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There are enormous amounts of biological cascades in every cell – the smallest functional compartment of our body [1]. Understanding the mechanisms underlying the vast array of phenomena is not only the key element to finding any clues about fatal diseases such as Alzheimer’s and cancer but also to progress in developing treatment for such […]

In our previous Journal Club blog post, we discussed «nanopore profiling,» a method for identifying proteins within the field of proteomics. Today we proceed with «how to validate the identification statistically other than the traditional target-decoy method with an improved version of the decoy-free approach» based on Dominik et al.’s article «Modeling lower-order statistics to […]

Proteins, the mighty microscopic marvels present in what we eat, hence, what we are. In milkshakes 🥤, ice creams 🍦… your hair, your skin… you 👤. These molecular machines are present in all living things, from viruses to the dog 🐶 that barked at you the other day. They are so essential that they keep […]

Hello and welcome back to another issue of the PROTrEIN Journal Club! This occasion we will cover important topics in proteomics, missing values and imputation. We will try to shed light to some of the challenges regarding these matters with the aid of the article titled: “Mass spectrometry-based proteomics imputation using self supervised deep learning” […]

Proteomics research relies heavily on mass spectrometry, which has emerged as the most prominent and widely utilized approach for the identification of proteins. However, progress is being made in other analytical methods for peptides and proteins. In this month PROTrEIN ITN’s Journal Club, we are taking a glance at the characterization of proteins with nanopores […]

The fields of science and technology have been the engines of progress for many years, driving innovation and shaping the world we live in. Contributing to this scientific knowledge and progress is one of the main aspirations most of us researchers have. However, there is a growing number of studies suggesting that scientific progress is […]

Data-independent acquisition (DIA) proteomics increasingly becomes the method of choice for researchers since it provides better reproducibility, identification rates, and accuracy compared to data-dependent acquisition (DDA). More and more tools are developed for DIA analysis and even established proteomics data processing software now can analyze DIA data. However, analysis of multiplexed spectra, characteristic of DIA, […]