BioSys/BioISI Research Seminar

Isolation, characterization and clinical implication of extracellular vesicles

Sala 1.3.15, FCUL, Lisboa

Olivier De Wever
Laboratory Experimental Cancer Research, Ghent University, Belgium

Extracellular vesicles (EVs) mediate communication among cells and organisms through local and distant transport of proteins, nucleic acids and lipids. They emerge as potential indicators for environmental conditions and human diseases. The recent expansion of the EV research field has yielded a tangle of isolation and characterization methods. We created an expandable open-source knowledgebase to map methodological specifications of EV-related publications. To date, 1226 research publications from 2010 till 2015 are included. The knowledgebase exposes extensive diversity in EV isolation and characterization methods and identifies gaps in methodology reporting and critical quality control experiments. These methodological issues jeopardize EV research, since they give rise to ambiguous results. In order for the field to mature and reach its full potential, our knowledgebase aims to create a sense of urgent mutual responsibility among researchers to improve the quality and reproducibility of EV research. In addition, we provide a comparative evaluation of four EV isolation protocols for their usability, yield and purity, and their impact on downstream omics approaches for biomarker discovery. OptiPrep density gradient centrifugation outperforms ultracentrifugation and ExoQuick and Total Exosome Isolation precipitation in terms of purity, as illustrated by the highest number of CD63-positive EVs, the highest enrichment in EV marker proteins and a lack of contaminating proteins such as Ago2. The purest EV fractions revealed a unique mRNA profile enriched for translation, ribosome, mitochondrion and nuclear lumen function. Our results demonstrate that implementation of high purification techniques is a prerequisite to identify EV-specific functions and biomarkers.

BioISI - Instituto de Biossistemas e Ciências Integrativas

Lisbon Workshop Series - AI Aesthetics and Philosophy of Technology.

Mathematical Logic Seminar, por António Marques Fernandes (IST - Universidade de Lisboa).

Data Science Seminar, por Daniel Gonçalves (LASIGE/DI-FCUL).

Geometry & Physics Seminar, por Davide Guzzetti (SISSA, Italy).

Talk @DI, por Luís Pinto (DI, Ciências ULisboa).

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Ciclo de Palestras de Outono do GAPsi.

Ação de formação para docentes.

Currently, climate changes or alterations are known to be reflected on the stable isotope ratios of Hydrogen, Nitrogen, Carbon, Oxygen and Sulphur present in atmospheric gas forms, fresh or ocean water, as well as in plants and animals and organic matter in the soil.

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Ciclo de Palestras de Outono do GAPsi.

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A campanha visa recolher o maior número possível de pilhas, baterias, lâmpadas, tinteiros e equipamentos elétricos usados.

Pormenor de mapa do continente europeu

Candidaturas online de 1 a 31 de dezembro de 2022.

The objective of this course is to acquire knowledge regarding bioinformatic tools available to predict nucleic acid (RNA, DNA or Nucleic Acids Mimics) and protein three-dimensional structure, as well as autonomy and critical thinking in the use of those tools.

Science is increasingly more present in our everyday decisions, with a fundamental role in global problems. Scientists, as the main actors in the production of scientific knowledge, have the responsibility of having an active voice in communicating this knowledge.

The course aims at introducing attendants to an updated state of the art of diversity of the soil biota and the functional roles played by soil organisms in key ecological processes.

Symbiosis is a key strategy for life on Earth. Nevertheless, although many research groups have long been committed to the study of symbiosis, its definition and functioning are not fully understood, and its ecological role and relevance are still underestimated.

This 5-day course offers to the participants a light microscopy course focusing on fluorescence microscopy techniques applied to the detection of proteins and glycans in tissue samples and cell cultures.

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Candidaturas ao prémio (versões preliminares dos artigos) até 28 de fevereiro de 2023.

This course aims to explore ways of communicating science to non-specialized audiences, such as policy makers, industry, general public (including students and teachers), through their engagement and participation in citizen science activities.

A 19 de abril de 2023 celebra-se o 112.º aniversário da Faculdade de Ciências da Universidade de Lisboa.

The objective of this course is to provide students with basic knowledge of R programming, allowing them to manipulate and visualize data with R.

The objective of this course is to provide students with statistical knowledge and tools to manipulate, analyze and visualize biological data with R. Introduction to modeling, simulations and Bayesian statistics.

Under the general framework of Global Change Ecology, the goal of this course is to provide the participants with the most recent and practical knowledge on the use of Functional Diversity. This includes the selection of functional traits and calculation of Functional Diversity Indexes.

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Abstract submission will close on 14 November 2022.

The course provides essential skills and knowledge that enable the participants to develop climate change adaptation strategies.

The objective of this course is to provide participants with basic knowledge on a) the fundamental aspects of experimental design and b) workflows, platforms and tools to increase reproducibility at all scientific levels.