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Simon Hettrick tells Julie Gould about the role of research software engineers, what they do and how you can become one.

Ferroptosis is a form of programmed immunogenic cell death (ICD) that has gained increasing attention in cancer immunotherapy. In this study, we present dendritic cell vaccines loaded with ferroptotic tumor lysates to enhance antitumoral immune response in glioma models.

Learning how to code brings career benefits and helps science by aiding reproducibility, Julie Gould discovers.

Global analysis of obesity trends from 1980 to 2024 in 200 countries and territories using data from 4,050 population-based studies reveals that framing obesity as a single global epidemic masks the highly varied dynamics across countries and age groups.

Precipitation distribution shows distinct spatial changes, with intensifications in Northern Europe and strong decrease in the Mediterranean, revealed by high-resolution climate model simulations.

In a randomized trial enrolling 354 patients with heterozygous familial hypercholesterolemia on maximally tolerated lipid-lowering therapy, treatment with the cholesteryl ester transfer protein inhibitor obicetrapib was well tolerated and significantly lowered low-density lipoprotein cholesterol by 36.3% as compared to placebo.

The study identifies novel genetic variants linked to core cerebrospinal fluid Alzheimer’s Disease biomarkers using a genome-wide analysis, showing how endophenotypes can identify genes and disease mechanisms not captured by case-control studies.

Snyder et al. analyze two population-based birth cohorts to test associations of newborn metabolite concentrations and childhood respiratory outcomes. C4, C10:1, C18:2, and citrulline are associated with early-life wheezing and asthma, with C18:2 specifically associated with increased non-allergic asthma risk.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

This resource leverages spatial and single-cell transcriptomics to investigate lncRNAs in cancer and reports 94,795 previously unannotated lncRNAs and new approaches to infer their functions.

Analyses of snRNA genes in a French cohort of people with rare disorders, with validation through international collaboration, identify monoallelic and biallelic variants in RNU2-2 as frequent causes of neurodevelopmental disorders with epilepsy.

A new cerebrospinal fluid biomarker, AcTau174, was elevated in frontotemporal lobar degeneration with TAR DNA-binding protein (FTLD-TDP), distinguishing this pathology from FTLD-Tau, and was associated with disease severity and progression in FTLD-TDP.

Global research prioritization for peatland science engaged 467 participants from 54 countries, identifying 50 priority research questions across carbon dynamics, climate impacts, restoration and management, technological innovation, and community and policy engagement.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

In this article, the authors characterise genetic variation in CARTaGENE, a population-based cohort from Quebec, Canada. This genomic resource enables population and disease genetic studies in a founder population and other under-represented groups.

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.

CDK4/6 inhibitors are promising treatments for ER+ breast cancer, however resistance remains a challenge. Here, the authors analyse the NeoPalANA cohort and indicate that a 33 gene signature was predictive of response to neoadjuvant anastrozole and palbociclib.

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.

Data from 12,608 pregnancies across 7 African countries and a simulation model suggest that the total number of malaria-exposed pregnancies across sub-Saharan Africa exceeded 13 million in 2023, and that current prevention measures avoided more than 2 million malaria-related anaemia cases.

A combination of rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) is a commonly used regimen for patients with Richter transformation (RT), an aggressive lymphoma with a poor prognosis. Here the authors report the results of a phase 2 clinical trial of blinatumomab (an anti-CD3/anti-CD19 bispecific T-cell-engager) after R-CHOP bridging therapy for patients with RT.

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.

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.

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.

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.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

A global research network monitoring the Amazon for 30 years reports in this study that tree size increased by 3% each decade.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.