Data mining articles from across Nature Portfolio

C-to-T mutations in CpG dinucleotides are widespread in cancers and are also observed in normal cells. By developing and using a technique to quantify DNA polymerase errors (polymerase error rate sequencing, PER-seq), we reveal that C-to-T mutations in CpG dinucleotides constitute part of the error signature of both wild-type and mutant cancer-associated DNA polymerase ε.

The hypothalamus plays an important role in aging. Here, the authors show that hypothalamic oxytocin and GnRH are involved in age-related DNA methylation changes, and that treatment combination of these two peptides improved Alzheimer’s disease-like pathology in male mice.

Human microbes biosynthesize functional metabolites to influence human health. Here, the authors link the biosynthesis of microbial sulfonolipids (SoLs) to inflammatory bowel diseases, and reveal that SoLs block LPS binding to TLR4, suppressing LPS-induced inflammation.

C-to-T mutations in CpG dinucleotides are widespread in cancers and are also observed in normal cells. By developing and using a technique to quantify DNA polymerase errors (polymerase error rate sequencing, PER-seq), we reveal that C-to-T mutations in CpG dinucleotides constitute part of the error signature of both wild-type and mutant cancer-associated DNA polymerase ε.

We present the Brain Cell Atlas, integrating single-cell transcriptomes of 26 million cells from 70 human and 103 mouse studies, covering 14 major brain regions. This atlas takes advantage of the integration of big data, enabling the discovery of putative neural progenitors in adults and microglial regional variations.

A new analysis of clinical trials that were stopped early generates insights on the role of genetics in drug development and provides a new resource for researchers aiming to improve success rates of clinical trials.

CASTLE, a deep learning approach, extracts interpretable discrete representations from single-cell chromatin accessibility data, enabling accurate cell type identification, effective data integration, and quantitative insights into gene regulatory mechanisms.

Cryptic halogenation reactions result in natural products with diverse structural motifs and bioactivities. However, these halogenated species are difficult to detect with current analytical methods because the final products are often not halogenated. An approach to identify products of cryptic halogenation using halide depletion has now been discovered, opening up space for more effective natural product discovery.