Data / Fecha: 2018ko maiatzak 18 / 18 de mayo de 2018
Ordua / Hora: 13:30.
Lekua / Lugar: Biodonostia OIIko Prestakuntza Aretoan, 3.Solairua. / IIS Biodonostia, Sala de Formación, Planta 3.
Hizlaria / Ponente: Dr. Holger Heyn– Team Leader Single Cell Genomics Group. National Centre for Genomic Analysis,
Centre for Genomic Regulation (CNAG-CRG).
Antolatzaileak / Organizadores: Ander Izeta – Unidad de Ingeniería Tisular y Marcos Arauzo – Unidad de Biología computacional y Biomedicina de Sistemas del IIS Biodonostia.
Laburpena / Resumen:
Single-cell RNA sequencing (scRNAseq) is at the forefront of techniques to chart molecular properties of individual cells. Recent methods are scalable to thousands of cells, enabling an unbiased sampling and in-depth characterization without prior knowledge. Consequently, studies aim to produce comprehensive cellular atlases of tissues, organs and organisms. We implemented high-throughput scRNAseq processes for different protocols (MARS-seq, Smart-seq2, Seq-well, Chromium) with >50,000 single cells sequenced and analyzed to date. We are joining computational, statistical and biological knowledge in order to determine best practices in single-cell research and to relate genome activity to cellular phenotypes. A systematic comparison of different scRNAseq protocols pointed to large differences in sensitivity of molecule capture, with a high degree of accuracy across the methods. We critically enlarged the scope of such methods by establishing cryopreservation as suitable method for sample transfer and clinical archiving.
We applied single-cell transcriptome analysis for cellular phenotyping to resolved heterogeneity during developmental processes, complex tissues or tumor evolution. To address the challenges of future large scRNAseq data sets, we developed an analytical framework for the sensitive detection of population markers and differentially expressed genes, being scalable to analyze millions of single cells. Analyzing 1.3 million cells from the mouse developing forebrain, we identified rare populations of neurons, for which we determined a previously not recognized heterogeneity associated to distinct differentiation stages, spatial organization and cellular function.