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Related papers: Long non-coding RNAs as a source of new peptides

200 papers

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

The birth of new genes is an important motor of evolutionary innovation. Whereas many new genes arise by gene duplication, others originate at genomic regions that do not contain any gene or gene copy. Some of these newly expressed genes…

The prevalence of neutral mutations implies that biological systems typically have many more genotypes than phenotypes. But can the way that genotypes are distributed over phenotypes determine evolutionary outcomes? Answering such questions…

Populations and Evolution · Quantitative Biology 2015-09-28 Kamaludin Dingle , Steffen Schaper , Ard A. Louis

Over the past few years, microRNAs (miRNAs) have emerged as a new prominent class of gene regulatory factors that negatively regulate expression of approximately one-third of the genes in animal genomes at post-transcriptional level.…

Genomics · Quantitative Biology 2007-05-23 Qinghua Cui , Zhenbao Yu , Youlian Pan , Enrico Purisima , Edwin Wang

The ribosomal density along the coding region of the mRNA molecule affect various fundamental intracellular phenomena including: protein production rates, organismal fitness, ribosomal drop off, and co-translational protein folding. Thus,…

Genomics · Quantitative Biology 2017-05-19 Yoram Zarai , Michael Margaliot , Eduardo D. Sontag , Tamir Tuller

DNA is subject to large deformations in a wide range of biological processes. Two key examples illustrate how such deformations influence the readout of the genetic information: the sequestering of eukaryotic genes by nucleosomes, and DNA…

Biomolecules · Quantitative Biology 2015-11-10 Stephanie Johnson , Martin Lindén , Rob Phillips

Conditional random fields (CRFs) have been shown to be one of the most successful approaches to sequence labeling. Various linear-chain neural CRFs (NCRFs) are developed to implement the non-linear node potentials in CRFs, but still keeping…

Machine Learning · Computer Science 2018-11-06 Kai Hu , Zhijian Ou , Min Hu , Junlan Feng

The subcellular localization of RNAs, including long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs), microRNAs (miRNAs) and other smaller RNAs, plays a critical role in determining their biological functions. For instance, lncRNAs are…

Computer Vision and Pattern Recognition · Computer Science 2025-04-25 Cece Zhang , Xuehuan Zhu , Nick Peterson , Jieqiong Wang , Shibiao Wan

Noncoding RNA (ncRNA) and long noncoding RNA (lncRNA) are scientifically invalid terms because they define molecular entities according to properties they do not possess and functions they do not perform. Here, I suggest retiring these two…

Populations and Evolution · Quantitative Biology 2017-09-06 Dan Graur

Gene essentiality refers to the degree to which a gene is necessary for the survival and reproductive efficacy of a living organism. Although the essentiality of non-coding genes has been documented, there are still aspects of non-coding…

Molecular Networks · Quantitative Biology 2023-09-20 Hanlin Zhang , Wenzheng Cheng

Protein synthesis rates are determined, at the translational level, by properties of the transcript's sequence. The efficiency of an mRNA can be tuned by varying the ribosome binding sites controlling the recruitment of the ribosomes, or…

Subcellular Processes · Quantitative Biology 2017-12-14 Lucas D. Fernandes , Alessandro P. S. de Moura , Luca Ciandrini

MicroRNAs are endogenous non-coding RNAs which negatively regulate the expression of protein-coding genes in plants and animals. They are known to play an important role in several biological processes and, together with transcription…

Molecular Networks · Quantitative Biology 2015-03-13 Matteo Osella , Carla Bosia , Davide Cora' , Michele Caselle

The paper proposes to employ deep convolutional neural networks (CNNs) to classify noncoding RNA (ncRNA) sequences. To this end, we first propose an efficient approach to convert the RNA sequences into images characterizing their…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Brian McClannahan , Krushi Patel , Usman Sajid , Cuncong Zhong , Guanghui Wang

It is conceivable that an RNA virus could use a polysome, that is, a string of ribosomes covering the RNA strand, to protect the genetic material from degradation inside a host cell. This paper discusses how such a virus might operate, and…

Subcellular Processes · Quantitative Biology 2021-06-24 Michael Wilkinson , David Yllanes , Greg Huber

Long non-coding RNAs (lncRNAs) are important regulators to modulate gene expression and cell proliferation in the developing human brain. Previous methods mainly use bulk lncRNA and mRNA expression data to study lncRNA regulation. However,…

Molecular Networks · Quantitative Biology 2022-12-01 Meng Huang , Jiangtao Ma , Changzhou Long , Junpeng Zhang , Xiucai Ye , Tetsuya Sakurai

RNA co-transcriptional folding has long been suspected to play an active role in helping proper native folding of ribozymes and structured regulatory motifs in mRNA untranslated regions. Yet, the underlying mechanisms and coding…

Biomolecules · Quantitative Biology 2007-05-23 A. Xayaphoummine , V. Viasnoff , S. Harlepp , H. Isambert

Functional or non-coding RNAs are attracting more attention as they are now potentially considered valuable resources in the development of new drugs intended to cure several human diseases. The identification of drugs targeting the…

Genomics · Quantitative Biology 2019-12-25 Muhammad Nabeel Asima , Muhammad Imran Malik , Andreas Dengela , Sheraz Ahmed

In many organisms the expression levels of each gene are controlled by the activation levels of known "Transcription Factors" (TF). A problem of considerable interest is that of estimating the "Transcription Regulation Networks" (TRN)…

Applications · Statistics 2010-11-09 Gareth M. James , Chiara Sabatti , Nengfeng Zhou , Ji Zhu

Non-coding RNAs are crucial regulators of gene expression in prokaryotes and eukaryotes, but it remains poorly understood how they affect the dynamics of transcriptional networks. We analyzed the temporal characteristics of the…

Molecular Networks · Quantitative Biology 2009-11-13 Stefan Legewie , Dennis Dienst , Annegret Wilde , Hanspeter Herzel , Ilka M. Axmann

Transfer RNAs (tRNAs) are essential components of the translational machinery. Their abundance and diversity shape decoding capacity and protein synthesis efficiency and accuracy. Because tRNA abundance is encoded in the genome through tDNA…

Populations and Evolution · Quantitative Biology 2026-04-30 Guillaume Hummel , David Pflieger , Valerie Cognat , Laurence Drouard , Alexandre Berr