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Dive into the research topics where Valentina Dal Col is active.

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Featured researches published by Valentina Dal Col.


Molecular Oncology | 2015

Smoothened (SMO) receptor mutations dictate resistance to vismodegib in basal cell carcinoma

Sabrina Pricl; Barbara Cortelazzi; Valentina Dal Col; Domenico Marson; Erik Laurini; Maurizio Fermeglia; L. Licitra; Silvana Pilotti; Paolo Bossi; Federica Perrone

Basal cell carcinomas (BCCs) and a subset of medulloblastomas are characterized by loss‐of‐function mutations in the tumor suppressor gene, PTCH1. PTCH1 normally functions by repressing the activity of the Smoothened (SMO) receptor. Inactivating PTCH1 mutations result in constitutive Hedgehog pathway activity through uncontrolled SMO signaling. Targeting this pathway with vismodegib, a novel SMO inhibitor, results in impressive tumor regression in patients harboring genetic defects in this pathway. However, a secondary mutation in SMO has been reported in medulloblastoma patients following relapse on vismodegib to date. This mutation preserves pathway activity, but appears to confer resistance by interfering with drug binding.


ACS Medicinal Chemistry Letters | 2011

Homology Model and Docking-Based Virtual Screening for Ligands of the σ1 Receptor

Erik Laurini; Valentina Dal Col; Maria Grazia Mamolo; Daniele Zampieri; Paola Posocco; Maurizio Fermeglia; Luciano Vio; Sabrina Pricl

This study presents for the first time the 3D model of the σ1 receptor protein as obtained from homology modeling techniques, shows the applicability of this structure to docking-based virtual screening, defines a computational strategy to optimize the results based on a combination of 3D pharmacophore-based docking and MM/PBSA free energy of binding scoring, and provides evidence that these in silico models and recipes are powerful tools on which virtual screening of new σ1 ligands can be based. In particular, the validation of the applicability of docking-based virtual screening to homology models is of utmost importance, since no crystal structure is available to date for the σ1 receptor, and this missing information still constitutes a major hurdle for a rational ligand design for this important protein target.


ChemMedChem | 2013

Chemical, Pharmacological, and in vitro Metabolic Stability Studies on Enantiomerically Pure RC‐33 Compounds: Promising Neuroprotective Agents Acting as σ1 Receptor Agonists

Daniela Rossi; Alice Pedrali; Raffaella Gaggeri; Annamaria Marra; Luca Pignataro; Erik Laurini; Valentina Dal Col; Maurizio Fermeglia; Sabrina Pricl; Dirk Schepmann; Bernhard Wünsch; Marco Peviani; Daniela Curti; Simona Collina

Our recent research efforts identified racemic RC‐33 as a potent and metabolically stable σ1 receptor agonist. Herein we describe the isolation of pure RC‐33 enantiomers by chiral chromatography, assignment of their absolute configuration, and in vitro biological studies in order to address the role of chirality in the biological activity of these compounds and their metabolic processing. The binding of enantiopure RC‐33 to the σ1 receptor was also investigated in silico by molecular dynamics simulations. Both RC‐33 enantiomers showed similar affinities for the σ1 receptor and appeared to be almost equally effective as σ1 receptor agonists. However, the R‐configured enantiomer showed higher in vitro hepatic metabolic stability in the presence of NADPH than the S enantiomer. Overall, the results presented herein led us to select (R)‐RC‐33 as the optimal candidate for further in vivo studies in an animal model of amyotrophic lateral sclerosis.


Small | 2016

Mastering Dendrimer Self-Assembly for Efficient siRNA Delivery: From Conceptual Design to In Vivo Efficient Gene Silencing

Chao Chen; Paola Posocco; Xiaoxuan Liu; Qiang Cheng; Erik Laurini; Jiehua Zhou; Cheng Liu; Yang Wang; Jingjie Tang; Valentina Dal Col; Tianzhu Yu; Suzanne Giorgio; Maurizio Fermeglia; Fanqi Qu; Zicai Liang; John J. Rossi; Minghua Liu; Palma Rocchi; Sabrina Pricl; Ling Peng

Self-assembly is a fundamental concept and a powerful approach in molecular science. However, creating functional materials with the desired properties through self-assembly remains challenging. In this work, through a combination of experimental and computational approaches, the self-assembly of small amphiphilic dendrons into nanosized supramolecular dendrimer micelles with a degree of structural definition similar to traditional covalent high-generation dendrimers is reported. It is demonstrated that, with the optimal balance of hydrophobicity and hydrophilicity, one of the self-assembled nanomicellar systems, totally devoid of toxic side effects, is able to deliver small interfering RNA and achieve effective gene silencing both in cells - including the highly refractory human hematopoietic CD34(+) stem cells - and in vivo, thus paving the way for future biomedical implementation. This work presents a case study of the concept of generating functional supramolecular dendrimers via self-assembly. The ability of carefully designed and gauged building blocks to assemble into supramolecular structures opens new perspectives on the design of self-assembling nanosystems for complex and functional applications.


Journal of Medicinal Chemistry | 2014

Synthesis, Pharmacological Evaluation, and σ1 Receptor Interaction Analysis of Hydroxyethyl Substituted Piperazines

Frauke Weber; Stefanie Brune; Katharina Korpis; Patrick J. Bednarski; Erik Laurini; Valentina Dal Col; Sabrina Pricl; Dirk Schepmann; Bernhard Wünsch

Starting from (S)- or (R)-aspartate, three synthetic strategies were explored to prepare hydroxyethyl substituted piperazines with different substituents at the N-atoms. σ receptor affinity was recorded using receptor material from both animal and human origin. σ1 affinities determined with guinea pig brain and human RPMI 8226 tumor cell lines differed slightly but showed the same tendency. (S)-2-[4-(Cyclohexylmethyl)-1-(naphthalene-2-ylmethyl)piperazin-2-yl]ethanol (7c) revealed the highest affinity at human σ1 receptors (Ki = 6.8 nM). The potent σ1 receptor ligand 7c was able to inhibit selectively the growth of three human tumor cell lines with IC50 values in the low micromolar range. The reduced growth of the RPMI-8226 cell line was caused by apoptosis. The interaction of 7c with the σ1 receptor was analyzed in detail using the 3D homology model of the σ1 receptor. The calculated free binding energies of all hydroxyethylpiperazines nicely correlate with their recorded affinities toward the human σ1 receptor.


Molecular Oncology | 2013

Are two better than one? A novel double-mutant KIT in GIST that responds to Imatinib

Elena Conca; Claudia Miranda; Valentina Dal Col; Elena Fumagalli; Giuseppe Pelosi; Mara Mazzoni; Maurizio Fermeglia; Erik Laurini; Marco A. Pierotti; Silvana Pilotti; Angela Greco; Sabrina Pricl; Elena Tamborini

Gastrointestinal stromal tumors carry in about 85% of the cases activating mutations in KIT gene. Generally only one KIT mutation is found in primary tumors and the majority of mutations affecting KIT exon 11 is sensitive to Imatinib.


Small | 2016

siRNA Delivery: Mastering Dendrimer Self-Assembly for Efficient siRNA Delivery: From Conceptual Design to In Vivo Efficient Gene Silencing (Small 27/2016).

Chao Chen; Paola Posocco; Xiaoxuan Liu; Qiang Cheng; Erik Laurini; Jiehua Zhou; Cheng Liu; Yang Wang; Jingjie Tang; Valentina Dal Col; Tianzhu Yu; S. Giorgio; Maurizio Fermeglia; Fanqi Qu; Zicai Liang; John J. Rossi; Minghua Liu; Palma Rocchi; Sabrina Pricl; Ling Peng

Supramolecular dendrimers created from small amphiphilic dendrons are able to mimic covalently constructed high-generation dendrimers for siRNA delivery, as presented by S. Pricl, L. Peng, and co-workers on page 3667. An optimal balance between the hydrophobic alkyl chain length and the hydrophilic dendritic portion is crucial for self-assembly of these amphiphilic dendrons into micellar nanostructures, and critically impacts the effectiveness of siRNA delivery and functional gene silencing.


Mutation Research | 2015

Target sequencing approach intended to discover new mutations in non-syndromic intellectual disability

Anna Morgan; Ilaria Gandin; Chiara Belcaro; Pietro Palumbo; Orazio Palumbo; Elisa Biamino; Valentina Dal Col; Erik Laurini; Sabrina Pricl; Paolo Bosco; Massimo Carella; Giovanni Battista Ferrero; Corrado Romano; Adamo Pio d’Adamo; Flavio Faletra; Diego Vozzi

The technological improvements over the last years made considerable progresses in the knowledge of the etiology of intellectual Disability (ID). However, at present very little is known about the genetic heterogeneity underlying the non-syndromic form of ID (NS-ID). To investigate the genetic basis of NS-ID we analyzed 43 trios and 22 isolated NS-ID patients using a targeted sequencing (TS) approach. 71 NS-ID genes have been selected and sequenced in all subjects. We found putative pathogenic mutations in 7 out of 65 patients. The pathogenic role of mutations was evaluated through sequence comparison and structural analysis was performed to predict the effect of alterations in a 3D computational model through molecular dynamics simulations. Additionally, a deep patient clinical re-evaluation has been performed after the molecular results. This approach allowed us to find novel pathogenic mutations with a detection rate close to 11% in our cohort of patients. This result supports the hypothesis that many NS-ID related genes still remain to be discovered and that NS-ID is a more complex phenotype compared to syndromic form, likely caused by a complex and broad interaction between genes alterations and environment factors.


Journal of Medicinal Chemistry | 2012

Pd-Catalyzed Direct C–H Bond Functionalization of Spirocyclic σ1 Ligands: Generation of a Pharmacophore Model and Analysis of the Reverse Binding Mode by Docking into a 3D Homology Model of the σ1 Receptor

Christina Meyer; Dirk Schepmann; Shuichi Yanagisawa; Junichiro Yamaguchi; Valentina Dal Col; Erik Laurini; Kenichiro Itami; Sabrina Pricl; Bernhard Wünsch


Molecular Cancer Therapeutics | 2013

Resistance to Hedgehog inhibitor through Smoothened receptor mutation in basal cell carcinoma.

Paolo Bossi; Federica Perrone; Barbara Cortellazzi; Lisa Licitra; Valentina Dal Col; Erik Laurini; Maurizio Fermeglia; Sabrina Pricl

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Chao Chen

Aix-Marseille University

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Jingjie Tang

Aix-Marseille University

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Ling Peng

Aix-Marseille University

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Palma Rocchi

Aix-Marseille University

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