Results 281-290 of about 359
- PREDECT, a European IMI consortium, has assumed the task to generate robust 2D and 3D culture platforms. Protocols established for 2D and 3D monoculture and stromal coculture models of increasing complexity (spheroid, stirred-tank bioreactor,
Date: (2019) Authors: Suzana Vidic , Marta F. Estrada , Kjersti Gjerde , Vítor E. Santo ... Ralph Graeser Ref: Systems Chemical Biology - MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing new windowHuman tissues comprise trillions of cells that populate a complex space of molecular phenotypes and functions and that vary in abundance by 4–9 orders of magnitude. Relying solely on unbiased sampling to characterize cellular niches becomes
Date: (2019) Authors: Hadas Keren-Shaul , Ephraim Kenigsberg , Diego Adhemar Jaitin , Eyal David ... Ido Amit - Barcoded solid-phase RNA capture for SpatialTranscriptomics profiling in mammalian tissue sections new windowSpatial resolution of gene expression enables gene expression events to be pinpointed to a specific location in biological tissue. Spatially resolved gene expression in tissue sections is traditionally analyzed using immunohistochemistry (IHC) or in
Date: (2018) Authors: Fredrik Salmén , Patrik L. Ståhl , Annelie Mollbrink , José Fernández Navarro ... Joakim Lundeberg - Preparation of plant tissue to enable SpatialTranscriptomics profiling using barcoded microarrays new windowElucidation of the complex processes involved in plant growth requires analysis of the spatial gene expression patterns in all affected tissues. This protocol extension is an adaptation of a protocol that describes how to use barcoded oligo-dT
Date: (2018) Authors: Stefania Giacomello , Joakim Lundeberg - It will soon be commonplace to localize gene expression in tissues.
Date: (2018) Authors: Tal Nawy - Global efforts to create a molecular census of the brain using single-cell transcriptomics are producing a large catalog of molecularly defined cell types. However, spatial information is lacking and new methods are needed to map a large number of
Date: (2018) Authors: Simone Codeluppi , Lars E. Borm , Amit Zeisel , Gioele Manno ... Sten Linnarsson - As methods for measuring spatial gene expression at single-cell resolution become available, there is a need for computational analysis strategies. We present trendsceek, a method based on marked point processes that identifies genes with
Date: (2018) Authors: Daniel Edsgärd , Per Johnsson , Rickard Sandberg - The combination of photoactivatable fluorescent markers with single-cell RNA-seq allows transcriptome analysis of cells from specific tissue locations.
Date: (2018) Authors: Irene Jarchum - LCM-Seq: A Method for Spatial Transcriptomic Profiling Using Laser Capture Microdissection Coupled with PolyA-Based RNA ... new windowLCM-seq couples laser capture microdissection of cells from frozen tissues with polyA-based RNA sequencing and is applicable to single neurons. The method utilizes off-the-shelf reagents and direct lysis of the cells without RNA purification, making
Date: (2018) Authors: Susanne Nichterwitz , Julio Aguila Benitez , Rein Hoogstraaten , Qiaolin Deng , Eva Hedlund Ref: RNA Detection - Technological advances have made it possible to measure spatially resolved gene expression at high throughput. However, methods to analyze these data are not established. Here we describe SpatialDE, a statistical test to identify genes with spatial
Date: (2018) Authors: Valentine Svensson , Sarah A Teichmann , Oliver Stegle