Linda Kvastad

TL;DR: In this paper , the authors used spatially resolved transcriptomics to infer spatial copy number variations in 120,000 regions across multiple organs, in benign and malignant tissues, and demonstrate that genome-wide copy number variation reveals distinct clonal patterns within tumours and in nearby benign tissue using an organ-wide approach focused on the prostate.

TL;DR: The optimised MLPA system was demonstrated to be highly specific with negligible cross-reactivity allowing the simultaneous detection of the seven mRNA markers, with limits of detections as low as 25pM.

TL;DR: A highly sensitive method for detecting and quantifying a panel of seven genes whose expression patterns are associated with breast cancer, and optimized the method for single cell analysis supports the use of RT-MLPA as a diagnostic tool for cancer genomics.

TL;DR: This work conducted expression profiling and cell type mapping in coronal sections from the mouse brain to demonstrate the method’s capability to delineate anatomical regions from a molecular perspective and explored the spatial composition of transcriptomic signatures in ovarian carcinosarcoma samples using data driven analysis methods.

TL;DR: Surprisingly, it is found that CCL2 mediates anti-fibrotic effects independently of CCR2 in human fibroblasts of different origins.