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Embryonic stem cells (ESCs) possess a unique chromatin landscape in which 'bivalent' domains of trimethylated histone H3 Lys4 (H3K4me3) and Lys27 (H3K27me3) mark key lineage-specific genes. A new study now reports the identification of Mll2 (KMT2b) as the enzyme responsible for implementing H3K4me3 on bivalently marked promoters in ESCs.

Colloidal self-assembly at liquid interfaces has important emulsion applications, for food, household or personal care products, and drug encapsulation. Here, the authors develop a method of forming patchy heterogeneous capsules by electro-coalescence of multiple liquid drops.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Multifunctional S100 proteins are upregulated in brain injury, but their role in neurodegeneration is not clear. Dmytriyeva and colleagues study in vivomodels of brain trauma and find that the S100A4 protein and its peptide mimetics protect neurons via the interleukin-10 receptor and the Janus kinase (JAK)/STAT pathway.

Reduced representation bisulphite sequencing is used to generate genome-scale DNA methylation maps in mouse gametes and several stages of early, pre-implantation embryogenesis, allowing a base-pair resolution timeline of the changes in DNA methylation during developmental transitions.

Reduced-representation bisulfite sequencing, optimized for DNA amounts as low as 30 nanograms and robust enough to process DNA extracted from formalin-fixed, paraffin-embedded tissue, allows genome-scale mapping of DNA methylation in many samples.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

The conductance across single-molecule junctions is highly dependent on the electronic properties of the molecule in question. Here the authors use this fact to monitor a photo-thermal reaction by analysing break junction data, and observe significant differences compared to solution state behaviour.

The self-assembly of colloidal structures at liquid interfaces finds immediate application in industry, such as food and drug encapsulations. Dommersnes et al. develop a technique to manipulate the distribution of colloidal particles adsorbed on drop surfaces under an applied electric field.

The creation of energetic electrons through plasmon excitation has implications in optical energy conversion and ultrafast nanophotonics. Here, the authors find evidence for three subpopulations of nonthermal carriers which arise from anisotropic electron-electron scattering near the Fermi surface.

This study describes the integrative analysis of 111 reference human epigenomes, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression; the results annotate candidate regulatory elements in diverse tissues and cell types, their candidate regulators, and the set of human traits for which they show genetic variant enrichment, providing a resource for interpreting the molecular basis of human disease.

Genome-wide association analyses of migraine and its subtypes identify new susceptibility loci, including rare variants with large effects implicating PRRT2, SCN11A and KCNK5.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

A genomic analysis of the reprogramming of murine fibroblasts and B lymphocytes was performed. It is shown that fully reprogrammed cells display gene expression and epigenetic states that are highly similar to embryonic stem cells. But in stable partially reprogrammed cell lines, there is reactivation of a distinct subset of stem cell-related genes and incomplete repression of lineage-specifying transcription factors.

Single-molecule-based sequencing technology is applied to generate genome-wide maps of chromatin modifications in mammalian cells. Histone marks can discriminate genes that are active, poised for activation, or stably repressed and therefore reflect cell state and developmental potential.

Single-cell gene expression analysis is challenging. This work describes a new droplet-based single cell RNA-seq platform capable of processing tens of thousands of cells across 8 independent samples in minutes, and demonstrates cellular subtypes and host–donor chimerism in transplant patients.

Commitment to different fates by differentiating pluripotent cells depends upon integration of external and internal signals. Here the authors analyse the entry of mouse embryonic stem cells into retinoic acid-mediated differentiation using single cell transcriptomics with high temporal resolution.

6,6,12-graphyne is an intriguing synthetic allotrope of carbon that is predicted to have unique electronic properties but has not been successfully synthesized. Here, the authors prepare a series of radiaannulene oligomers that can be regarded as large segments of this elusive graphyne allotrope.

Femtosecond low-energy electron pulses allow probing ultrafast processes in nanoscale systems with high spatial and temporal resolution. Here, the authors develop a hybrid approach for studying ultrafast electric currents and structural dynamics in low-dimensional systems.

The genome of the grey short-tailed opossum Monodelphis domestica has been sequenced and analyzed, giving a first peek at a marsupial's genetic code. Of particular interest are the genetics of the immune system, which has been studied as a model for humans, and of the X chromosome for historical reasons.

Genome-scale DNA methylation profiles have been generated at nucleotide resolution in mammalian cells using a combination of high-throughput bisulphite sequencing and single molecule-based sequencing. The DNA methylation maps cover the vast majority of CpG islands, as well as several other genomic regions, in murine embryonic stem cells, cells derived from ES cells and various primary cells.

The integrative analysis of epigenetic footprints along consecutive stages of neural progenitors derived from human ES cells reveals regulatory mechanisms that orchestrate stage-specific differentiation.