Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Project description:Synonymous recoding of viral genome can attenuate their replication, but can have pleiotropic effects, with multiple mechanisms contributing to attenuation. We set out to design recoded viral genomes whose attenuation was specific and conditional. The zinc finger antiviral protein (ZAP) recognizes CpG dinucleotides and targets CpG-rich RNAs for depletion, but RNA features such as CpG numbers, spacing and surrounding nucleotide composition that enable specific modulation by ZAP are undescribed. Using synonymously mutated HIV-1 genomes, we define several sequence features that govern ZAP sensitivity and stable attenuation. Using features defined using HIV-1, we then designed a mutant enterovirus A71 genome whose attenuation was also stable and strictly ZAP-dependent, both in cell culture and in mice. This conditionally attenuated enterovirus A71 elicited neutralizing antibodies that were protective against wild-type enterovirus 71 infection and disease. Elucidation of the determinants of ZAP sensitivity can thus enable the rational design of conditionally attenuated viral vaccines.
Project description:Evaluation of different strategies to interpret metaproteomics data acquired on soil samples from a floodplain along the Seine River (France) incorporating sample-specific metagenomics data, soil genome catalogue database, and generic sequence database.
Project description:The skin commensal yeast Malassezia is associated with several skin disorders. To establish a reference resource, we sought to determine the complete genome sequence of Malassezia sympodialis and identify its protein-coding genes. A novel genome annotation workflow combining RNA sequencing, proteomics, and manual curation was developed to determine gene structures with high accuracy.
Project description:To elucidate alterations in immune cells during enterovirus 71 (EV-A71) infection and explore potential interaction mechanisms.Single-cell sequencing technology was used to sequence peripheral blood monocytes (PBMCs) obtained from a severe hand, foot and mouth disease (HFMD) patient due to EV-A71 and a healthy control.
2024-06-20 | GSE269965 | GEO
Project description:Genome sequences of Enterovirus from Guatemalan sewage, 2019-2021
Project description:How specific cells respond to signaling pathways is largely encoded in the DNA sequence. However, the sequence rules result from complex interactions between signaling and cell-type-specific transcription factors and are considered intractable by traditional methods. Here, we leverage interpretable deep learning on high-resolution data and extensive validation experiments to identify the sequence rules for the Hippo pathway in mouse trophoblast stem cells. We show that Tead4 and Yap1 engage in two types of cooperativity. First, their binding is enhanced by cell-type-specific transcription factors, including Tfap2c, in a distance-dependent manner. Second, a strictly-spaced Tead double motif is a canonical Hippo pathway element that mediates strong Tead4 cooperativity through transient protein-protein interactions on DNA. These mechanisms occur genome-wide and allow us to predict how small sequence changes alter the activity of enhancers in vivo. This illustrates the power of interpretable deep learning to decode canonical and cell type-specific sequence rules of signaling pathways.