Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
A comprehensive single-cell analysis of the lung cancer microenvironment reveals marked heterogeneity of transcriptional networks that defines novel clinically relevant stromal cell populations.
An integrated resource of (epi)genomic features in annotated chronic lymphocytic leukemia (CLL) primary samples uncovers subgroup-specific regulatory alterations associated with clinical behavior.
Comprehensive integration of mutational and structural alterations in clinically-annotated DLBCL patient samples provides a novel molecular classification of the disease.
A comprehensive molecular analysis of almost 1,000 pediatric subjects with acute myeloid leukemia (AML) uncovers widespread differences in pediatric AML as compared to adult AML, including a higher frequency of structural variants and different mutational patterns and epigenetic signatures. Future studies are needed to characterize the functional relevance of these alterations and to explore age-tailored therapies to improve disease control in younger patients.
Brain-region-specific RNA-seq from humans with major depressive disorder reveals unique transcriptomic profiles in males and females, with little overlap.
DNA methylation sequencing and bioinformatic analyses uncover an epigenetic disease spectrum in Ewing sarcoma. These characteristic epigenome patterns correlate with state of differentiation and disease aggressiveness, and pave the way for the development of biomarkers.
A systematic analysis reveals some genetic variation underpinning the heterogeneity in pathogen-induced cytokine production by blood cells from a cohort of healthy individuals.
Understanding tumor metastasis is crucial to developing more effective cancer therapies. Here McCreery et al. analyzed the mutational profile of metastases from chemically induced skin tumors in mice and found that parallel evolution of synchronously disseminated tumor cells underlies most metastasis.
A searchable pan-cancer resource generated using data from nearly 18,000 human tumors reveals links between tumor infiltration by particular leukocyte subsets, tumor expression of particular gene signatures, and patient prognosis.
By implementing the conditions for orthotopic implantation of different types of human breast tumors, the authors have created a publicly available bank of new mouse models that more faithfully recreate individual tumor properties and provide individualized information about tumor behavior and prognosis.
