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Dive into the research topics where Giulia Paci is active.

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Featured researches published by Giulia Paci.


Angewandte Chemie | 2016

Debugging Eukaryotic Genetic Code Expansion for Site-Specific Click-PAINT Super-Resolution Microscopy.

Ivana Nikić; Gemma Estrada Girona; Jun Hee Kang; Giulia Paci; Sofya Mikhaleva; Christine Koehler; Nataliia V. Shymanska; Camilla Ventura Santos; Daniel Spitz; Edward A. Lemke

Abstract Super‐resolution microscopy (SRM) greatly benefits from the ability to install small photostable fluorescent labels into proteins. Genetic code expansion (GCE) technology addresses this demand, allowing the introduction of small labeling sites, in the form of uniquely reactive noncanonical amino acids (ncAAs), at any residue in a target protein. However, low incorporation efficiency of ncAAs and high background fluorescence limit its current SRM applications. Redirecting the subcellular localization of the pyrrolysine‐based GCE system for click chemistry, combined with DNA‐PAINT microscopy, enables the visualization of even low‐abundance proteins inside mammalian cells. This approach links a versatile, biocompatible, and potentially unbleachable labeling method with residue‐specific precision. Moreover, our reengineered GCE system eliminates untargeted background fluorescence and substantially boosts the expression yield, which is of general interest for enhanced protein engineering in eukaryotes using GCE.


FEBS Letters | 2016

Labeling of virus components for advanced, quantitative imaging analyses

Volkan Sakin; Giulia Paci; Edward A. Lemke; Barbara Müller

In recent years, investigation of virus–cell interactions has moved from ensemble measurements to imaging analyses at the single‐particle level. Advanced fluorescence microscopy techniques provide single‐molecule sensitivity and subdiffraction spatial resolution, allowing observation of subviral details and individual replication events to obtain detailed quantitative information. To exploit the full potential of these techniques, virologists need to employ novel labeling strategies, taking into account specific constraints imposed by viruses, as well as unique requirements of microscopic methods. Here, we compare strengths and limitations of various labeling methods, exemplify virological questions that were successfully addressed, and discuss challenges and future potential of novel approaches in virus imaging.


Archive | 2018

Fluorogenic Tetrazine-Siliconrhodamine Probe for the Labeling of Noncanonical Amino Acid Tagged Proteins

Eszter Kozma; Giulia Paci; Gemma Estrada Girona; Edward A. Lemke; Péter Kele

Tetrazine-bearing fluorescent labels enable site-specific tagging of proteins that are genetically manipulated with dienophile modified noncanonical amino acids. The inverse electron demand Diels-Alder reaction between the tetrazine and the dienophile fulfills the criteria of bioorthogonality allowing fluorescent labeling schemes of live cells. Here, we describe the detailed synthetic and labeling protocols of a near infrared emitting siliconrhodamine-tetrazine probe suitable for super-resolution imaging of residue-specifically engineered proteins in mammalian cells.


Proceedings of the 6th International Workshop on Mining Scientific Publications | 2017

A Discipline-Enriched Dataset for Tracking the Computational Turn of European Universities

Federico Nanni; Giulia Paci

In recent years, academic research appears to have been going through a methodological turning point. The discussion around the impact that computational methods will have on traditional fields of study has been the focus of many calls for papers and panels at established conferences. However, despite the high prevalence of this topic in the academic debate, it remains very challenging to assess whether academia as a whole has been actually adopting more digital resources and methods during the recent years. We are currently studying this topic by combining hermeneutic and text mining practices while analyzing one of the primary research output of European universities, namely doctoral theses. In this work, we present an enriched dataset we created for addressing this research questions and the first results of the analyses we have conducted so far.


Chemical Communications | 2017

Bioorthogonal double-fluorogenic siliconrhodamine probes for intracellular super-resolution microscopy

Eszter Kozma; G. Estrada Girona; Giulia Paci; Edward A. Lemke; Péter Kele


Cell | 2017

Shining a Light on Phase Separation in the Cell

Giulia Paci; Edward A. Lemke


Angewandte Chemie | 2016

Verbesserte Erweiterung des eukaryotischen genetischen Codes für seitenspezifische, hochauflösende Click-PAINT-Mikroskopie

Ivana Nikić; Gemma Estrada Girona; Jun Hee Kang; Giulia Paci; Sofya Mikhaleva; Christine Koehler; Nataliia V. Shymanska; Camilla Ventura Santos; Daniel Spitz; Edward A. Lemke


Biophysical Journal | 2017

Following a Giant's Footsteps: Single-Particle and Super-Resolution Approaches to Decipher the Nuclear Transport of Hepatitis B Virus Capsids

Giulia Paci; Niccolò Banterle; Christine Koehler; Edward A. Lemke


Biophysical Journal | 2017

Incorporating Single-Particle Biophysics into Correlated Cryo-Fluorescence and Cryo-Electron Microscopy

Lauren Ann Metskas; Giulia Paci; Edward A. Lemke; John A. G. Briggs


Angewandte Chemie | 2016

Titelbild: Verbesserte Erweiterung des eukaryotischen genetischen Codes für seitenspezifische, hochauflösende Click-PAINT-Mikroskopie (Angew. Chem. 52/2016)

Ivana Nikić; Gemma Estrada Girona; Jun Hee Kang; Giulia Paci; Sofya Mikhaleva; Christine Koehler; Nataliia V. Shymanska; Camilla Ventura Santos; Daniel Spitz; Edward A. Lemke

Collaboration


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Edward A. Lemke

European Bioinformatics Institute

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Christine Koehler

European Bioinformatics Institute

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Gemma Estrada Girona

European Bioinformatics Institute

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Camilla Ventura Santos

European Bioinformatics Institute

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Daniel Spitz

European Bioinformatics Institute

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Ivana Nikić

European Bioinformatics Institute

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Jun Hee Kang

European Bioinformatics Institute

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Sofya Mikhaleva

European Bioinformatics Institute

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Nataliia V. Shymanska

North Carolina State University

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Eszter Kozma

Hungarian Academy of Sciences

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