Search

TREM2 is an important AD risk factor playing essential roles in the microglial response to amyloid pathology. Here, authors show using a TREM2 reporter mouse that TREM2 levels are critical for efficacy of TREM2 agonism informing current clinical efforts.

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.

Variants in the PSMC5 gene impair proteasome function and cellular homeostasis, altering brain development in children. This study reveals underlying molecular mechanisms contributing to this neurodevelopmental phenotype, and suggests therapeutic leads for neurodevelopmental proteasomopathies.

Ventures focusing on drug testing or therapies against rare disease, cancer, gastrointestinal disease, fibrosis and pain are among those selected by the editors in 2014's crop of startups.

Nature Biotechnology’s annual survey highlights academic start ups that are, among other things, correcting misfolded or disordered proteins, creating second-generation GPCR agonists, building a new gene delivery platform and mining cancer genomes for novel targets.

In vivo experiments and clinical cohort analyses show that hypoxia-inducible factor 2 (HIF2)-induced parathyroid hormone-related protein (PTHrP) expression contributes to cachexia in the context of renal cell carcinoma (RCC). The pathway can be targeted by HIF2 inhibitors, including belzutifan, which may reduce cachexia in patients with RCC.

In this work, researchers address a key question for maternal group B Streptococcus (GBS) vaccine assessment: What newborn antibody concentrations protect against invasive infant GBS disease? They present serologic thresholds by age at onset and serotype based on a large U.S. case-control study.

The cool sub-Neptune LP 791-18 c, with an equilibrium temperature of 355 K, was found to host a hazy atmosphere, distinct from any other temperate sub-Neptune studied so far. The discovery demonstrates the intrinsic diversity of these worlds.

In the double-blind, placebo-controlled phase 2 ARGO trial, patients with active psoriatic arthritis treated with a nanobody targeting IL-17A and IL-17F showed substantially better disease response rates compared with those receiving placebo treatment.

A connectome of the right optic lobe from a male fruitfly is presented together with an extensive collection of genetic drivers matched to a comprehensive neuron-type catalogue.

Single-cell transcriptomic and proteomic data from synovial tissue from individuals with rheumatoid arthritis classify patients into groups based on abundance of cell states that can provide insights into pathology and predict individual treatment responses.

Sequencing data from the developing cerebellum are compared with bulk sequencing data from paediatric tumours, providing insights into their potential origins and suggesting that many cerebellar tumours have their origins early in utero.

The A3 adenosine receptor is a promising drug target for cancer, inflammation, and glaucoma. Here, authors determine atomic structures of the human A3 receptor, identifying a previously hidden binding pocket that will aid in the development of more effective A3 receptor-targeted medicines.

This report from the 1000 Genomes Project describes the genomes of 1,092 individuals from 14 human populations, providing a resource for common and low-frequency variant analysis in individuals from diverse populations; hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites, can be found in each individual.

Genomic and phenomic screens of 827 wheat landraces from the A. E. Watkins collection provide insight into the wheat population genetic background, unlocking many agronomic traits and revealing haplotypes that could potentially be used to improve modern wheat cultivars.

Nature Biotechnology talks to some of the leading characters behind the Genentech legend.

A genome-wide association study meta-analysis combined with multiomics data of osteoarthritis identifies 700 effector genes as well as biological processes with a convergent involvement of multiple effector genes; 10% of these genes express the target of approved drugs.

Data collected from more than 2,000 taxa provide an unparalleled opportunity to quantify how extreme wildfires affect biodiversity, revealing that the largest effects on plants and animals were in areas with frequent or recent past fires and within extensively burnt areas.

Genotype and exome sequencing of 150,000 participants and whole-genome sequencing of 9,950 selected individuals recruited into the Mexico City Prospective Study constitute a valuable, publicly available resource of non-European sequencing data.

A study finds that a protease called granzyme K can activate the entire complement cascade, explaining how it can drive destructive inflammation in inflammatory diseases such as rheumatoid arthritis.

Activated B cells and T cells accumulate within joints of patients with rheumatoid arthritis. Here, the authors use single-cell transcriptome and repertoire profiling to identify clonally expanded synovial B cells and T cells and define their phenotypes and predicted cell-cell interactions.

Openshaw and colleagues find myeloid inflammation and complement activation signatures in patients with long COVID who were previously hospitalized.

A study of the evolution of the SARS-CoV-2 virus in England between September 2020 and June 2021 finds that interventions capable of containing previous variants were insufficient to stop the more transmissible Alpha and Delta variants.

SCENT is a nonparametric method that models association between chromatin accessibility and gene expression in single-cell multimodal datasets, enabling construction of cell-type-specific enhancer–gene maps to aid mapping of candidate causal variants and genes for common diseases.

Metformin may serve as a non-toxic intervention to inhibit mitochondrial metabolism and slow DNMT3A-R882 clonal haematopoiesis expansion, thus delaying or averting progression to acute myeloid leukaemia.

This paper describes a framework for classifying small insertions and deletions from genomic data and applies it to a large dataset comprising seven tumor types. The analysis highlights new insertion and deletion signatures and a classifier of postreplicative repair dysfunction.

Fibroblasts play critical roles in tissue homeostasis, but in pathologic states they can drive fibrosis, inflammation, and tissue destruction. Here, Faust et al. find that healthy human synovial fibroblasts under the influence of adjacent adipocytes have altered lipid metabolism driven by cortisol signaling. Both adipocytes and these characteristics are lost in inflammatory arthritis.

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.

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.