Antibody-drug conjugates (ADCs) are one of the fastest growing classes of oncology therapeutics. After half a century of research, the approvals of brentuximab vedotin (in 2011) and trastuzumab emtansine (in 2013) have paved the way for ongoing clinical trials that are evaluating more than 60 further ADC candidates. The limited success of first-generation ADCs (developed in the early 2000s) informed strategies to bring second-generation ADCs to the market, which have higher levels of cytotoxic drug conjugation, lower levels of naked antibodies and more-stable linkers between the drug and the antibody. Furthermore, lessons learned during the past decade are now being used in the development of third-generation ADCs. In this Review, we discuss strategies to select the best target antigens as well as suitable cytotoxic drugs; the design of optimized linkers; the discovery of bioorthogonal conjugation chemistries; and toxicity issues. The selection and engineering of antibodies for site-specific drug conjugation, which will result in higher homogeneity and increased stability, as well as the quest for new conjugation chemistries and mechanisms of action, are priorities in ADC research.

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Self-renewing tissue-resident macrophages are thought to be exclusively derived from embryonic progenitors. However, whether circulating monocytes can also give rise to such macrophages has not been formally investigated. Here we use a new model of diphtheria toxin-mediated depletion of liver-resident Kupffer cells to generate niche availability and show that circulating monocytes engraft in the liver, gradually adopt the transcriptional profile of their depleted counterparts and become long-lived self-renewing cells. Underlining the physiological relevance of our findings, circulating monocytes also contribute to the expanding pool of macrophages in the liver shortly after birth, when macrophage niches become available during normal organ growth. Thus, like embryonic precursors, monocytes can and do give rise to self-renewing tissue-resident macrophages if the niche is available to them.

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The rapid growth of approved biotherapeutics, e.g., monoclonal antibodies or immunoglobulins G (IgGs), demands improved techniques for their quality control. Traditionally, proteolysis-based bottom-up mass spectrometry (MS) has been employed. However, the long, multistep sample preparation protocols required for bottom-up MS are known to potentially introduce artifacts in the original sample. For this reason, a top-down MS approach would be preferable. The current performance of top-down MS of intact monoclonal IgGs, though, enables reaching only up to ∼30% sequence coverage, with incomplete sequencing of the complementarity determining regions which are fundamental for IgG's antigen binding. Here, we describe a middle-down MS protocol based on the use of immunoglobulin G-degrading enzyme of Streptococcus pyogenes (IdeS), which is capable of digesting IgGs in only 30 min. After chemical reduction, the obtained ∼25 kDa proteolytic fragments were analyzed by reversed phase liquid chromatography (LC) coupled online with an electron transfer dissociation (ETD)-enabled hybrid Orbitrap Fourier transform mass spectrometer (Orbitrap Elite FTMS). Upon optimization of ETD and product ion transfer parameters, results show that up to ∼50% sequence coverage for selected IgG fragments is reached in a single LC run and up to ∼70% when data obtained by distinct LC-MS runs are averaged. Importantly, we demonstrate the potential of this middle-down approach in the identification of oxidized methionine residues. The described approach shows a particular potential for the analysis of IgG mixtures.

This Feature will introduce the strategies of therapeutic antibodies (mAbs) in-depth characterization by mass spectrometry (MS) and discuss analytical comparison of biosimilar to originator mAbs, with the cases of trastuzumab and cetuximab. In addition, the structural and functional insights gained both by state-of-the art and emerging MS methods used for biobetters and next generation antibodies design and optimization will also be highlighted.