journal article·2021-06

Spatial Genomics: Mapping Spatial Genetic Landscapes in Tissue Sections through Microscale Integration of Sampling Methodology into Genomic Workflows (Small 23/2021)

Lena Voith von Voithenberg, Aditya Kashyap, Lennart Opitz, Catharine Aquino, Timothy Sykes, Maike Nieser, Lorenzo F. T. Petrini, Nadia Enrriquez Casimiro, Xander F. van Kooten, Saskia Biskup, Ralph Schlapbach, Peter Schraml, Govind V. Kaigala

Small· Volume 17· Issue 23
Publisher page

Abstract

The GeneScape workflow, presented in article number 2007901 by Govind V. Kaigala and co-workers, uses a modular multipurpose microfluidic probe to facilitate evaluation of spatial genomic heterogeneity in tumors. Cancer cells essentially contain the same genomic blueprint but accumulate distinct corruptions at different spatial and temporal coordinates. Since these cells reside in several interacting ecosystems, it becomes very critical to study the spatial mutational landscape to evaluate and quantify tumor progression.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Molecular Biology Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

IBM Research Europe Säumerstrasse 4 Rüschlikon CH‐8803 Switzerland

Functional Genomics Center Zurich Winterthurerstr. 190 Zurich CH‐8057 Switzerland

Center for Genomics and Transcriptomics Paul‐Ehrlich‐Str. 23 72076 Tübingen Germany

Department of Pathology and Molecular Pathology University Hospital Zurich Schmelzbergstr. 12 Zurich CH‐8091 Switzerland

References

Reference metadata was not supplied for this record.