1,720,973 research outputs found
What's Wrong in a Jump? Prediction and Validation of Splice Site Variants
Full text linkAlternative splicing (AS) is a crucial process to enhance gene expression driving organ-ism development. Interestingly, more than 95% of human genes undergo AS, producing multiple protein isoforms from the same transcript. Any alteration (e.g., nucleotide substitutions, insertions, and deletions) involving consensus splicing regulatory sequences in a specific gene may result in the production of aberrant and not properly working proteins. In this review, we introduce the key steps of splicing mechanism and describe all different types of genomic variants affecting this process (splicing variants in acceptor/donor sites or branch point or polypyrimidine tract, exonic, and deep intronic changes). Then, we provide an updated approach to improve splice variants detection. First, we review the main computational tools, including the recent Machine Learn-ing-based algorithms, for the prediction of splice site variants, in order to characterize how a genomic variant interferes with splicing process. Next, we report the experimental methods to vali-date the predictive analyses are defined, distinguishing between methods testing RNA (tran-scriptomics analysis) or proteins (proteomics experiments). For both prediction and validation steps, benefits and weaknesses of each tool/procedure are accurately reported, as well as sugges-tions on which approaches are more suitable in diagnostic rather than in clinical research. © 2021 by the author. Licensee MDPI, Basel, Switzerland
Molecular genetic analysis of cerebral cavernous malformations: An update
Full text linkCerebral cavernous malformations (CCM) can occur either as sporadic or familial form with autosomal dominant inheritance. Three CCM genes have been identified: CCM1 (KRIT1), CCM2 (MGC4607), and CCM3 (PDCD10). In this review, we provide an overall update on genetics of cerebral cavernous malformations. We discuss the main features of these three genes and provide an updated listing of the mutations identified so far. Most of them lead to a premature stop codon regardless of the nature of the variation, including nonsense mutations, small deletions/insertions, and intronic/exonic substitutions causing an altered splicing and a frame-shift. In addition, deletions or duplications of one or more exons of CCM genes can be responsible for the disease. We examine the use of different mutation screening methods to identify all these mutations, providing a comprehensive approach to CCM genetic diagnosis. We also report the main strategies to evaluate the actual impact of the mutations on the protein function. Moreover, we recapitulate the available data on penetrance, phenotype-genotype correlations, and founder effect. Finally, we discuss the main aspects of genetic counseling, including genetic risk assessment in family members, in sporadic patients with multiple CCMs, and in the case of de novo mutations
Molecular genetic features of cerebral cavernous malformations (CCM) patients: An overall view from genes to endothelial cells
Full text linkCerebral cavernous malformations (CCMs) are vascular lesions that affect predominantly microvasculature in the brain and spinal cord. CCM can occur either in sporadic or familial form, characterized by autosomal dominant inheritance and development of multiple lesions throughout the patient’s life. Three genes associated with CCM are known: CCM1/KRIT1 (krev interaction trapped 1), CCM2/MGC4607 (encoding a protein named malcavernin), and CCM3/PDCD10 (pro-grammed cell death 10). All the mutations identified in these genes cause a loss of function and compromise the protein functions needed for maintaining the vascular barrier integrity. Loss of function of CCM proteins causes molecular disorganization and dysfunction of endothelial ad-herens junctions. In this review, we provide an overall vision of the CCM pathology, starting with the genetic bases of the disease, describing the role of the proteins, until we reach the cellular level. Thus, we summarize the genetics of CCM, providing a description of CCM genes and mutation features, provided an updated knowledge of the CCM protein structure and function, and discuss the molecular mechanisms through which CCM proteins may act within endothelial cells, partic-ularly in endothelial barrier maintenance/regulation and in cellular signaling
miRNA Targets: From Prediction Tools to Experimental Validation
Full text linkMicroRNAs (miRNAs) are post-transcriptional regulators of gene expression in both animals and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs play gene-regulatory roles, producing remarkable changes in several physiological and pathological processes. Thus, the identification of miRNA-mRNA target interactions is fundamental for discovering the regulatory network governed by miRNAs. The best way to achieve this goal is usually by computational prediction followed by experimental validation of these miRNA-mRNA interactions. This review summarizes the key strategies for miRNA target identification. Several tools for computational analysis exist, each with different approaches to predict miRNA targets, and their number is constantly increasing. The major algorithms available for this aim, including Machine Learning methods, are discussed, to provide practical tips for familiarizing with their assumptions and understanding how to interpret the results. Then, all the experimental procedures for verifying the authenticity of the identified miRNA-mRNA target pairs are described, including High-Throughput technologies, in order to find the best approach for miRNA validation. For each strategy, strengths and weaknesses are discussed, to enable users to evaluate and select the right approach for their interests. © 2020 by the authors
KRIT1 Gene in Patients with Cerebral Cavernous Malformations: Clinical Features and Molecular Characterization of Novel Variants
Full text linkCerebral cavernous malformations (CCMs) are vascular malformations that may result in headaches, seizures, focal neurological deficits, and hemorrhage. CCMs occur sporadically (80%) or in familial form (20%), with autosomal dominant inheritance. Among the three CCM-related genes, mutations in KRIT1 account for 53–65% of familial cases and more than 100 different mutations have been identified so far. In the present work, we describe the clinical, neuroradiological, and genetic findings of sixteen CCM Italian patients, 13 belonging to 4 unrelated families and 3 sporadic cases. Six distinct KRIT1 gene variants, two novel (c.1730+1_1730+3del, c.1664 C>T) and four previously described (c.966G>A, c.1255-1G>A c.1197_1200del, c.1255-1_1256del), were identified, including a possible de novo mutation. All the variants resulted in a premature stop codon. Cerebral 1.5 T magnetic resonance imaging showed multiple CCMs in all the mutation carriers for whom it was available, including sporadic cases. One patient had also cutaneous angiomas. Among the mutation carriers, symptomatic patients constituted 66% and a variable phenotypic expression was observed. Our data confirms phenotypic variability and incomplete penetrance of neurological symptoms in KRIT1-positive families, expands the mutational spectrum of this gene, and highlights how sporadic cases with multiple lesions need an approach similar to individuals with familial CCM
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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