Ressource en auto-formation : A combined laser microdissection and mass spectrometry method for proteomic analysis of tissue sections for the indentification of tumor signatures

Clinical and biological samples : opportunities and challenges for translational research A challenge in oncology is to better define the tumor of the patient to study the pathology and of course to find and to use the right treatment. Genetic and transcriptomic analyses allow a cancer classifica...
cours / présentation - Création : 10-11-2015
Par : Anne-Aurélie RAYMOND
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Présentation de: A combined laser microdissection and mass spectrometry method for proteomic analysis of tissue sections for the indentification of tumor signatures

Informations pratiques sur cette ressource

Langue du document : Anglais
Type : cours / présentation
Niveau : doctorat, enseignement supérieur
Durée d'exécution : 20 minutes 18 secondes
Contenu : vidéo
Document : video/mp4
Poids : 119.71 Mo
Droits d'auteur : libre de droits, gratuit
Droits réservés à l'éditeur et aux auteurs. Creative Commons (BY NC)

Description de la ressource en auto-formation

Résumé

Clinical and biological samples : opportunities and challenges for translational research A challenge in oncology is to better define the tumor of the patient to study the pathology and of course to find and to use the right treatment. Genetic and transcriptomic analyses allow a cancer classification, and give a lot of informations concerning carcinogenesis. However, the proteomic analysis can complete the genomic analysis and precise the tumor features. With the Frederic Saltel’s group within the INSERM 1053 Unit of Bordeaux, we have already developed a new method of proteomic analysis of subcellular compartments after laser microdissection that has been the object of a patent registration. Resulting from a know-how acquired during the development of this new method, we have developed a procedure combining laser microdissection and mass spectrometry analysis to identify and compare the levels of protein expression between two tissues pieces of formalin fixed paraffin embedded tissue sections. Our approach presents the principal advantage to be compatible with biopsy, the current biological material available for clinical assays. Moreover, with this approach we will obtain quantitative data in comparison with classical immunohistochemistry. Our subject of study in the laboratory is the hepatocellular carcinoma (HCC), the sixth most prevalent cancer and the third most frequent cause of cancer-related death. We already validated our protocol on two cases of HCC and one low-grade dysplastic nodule, one of the earlier stages of liver carcinogenesis. Now, we want to enlarge our analyses on a bigger cohort to compare the proteome of the different stages of liver carcinogenesis. We will use the proteomic data to generate proteomic signatures of each stage of liver carcinogenesis and validate the signatures generated. Finally we will propose a new tool for tumor characterization and biomarkers quantification that can be applicable in clinic. Cette présentation a été donnée dans le cadre du BRIO SIRIC scientific day 3 organisé annuellement par le SIRIC BRIO et qui a pour but de réunir tous les acteurs du SIRIC BRIO et plus largement de la cancérologie à Bordeaux.

"Domaine(s)" et indice(s) Dewey

  • Cancer (616.994)

Domaine(s)

Intervenants, édition et diffusion

Intervenants

Fournisseur(s) de contenus : Université de Bordeaux - Service Audiovisuel et Multimédia, Université de Bordeaux - Service Audiovisuel et Multimédia

Édition

  • Université de Bordeaux - Service Audiovisuel et Multimédia

Diffusion

Document(s) annexe(s) - A combined laser microdissection and mass spectrometry method for proteomic analysis of tissue sections for the indentification of tumor signatures

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AUTEUR(S)

  • Anne-Aurélie RAYMOND

DIFFUSION

Cette ressource en auto-formation vous est proposée par :
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ÉDITION

Université de Bordeaux - Service Audiovisuel et Multimédia

EN SAVOIR PLUS

  • Identifiant de la fiche
    19697
  • Identifiant OAI-PMH
    oai:canal-u.fr:19697
  • Schéma de la métadonnée
  • Entrepôt d'origine
    Canal-U
  • Publication
    10-11-2015

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