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The Human Cell Atlas is yielding detailed maps of human tissues and systems throughout life, along with methods to handle single-cell data. Four scientists reflect on how the project is transforming our understanding of human biology.

MethyLYZR, an epigenetic classifier of brain tumors, provides clinically relevant cancer classification results within 15 min of sequencing, with potential applications for neurosurgical intraoperative use.

An experimental and analytical pipeline is used to assess, at the single-cell level, complex transcriptional and morphological mutant phenotypes that occur in mouse embryos during gastrulation.

The canonical DNA methylation maintenance enzyme Dnmt1 displays global de novo methylation activity with greater targeting towards IAP transposons, which may contribute to their stable repression during early development.

Bernhard Radlwimmer and colleagues report whole-genome bisulfite sequencing of 13 Burkitt lymphomas and nine follicular lymphomas. They find that both types of germinal center B cell lymphomas show global hypomethylation compared to normal germinal center B cell precursors and identify regions of differential methylation that correlate with somatic mutations and differential gene expression.

Mosaic chromosomal alterations (mCAs) in peripheral blood leukocytes are associated with an increased risk of malignancy. Here, the authors use genome-wide genotyping array data to investigate the prevalence of mCAs in sub-Saharan African children with versus those without Burkitt lymphoma.

Here the authors show that active DNA demethylation and transcription factor occupation at distal regulatory elements is essential for pluripotency maintenance in dormancy conditions.

Human pluripotent stem cells can be triggered to self-organize into structures recapitulating early human post-implantation embryonic development.

Slide-seq profiling of mouse embryos at the onset of organogenesis (embryonic days 8.5–9.5) coupled with a new three-dimensional reconstruction and visualization tool (sc3D) provides high-resolution maps of spatiotemporal gene expression dynamics.

A multi-channel molecular recording technique is applied as a lineage tracer to assemble cell-fate maps from fertilization through gastrulation in the mouse, providing insights into ontogeny in a complex multicellular organism.

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.

Weigert et al. show that an antagonistic relationship between DNA methyltransferase and Polycomb activity is globally responsible for the maintenance of intermediate methylation levels observed in trophoblast stem cells.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

A genomic, transcriptomic and epigenomic analysis of chronic lymphocytic leukemia identifies genetic drivers and molecular subtypes associated with clinical outcomes.

TRIM28 depletion in embryonic stem cells disconnects transcriptional condensates from super-enhancers, which is rescued by knockdown of endogenous retroviruses.

Burkitt lymphoma (BL) is the most common pediatric B-cell lymphoma. Here, within the International Cancer Genome Consortium, the authors performed whole genome and transcriptome sequencing of 39 sporadic BL, describing the landscape of mutations, structural variants, and mutational processes that underpin this disease how alterations on different cellular levels cooperate in deregulating key pathways and complexes.

The phenotypic consequence of 3D genome boundary disruption on developmental processes remains insufficiently understood. Here, the authors show that perturbation of a SOX17 boundary in human pluripotent stem cells interferes with proper differentiation and that germline variations affecting such boundaries are subject to selection, resulting in underrepresentation in the human population.

Primary lymphomas of the central nervous system (PCNSL) are defined as diffuse large B-cell lymphomas (DLBCL) confined to the CNS. Here, the authors complete whole genome sequencing and RNA-seq to characterize 51 PCNSLs, and find common mutations in immune pathways and upregulated TERT expression and find distinct pathway differences between DLBCL and other primary CNS lymphomas.

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.

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.

Using genome-wide bisulfite sequencing of acute lymphoblastic leukemia subtypes, cell lines and healthy cells, Hetzel et. al. find that unlike most cancers, ALL has a highly methylated genome, which points to a distinct mode of epigenome regulation in this cancer type.

The circadian clock and the cell cycle systems coordinate global physiology. Here the authors show that MYC represses the clock genes, together with MIZ1, and induces proliferation, suggesting that MYC inversely modulates cell cycle and circadian clock genes.

Expansions of short tandem repeats linked to neuropsychiatric disorders are measured by single-molecule sequencing.

Analyses of genomes from 914 children, adolescents, and young adults provide a comprehensive resource of genomic alterations across a spectrum of common childhood cancers.