Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Anna Tramontano is active.

Publication


Featured researches published by Anna Tramontano.


Cell | 2011

A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNA

Marcella Cesana; Davide Cacchiarelli; Ivano Legnini; Tiziana Santini; Olga Sthandier; Mauro Chinappi; Anna Tramontano; Irene Bozzoni

Summary Recently, a new regulatory circuitry has been identified in which RNAs can crosstalk with each other by competing for shared microRNAs. Such competing endogenous RNAs (ceRNAs) regulate the distribution of miRNA molecules on their targets and thereby impose an additional level of post-transcriptional regulation. Here we identify a muscle-specific long noncoding RNA, linc-MD1, which governs the time of muscle differentiation by acting as a ceRNA in mouse and human myoblasts. Downregulation or overexpression of linc-MD1 correlate with retardation or anticipation of the muscle differentiation program, respectively. We show that linc-MD1 “sponges” miR-133 and miR-135 to regulate the expression of MAML1 and MEF2C, transcription factors that activate muscle-specific gene expression. Finally, we demonstrate that linc-MD1 exerts the same control over differentiation timing in human myoblasts, and that its levels are strongly reduced in Duchenne muscle cells. We conclude that the ceRNA network plays an important role in muscle differentiation.


Proteins | 1997

Critical assessment of methods of protein structure prediction (CASP)—Round 6

John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Torsten Schwede; Anna Tramontano

This article is an introduction to the special issue of the journal PROTEINS, dedicated to the ninth Critical Assessment of Structure Prediction (CASP) experiment to assess the state of the art in protein structure modeling. The article describes the conduct of the experiment, the categories of prediction included, and outlines the evaluation and assessment procedures. Methods for modeling protein structure continue to advance, although at a more modest pace than in the early CASP experiments. CASP developments of note are indications of improvement in model accuracy for some classes of target, an improved ability to choose the most accurate of a set of generated models, and evidence of improvement in accuracy for short “new fold” models. In addition, a new analysis of regions of models not derivable from the most obvious template structure has revealed better performance than expected. Proteins 2011;


Proteins | 2007

Critical assessment of methods of protein structure prediction—Round VII

John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Burkhard Rost; Tim Hubbard; Anna Tramontano

This paper is an introduction to the supplemental issue of the journal PROTEINS, dedicated to the seventh CASP experiment to assess the state of the art in protein structure prediction. The paper describes the conduct of the experiment, the categories of prediction included, and outlines the evaluation and assessment procedures. Highlights are improvements in model accuracy relative to that obtainable from knowledge of a single best template structure; convergence of the accuracy of models produced by automatic servers toward that produced by human modeling teams; the emergence of methods for predicting the quality of models; and rapidly increasing practical applications of the methods. Proteins 2007.


Gene | 1993

Mimicking of discontinuous epitopes by phage-displayed peptides. I: Epitope mapping of human H ferritin using a phage library of constrained peptides

Alessandra Luzzago; Franco Felici; Anna Tramontano; Antonello Pessi; Riccardo Cortese

We have constructed a random nonapeptide library in the N-terminal region of the major coat protein VIII of bacteriophage f1, with two cysteines flanking the insert, and preliminary data suggest that many of the clones display at least some of their peptides in cyclized form. This library was used to select oligopeptides binding to the monoclonal antibody (mAb) H107, recognising the assembled native conformation of recombinant human H-subunit ferritin (H Fer), whose three-dimensional structure is known. Comparison of the selected oligopeptides with one another allowed us to derive two consensus sequences characterized by conserved amino acid (aa) residues. Analysis of the distribution of the aa side chains exposed on the surface of H Fer reveals that most of the aa defining both consensus sequences are present either at the end of the big loop or at the end of the A helix. These two regions of the H Fer, though separated in the linear sequence, are very close in the folded molecule. Interestingly, each consensus sequence derived from the selected phage-displayed peptides is characterized by aa present both at the end of the big loop and at the end of the A helix. These two H Fer regions are good candidates for mimicry by the selected peptides and therefore for constituting part of the H107 epitope. To provide support to this hypothesis, we constructed several H Fer mutants carrying point mutations in different positions of these two regions.(ABSTRACT TRUNCATED AT 250 WORDS)


Journal of Molecular Biology | 1990

Framework residue 71 is a major determinant of the position and conformation of the second hypervariable region in the VH domains of immunoglobulins

Anna Tramontano; Cyrus Chothia; Arthur M. Lesk

Analysis of the immunoglobulins of known structure reveals systematic differences in the position and main-chain conformation of the second hypervariable region of the VH domain (H2). We show that the major determinant of the position of H2 is the size of the residue at site 71, a site that is in the conserved framework of the VH domain. It is likely that for about two thirds of the known VH sequences the size of the residue at this site is also a major determinant of the conformation of H2. This effect can override the predisposition of the sequence, as in the case of the H2 loop of J539, which is an exception to the rules relating sequence and conformation of short hairpin loops. Understanding the relationship between the residue at position 71 and the position and conformation of H2 has applications to the prediction and engineering of antigen-binding sites of immunoglobulins.


Journal of Clinical Investigation | 2004

Remarkably similar antigen receptors among a subset of patients with chronic lymphocytic leukemia.

Fabio Ghiotto; Franco Fais; Angelo Valetto; Emilia Albesiano; Shiori Hashimoto; Mariella Dono; Hideyuki Ikematsu; Steven L. Allen; Jonathan E. Kolitz; Kanti R. Rai; Marco Nardini; Anna Tramontano; Manlio Ferrarini; Nicholas Chiorazzi

Studies of B cell antigen receptors (BCRs) expressed by leukemic lymphocytes from patients with B cell chronic lymphocytic leukemia (B-CLL) suggest that B lymphocytes with some level of BCR structural restriction become transformed. While analyzing rearranged V(H)DJ(H) and V(L)J(L) genes of 25 non-IgM-producing B-CLL cases, we found five IgG(+) cases that display strikingly similar BCRs (use of the same H- and L-chain V gene segments with unique, shared heavy chain third complementarity-determining region [HCDR3] and light chain third complementarity-determining region [LCDR3] motifs). These H- and L-chain characteristics were not identified in other B-CLL cases or in normal B lymphocytes whose sequences are available in the public databases. Three-dimensional modeling studies suggest that these BCRs could bind the same antigenic epitope. The structural features of the B-CLL BCRs resemble those of mAbs reactive with carbohydrate determinants of bacterial capsules or viral coats and with certain autoantigens. These findings suggest that the B lymphocytes that gave rise to these IgG(+) B-CLL cells were selected for this unique BCR structure. This selection could have occurred because the precursors of the B-CLL cells were chosen for their antigen-binding capabilities by antigen(s) of restricted nature and structure, or because the precursors derived from a B cell subpopulation with limited BCR heterogeneity, or both.


Proteins | 2000

A model for the hepatitis C virus envelope glycoprotein E2

Asutosh T. Yagnik; Armin Lahm; Annalisa Meola; Rosa Maria Roccasecca; Bruno Bruni Ercole; Alfredo Nicosia; Anna Tramontano

Several experimental studies on hepatitis C virus (HCV) have suggested the envelope glycoprotein E2 as a key antigen for an effective vaccine against the virus. Knowledge of its structure, therefore, would present a significant step forward in the fight against this disease. This paper reports the application of fold recognition methods in order to produce a model of the HCV E2 protein. Such investigation highlighted the envelope protein E of Tick Borne Encephalitis virus as a possible template for building a model of HCV E2. Mapping of experimental data onto the model allowed the prediction of a composite interaction site between E2 and its proposed cellular receptor CD81, as well as a heparin binding domain. In addition, experimental evidence is provided to show that CD81 recognition by E2 is isolate or strain specific and possibly mediated by the second hypervariable region (HVR2) of E2. Finally, the studies have also allowed a rough model for the quaternary structure of the envelope glycoproteins E1 and E2 complex to be proposed. Proteins 2000;40:355–366.


Proteins | 2014

Critical assessment of methods of protein structure prediction (CASP) - round x: Critical Assessment of Structure Prediction

John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Torsten Schwede; Anna Tramontano

This article is an introduction to the special issue of the journal PROTEINS, dedicated to the tenth Critical Assessment of Structure Prediction (CASP) experiment to assess the state of the art in protein structure modeling. The article describes the conduct of the experiment, the categories of prediction included, and outlines the evaluation and assessment procedures. The 10 CASP experiments span almost 20 years of progress in the field of protein structure modeling, and there have been enormous advances in methods and model accuracy in that period. Notable in this round is the first sustained improvement of models with refinement methods, using molecular dynamics. For the first time, we tested the ability of modeling methods to make use of sparse experimental three‐dimensional contact information, such as may be obtained from new experimental techniques, with encouraging results. On the other hand, new contact prediction methods, though holding considerable promise, have yet to make an impact in CASP testing. The nature of CASP targets has been changing in recent CASPs, reflecting shifts in experimental structural biology, with more irregular structures, more multi‐domain and multi‐subunit structures, and less standard versions of known folds. When allowance is made for these factors, we continue to see steady progress in the overall accuracy of models, particularly resulting from improvement of non‐template regions. Proteins 2014; 82(Suppl 2):1–6.


Proceedings of the National Academy of Sciences of the United States of America | 2007

The implications of alternative splicing in the ENCODE protein complement.

Michael L. Tress; Pier Luigi Martelli; Adam Frankish; Gabrielle A. Reeves; Jan Jaap Wesselink; Corin Yeats; Páll ĺsólfur Ólason; Mario Albrecht; Hedi Hegyi; Alejandro Giorgetti; Domenico Raimondo; Julien Lagarde; Roman A. Laskowski; Gonzalo López; Michael I. Sadowski; James D. Watson; Piero Fariselli; Ivan Rossi; Alinda Nagy; Wang Kai; Zenia M Størling; Massimiliano Orsini; Yassen Assenov; Hagen Blankenburg; Carola Huthmacher; Fidel Ramírez; Andreas Schlicker; P. D. Jones; Samuel Kerrien; Sandra Orchard

Alternative premessenger RNA splicing enables genes to generate more than one gene product. Splicing events that occur within protein coding regions have the potential to alter the biological function of the expressed protein and even to create new protein functions. Alternative splicing has been suggested as one explanation for the discrepancy between the number of human genes and functional complexity. Here, we carry out a detailed study of the alternatively spliced gene products annotated in the ENCODE pilot project. We find that alternative splicing in human genes is more frequent than has commonly been suggested, and we demonstrate that many of the potential alternative gene products will have markedly different structure and function from their constitutively spliced counterparts. For the vast majority of these alternative isoforms, little evidence exists to suggest they have a role as functional proteins, and it seems unlikely that the spectrum of conventional enzymatic or structural functions can be substantially extended through alternative splicing.


Nucleic Acids Research | 2006

The PMDB Protein Model Database

Tiziana Castrignanò; Paolo D'Onorio De Meo; Domenico Cozzetto; Ivano Giuseppe Talamo; Anna Tramontano

The Protein Model Database (PMDB) is a public resource aimed at storing manually built 3D models of proteins. The database is designed to provide access to models published in the scientific literature, together with validating experimental data. It is a relational database and it currently contains >74 000 models for ∼240 proteins. The system is accessible at and allows predictors to submit models along with related supporting evidence and users to download them through a simple and intuitive interface. Users can navigate in the database and retrieve models referring to the same target protein or to different regions of the same protein. Each model is assigned a unique identifier that allows interested users to directly access the data.

Collaboration


Dive into the Anna Tramontano's collaboration.

Top Co-Authors

Avatar

Paolo Marcatili

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

Domenico Raimondo

Sapienza University of Rome

View shared research outputs
Top Co-Authors

Avatar

Veronica Morea

National Research Council

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Allegra Via

University of Rome Tor Vergata

View shared research outputs
Top Co-Authors

Avatar

Antonello Pessi

École Normale Supérieure

View shared research outputs
Top Co-Authors

Avatar

Arthur M. Lesk

Pennsylvania State University

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge