Systems biology of blood vessel formation: a transcriptome study

• Grant number: 12/15197-1
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: October 01, 2012
• End date: June 04, 2017
• Field of knowledge: Biological Sciences - Biochemistry - Molecular Biology
• Principal Investigator: João Carlos Setubal
• Grantee: Rodrigo Guarischi Mattos Amaral de Sousa
• Host Institution: Instituto de Química (IQ). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated scholarship(s): 14/21360-8 - Angiogenic pathological signature and its prognostic power, BE.EP.DR

Abstract

This work aims to analyze transcriptome data obtained from retina tissues in mouse models. The disease underlying the study is Retinopathy of prematurity. The goal is to identify potential drug targets. Transcriptome data will be generated by RNAseq. Various bioinformatics tools will be employed. RT-PCR will be done to confirm promising transcripts. We aim to achieve a new systemic understanding of the genes and pathways involved in retinal angiogenesis.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PUIGVERT, MARINA; GUARISCHI-SOUSA, RODRIGO; ZULUAGA, PAOLA; COLL, NURIA S.; MACHO, ALBERTO P.; SETUBAL, JOAO C.; VALLS, MARC. Transcriptomes of Ralstonia solanacearum during Root Colonization of Solanum commersonii. FRONTIERS IN PLANT SCIENCE, v. 8, MAR 20 2017. (12/15197-1)

ERILL, IVAN; PUIGVERT, MARINA; LEGRAND, LUDOVIC; GUARISCHI-SOUSA, RODRIGO; VANDECASTEELE, CELINE; SETUBAL, JOAO C.; GENIN, STEPHANE; GUIDOT, ALICE; VALLS, MARC. Comparative Analysis of Ralstonia solanacearum Methylomes. FRONTIERS IN PLANT SCIENCE, v. 8, APR 13 2017. (12/15197-1)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SOUSA, Rodrigo Guarischi Mattos Amaral de. The transcriptome of oxygen-induced retinopathy and an angiogenesis-based prognostic gene signature for prediction of breast cancer relapse. 2017. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI) São Paulo.