Cellular heterogeneity within and across tumors has been a major obstacle in
understanding and treating cancer, and the complex heterogeneity is masked if bulk tumor …

Single-cell RNA sequencing (scRNA-seq) of tissues has revealed remarkable heterogeneity
of cell types and states but does not provide information on the spatial organization of cells …

Highlights•Tumor-immune CCIs can be investigated using scRNA-seq and ST
strategies.•CCI studies elucidate fundamental mechanisms in disease state.•Open-source …

Individual cancers harbor a set of genetic aberrations that can be informative for identifying
rational therapies currently available or in clinical trials. We implemented a pilot study to …

We live in an era of genomic medicine. The past five years brought about many significant
achievements in the field of cancer genetics, driven by rapidly evolving technologies and …

Advanced and metastatic tumors with complex treatment histories drive cancer mortality.
Here we describe the POG570 cohort, a comprehensive whole-genome, transcriptome and …

Single-cell transcriptomic analysis is widely used to study human tumors. However, it
remains challenging to distinguish normal cell types in the tumor microenvironment from …

Background Intra-tumoral genetic and functional heterogeneity correlates with cancer
clinical prognoses. However, the mechanisms by which intra-tumoral heterogeneity impacts …

Genomic testing enables clinical management to be tailored to individual cancer patients
based on the molecular alterations present within cancer cells. Genomic sequencing results …

Deconvolution of regulatory mechanisms that drive transcriptional programs in cancer cells
is key to understanding tumor biology. Herein, we present matched transcriptome (scRNA …