News at the platform

EMBO Workshop-Visualizing Biological data (VIZBI 2024)

2024-03-15

Investigating the role of protein CENP-F in cellular models of neuronal differentiation over time.

Centromere protein-F (CENP-F) is a large multidomain protein with well-characterized functions in regulating microtubule dynamics and chromosome segregation during mitosis. Mutations of CENP-F identified in microcephaly and ciliopathies suggest a critical role of this protein during brain development, which however remains poorly elucidated.

Here, we have investigated CENP-F roles in cellular models of neuronal differentiation. First, we characterised morphological changes and appearance of neuronal markers in murine P19 pluripotent cells induced to differentiate in the presence of retinoic acid. We next extended these studies to dedifferentiated, neuroblastoma SKNBE(2) cells induced to re-establish a differentiated neuronal  phenotype. We also performed CENP-F interference assays in SKNBE(2) cells to assess whether the loss of CENP-F would affect neuronal differentiation. The work was assisted by an artificial intelligence-based algorithm that enabled us to perform an automated analysis of differentiation during time-lapse videorecording. We found that CENP-F undergoes a striking relocalisation from the nucleus to the cytoplasm and neuritic extensions during differentiation. CENP-F silencing yields a disorganised differentiation process. These data suggest therefore a requirement for CENP-F in neurodifferentiation.

https://vizbi.org/2024/

Imaging 3D cellular models for biomedical applications Theoretical-practical course

2023-10-10

On the 10th-11th of October a microscopy course for the PhD students of the BeMM School will be held at the IBPM-CNR imaging platform (BBCD Department, Polo San Lorenzo).

As detailed in the attached programme, the course will include a theoretical session open to all students; a practical session of confocal spinning disk 3D cell imaging (acquisition and analysis) open to 12 students in presence (divided in subgroups, 2 hours each) and to all interested students from remote. Samples will be provided by the imaging platform but there will be space for questions and discussion where students can explore the suitability of the instrumentation for applications of their interest.

Students who would like to participate in the course are asked to send an email to Giulia Guarguaglini (giulia.guarguaglini@uniroma1.it), specifying whether they would like to attend the practical session in presence. If >12 students will register for an in presence practical session, a selection will be done based on their interests or future plans to use the methods.

EMBO Workshop-VISUALIZING BIOLOGICAL DATA (VIZBI)

2023-03-29

Artificial Intelligence-based analysis of commitment towards neuronal differentiation in living pluripotent cells over time

Neuronal differentiation is a highly complex, multistep process that regulates the determination and specification of neuronal fate, as well as major molecular and functional changes, such as the emergence of neurites and maturation of dendrites and axons. Acquiring a profound knowledge of factors regulating neuronal differentiation is crucial to identify particularly vulnerable windows in which defects or gene mutations can cause neurodevelopmental disorders. This requires capturing the dynamic dimension of the process.

Here we aimed at imaging neuronal differentiation over time, both in fixed cell cultures and under in vivo conditions, to depict morphological cell changes and appearance of neuronal markers. We first characterized differentiating cell models exposed to classical inducers, i.e. Retinoic Acid (RA) and Neurobasal (NB) Medium. We next selected murine P19 pluripotent cells undergoing differentiation for time-lapse recording (up to 96 h) to follow up in real time their commitment to the neuronal fate. We developed two novel artificial intelligence (AI)-based algorithms to perform a high-throughput analysis of the phenotypes elicited during neuronal differentiation.

https://vizbi.org/2023/

High-content imaging for morphological profiling of 3D breast acini

2022-12-12

Collaborative work between researchers at the IBPM platform and CrestOptics Company allowed the validation of a method for automated imaging and analysis of in vitro 3D breast epithelial acini. 

The derived Application Note (https://crestoptics.com/high-content-imaging-for-morphological-profiling-of-3d-breast-acini/) describes high-content platforms, based on the CrestOptics X-Light V3 spinning disk, applied to the morphological profiling of 3D breast spheroids derived from the MCF10A cell line.

The imaging system, coupled with Nis Elements Software capable of automating acquisitions and analyses, has made it possible to compare morphological characteristics between normal (MCF10A CTR) and transformed (MCF10A RAS) acini. High content analysis of morphological features such as volume, elongation, sphericity, diameter, and surface demonstrated that acini derived from transformed cells display an alteration of the acinar structure and architecture (see figure).

The combination of high content microscopy with tridimensional cellular models could thus contribute significantly to cancer research, especially in the validation of active molecules in drug screening.

Mostra Molecole

2022-10-13

Images obtained at the Imaging platform were presented at the Exhibition on Scientific Photorgraphy “Molecole”, organized by Associazione Giovanile Laboratorio11 in response to the call  “Vitamina G”, in collaboration with the  Dept of Biology and Biotechnology Charles Darwin (BBCD), the PhD course  in Genetics and Molecular  Biologiy of Sapienza University of Rome, the BBCD Department Library, and the  inter-departimental Centre  “Saperi&Co” of  Sapienza. 

13-14 October 2022, Container, via degli Etruschi, 15 Roma

https://bbcd.bio.uniroma1.it/bbcd/archivionotizie/molecole-13-e-14-ottobre-degli-etruschi-n-5-san-lorenzo-dalle-ore-1800-mostra

Grant award from Regione Lazio to develop 3D high-content imaging methodologies

2021-04-19

The project “Metodologie innovative di 3D high content imaging per la validazione di nuove molecole antitumorali” coordinated by Dr Francesca Degrassi has been funded by Regione Lazio within the Call “Progetti Gruppi di Ricerca 2020”.

New publication from the microscopy platform

2021-02-08

Polverino F, Naso FD, Asteriti IA, Palmerini V, Singh D, Valente D, Bird AW, Rosa A, Mapelli M, Guarguaglini G. The Aurora-A/TPX2 Axis Directs Spindle Orientation in Adherent Human Cells by Regulating NuMA and Microtubule Stability.

Curr Biol. 2021. 31:658-667.e5.

doi: 10.1016/j.cub.2020.10.096. Epub 2020 Dec 3.

In this study we characterised the role of the Aurora-A kinase and its major regulator TPX2 in the control of mitotic spindle orientation in mammalian cells, a process which determines the position and fate of daughter cells.

Work was collaboratively carried out by groups at the Institute of Molecular Biology and Pathology (IBPM) and at the European Institute of Oncology (IEO). Research groups at Sapienza University and at the Max Planck Institute of Molecular Physiology (Dortmund, DE) participated to the project.

IBPM reference person: Giulia Guarguaglini

Events

Cellular microscopy and image analysis - Theoretical-practical course

2022-07-13

A theoretical-practical course was offered at the Imaging platform for PhD students from 9 PhD courses associated to the PhD School in Molecular Biology and Medicine at Sapienza University of Rome.

Seminars in: Research Design in Genetics and Molecular Biology, Sapienza University

2021-04-09

An account of how coupling high-resolution imaging metods with mathematics and physical modelling provides insight into cell dynamics.

Guest speaker: Emanuele Roscioli, Fondazione Toscana Life Sciences, Siena.

Incontri al DSB – EuroBioImaging Italia and its nodes

2021-04-06

Euro-BioImaging is the European landmark research infrastructure for biological and biomedical imaging. Through Euro-BioImaging, life scientists can access imaging instruments, expertise, training opportunities and data management services. The webinar presented the activity of the Italian nodes to CNR biomedical scientists.

Workshop – Artificial intelligence and automation meet cellular imaging in biomedical research

2021-03-25

Cellular imaging is undergoing an unprecedented development that has greatly amplified its informative power with the introduction of machine learning, artificial intelligence-based approaches and quantitative data analysis. The workshop has explored the application of these methods in as diverse cell biology fields as cell migration a, morphological reconstruction of subcellular structures, and use of model organism- and cell-based assays in genetic and drug screening.

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