1,720,957 research outputs found
Macroscopic differences in HMGA oncoproteins post-translational modifications:C-terminal phosphorylation of HMGA2 affects its DNA binding properties.
No full textWe have performed an LC/MS screening on several different cell lines to investigate HMGA proteins expression and their posttranslational modifications in order to detect distinctive modification patterns for each. Our analyses evidenced relevant macroscopic differences in the phosphorylation and methylation patterns of these proteins. These differences occur both within the HMGA family members and in the different cell types. Focusing on HMGA2, we have mapped its in vivo phosphorylation sites demonstrating that, similarly to the HMGA1 proteins, it is highly phosphorylated on the acidic C-terminal tail and that these modifications affect its DNA binding properties
HMGA molecular network: From transcriptional regulation tochromatin remodeling
No full textIn the post-genomic era, and with the advent of proteomic tools for the identification of protein-protein interactions, the number of HMGA molecular partners has increased rapidly. This has led to the extension of our knowledge of the functional involvement of HMGA from the transcriptional regulation field to RNA processing, DNA repair, and chromatin remodeling and dynamics. This review focuses mainly on the protein-protein interaction network of HMGA and its functional outcome. HMGA molecular partners have been functionally classified and all the information collected in a freely available database (http://www.bbcm.units.it/∼manfiol/INDEX.HTM)
Interaction proteomics of the HMGA chromatin architectural factors
No full textHere, we report the development of a novel in vitro strategy for the identification of HMGA molecular partners based on the combination of an RP-HPLC prefractionation procedure, 2-DE gels, blot-overlay and MS. To demonstrate that our approach could be a reliable screening method we confirmed a representative number of interactions in vitro by GST pull-down and far-Western and in vivo by co-affinity purification. This approach allowed us to enlarge the HMGA molecular network confirming their involvement also in non-transcriptional-related processes such as RNA processing and DNA repair
modificazioni post-traduzionali delle proteine HMGA nella trasformazione neoplastica
No full text2008/2009Le proteine HMG (High Mobility Group) sono la famiglia più ampiamente e meglio caratterizata fra le proteine cromosomiche non istoniche. Esse sono raggruppate in tre sottofamiglie: HMGA, HMGB ed HMGN. Ciascuna sottofamiglia è caraterizzata da una sequenza o motivo funzionale attraverso il quale sono capaci di legarsi a specifiche strutture sul DNA o sulla cromatina.
La famiglia HMGA di mammifero consiste di due geni funzionali: HMGA1 and HMGA2. Lo splicing alternativo del trascritto del gene HMGA1 dà origine alle proteine HMGA1a ed HMGA1b. La proteina HMGA2 è codificata dall’altro gene.
Le proteine HMGA partecipano a specifiche interazioni proteina-DNA e proteina-proteina inducendo sia cambiamenti strutturali della cromatina che la formazione di complessi macromolecolari su regioni promotrici//enhancer di diversi geni. Pertanto esse sono descritte come fattori archietturali della trascrizione. Grazie alla loro multifunzionalità, ese partecipano a diversi processi biologici quali l’integrazione virale, l’embriogenesi e la differenziazione, l’apoptosi, la senescenza, la trasformazione neoplastica ed il riparo del DNA.
La caratteristica di proteine oncofetali attribuita alle HMGA prende origine dal fatto che esse sono (i) altamente espresse durante l’embriogenesi, (ii) assenti o espresse a bassi livelli nei tessuti adulti e (iii) altamente riespresse nelle cellule trasformate.
Queste proteine sono, tra le proteine nucleari, quelle più soggette a modificazioni post-traduzionali e le loro attività sono modulate da una ampia varietà di modificazioni post-traduzionali.
In questo lavoro di tesi, grazie all’uso di linee cellulari di cancro mammario in cui è stata indotta la reversione del fenotipo neoplastico tramite trattamento farmacologico e successive analisi di spettrometria di massa, si è ricercata una connessione tra le modificazioni post-traduzionali delle HMGA ed il processo di trasformazione neoplastica.
Inoltre, grazie ad una nuova strategia in vitro sviluppata nel nostro laboratorio per l’identificazione di partner molecolari delle proteine HMGA, si è dimostrato che la proteina HMGA1a si associa con la proteina Ku70, che è un fattore chiave coinvolto nel riparo delle rotture al doppio filamento di DNA attraverso il “non-homologous end joining”. Numerose evidenze sperimentali suggeriscono che l’inibizione del riparo del DNA da parte delle HMGA posa contribuire alle instabilità genetiche e cromosomiche comunemente ritrovate nelle celle cancerose. Perciò, si è ricercata una relazione funzionale tra le proteine HMGA e le proteine chiave nel meccanismo di riparo del DNA attraverso “non-homologous end joining”, focalizzando l’attenzione in particolare sulla proteina DNA-PK (DNA-dependent protein kinase), che ha una funzione regolatrice chiave in questo processo.XXII Ciclo197
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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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