Biodiversity genomics of small metazoa (Collembola)
Ontology highlight
ABSTRACT: Biodiversity genomics of small metazoa: high quality de novo genomes from single specimens of field-collected and ethanol-preserved springtails
Project description:Intra-tumoral heterogeneity can wreak havoc on current precision medicine strategies due to challenges in sufficient sampling of geographically separated areas of biodiversity distributed across centimeter-scale tumor distances. In particular, modern tissue profiling approaches are still largely designed to only interrogate small tumor fragments; which may constitute a minute and non-representative fraction of the overall neoplasm. To address this gap, we developed a pipeline that leverages deep learning to define topographic histomorphologic fingerprints of tissue and create Histomic Atlases of Variation Of Cancers (HAVOC). Importantly, using a number of spatially-resolved readouts, including mass-spectrometry-based proteomics and immunohistochemisy, we demonstrate that these personalized atlases of histomic variation can define regional cancer boundaries with distinct biological programs. Using larger tumor specimens, we show that HAVOC can map spatial organization of cancer biodiversity spanning tissue coordinates separated by multiple centimeters. By applying this tool to guide profiling of 19 distinct geographic partitions from 6 high-grade gliomas, HAVOC revealed that distinct states of differentiation can often co-exist and be regionally distributed across individual tumors. Finally,to highlight generalizability, we further benchmark HAVOC on additional tumor types and experimental models of heterogeneity. Together, we establish HAVOC as a versatile and accessible tool to generate small-scale maps of tissue heterogeneity and guide regional deployment of molecular resources to relevant and biodiverse tumor niches.
Project description:gnp3_tri33-arabidoseed. Embryo seed development. WP3: Biodiversity of seed traits: state-of-the-art. Analysis of the expression of small RNAs precursors in the seed development of Arabidopsis thaliana.
Project description:gnp3_tri33-arabidoseed - seed development - WP3 : Biodiversity of seed traits : state of the art - This experiment is a time course performed to choose the best harvesting point to maximise the number of detectable transcripts (8, 10, 12 and 14 dap). Keywords: time course
Project description:gnp3_tri33-arabidoseed - seed specific genes - WP3 : Biodiversity of seed traits : state of the art - This experiment aimed to identify the genes expressed in the seeds vs siliques (easiest to harvest), and to know if the expression pattern of the whole silique could provide a valuable information. Keywords: organ comparison