A5014292279- Advanced Image and Video Retrieval Techniques
- Machine Learning and Data Classification
- Single-cell and spatial transcriptomics
- Cancer Genomics and Diagnostics
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Cell Image Analysis Techniques
- Microbial Metabolic Engineering and Bioproduction
- Plant and animal studies
- Lymphoma Diagnosis and Treatment
- Bioinformatics and Genomic Networks
- Cultural Insights and Digital Impacts
- RNA and protein synthesis mechanisms
- Immune cells in cancer
- Ubiquitin and proteasome pathways
- Atherosclerosis and Cardiovascular Diseases
- Protein Degradation and Inhibitors
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Histone Deacetylase Inhibitors Research
- Semantic Web and Ontologies
- Extracellular vesicles in disease
- Platelet Disorders and Treatments
- Diverse Cultural and Historical Studies
Roche (Switzerland)
2019-2024
Abstract The consensus molecular subtypes (CMS) of colorectal cancer (CRC) is the most widely-used gene expression-based classification and has contributed to a better understanding disease heterogeneity prognosis. Nevertheless, CMS intratumoral restricts its clinical application, stressing necessity further characterizing composition architecture CRC. Here, we used Spatial Transcriptomics (ST) in combination with single-cell RNA sequencing (scRNA-seq) decipher spatially resolved cellular In...
Proteolysis targeting chimeras are bifunctional small molecules capable of recruiting a target protein interest to an E3 ubiquitin ligase that facilitates ubiquitination followed by proteasome-mediated degradation. The first acting on this novel therapeutic paradigm have just entered clinical testing. Here, using Bromodomain Containing 4 (BRD4) degraders engaging cereblon and Von Hippel-Lindau ligases, we investigated key determinants resistance new mode action. A loss-of-function screen for...
Single-cell RNA sequencing (scRNA-seq) revolutionized our understanding of disease biology. The promise it presents to also transform translational research requires highly standardized and robust software workflows. Here, we present the toolkit Besca, which streamlines scRNA-seq analyses their use deconvolute bulk RNA-seq data according current best practices. Beyond a standard workflow covering quality control, filtering, clustering, two complementary Besca modules, utilizing hierarchical...
Abstract The heterogeneity of colorectal cancer (CRC) contributes to substantial differences in patient response standard therapies. consensus molecular subtypes (CMS) CRC is the most widely-used gene expression-based classification and has contributed a better understanding disease prognosis. Nevertheless, CMS intratumoral restricts its clinical application, stressing necessity further characterizing composition architecture CRC. Here, we used Spatial Transcriptomics (ST) combination with...
Vanucizumab is a novel bispecific antibody inhibiting vascular endothelial growth factor (VEGF-A) and angiopoietin-2 (Ang-2) that demonstrated safety anti-tumor activity in part I of phase study 42 patients with advanced solid tumors. Part II evaluated the pharmacodynamic effects vanucizumab 30 or 15 mg/kg every 2 weeks 32 patients. Serial plasma samples, paired tumor, skin-wound-healing biopsies were taken over 29 days to evaluate angiogenic markers. was associated marked post-infusion...
Abstract Single-cell RNA sequencing (scRNA-seq) revolutionised our understanding of disease biology and presented the promise transforming translational research. We developed Besca , a toolkit that streamlines scRNA-seq analyses according to current best practices. A standard workflow covers quality control, filtering, clustering. Two complementary modules, utilizing hierarchical cell signatures or supervised machine learning, automate annotation provide harmonised nomenclatures across...
Motivation: The increasing availability of metabolomic data and their analysis are improving the understanding cellular mechanisms how biological systems respond to different perturbations. Currently, there is a need for novel computational methods that facilitate integration volume available data. Results: In this paper, we present Totoro new constraint-based approach integrates quantitative non-targeted two metabolic states into genome-wide models predicts reactions were most likely active...