Project description:In this study, we aim to investigate the value of circulating tumor DNA (ctDNA) analysis in the diagnosis, treatment, and surveillance of patients with surgically resectable colorectal cancer, by performing serial analysis of ctDNA, next-generation sequencing of surgical specimens, and observation of patients undergoing radical resection of the tumor with or without adjuvant chemo- and/or radiotherapy.
Project description:Next Generation Sequencing in cancer: a feasibility study in France to assess sample circuit and to perform analyzes within a limited time.
Project description:Petunia is an excellent model system, especially for genetic, physiological and molecular studies. Thus far, however, genome-wide expression analysis has been rarely applied because of the lack of sequence information. We applied next-generation sequencing to generate, through de novo read assembly, a large catalogue of transcripts for Petunia axillaris and Petunia inflata. On the basis of the transcriptome of each species, comprehensive microarray chips for gene expression analysis were established and used for the analysis of global- and organ-specific gene expression in both species. In addition, microarray analysis was applied to explore the molecular basis of the seed coat defects in Petunia hybrida mutants, homozygous for a null allele of the AN11 gene, encoding a WDR transcription regulator. Among the transcripts differentially expressed in an11 seeds compared to wild type, many expected targets of AN11 were found but also several interesting new candidates that might play a role in morphogenesis of the seed coat. Our results validate the combination of next-generation sequencing with microarray analyses strategies to identify the transcriptome of two petunia species without previous knowledge of their genome, and to develop comprehensive chips as useful tools for the analysis of gene expression in P. axillaris, P. inflata and P. hybrida. The manuscript describes the creation by next generation sequencing of a large catalogue of the transcriptome of the two Petunia species, that are considered to represent the natural material from which the breeders selected their varieties. This submission represents the transcriptome component of study. The high throughput sequencing data were submitted to SRA (accession numbers: SRA027293, SRP004866.1, SRX036999.2, SRX036998.2).
Project description:Most proteogenomic approaches for mapping single amino acid polymorphisms (SAPs) require construction of a sample-specific database containing protein variants predicted from the next-generation sequencing (NGS) data. We present a new strategy for direct SAP detection without relying on NGS data. Among the 348 putative SAP peptides identified in an industrial yeast strain, 85.6% of SAP sites were validated by genomic sequencing.
