Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs

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Circular RNAs (circRNAs) are covalently closed back‐splicing products involved in the regulation of different cellular processes, and their dysregulation has been frequently observed in cancer cells. CircCDYL, a circRNA derived from the back‐splicing of CD ...

Telomeres are the nucleoprotein structures at chromosome ends. Telomeres are particularly sensitive to oxidative stress, which can induce telomere damage, shortening, and premature cellular senescence. How oxidative damage influences telomere structure has ...

High-throughput transcriptomics is of increasing fundamental biological and clinical interest. The generation of molecular data from large collections of samples, such as biobanks and drug libraries, is boosting the development of new biomarkers and treatm ...

The synthesis of complex sugars is a key aspect of microbial biology. Cyclic beta-1,2-glucan (C beta G) is a circular polysaccharide critical for host interactions of many bacteria, including major pathogens of humans (Brucella) and plants (Agrobacterium). ...

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Ratz et al. present an easy-to-use method to barcode progenitor cells, enabling profiling of cell phenotypes and clonal relations using single-cell and spatial transcriptomics, providing an integrated approach for understanding brain architecture. ...

Background Multiple pathophysiological processes have been described in Alzheimer's disease (AD). Their inter-individual variations, complex interrelations, and relevance for clinical manifestation and disease progression remain poorly understood. We hypot ...

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Protein–ligand interactions (PLIs) determine the efficacy and safety profiles of small molecule drugs. Existing methods rely on either structural information or resource-intensive computations to predict PLI, casting doubt on whether it is possible to perf ...

The beginning of the 21st century was marked by the advent of disruptive technologies, which ushered an era of groundbreaking advances in fundamental sciences, carried by the great pace at which computational capabilities spread and evolved. But the new ce ...

Analysis of single-cell datasets generated from diverse organisms offers unprecedented opportunities to unravel fundamental evolutionary processes of conservation and diversification of cell types. However, interspecies genomic differences limit the joint ...

Single-cell transcriptomics (scRNA-seq) started a technological revolution in biology by enabling through the plethora of methods to assess a molecular state of the cell on systems level without the strict necessity of the prior knowledge of the cell state ...

Colorectal cancer (CRC) is one of the deadliest cancers worldwide. Despite extensive research in the field, new therapies targeting CRC are in urgent need. CRC is a highly heterogeneous disease with high levels of intra- and inter-patient heterogeneity. Ca ...

Computational studies of metabolism aim to systematically analyze the metabolic behaviour of biological systems in different conditions. Genome-scale metabolic network models (GEMs) capture the connection between elements of the network by applying stoichi ...

Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs

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CircCDYL Association With hnRNPL Modulates CDYL Isoform Switching in Breast Cancer Cells

Oxidative stress at telomeres triggers internal DNA loops, TRF1 dissociation, and TRF2-dependent R-loops

Multi-well plate lid for single-step pooling of 96 samples for high-throughput barcode-based sequencing

Structure-function analysis of the cyclic β-1,2-glucan synthase from Agrobacterium tumefaciens

Rapid Untargeted Puff-by-Puff Analysis of (Electronic) Cigarette Emissions by Concentric Dielectric Barrier Discharge Ionisation Mass Spectrometry

RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer

Unveiling breast cancer metastasis through an advanced X-ray imaging approach

Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics

An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer's disease

Multimodal transcriptomic atlases of mouse spinal cord injury

Controlled Formation of Nanoribbons and Their Heterostructures via Assembly of Mass-Selected Inorganic Ions

Dual proteomics of Drosophila melanogaster hemolymph infected with the heritable endosymbiont Spiroplasma poulsonii

Metabolic and transcriptomic profiles of glioblastoma invasion revealed by comparisons between patients and corresponding orthotopic xenografts in mice

Optimality principles for the analysis of biological processes across scales: From enzyme kinetics to microbiome dynamics

G–PLIP: Knowledge graph neural network for structure-free protein–ligand bioactivity prediction

New and improved methods for integrated models of metabolism and gene expression

Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

Developing new tools to study and program cell fate at the single-cell level

Intestinal stem cells differentiation and its application in cancer therapy

Optimization methods and objective functions for analysis of metabolic network models