Dynamics of transcriptional and post-transcriptional regulation.

Abstract:

:Despite gene expression programs being notoriously complex, RNA abundance is usually assumed as a proxy for transcriptional activity. Recently developed approaches, able to disentangle transcriptional and post-transcriptional regulatory processes, have revealed a more complex scenario. It is now possible to work out how synthesis, processing and degradation kinetic rates collectively determine the abundance of each gene's RNA. It has become clear that the same transcriptional output can correspond to different combinations of the kinetic rates. This underscores the fact that markedly different modes of gene expression regulation exist, each with profound effects on a gene's ability to modulate its own expression. This review describes the development of the experimental and computational approaches, including RNA metabolic labeling and mathematical modeling, that have been disclosing the mechanisms underlying complex transcriptional programs. Current limitations and future perspectives in the field are also discussed.

journal_name

Brief Bioinform

authors

Furlan M,de Pretis S,Pelizzola M

doi

10.1093/bib/bbaa389

subject

Has Abstract

pub_date

2020-12-22 00:00:00

eissn

1467-5463

issn

1477-4054

pii

6043290

pub_type

杂志文章
  • Links between kinetic data and sequences in the alpha/beta-hydrolases fold database.

    abstract::While the number of sequenced genes is increasing dramatically, the number of different protein structural families is expected to be more limited. Changes in enzymatic activity or protein interactions can dramatically modify the role of homologous proteins in different organisms or mutants. However, experimental data...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/2.1.30

    authors: Chatonnet A,Cousin X,Robinson A

    更新日期:2001-03-01 00:00:00

  • HITS-PR-HHblits: protein remote homology detection by combining PageRank and Hyperlink-Induced Topic Search.

    abstract::As one of the most important fundamental problems in protein sequence analysis, protein remote homology detection is critical for both theoretical research (protein structure and function studies) and real world applications (drug design). Although several computational predictors have been proposed, their detection p...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bby104

    authors: Liu B,Jiang S,Zou Q

    更新日期:2018-11-07 00:00:00

  • Characteristics and evolution of the ecosystem of software tools supporting research in molecular biology.

    abstract::Daily work in molecular biology presently depends on a large number of computational tools. An in-depth, large-scale study of that 'ecosystem' of Web tools, its characteristics, interconnectivity, patterns of usage/citation, temporal evolution and rate of decay is crucial for understanding the forces that shape it and...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bby001

    authors: Pazos F,Chagoyen M

    更新日期:2019-07-19 00:00:00

  • BamView: visualizing and interpretation of next-generation sequencing read alignments.

    abstract:UNLABELLED:So-called next-generation sequencing (NGS) has provided the ability to sequence on a massive scale at low cost, enabling biologists to perform powerful experiments and gain insight into biological processes. BamView has been developed to visualize and analyse sequence reads from NGS platforms, which have bee...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbr073

    authors: Carver T,Harris SR,Otto TD,Berriman M,Parkhill J,McQuillan JA

    更新日期:2013-03-01 00:00:00

  • Exon array data analysis using Affymetrix power tools and R statistical software.

    abstract::The use of microarray technology to measure gene expression on a genome-wide scale has been well established for more than a decade. Methods to process and analyse the vast quantity of expression data generated by a typical microarray experiment are similarly well-established. The Affymetrix Exon 1.0 ST array is a rel...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbq086

    authors: Lockstone HE

    更新日期:2011-11-01 00:00:00

  • Comparative analysis of methods for genome-wide nucleosome cartography.

    abstract::Nucleosomes contribute to compacting the genome into the nucleus and regulate the physical access of regulatory proteins to DNA either directly or through the epigenetic modifications of the histone tails. Precise mapping of nucleosome positioning across the genome is, therefore, essential to understanding the genome ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbu037

    authors: Quintales L,Vázquez E,Antequera F

    更新日期:2015-07-01 00:00:00

  • AlzRiskMR database: an online database for the impact of exposure factors on Alzheimer's disease.

    abstract::In view of great difficulties in the pathogenesis analysis of Alzheimer's disease (AD) presently, profiling the modifiable risk factors is crucial for early detection and intervention of AD. However, the causal associations among them have yet to be identified, and the effective integration and application of these da...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa213

    authors: Wang Z,Meng L,Liu H,Shen L,Ji HF

    更新日期:2020-09-21 00:00:00

  • Pathogenicity phenomena in three model systems: from network mining to emerging system-level properties.

    abstract::Understanding the interconnections of microbial pathogenicity phenomena, such as biofilm formation, quorum sensing and antimicrobial resistance, is a tremendous open challenge for biomedical research. Progress made by wet-lab researchers and bioinformaticians in understanding the underlying regulatory phenomena has be...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbt071

    authors: Castelhano Santos N,Pereira MO,Lourenço A

    更新日期:2015-01-01 00:00:00

  • Biodiversity informatics: organizing and linking information across the spectrum of life.

    abstract::Biological knowledge can be inferred from three major levels of information: molecules, organisms and ecologies. Bioinformatics is an established field that has made significant advances in the development of systems and techniques to organize contemporary molecular data; biodiversity informatics is an emerging discip...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbm037

    authors: Sarkar IN

    更新日期:2007-09-01 00:00:00

  • A proteogenomic approach to understand splice isoform functions through sequence and expression-based computational modeling.

    abstract::The products of multi-exon genes are a mixture of alternatively spliced isoforms, from which the translated proteins can have similar, different or even opposing functions. It is therefore essential to differentiate and annotate functions for individual isoforms. Computational approaches provide an efficient complemen...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbv109

    authors: Li HD,Omenn GS,Guan Y

    更新日期:2016-11-01 00:00:00

  • Docking of peptides to GPCRs using a combination of CABS-dock with FlexPepDock refinement.

    abstract::The structural description of peptide ligands bound to G protein-coupled receptors (GPCRs) is important for the discovery of new drugs and deeper understanding of the molecular mechanisms of life. Here we describe a three-stage protocol for the molecular docking of peptides to GPCRs using a set of different programs: ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa109

    authors: Badaczewska-Dawid AE,Kmiecik S,Koliński M

    更新日期:2020-06-10 00:00:00

  • Accounting for differential variability in detecting differentially methylated regions.

    abstract::DNA methylation plays an essential role in cancer. Differential variability (DV) in cancer was recently observed that contributes to cancer heterogeneity and has been shown to be crucial in detecting epigenetic field defects, DNA methylation alterations happening early in carcinogenesis. As neighboring CpG sites are h...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbx097

    authors: Wang Y,Teschendorff AE,Widschwendter M,Wang S

    更新日期:2019-01-18 00:00:00

  • Common introns within orthologous genes: software and application to plants.

    abstract::The residence of spliceosomal introns within protein-coding genes can fluctuate over time, with genes gaining, losing or conserving introns in a complex process that is not entirely understood. One approach for studying intron evolution is to compare introns with respect to position and type within closely related gen...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbp051

    authors: Wilkerson MD,Ru Y,Brendel VP

    更新日期:2009-11-01 00:00:00

  • Cloud 3D-QSAR: a web tool for the development of quantitative structure-activity relationship models in drug discovery.

    abstract::Effective drug discovery contributes to the treatment of numerous diseases but is limited by high costs and long cycles. The Quantitative Structure-Activity Relationship (QSAR) method was introduced to evaluate the activity of a large number of compounds virtually, reducing the time and labor costs required for chemic...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa276

    authors: Wang YL,Wang F,Shi XX,Jia CY,Wu FX,Hao GF,Yang GF

    更新日期:2020-11-03 00:00:00

  • Single-cell transcriptome-based multilayer network biomarker for predicting prognosis and therapeutic response of gliomas.

    abstract::Occurrence and development of cancers are governed by complex networks of interacting intercellular and intracellular signals. The technology of single-cell RNA sequencing (scRNA-seq) provides an unprecedented opportunity for dissecting the interplay between the cancer cells and the associated microenvironment. Here w...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz040

    authors: Zhang J,Guan M,Wang Q,Zhang J,Zhou T,Sun X

    更新日期:2020-05-21 00:00:00

  • Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.

    abstract:OBJECTIVE:Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML), including deep learning (DL), methodologies can inform patient care d...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa369

    authors: Davidson L,Boland MR

    更新日期:2021-01-06 00:00:00

  • Bioinformatics tools and challenges in structural analysis of lipidomics MS/MS data.

    abstract::Lipidomics, the systematic study of the lipid composition of a cell or tissue, is an invaluable complement to knowledge gained by genomics and proteomics research. Mass spectrometry provides a means to detect hundreds of lipids in parallel, and this includes low abundance species of lipids. Nevertheless, frequently oc...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbs030

    authors: Hartler J,Tharakan R,Köfeler HC,Graham DR,Thallinger GG

    更新日期:2013-05-01 00:00:00

  • Computational biology for cardiovascular biomarker discovery.

    abstract::Computational biology is essential in the process of translating biological knowledge into clinical practice, as well as in the understanding of biological phenomena based on the resources and technologies originating from the clinical environment. One such key contribution of computational biology is the discovery of...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbp008

    authors: Azuaje F,Devaux Y,Wagner D

    更新日期:2009-07-01 00:00:00

  • Critical limitations of prognostic signatures based on risk scores summarized from gene expression levels: a case study for resected stage I non-small-cell lung cancer.

    abstract::Most of current gene expression signatures for cancer prognosis are based on risk scores, usually calculated as some summaries of expression levels of the signature genes, whose applications require presetting risk score thresholds and data normalization. In this study, we demonstrate the critical limitations of such ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbv064

    authors: Qi L,Chen L,Li Y,Qin Y,Pan R,Zhao W,Gu Y,Wang H,Wang R,Chen X,Guo Z

    更新日期:2016-03-01 00:00:00

  • HVIDB: a comprehensive database for human-virus protein-protein interactions.

    abstract::While leading to millions of people's deaths every year the treatment of viral infectious diseases remains a huge public health challenge.Therefore, an in-depth understanding of human-virus protein-protein interactions (PPIs) as the molecular interface between a virus and its host cell is of paramount importance to ob...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa425

    authors: Yang X,Lian X,Fu C,Wuchty S,Yang S,Zhang Z

    更新日期:2021-01-30 00:00:00

  • Teaching the bioinformatics of signaling networks: an integrated approach to facilitate multi-disciplinary learning.

    abstract::The number of bioinformatics tools and resources that support molecular and cell biology approaches is continuously expanding. Moreover, systems and network biology analyses are accompanied more and more by integrated bioinformatics methods. Traditional information-centered university teaching methods often fail, as (...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbt024

    authors: Korcsmaros T,Dunai ZA,Vellai T,Csermely P

    更新日期:2013-09-01 00:00:00

  • Automated glycopeptide analysis--review of current state and future directions.

    abstract::Glycosylation of proteins is involved in immune defense, cell-cell adhesion, cellular recognition and pathogen binding and is one of the most common and complex post-translational modifications. Science is still struggling to assign detailed mechanisms and functions to this form of conjugation. Even the structural ana...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbs045

    authors: Dallas DC,Martin WF,Hua S,German JB

    更新日期:2013-05-01 00:00:00

  • Pathway enrichment analysis approach based on topological structure and updated annotation of pathway.

    abstract::Pathway enrichment analysis has been widely used to identify cancer risk pathways, and contributes to elucidating the mechanism of tumorigenesis. However, most of the existing approaches use the outdated pathway information and neglect the complex gene interactions in pathway. Here, we first reviewed the existing wide...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbx091

    authors: Yang Q,Wang S,Dai E,Zhou S,Liu D,Liu H,Meng Q,Jiang B,Jiang W

    更新日期:2019-01-18 00:00:00

  • CeRNASeek: an R package for identification and analysis of ceRNA regulation.

    abstract::Competitive endogenous RNA (ceRNA) represents a novel layer of gene regulation that controls both physiological and pathological processes. However, there is still lack of computational tools for quickly identifying ceRNA regulation. To address this problem, we presented an R-package, CeRNASeek, which allows identifyi...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa048

    authors: Zhang M,Jin X,Li J,Tian Y,Wang Q,Li X,Xu J,Li Y,Li X

    更新日期:2020-05-04 00:00:00

  • Identification and comprehensive characterization of lncRNAs with copy number variations and their driving transcriptional perturbed subpathways reveal functional significance for cancer.

    abstract::Numerous studies have shown that copy number variation (CNV) in lncRNA regions play critical roles in the initiation and progression of cancer. However, our knowledge about their functionalities is still limited. Here, we firstly provided a computational method to identify lncRNAs with copy number variation (lncRNAs-C...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz113

    authors: Xu Y,Wu T,Li F,Dong Q,Wang J,Shang D,Xu Y,Zhang C,Dou Y,Hu C,Yang H,Zheng X,Zhang Y,Wang L,Li X

    更新日期:2020-12-01 00:00:00

  • Class-imbalanced classifiers for high-dimensional data.

    abstract::A class-imbalanced classifier is a decision rule to predict the class membership of new samples from an available data set where the class sizes differ considerably. When the class sizes are very different, most standard classification algorithms may favor the larger (majority) class resulting in poor accuracy in the ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbs006

    authors: Lin WJ,Chen JJ

    更新日期:2013-01-01 00:00:00

  • Machine learning meets genome assembly.

    abstract:MOTIVATION:With the recent advances in DNA sequencing technologies, the study of the genetic composition of living organisms has become more accessible for researchers. Several advances have been achieved because of it, especially in the health sciences. However, many challenges which emerge from the complexity of sequ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bby072

    authors: Padovani de Souza K,Setubal JC,Ponce de Leon F de Carvalho AC,Oliveira G,Chateau A,Alves R

    更新日期:2019-11-27 00:00:00

  • Computational prediction of species-specific yeast DNA replication origin via iterative feature representation.

    abstract::Deoxyribonucleic acid replication is one of the most crucial tasks taking place in the cell, and it has to be precisely regulated. This process is initiated in the replication origins (ORIs), and thus it is essential to identify such sites for a deeper understanding of the cellular processes and functions related to t...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa304

    authors: Manavalan B,Basith S,Shin TH,Lee G

    更新日期:2020-11-25 00:00:00

  • SARS-CoV-2 hot-spot mutations are significantly enriched within inverted repeats and CpG island loci.

    abstract::SARS-CoV-2 is an intensively investigated virus from the order Nidovirales (Coronaviridae family) that causes COVID-19 disease in humans. Through enormous scientific effort, thousands of viral strains have been sequenced to date, thereby creating a strong background for deep bioinformatics studies of the SARS-CoV-2 ge...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa385

    authors: Goswami P,Bartas M,Lexa M,Bohálová N,Volná A,Červeň J,Červeňová V,Pečinka P,Špunda V,Fojta M,Brázda V

    更新日期:2020-12-21 00:00:00

  • Dr AFC: drug repositioning through anti-fibrosis characteristic.

    abstract::Fibrosis is a key component in the pathogenic mechanism of a variety of diseases. These diseases involving fibrosis may share common mechanisms and therapeutic targets, and therefore common intervention strategies and medicines may be applicable for these diseases. For this reason, deliberately introducing anti-fibros...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa115

    authors: Wu D,Gao W,Li X,Tian C,Jiao N,Fang S,Xiao J,Xu Z,Zhu L,Zhang G,Zhu R

    更新日期:2020-06-22 00:00:00