The rising interest for precise characterization of the tumour immune contexture has recently
brought forward the high potential of RNA sequencing (RNA-seq) in identifying molecular …

Patient-based cancer models are essential tools for studying tumor biology and for the
assessment of drug responses in a translational context. We report the establishment a large …

Advanced sequencing technologies such as RNASeq provide the means for production of
massive amounts of data, including transcriptome-wide expression levels of coding RNAs …

Small extracellular vesicle (sEV, or exosome) communication among cells in the tumor
microenvironment has been modeled mainly in cell culture, whereas their relevance in …

Early-life adversity covers a range of physical, social and environmental stressors. Acute
viral infections in early life are a major source of such adversity and have been associated …

Public gene expression databases are a rapidly expanding resource of organism responses
to diverse perturbations, presenting both an opportunity and a challenge for bioinformatics …

Pancreatic ductal adenocarcinoma (PDAC), has recently been found to be a heterogeneous
disease, although the extension of its diversity remains to be fully understood. Here, we …

We are firmly in the era of biological big data. Millions of omics datasets are publicly
accessible and can be employed to support scientific research or build a holistic view of an …

DNA methylation profiling offers unique insights into human development and diseases.
Often the analysis of complex tissues and cell mixtures is the only feasible option to study …

Tumor microenvironment is a network of complex cellular and molecular systems where
cells will gain specific phenotypes and specific functions that would drive tumorigenesis. In …