Many research questions in fields such as personalized medicine, drug screens or systems
biology depend on obtaining consistent and quantitatively accurate proteomics data from …

Multi-omics data analysis is an important aspect of cancer molecular biology studies and
has led to ground-breaking discoveries. Many efforts have been made to develop machine …

Exosomes and other small extracellular vesicles (sEVs) provide a unique mode of cell-to-
cell communication in which microRNAs (miRNAs) produced and released from one cell are …

We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural
networks and new quantification and signal correction strategies for the processing of data …

The senescence-associated secretory phenotype (SASP) has recently emerged as a driver
of and promising therapeutic target for multiple age-related conditions, ranging from …

Most cancers exhibit aneuploidy, but its functional significance in tumor development is
controversial. Here, we describe ReDACT (Restoring Disomy in Aneuploid cells using …

Abstract Characterization and integration of the genome, epigenome, transcriptome,
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …

Cancer biomarkers have transformed current practices in the oncology clinic. Continued
discovery and validation are crucial for improving early diagnosis, risk stratification, and …

Data-independent acquisition mass spectrometry (DIA-MS) is a next generation proteomic
methodology that generates permanent digital proteome maps offering highly reproducible …

The data‐independent acquisition mass spectrometry (DIA‐MS) has rapidly evolved as a
powerful alternative for highly reproducible proteome profiling with a unique strength of …