In the biological sciences, model organisms have been used for many decades and have enabled the gathering of a large proportion of our present day knowledge of basic biological processes and their derailments in disease. Although in many of these studies using model organisms, the focus has primarily been on genetics and genomics approaches, it is important that methods become available to extend this to the relevant protein level. Mass spectrometry-based proteomics is increasingly becoming the standard to comprehensively analyze proteomes. An important transition has been made recently by moving from charting static proteomes to monitoring their dynamics by simultaneously quantifying multiple proteins obtained from differently treated samples. Especially the labeling with stable isotopes has proved an effective means to accurately determine differential expression levels of proteins. Among these, metabolic incorporation of stable isotopes in vivo in whole organisms is one of the favored strategies. In this perspective, we will focus on methodologies to stable isotope label a variety of model organisms in vivo, ranging from relatively simple organisms such as bacteria and yeast to Caenorhabditis elegans, Drosophila, and Arabidopsis up to mammals such as rats and mice. We also summarize how this has opened up ways to investigate biological processes at the protein level in health and disease, revealing conservation and variation across the evolutionary tree of life.

B cells play an essential role in the immune response. Upon activation they may differentiate into plasma cells that secrete specific antibodies against potentially pathogenic non-self antigens. To identify the cellular proteins that are important for efficient production of these antibodies we set out to study the B cell differentiation process at the proteome level. We performed an in-depth proteomic study to quantify dynamic relative protein expression patterns of several hundreds of proteins at five consecutive time points after lipopolysaccharide-induced activation of B lymphocytes. The proteome analysis was performed using a combination of stable isotope labeling using [¹³C₆]leucine added to the murine B cell cultures, one-dimensional gel electrophoresis, and LC-MS/MS. In this study we identified 1,001 B cell proteins. We were able to quantify the expression levels of a quarter of all identified proteins (i.e. 234) at each of the five different time points. Nearly all proteins revealed changes in expression patterns. The quantitative dataset was further analyzed using an unbiased clustering method. Based on their expression profiles, we grouped the entire set of 234 quantified proteins into a limited number of 12 distinct clusters. Functionally related proteins showed a strong correlation in their temporal expression profiles. The quality of the quantitative data allowed us to even identify subclusters within functionally related classes of proteins such as in the endoplasmic reticulum proteins that are involved in antibody production.

The dicistrovirus intergenic region internal ribosome entry site (IRES) utilizes a unique mechanism, involving P-site tRNA mimicry, to directly assemble 80S ribosomes and initiate translation at a specific non-AUG codon in the ribosomal A site. A subgroup of dicistrovirus genomes contains an additional stem-loop 5′-adjacent to the IRES and a short open reading frame (ORFx) that overlaps the viral structural polyprotein ORF (ORF2) in the +1 reading frame. Using mass spectrometry and extensive mutagenesis, we show that, besides directing ORF2 translation, the Israeli acute paralysis dicistrovirus IRES also directs ORFx translation. The latter is mediated by a U∶G base pair adjacent to the P-site tRNA-mimicking domain. An ORFx peptide was detected in virus-infected honey bees by multiple reaction monitoring mass spectrometry. Finally, the 5′ stem-loop increases IRES activity and may couple translation of the two major ORFs of the virus. This study reveals a novel viral strategy in which a tRNA-like IRES directs precise, initiator Met-tRNA-independent translation of two overlapping ORFs.