Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and
metabolomics sequencing, is a powerful tool to decipher the cellular and molecular …

Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of
complex tissues at single-cell levels, can identify differential gene expression and epigenetic …

Biological heterogeneity in diffuse large B cell lymphoma (DLBCL) is partly driven by cell-of-
origin subtypes and associated genomic lesions, but also by diverse cell types and cell …

During adaptive immunity, B cells differentiate either into memory B cells or plasma cells and
produce antibodies against foreign antigens to fight infection. Additionally, they behave as …

CIBERSORTx is a suite of machine learning tools for the assessment of cellular abundance
and cell type-specific gene expression patterns from bulk tissue transcriptome profiles. With …

Cancers are a group of heterogeneous diseases characterized by the acquisition of
functional capabilities during the transition from a normal to a neoplastic state. Powerful …

Single-cell RNA sequencing has enabled the decomposition of complex tissues into
functionally distinct cell types. Often, investigators wish to assign cells to cell types through …

Purpose: The tumor microenvironment (TME) consists of a heterogenous cellular milieu that
can influence cancer cell behavior. Its characteristics have an impact on treatments such as …

Follicular lymphoma (FL) is a systemic neoplasm of the lymphoid tissue displaying germinal
centre (GC) B cell differentiation. FL represents~ 5% of all haematological neoplasms and …

The activities of non-haematopoietic cells (NHCs), including mesenchymal stromal cells and
endothelial cells, in lymphomas are reported to underlie lymphomagenesis. However, our …