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Collaborative projects

 

Leadership positions

  1. Chair of the BioImaging North America Quality-Control and Data Management Working Group |
  2. Member of the QUAREP-LiMi Executive Council |
  3. Elected Member of the QUAREP-LiMi Steering Committee |
  4. Elected Co-chair of the QUAREP-LiMi Metadata Working Group (WG7) |
  5. Member of the ABRF Committee on Core Rigor and Reproducibility (CCoRRe) |
  6. Member of the NIH CFDE Ontology Working Group | 

 

Recognitions

The following editorials describing Dr. Strambio De Castillia's work have recently been published:

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Academic Background

Caterina Strambio De Castillia grew up in Italy and received her Laurea in Biologia (equivalent to B.S./M.S.) from the University of Pavia in 1988. She obtained her Ph.D. (1992-1998) working with Gunter Blobel at The Rockefeller University, investigating how the nuclear pore complex interfaces with the cellular genome in yeast. She continued this work at the same institution in the laboratory of Mike Rout, initially as a postdoctoral fellow (1998-2002) and then as a Research Associate (2002-2006). She then moved to the IRB-Bellinzona and to the University of Geneva, Switzerland, where she was a staff Research Scientist (2006-2012) developing imaging and proteomics methods to study the mechanism by which HIV-1 interacts with the host defense mechanisms to gain access to the cell nucleus.  In 2012, Dr. Strambio De Castillia joined the Program in Molecular Medicine at the University of Massachusetts Medical School.

Her work has been supported by the American Cancer Society, the European Union and the Swiss National Science Foundation, the Chan Zuckerberg Initiative, and the NIH.

Dr. Strambio De Castillia has extensive multidisciplinary training in cellular and molecular biology, advanced microscopy, bio-image informatics, and research data management. Her work highlights the importance of open science and FAIR data principles in advancing basic biology and ensuring the sustainability and reusability of research.  

Dr. Strambio De Castillia has a demonstrated ability to bring together individuals with diverse expertise and scientific backgrounds. She is a recognized and passionate teacher with extensive experience tailoring training to individual scientific interests, backgrounds, perspectives, and areas of origin.

Dr. Strambio De Castillia leads several community efforts to empower collaboration at the national and international levels. She also has a recognized leading role in the community, as testified by her many leadership positions and recognitions.

 

Research interests

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Other areas of expertise

Dissecting the interplay between HIV-1 and human cells during viral entry

After HIV-1 fuses with a target cell membrane, the virion core is delivered into the cytosol of the infected cell. A DNA copy (cDNA) of the HIV-1 RNA genome is produced by the HIV-1 reverse transcriptase (RT), and the cDNA is ligated to host cell chromosomal DNA by HIV-1 integrase. Despite 30 years of research, a detailed understanding of these essential early steps in HIV-1 replication remains elusive. Some of the open questions ask:

  1. Does the virion core need to undergo an “uncoating” process to enable reverse transcription?
  2. Is RT active in the cytoplasm or the nucleus?
  3. Does the intracellular path followed by the virion core influence its ability to give rise to a productive infection?
  4. How does HIV-1 reach the nucleus?

Up to this point, progress has been impeded by the fragile nature of HIV-1 replication intermediates and the low infectivity-to-particle ratio of virions, which makes it difficult, if not impossible, to meaningfully dissect different steps in the pathway by bulk biochemical means alone.

Tracking HIV-1 as it traverses living cells in real-time

The Strambio De Castillia laboratory aims to remedy this lack of understanding by developing methods to label and track infectious HIV-1 as it traverses living cells in real time. The aim is to identify those rare particles that have successfully integrated into chromosomal DNA, retrace their intracellular path as they travel to reach the cellular genome and identify their intracellular interaction partners in a time and space-resolved manner. Such information will be invaluable for furthering our understanding of the initial steps in the HIV-1 life cycle and for the rational design of anti-HIV-1 drugs that target them.

Quantitative analysis of viral trajectories gives insight into viral-host interactions

The complex interplay between HIV-1 and cellular components can be solved using dynamic imaging followed by rigorous computational analysis of viral particle trajectories. A major hurdle has been the difficulty of keeping track of multiple moving viral particles with sufficient temporal and spatial resolution while probing multiple experimental contexts.

A three-pronged multidisciplinary approach

To meet this challenge, the Strambio De Castillia group is engaged in a multidisciplinary, collaborative effort to develop integrated workflows that will provide the analysis, data management, and visualization capabilities required to drive a complete understanding of viral-host interactions in the context of living human tissues. The project articulates on three fronts:

  1. Real-time recording of HIV-1 viral core movement in infected human cells.
  2. Viral particle tracking and motion analysis.
  3. Building a novel bio-image informatics framework, called OMEGA, to support the comprehensive examination of particle movement across multiple experimental models and conditions. 

 

OMEGA project output

  1. Rigano A, Galli V, Clark JM, Pereira LE, Grossi L, Luban J, et al. OMEGA: a software tool for the management, analysis, and dissemination of intracellular trafficking data that incorporates motion type classification and quality control. bioRxiv 2018. Available from: http://dx.doi.org/10.1101/251850.
  2. Rigano A, Galli V, Gonciarz K, Sbalzarini IF, Strambio-De-Castillia C. An algorithm-centric Monte Carlo method to empirically quantify motion-type estimation uncertainty in single-particle tracking. bioRxiv 2018. Available from: http://dx.doi.org/10.1101/379255.
  3. Rigano A, Strambio-De-Castillia C. Proposal for minimum information guidelines to report and reproduce results of particle tracking and motion analysis. bioRxiv 2017. Available from: http://dx.doi.org/10.1101/155036.

 

 

 

 

 

 

 

 

 

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  • Proteomics