (GFA). Instead of assuming all data to come from a single GFA model, we allow latent…

机器学习 · 统计学 2016-06-08 Sami Remes , Tommi Mononen , Samuel Kaski

Evolution of gene regulation is crucial for our understanding of the phenotypic differences between species, populations and individuals. Sequence-specific binding of transcription factors to the regulatory regions on the DNA is a key…

种群与进化 · 定量生物学 2015-11-09 Murat Tuğrul , Tiago Paixão , Nicholas H. Barton , Gašper Tkačik

The recent advances in single-cell technologies have enabled us to profile genomic features at unprecedented resolution and datasets from multiple domains are available, including datasets that profile different types of genomic features…

机器学习 · 统计学 2020-06-09 Pengcheng Zeng , Zhixiang Lin

Currently, data-driven discovery in biological sciences resides in finding segmentation strategies in multivariate data that produce sensible descriptions of the data. Clustering is but one of several approaches and sometimes falls short…

定量方法 · 定量生物学 2022-08-12 Richard Tjörnhammar

We propose a change-point detection method for large scale multiple testing problems with data having clustered signals. Unlike the classic change-point setup, the signals can vary in size within a cluster. The clustering structure on the…

统计方法学 · 统计学 2021-10-07 Hongyuan Cao , Wei Biao Wu

It often is emphasized that gene expression is noisy. A seemingly contradictory view is that control mechanisms have been optimized to squeeze as much information as possible out of a limited number of molecules. Here we revisit these…

生物物理 · 物理学 2025-12-17 Nicholas Lawson , William Bialek

Living cells must control the reading out or "expression" of information encoded in their genomes, and this regulation often is mediated by transcription factors--proteins that bind to DNA and either enhance or repress the expression of…

分子网络 · 定量生物学 2013-08-01 Gašper Tkačik , Aleksandra M Walczak , William Bialek

In many cellular signaling pathways, key components form clusters at the cell membrane. Although much work has focused on the mechanisms behind such cluster formation, the implications for downstream signaling remain poorly understood.…

分子网络 · 定量生物学 2012-03-14 Andrew Mugler , Aimee Gotway Bailey , Koichi Takahashi , Pieter Rein ten Wolde

Computational approaches to transcription factor binding site identification have been actively researched for the past decade. Negative examples have long been utilized in de novo motif discovery and have been shown useful in transcription…

基因组学 · 定量生物学 2015-03-19 Chih Lee , Chun-Hsi Huang
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