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Topic: MERFISH

ePoster
2 ePosters
Job
1 job

In Neuroscience and Biology

Map brain cell types and disease-related changes using high-throughput spatial transcriptomics on human tissue. Run MERFISH+ imaging workflows, perform quality control and primary image analysis, organize experiment metadata, maintain instruments and improve protocols in the Brain Health accelerator. The annualized salary range is USD 77,150–94,550. Work is primarily onsite at 615 Westlake Avenue North, Seattle, during weekday business hours.

Job · Neuroscience

Spatial transcriptomics-correlated electron microscopy integrates transcriptional and ultrastructural responses to brain injury

Peter Androvic, Martina Schifferer, Katrin Perez Anderson, Ludovico Cantuti-Castelvetri, Hanyi Jiang, Hao Ji, Lu Liu, Garyfallia Gouna, Stefan Berghoff, Simon Besson-Girard, Johanna Knoferle, Mikael Simons, Ozgun Gokce · FENS Forum 2024

Understanding the complexity of cellular function within a tissue necessitates the combination of multiple phenotypic readouts. Here, we developed a method that links spatially-resolved gene expression of single cells with their ultrastructural morphology by integrating multiplexed error-robust fluorescence in situ hybridization (MERFISH) and large area volume electron microscopy (EM) on adjacent tissue sections. Using this method, we characterized in situ ultrastructural and transcriptional responses of glial cells and infiltrating T-cells after demyelinating brain injury in male mice. We ide

ePoster · Neuroscience

Visualizing the transcriptional landscape with tissue context

Nathalie Agudelo Duenas, Julia Lyudchik, Liana Mukhametshina, Mobina Pournemat, Caroline Kreuzinger, Mojtaba R. Tavakoli, Giulio Abagnale, Julia M. Michalska, Christoph Sommer, Johann G. Danzl · FENS Forum 2024

Biological systems are intrinsically heterogeneous, from the level of molecular arrangements and interactions to whole tissue organization. To understand the complexity of these systems, it is fundamental to study their intricate structure and function in a spatially informed manner. Over the last decade, there has been a rapid advancement in the field of spatial omics, especially at the transcript level measuring gene expression, which has been instrumental in understanding how mRNA distribution and abundance define cell identity and function. This project aims to develop a highly multiplexed

ePoster · Neuroscience