keyword
MENU ▼
Read by QxMD icon Read
search

Gene regulatory network

keyword
https://www.readbyqxmd.com/read/28635594/translation-repression-via-modulation-of-the-cytoplasmic-poly-a-binding-protein-in-the-inflammatory-response
#1
Xu Zhang, Xiaoli Chen, Qiuying Liu, Shaojie Zhang, Wenqian Hu
Gene expression is precisely regulated during the inflammatory response to control infection and limit the detrimental effects of inflammation. Here, we profiled global mRNA translation dynamics in the mouse primary macrophage-mediated inflammatory response and identified hundreds of differentially translated mRNAs. These mRNAs' 3'UTRs have enriched binding motifs for several RNA-binding proteins, which implies extensive translational regulatory networks. We characterized one such protein, Zfp36, as a translation repressor...
June 21, 2017: ELife
https://www.readbyqxmd.com/read/28634230/similarity-in-gene-regulatory-networks-suggests-that-cancer-cells-share-characteristics-of-embryonic-neural-cells
#2
Zan Zhang, Anhua Lei, Liyang Xu, Lu Chen, Yonglong Chen, Xuena Zhang, Yan Gao, Xiaoli Yang, Min Zhang, Ying Cao
Cancer cells are immature cells resulting from cellular reprogramming by gene misregulation, and re-differentiation is expected to reduce malignancy. It is unclear, however, whether cancer cells can undergo terminal differentiation. Here, we show that, inhibition of the epigenetic modification enzymes enhancer of zeste homolog 2 (EZH2), histone deacetylases (HDACs) 1 and 3, lysine demethylase 1A (LSD1), or DNA methyltransferase 1 (DNMT1), which all promote cancer development and progression, leads to postmitotic neuron-like differentiation with loss of malignant features in distinct solid cancer cell lines...
June 20, 2017: Journal of Biological Chemistry
https://www.readbyqxmd.com/read/28633295/long-cold-exposure-induces-transcriptional-and-biochemical-remodelling-of-xylem-secondary-cell-wall-in-eucalyptus
#3
Raphael Ployet, Marçal Soler, Victor Carocha, Nathalie Ladouce, Ana Alves, José-Carlos Rodrigues, Luc Harvengt, Christiane Marque, Chantal Teulières, Jacqueline Grima-Pettenati, Fabien Mounet
Although eucalypts are the most planted hardwood trees worldwide, the majority of them are frost sensitive. The recent creation of frost-tolerant hybrids such as Eucalyptus gundal plants (E. gunnii × E. dalrympleana hybrids), now enables the development of industrial plantations in northern countries. Our objective was to evaluate the impact of cold on the wood structure and composition of these hybrids, and on the biosynthetic and regulatory processes controlling their secondary cell-wall (SCW) formation...
June 13, 2017: Tree Physiology
https://www.readbyqxmd.com/read/28630873/an-integrative-developmental-genomics-and-systems-biology-approach-to-identify-an-in-vivo-sox-trio-mediated-gene-regulatory-network-in-murine-embryos
#4
Wenqing Jean Lee, Sumantra Chatterjee, Sook Peng Yap, Siew Lan Lim, Xing Xing, Petra Kraus, Wenjie Sun, Xiaoming Hu, V Sivakamasundari, Hsiao Yun Chan, Prasanna R Kolatkar, Shyam Prabhakar, Thomas Lufkin
Embryogenesis is an intricate process involving multiple genes and pathways. Some of the key transcription factors controlling specific cell types are the Sox trio, namely, Sox5, Sox6, and Sox9, which play crucial roles in organogenesis working in a concerted manner. Much however still needs to be learned about their combinatorial roles during this process. A developmental genomics and systems biology approach offers to complement the reductionist methodology of current developmental biology and provide a more comprehensive and integrated view of the interrelationships of complex regulatory networks that occur during organogenesis...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28630499/spatio-temporal-analysis-of-coding-and-long-noncoding-transcripts-during-maize-endosperm-development
#5
Eun-Deok Kim, Yuqing Xiong, Youngjae Pyo, Dong-Hwan Kim, Byung-Ho Kang, Sibum Sung
The maize endosperm consists of three major compartmentalized cell types: the starchy endosperm (SE), the basal endosperm transfer cell layer (BETL), and the aleurone cell layer (AL). Differential genetic programs are activated in each cell type to construct functionally and structurally distinct cells. To compare gene expression patterns involved in maize endosperm cell differentiation, we isolated transcripts from cryo-dissected endosperm specimens enriched with BETL, AL, or SE at 8, 12, and 16 days after pollination (DAP)...
June 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28629792/alternative-splicing-and-start-sites-lessons-from-the-grainyhead-like-family
#6
REVIEW
Lee B Miles, Sebastian Dworkin, Charbel Darido
The two main mechanisms that expand the proteomic output of eukaryotic genes are alternative splicing and alternative translation initiation signals. Despite being essential to generate isoforms of gene products that create functional diversity during development, the impact of these mechanisms on fine-tuning regulatory gene networks is still underappreciated. In this review, we use the Grainyhead-like (Grhl) family as a case study to illustrate the importance of isoforms when investigating transcription factor family function during development and disease, and highlight the potential for differential modulation of downstream target genes...
June 16, 2017: Developmental Biology
https://www.readbyqxmd.com/read/28629776/unveiling-the-non-repair-face-of-the-base-excision-repair-pathway-in-rna-processing-a-missing-link-between-dna-repair-and-gene-expression
#7
REVIEW
Giulia Antoniali, Matilde Clarissa Malfatti, Gianluca Tell
The Base Excision Repair (BER) pathway, initially studied as a mere DNA repair pathway, has been later found to be implicated in the expression of cancer related genes in human. For several years, this intricate involvement in apparently different processes represented a mystery, which we now are starting to unveil. The BER handles simple alkylation and oxidative lesions arising from both endogenous and exogenous sources, including cancer therapy agents. Surprisingly, BER pathway involvement in transcriptional regulation, immunoglobulin variability and switch recombination, RNA metabolism and nucleolar function is astonishingly consolidating...
June 9, 2017: DNA Repair
https://www.readbyqxmd.com/read/28629365/evaluation-and-improvement-of-the-regulatory-inference-for-large-co-expression-networks-with-limited-sample-size
#8
Wenbin Guo, Cristiane P G Calixto, Nikoleta Tzioutziou, Ping Lin, Robbie Waugh, John W S Brown, Runxuan Zhang
BACKGROUND: Co-expression has been widely used to identify novel regulatory relationships using high throughput measurements, such as microarray and RNA-seq data. Evaluation studies on co-expression network analysis methods mostly focus on networks of small or medium size of up to a few hundred nodes. For large networks, simulated expression data usually consist of hundreds or thousands of profiles with different perturbations or knock-outs, which is uncommon in real experiments due to their cost and the amount of work required...
June 19, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28628618/solving-the-influence-maximization-problem-reveals-regulatory-organization-of-the-yeast-cell-cycle
#9
David L Gibbs, Ilya Shmulevich
The Influence Maximization Problem (IMP) aims to discover the set of nodes with the greatest influence on network dynamics. The problem has previously been applied in epidemiology and social network analysis. Here, we demonstrate the application to cell cycle regulatory network analysis for Saccharomyces cerevisiae. Fundamentally, gene regulation is linked to the flow of information. Therefore, our implementation of the IMP was framed as an information theoretic problem using network diffusion. Utilizing more than 28,000 regulatory edges from YeastMine, gene expression dynamics were encoded as edge weights using time lagged transfer entropy, a method for quantifying information transfer between variables...
June 19, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28625476/feedback-loops-interlocked-at-competitive-binding-sites-amplify-and-facilitate-genetic-oscillations
#10
Koichiro Uriu, Hajime Tei
Positive and negative feedback loops are often present in regulatory networks for genetic oscillations. Relative time scales and integration of these feedback loops are key to robust oscillations in expression levels. Using examples from the circadian clock and synthetic genetic oscillators, we study positive and negative feedback loops interlocked at competitive binding sites. In the mammalian circadian clock, a key clock gene Bmal1 is regulated by the activator ROR and the repressor REV-ERB. Conversely, Bmal1 activates both of them, forming interlocked feedback loops...
June 15, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28623929/the-potential-regulatory-mechanisms-of-the-gonadotropin-releasing-hormone-in-gonadotropin-transcriptions-identified-with-bioinformatics-analyses
#11
Wei Xiang, Baoyun Zhang, Fenglin Lv, Guangde Feng, Long Chen, Fang Yang, Ke Zhang, Chunyu Cao, Pingqing Wang, Mingxing Chu
BACKGROUND: The regulation of gonadotropin synthesis and release by gonadotropin-releasing hormone (GnRH) plays an essential role in the neuroendocrine control of reproduction. However, the mechanisms underlying gonadotropin regulation by GnRH pulse frequency and amplitude are still ambiguous. This study aimed to explore the molecular mechanisms and biological pathways associated with gonadotropin synthesis by GnRH pulse frequencies and amplitudes. METHODS: Using GSE63251 datasets downloaded from the Gene Expression Omnibus (GEO), differentially expressed genes (DEGs) were screened by comparing the RNA expression from the GnRH pulse group, the GnRH tonic group and the control group...
June 17, 2017: Reproductive Biology and Endocrinology: RB&E
https://www.readbyqxmd.com/read/28623595/inferring-gene-regulatory-networks-in-the-arabidopsis-root-using-a-dynamic-bayesian-network-approach
#12
Maria Angels de Luis Balaguer, Rosangela Sozzani
Gene regulatory network (GRN) models have been shown to predict and represent interactions among sets of genes. Here, we first show the basic steps to implement a simple but computationally efficient algorithm to infer GRNs based on dynamic Bayesian networks (DBNs), and we then explain how to approximate DBN-based GRN models with continuous models. In addition, we show a MATLAB implementation of the key steps of this method, which we use to infer an Arabidopsis root GRN.
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623594/ode-based-modeling-of-complex-regulatory-circuits
#13
Daniel D Seaton
Transcriptional regulatory circuits are often complex, consisting of many components and regulatory interactions. Mathematical modeling is an important tool for understanding the behavior of these circuits, and identifying gaps in our understanding of gene regulation. Ordinary differential equations (ODEs) are a commonly used formalism for constructing mathematical models of complex regulatory networks. Here, I outline the steps involved in developing, parameterizing, and testing an ODE model of a gene regulatory network...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623593/boolean-dynamic-modeling-approaches-to-study-plant-gene-regulatory-networks-integration-validation-and-prediction
#14
José Dávila Velderraín, Juan Carlos Martínez-García, Elena R Álvarez-Buylla
Mathematical models based on dynamical systems theory are well-suited tools for the integration of available molecular experimental data into coherent frameworks in order to propose hypotheses about the cooperative regulatory mechanisms driving developmental processes. Computational analysis of the proposed models using well-established methods enables testing the hypotheses by contrasting predictions with observations. Within such framework, Boolean gene regulatory network dynamical models have been extensively used in modeling plant development...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623592/computational-approaches-to-study-gene-regulatory-networks
#15
Nooshin Omranian, Zoran Nikoloski
The goal of the gene regulatory network (GRN) inference is to determine the interactions between genes given heterogeneous data capturing spatiotemporal gene expression. Since transcription underlines all cellular processes, the inference of GRN is the first step in deciphering the determinants of the dynamics of biological systems. Here, we first describe the generic steps of the inference approaches that rely on similarity measures and group the similarity measures based on the computational methodology used...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623591/predicting-transcription-factor-binding-sites-and-their-cognate-transcription-factors-using-gene-expression-data
#16
Chun-Ping Yu, Wen-Hsiung Li
A transcription factor (TF) is a DNA binding protein that targets specific binding-sites (TFBSs) to regulate the transcript levels of its downstream genes. Thus, identifying the TF-TFBS pairs is a pivotal step in understanding the function of TFs and the regulatory network in an organism. Here, we describe two methods for predicting the TFBS of a given TF and for predicting the cognate TF of a given TFBS from a set of strongly co-expressed genes, using time-course transcriptome data of maize developing leaves...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623590/integration-of-genome-wide-tf-binding-and-gene-expression-data-to-characterize-gene-regulatory-networks-in-plant-development
#17
Dijun Chen, Kerstin Kaufmann
Key transcription factors (TFs) controlling the morphogenesis of flowers and leaves have been identified in the model plant Arabidopsis thaliana. Recent genome-wide approaches based on chromatin immunoprecipitation (ChIP) followed by high-throughput DNA sequencing (ChIP-seq) enable systematic identification of genome-wide TF binding sites (TFBSs) of these regulators. Here, we describe a computational pipeline for analyzing ChIP-seq data to identify TFBSs and to characterize gene regulatory networks (GRNs) with applications to the regulatory studies of flower development...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623588/design-of-knowledge-bases-for-plant-gene-regulatory-networks
#18
Eric Mukundi, Fabio Gomez-Cano, Wilberforce Zachary Ouma, Erich Grotewold
Developing a knowledge base that contains all the information necessary for the researcher studying gene regulation in a particular organism can be accomplished in four stages. This begins with defining the data scope. We describe here the necessary information and resources, and outline the methods for obtaining data. The second stage consists of designing the schema, which involves defining the entire arrangement of the database in a systematic plan. The third stage is the implementation, defined by actualization of the database by using software according to a predefined schema...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623587/generation-of-dtales-and-libraries-of-synthetic-tale-activated-promoters-for-engineering-of-gene-regulatory-networks-in-plants
#19
Tom Schreiber, Alain Tissier
Transcription factors with programmable DNA-binding specificity constitute valuable tools for the design of orthogonal gene regulatory networks for synthetic biology. Transcription activator-like effectors (TALEs), as natural transcription regulators, were used to design, build, and test libraries of synthetic TALE-activated promoters (STAPs) that show a broad range of expression levels in plants. In this chapter, we present protocols for the construction of artificial TALEs and corresponding STAPs.
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623586/multiplexed-transcriptional-activation-or-repression-in-plants-using-crispr-dcas9-based-systems
#20
Levi G Lowder, Joseph W Paul, Yiping Qi
Novel tools and methods for regulating in vivo plant gene expression are quickly gaining popularity and utility due to recent advances in CRISPR-dCas9 chimeric effector regulators, otherwise known as CRISPR artificial transcription factors (CRISPR-ATFs). These tools are especially useful for studying gene function and interaction within various regulatory networks. First generation CRISPR-ATFs are nuclease-deactivated (dCas9) CRISPR systems where dCas9 proteins are fused to known transcriptional activator domains (VP64) or repressor domains (SRDX)...
2017: Methods in Molecular Biology
keyword
keyword
48272
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"