Small Drosophila zinc finger C2H2 protein with an N-terminal zinc finger-associated domain demonstrates the architecture functions Publication date: January 2020 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Volume 1863, Issue 1 Author(s): Oksana Maksimenko, Olga Kyrchanova, Natalia Klimenko, Nikolay Zolotarev, Anna Elizarova, Artem Bonchuk, Pavel Georgiev Abstract Recently, the concept has arisen that a special class of architectural proteins exists, which are responsible not only for global chromosome architecture but also for the local regulation of enhancer–promoter interactions. Here, we describe a new architectural protein, with a total size of only 375 aa, which contains an N-terminal zinc finger-associated domain (ZAD) and a cluster of five zinc finger C2H2 domains at the C-terminus. This new protein, named ZAD and Architectural Function 1 protein (ZAF1 protein), is weakly and ubiquitously expressed, with the highest expression levels observed in oocytes and embryos. The cluster of C2H2 domains recognizes a specific 15-bp consensus site, located predominantly in promoters, near transcription start sites. The expression of ZAF1 by a tissue-specific promoter led to the complete blocking of the eye enhancer when clusters of ZAF1 binding sites flanked the eye enhancer in transgenic lines, suggesting that the loop formed by the ZAF1 protein leads to insulation. The ZAF1 protein also supported long-range interactions between the yeast GAL4 activator and the white promoter in transgenic Drosophila lines. A mutant protein lacking the ZAD failed to block the eye enhancer or to support distance interactions in transgenic lines. Taken together, these results suggest that ZAF1 is a minimal architectural protein that can be used to create a convenient model for studying the mechanisms of distance interactions.

Data generation and network reconstruction strategies for single cell transcriptomic profiles of CRISPR-mediated gene perturbations Publication date: Available online 20 November 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Andrew N Holding, Helen V Cook, Florian Markowetz Abstract Recent advances in single-cell RNA-sequencing (scRNA-seq) in combination with CRISPR/Cas9 technologies have enabled the development of methods for large-scale perturbation studies with transcriptional readouts. These methods are highly scalable and have the potential to provide a wealth of information on the biological networks that underlie cellular response. Here we discuss how to overcome several key challenges to generate and analyse data for the confident reconstruction of models of the underlying cellular network. Some challenges are generic, and apply to analyzing any single-cell transcriptomic data, while others are specific to combined single-cell CRISPR/Cas9 data, in particular barcode swapping, knockdown efficiency, multiplicity of infection and potential confounding factors. We also provide a curated collection of published data sets to aid the development of analysis strategies. Finally, we discuss several network reconstruction approaches, including co-expression networks and Bayesian networks, as well as their limitations, and highlight the potential of Nested Effects Models for network reconstruction from scRNA-seq data. This article is part of a Special Issue entitled: Transcriptional Profiles and Regulatory Gene Networks edited by Dr. Dr. Federico Manuel Giorgi and Dr. Shaun Mahony.

Regulation of mTOR signaling by long non-coding RNA Publication date: Available online 18 November 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Karam Aboudehen Abstract The mechanistic target of rapamycin (mTOR) is a major signaling hub that coordinates cellular and organismal responses, such as cell growth, proliferation, apoptosis, and metabolism. Dysregulation of mTOR signaling occurs in many human diseases, and there are significant ongoing efforts to pharmacologically target this pathway. Long noncoding RNAs (lncRNA), defined by a length > 200 nucleotides and absence of a long open-reading-frame, are a class of non-protein-coding RNAs. Mutations and dysregulations of lncRNAs are directly linked to the development and progression of many diseases, including cancer, diabetes, and neurologic disorders. Recent findings reveal diverse functions for lncRNA that include transcriptional regulation, organization of nuclear domains, and regulation of proteins or RNA molecules. Despite considerable development in our understanding of lncRNA over the past decade, only a fraction of annotated lncRNAs has been examined for biological function. In addition, lncRNAs have emerged as therapeutic targets due to their ability to modulate multiple pathways, including mTOR signaling. This review will provide an up-to-date summary of lncRNAs that are involved in regulating mTOR pathway.

RNA structure and splicing regulation Publication date: Available online 12 November 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Francisco E. Baralle, Ravindra N. Singh, Stefan Stamm

Alternatively spliced MBNL1 isoforms exhibit differential influence on enhancing brown adipogenesis Publication date: Available online 12 November 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Ching-Sheng Hung, Jung-Chun Lin Abstract Browning of white adipocytes (WAs) (also referred as beige cells) was demonstrated to execute thermogenesis by consuming stored lipids as do brown adipocytes (BAs), and this is highly related to metabolic homeostasis. Alternative splicing (AS) constitutes a pivotal mechanism for defining cellular fates and functional specifications. Nevertheless, the impacts of AS regulation on the browning of WAs have not been comprehensively investigated. In this study, we first identified the discriminative expression and splicing profiles of the muscleblind-like 1 (MBNL1) gene in postnatal brown adipose tissues (BATs) compared to those of embryonic BATs. A shift in the MBNL1+ex 5 isoform 7 (MBNL17) to MBNL1−ex 5 isoform 1 (MBNL11) was characterized throughout BAT development or during the in vitro browning of pre-WAs, 3T3-L1 cells. The interplay between MBNL1 and the exonic CCUG motif constitutes an autoregulatory mechanism for excluding MBNL1 exon 5. The simultaneous association of RNA-binding motif protein 4a (RBM4a) with exonic and intronic CU elements collaboratively mediates the skipping of MBNL1 exon 5. Overexpressing the MBNL11 isoform exhibited a more-prominent effect than that of the MBNL17 isoform on programming its own transcripts and beige cell-related splicing events in a CCUG motif-mediated manner. In addition to splicing regulation, overexpression of the MBNL11 and MBNL17 isoforms differentially enhanced beige adipogenic signatures of 3T3-L1 cells. Our findings demonstrated that MBNL1 constitutes an emerging and autoregulatory mechanism involved in development of beige cells.

Structures of SF3b1 reveal a dynamic Achilles heel of spliceosome assembly: Implications for cancer-associated abnormalities and drug discovery Publication date: Available online 9 November 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Debanjana Maji, Alan Grossfield, Clara L. Kielkopf Abstract The pre-mRNA splicing factor SF3b1 exhibits recurrent mutations among hematologic malignancies and cancers, and consequently is a major therapeutic target of clinically-advanced spliceosome inhibitors. In this review, we highlight and rigorously analyze emerging views of SF3b1 conformational transitions, including the human SF3b particle either in isolation or bound to spliceosome inhibitors, and human or yeast spliceosome assemblies. Among spliceosome states characterized to date, an SF3b1 α-helical superhelix significantly closes to surround a U2 small nuclear RNA duplex with the pre-mRNA branch point sequence. The SF3b1 torus is locally unwound at an active site adenosine, whereas protein cofactors appear to stabilize overall closure in the spliceosome. Network analyses demonstrates that the natural SF3b1 dynamics mimic its conformational change in the spliceosome, raising the possibility of conformational selection underpinning spliceosome assembly. These dynamic SF3b1 conformations have consequences for gatekeeping of spliceosome assembly and therapeutic targeting of its cancer-associated dysfunction.

Splicing in the pathogenesis, diagnosis and treatment of ciliopathies Publication date: Available online 4 November 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Gabrielle Wheway, Jenny Lord, Diana Baralle Abstract Primary cilia are essential signalling organelles found on the apical surface of epithelial cells, where they coordinate chemosensation, mechanosensation and light sensation. Motile cilia play a central role in establishing fluid flow in the respiratory tract, reproductive tract, brain ventricles and ear. Genetic defects affecting the structure or function of cilia can lead to a broad range of developmental and degenerative diseases known as ciliopathies. Splicing contributes to the pathogenesis, diagnosis and treatment of ciliopathies. Tissue-specific alternative splicing contributes to the tissue-specific manifestation of ciliopathy phenotypes, for example the retinal-specific effects of some genetic defects, due to specific transcript expression in the highly specialised ciliated cells of the retina, the photoreceptor cells. Ciliopathies can arise both as a result of genetic variants in spliceosomal proteins, or as a result of variants affecting splicing of specific cilia genes. Here we discuss the opportunities and challenges in diagnosing ciliopathies using RNA sequence analysis and the potential for treating ciliopathies in a relatively mutation-neutral way by targeting splicing. This article is part of a Special Issue entitled: RNA structure and splicing regulation edited by Francisco Baralle, Ravindra Singh and Stefan Stamm.

Intronic RNA: Ad‘junk’ mediator of post-transcriptional gene regulation Publication date: Available online 1 November 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Christopher R. Neil, William G. Fairbrother Abstract RNA splicing, the process through which intervening segments of noncoding RNA (introns) are excised from pre-mRNAs to allow for the formation of a mature mRNA product, has long been appreciated for its capacity to add complexity to eukaryotic proteomes. However, evidence suggests that the utility of this process extends beyond protein output and provides cells with a dynamic tool for gene regulation. In this review, we aim to highlight the role that intronic RNA plays in mediating specific splicing outcomes in pre-mRNA processing, as well as explore an emerging class of stable intronic sequences that have been observed to act in gene expression control. Building from underlying flexibility in both sequence and structure, intronic RNA provides mechanisms for post-transcriptional gene regulation that are amenable to the tissue and condition specific needs of eukaryotic cells. This article is part of a Special Issue entitled: RNA structure and splicing regulation edited by Francisco Baralle, Ravindra Singh and Stefan Stamm.

Inference of plant gene regulatory networks using data-driven methods: A practical overview Publication date: Available online 31 October 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): Shubhada R. Kulkarni, Klaas Vandepoele Abstract Transcriptional regulation is a complex and dynamic process that plays a vital role in plant growth and development. A key component in the regulation of genes is transcription factors (TFs), which coordinate the transcriptional control of gene activity. A gene regulatory network (GRN) is a collection of regulatory interactions between TFs and their target genes. The accurate delineation of GRNs offers a significant contribution to our understanding about how plant cells are organized and function, and how individual genes are regulated in various conditions, organs or cell types. During the past decade, important progress has been made in the identification of GRNs using experimental and computational approaches. However, a detailed overview of available platforms supporting the analysis of GRNs in plants is missing. Here, we review current databases, platforms and tools that perform data-driven analyses of gene regulation in Arabidopsis. The platforms are categorized into two sections, 1) promoter motif analysis tools that use motif mapping approaches to find TF motifs in the regulatory sequences of genes of interest and 2) network analysis tools that identify potential regulators for a set of input genes using a range of data types in order to generate GRNs. We discuss the diverse datasets integrated and highlight the strengths and caveats of different platforms. Finally, we shed light on the limitations of the above approaches and discuss future perspectives, including the need for integrative approaches to unravel complex GRNs in plants.

Gene regulatory network inference resources: A practical overview Publication date: Available online 31 October 2019 Source: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Author(s): D. Mercatelli, L. Scalambra, L. Triboli, F. Ray, F.M. Giorgi Abstract Transcriptional regulation is a fundamental molecular mechanism involved in almost every aspect of life, from homeostasis to development, from metabolism to behavior, from reaction to stimuli to disease progression. In recent years, the concept of Gene Regulatory Networks (GRNs) has grown popular as an effective applied biology approach for describing the complex and highly dynamic set of transcriptional interactions, due to its easy-to-interpret features. Since cataloguing, predicting and understanding every GRN connection in all species and cellular contexts remains a great challenge for biology, researchers have developed numerous tools and methods to infer regulatory processes. In this review, we catalogue these methods in six major areas, based on the dominant underlying information leveraged to infer GRNs: Coexpression, Sequence Motifs, Chromatin Immunoprecipitation (ChIP), Orthology, Literature and Protein-Protein Interaction (PPI) specifically focused on transcriptional complexes. The methods described here cover a wide range of user-friendliness: from web tools that require no prior computational expertise to command line programs and algorithms for large scale GRN inferences. Each method for GRN inference described herein effectively illustrates a type of transcriptional relationship, with many methods being complementary to others. While a truly holistic approach for inferring and displaying GRNs remains one of the greatest challenges in the field of systems biology, we believe that the integration of multiple methods described herein provides an effective means with which experimental and computational biologists alike may obtain the most complete pictures of transcriptional relationships. This article is part of a Special Issue entitled: Transcriptional Profiles and Regulatory Gene Networks edited by Dr. Dr. Federico Manuel Giorgi and Dr. Shaun Mahony.