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Current biocomputing approaches predominantly rely on engineered circuits with fixed logic, offering limited stability and reliability under diverse environmental conditions. Here, we use the GRNN framework introduced in our previous work…

Emerging Technologies · Computer Science 2025-09-29 Adrian Ratwatte , Samitha Somathilaka , Thanh Cao , Xu Li , Sasitharan Balasubramaniam

Motivation: One of the branches of Systems Biology is focused on a deep understanding of underlying regulatory networks through the analysis of the biomolecules oscillations and their interplay. Synthetic Biology exploits gene or/and…

Molecular Networks · Quantitative Biology 2020-11-30 Francesco Bardozzo , Pietro Liò , Roberto Tagliaferri

In this paper we study an important global regulation mechanism of transcription of biological cells using specific macro-molecules, 6S RNAs. The functional property of 6S RNAs is of blocking the transcription of RNAs when the environment…

Probability · Mathematics 2022-08-22 Vincent Fromion , Philippe Robert , Jana Zaherddine

Physiological changes which result in changes in bacterial gene expression are often accompanied by changes in the growth rate for fast adapting enteric bacteria. Since the availability of RNA polymerase (RNAP) in cells is dependent on the…

Subcellular Processes · Quantitative Biology 2008-12-12 Stefan Klumpp , Terence Hwa

Gene expression is a noisy process and several mechanisms, both transcriptional and posttranscriptional, can stabilize protein levels in cells. Much work has focused on the role of miRNAs, showing in particular that miRNA-mediated…

Molecular Networks · Quantitative Biology 2017-03-09 Araks Martirosyan , Andrea De Martino , Andrea Pagnani , Enzo Marinari

The existence of latent cellular reservoirs is recognized as the major barrier to an HIV cure. Reactivating and eliminating "shock and kill" or permanently silencing "block and lock" the latent HIV reservoir, as well as gene editing, remain…

Biomolecules · Quantitative Biology 2025-04-25 Xiangshuai Liu

Antiterminators are essential components of bacterial transcriptional regulation, allowing the control of gene expression in response to fluctuating environmental conditions. Among them, RNA-binding antiterminator proteins play a major role…

Molecular Networks · Quantitative Biology 2025-09-17 Diane Soussan , Ali Tahrioui , Rafael Ruiz de la Haba , Adrien Forge , Sylvie Chevalier , Olivier Lesouhaitier , Cécile Muller

Single-cell RNA sequencing (scRNA-seq) is powerful technology that allows researchers to understand gene expression patterns at the single-cell level. However, analysing scRNA-seq data is challenging due to issues and biases in data…

Genomics · Quantitative Biology 2023-12-14 Jinlu Liu , Sara Wade , Natalia Bochkina

Recently, there has been a lot of effort in understanding sRNA mediated regulation of gene expression and how this mode of regulation differs from transcriptional regulation.In E.coli, in the presence of oxidative stress, the synthesis of…

Molecular Networks · Quantitative Biology 2016-09-30 Sutapa Mukherji

Background: MicroRNAs, post-transcriptional repressors of gene expression, play a pivotal role in gene regulatory networks. They are involved in core cellular processes and their dysregulation is associated to a broad range of human…

Molecular Networks · Quantitative Biology 2012-06-13 Carla Bosia , Matteo Osella , Mariama El Baroudi , Davide Corà , Michele Caselle

Emerging evidence suggests that the introns and intergenic sequences of the genomes of higher eukaryotes (the ``junk'' DNA) codes for a vast, RNA-based, genetic regulatory network. It is believed that this network is responsible for the…

Molecular Networks · Quantitative Biology 2007-05-23 Emmanuel Tannenbaum

We show that biological networks with serial regulation (each node regulated by at most one other node) are constrained to {\it direct functionality}, in which the sign of the effect of an environmental input on a target species depends…

Molecular Networks · Quantitative Biology 2009-11-30 Andrew Mugler , Etay Ziv , Ilya Nemenman , Chris H. Wiggins

Being able to design genetic regulatory networks (GRNs) to achieve a desired cellular function is one of the main goals of synthetic biology. However, determining minimal GRNs that produce desired time-series behaviors is non-trivial. In…

Computational Engineering, Finance, and Science · Computer Science 2022-01-24 Javier Garcia-Bernardo , Margaret J. Eppstein

RNA sequencing (RNA-seq) enables characterization and quantification of individual transcriptomes as well as detection of patterns of allelic expression and alternative splicing. Current RNA-seq protocols depend on high-throughput…

Genomics · Quantitative Biology 2015-06-19 Hyunghoon Cho , Joe Davis , Xin Li , Kevin S. Smith , Alexis Battle , Stephen B. Montgomery

Recent studies reported complex post-transcriptional interplay among targets of a common pool of microRNAs, a class of small non-coding downregulators of gene expression. Behaving as microRNA-sponges, distinct RNA species may compete for…

RNA-Seq technology allows for studying the transcriptional state of the cell at an unprecedented level of detail. Beyond quantification of whole-gene expression, it is now possible to disentangle the abundance of individual alternatively…

Genomics · Quantitative Biology 2012-10-11 Barbara Rakitsch , Christoph Lippert , Hande Topa , Karsten Borgwardt , Antti Honkela , Oliver Stegle

This methods paper presents computational protocols for the identification of non-coding RNA genes or RNA motifs within genomic sequences. An application to bacterial small RNA is proposed.

Quantitative Methods · Quantitative Biology 2015-12-23 Daniel Gautheret

Genetic regulatory networks enable cells to respond to the changes in internal and external conditions by dynamically coordinating their gene expression profiles. Our ability to make quantitative measurements in these biochemical circuits…

Biological Physics · Physics 2015-03-17 Aleksandra M Walczak , Gašper Tkačik

Applications of single-cell RNA sequencing in various biomedical research areas have been blooming. This new technology provides unprecedented opportunities to study disease heterogeneity at the cellular level. However, unique…

Genomics · Quantitative Biology 2021-10-26 Xinlei Mi , William Bekerman , Peter A. Sims , Peter D. Canoll , Jianhua Hu

Background: The evolution of microRNA regulation in metazoans is a mysterious process: MicroRNA sequences are highly conserved among distal organisms, but on the other hand, there is no evident conservation of their targets. Results: We…

Molecular Networks · Quantitative Biology 2008-02-27 Yonatan Bilu
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