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Raffaella Maria Balestrini, PhD


Raffaella Balestrini was born in Torino, Italy. Degree in Biological Sciences at the University of Torino; PhD in Biology and Biotechnology of Fungi discussed in 1996 with a thesis entitled "Cellular and molecular interaction between symbiotic fungi and plants: in situ identification of cell wall components" working on cellular and molecular aspects during the interactions between plants and mycorrhizal fungi. CNR researcher since 1998, she is currently Senior Researcher at IPSP-CNR, Unit manager for the Turin Unit. Research interests are Genomics and Functional Genomics of symbiotic fungi; the involvement of cell wall molecules during plant/mycorrhizal fungi interaction; the LMD application for examining mycorrhizal symbioses, focusing mostly on transcriptomics profiles of homogeneous cell-type populations. Currently, she is involved in a comparative genomics project devoted to Pezizomycetes fungi, including three truffle species (T. melanosporum, T. magnatum and T. aestivum).

  • Webinar: Leica Microsystems Laser Microdissection – Dissection Perfection

    Laser Microdissection (LMD) is a microscopic technique for isolating homogeneous, specific and pure targets from heterogeneous samples for downstream analysis (DNA, RNA & proteins). In this webinar you will learn about techniques for precise, contamination-free isolation of specific cell types and obtain an overview of the scientific and practical considerations for obtaining highly pure material for further molecular analysis in the field of Parkinson's disease and plant research.
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  • Quantitative One-Step Protocol to Detect Transcripts in Laser Microdissected Samples

    Arbuscular mycorrhizal (AM) fungi are an essential feature of the biology and ecology of most terrestrial plants and, as biofertilizers, AM fungi are an emerging issue in many projects focused on low-input agriculture practices. The identification of the events that lead to the formation of an AM, including the mechanisms involved in nutrient transfer, will be a challenging objective for a better exploitation of AMs in agricultural programs.
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