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NE*, Wang G* et al. Enhancing transcription replication conflict targets ecDNA-positive cancers. Nature 635, 210-218 (2024). PMID: 39506153 Wang G, et al. Spatial organization of the transcriptome in
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in size and scientific scope. The position will also support additional collaborative projects involving single-cell RNA sequencing, spatial transcriptomics, and other emerging multi-omic technologies
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the 36 months immediately before the March 1st, 2027. Experience and knowledge: Required: Experience with next-generation sequencing, molecular diagnostics and/or transcriptomic, proteomic or metabolomic
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that leverage the immunosuppressive properties of Tregs. The successful candidate will provide lab-based functional validation of scRNA-seq and spatial transcriptomic findings, translating these into clinically
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tumor microenvironment (TME). Lead the analysis and biological interpretation of single-cell RNA sequencing (scRNA-seq) data and integrate genomic, transcriptomic, and clinical datasets to address complex
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focuses on transcriptomic approaches to study RNP assembly and its defects in disease. The Research Fellow will work on transcriptomic studies of protein-RNA interactions, including the development of new
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 2 months ago
bioinformatics workflows in Python for the analysis of transcriptomic, proteomic, single-cell transcriptomic, and interactome datasets. Design and implement Big Data and machine learning approaches using Python, R
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well as the analysis of diverse multiomic data types (genomics, epigenomics, transcriptomics) towards identification of biomarkers of neurogenetic disease. The appointee will also be involved in teaching and training
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disease, liver-gut interactions, metabolic syndrome, and microbiome-based therapeutic approaches. Proficiency in flow cytometry, single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, epigenetic
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based on cell biology including live confocal microscopy, molecular biology and transcriptomics. Your profile Applicants require a doctoral degree in molecular, cell or developmental biology, or related