This is a PDF file of a peer-reviewed paper that has been accepted for publication. Although unedited, the content has been subjected to preliminary formatting. Nature is providing this early version of the typeset paper as a service to our authors and readers. The text and figures will undergo copyediting and a proof review before the paper is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers apply.

We have generated a panel of mAbs that identify three presumably novel human dendritic cell Ags: BDCA-2, BDCA-3, and BDCA-4. In blood, BDCA-2 and BDCA-4 are expressed on CD11c− CD123bright plasmacytoid dendritic cells, whereas BDCA-3 is expressed on small population of CD11c+ CD123− dendritic cells. All three Ags are not detectable on a third blood dendritic cell population, which is CD1c+ CD11cbright CD123dim, or on any other cells in blood. BDCA-4 is also expressed on monocyte-derived and CD34+ cell-derived dendritic cells. Expression of all three Ags dramatically changes once blood dendritic cells undergo in vitro maturation. BDCA-2 is completely down-regulated on plasmacytoid CD11c− CD123bright dendritic cells, expression of BDCA-3 is up-regulated on both plasmacytoid CD11c− CD123bright dendritic cells and CD1c+ CD11cbright CD123dim dendritic cells, and expression of BDCA-4 is up-regulated on CD1c+ CD11cbright CD123dim dendritic cells. BDCA-2 is rapidly internalized at 37°C after mAb labeling. The three presumably novel Ags serve as specific markers for the respective subpopulations of blood dendritic cells in fresh blood and will be of great value for their further analysis and to evaluate their therapeutic potential.

A flexible, fast and simple magnetic cell sorting system for separation of large numbers of cells according to specific cell surface markers was developed and tested. Cells stained sequentially with biotinylated antibodies, fluorochrome‐conjugated avidin, and superparamagnetic biotinylated‐microparticles (about 100 nm diameter) are separated on high gradient magnetic (HGM) columns. Unlabelled cells pass through the column, while labelled cells are retained. The retained cells can be easily eluted. More than 109 cells can be processed in about 15 min. Enrichment rates of more than 100‐fold and depletion rates of several 1,000‐fold can be achieved. The simultaneous tagging of cells with fluorochromes and very small, invisible magnetic beads makes this system an ideal complement to flow cytometry. Light scatter and fluorescent parameters of the cells are not changed by the bound particles. Magnetically separated cells can be analysed by fluorescence microscopy or flow cytometry or sorted by fluorescence‐activated cell sorting without further treatment. Magnetic tagging and separation does not affect cell viability and proliferation.

The functional relevance of pre-existing cross-immunity to SARS-CoV-2 is a subject of intense debate. Here, we show that human endemic coronavirus (HCoV)-reactive and SARS-CoV-2-cross-reactive CD4+ T cells are ubiquitous but decrease with age. We identified a universal immunodominant coronavirus-specific spike peptide (S816-830) and demonstrate that pre-existing spike- and S816-830-reactive T cells were recruited into immune responses to SARS-CoV-2 infection and their frequency correlated with anti-SARS-CoV-2-S1-IgG antibodies. Spike-cross-reactive T cells were also activated after primary BNT162b2 COVID-19 mRNA vaccination displaying kinetics similar to secondary immune responses. Our results highlight the functional contribution of pre-existing spike-cross-reactive T cells in SARS-CoV-2 infection and vaccination. Cross-reactive immunity may account for the unexpectedly rapid induction of immunity following primary SARS-CoV-2 immunization and the high rate of asymptomatic/mild COVID-19 disease courses.

42 Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a rapidly 43 unfolding pandemic, overwhelming health care systems worldwide 1 . Clinical manifestations of 44 Coronavirus-disease 2019 (COVID-19) vary broadly, ranging from asymptomatic infection to 45 acute respiratory failure and death 2 , yet the underlying mechanisms for this high variability are 46 still unknown. Similarly, the role of host immune responses in viral clearance of COVID-19 47 remains unresolved. For SARS-CoV (2002/03), however, it has been reported that CD4 + T cell 48responses correlated with positive outcomes 3,4 , whereas T cell immune responses to SARS-49CoV-2 have not yet been characterized. Here, we describe an assay that allows direct detection 50and characterization of SARS-CoV-2 spike glycoprotein (S)-reactive CD4 + T cells in peripheral 51blood. We demonstrate the presence of S-reactive CD4 + T cells in 83% of COVID-19 patients, 52as well as in 34% of SARS-CoV-2 seronegative healthy donors (HD), albeit at lower 53 frequencies. Strikingly, S-reactive CD4 + T cells in COVID-19 patients equally targeted N-54terminal and C-terminal epitopes of S whereas in HD S-reactive CD4 + T cells reacted almost 55exclusively to the C-terminal epitopes that are a) characterized by higher homology with spike 56 glycoprotein of human endemic "common cold" coronaviruses (hCoVs), and b) contains the S2 57 subunit of S with the cytoplasmic peptide (CP), the fusion peptide (FP), and the transmembrane 58 domain (TM) but not the receptor-binding domain (RBD). In contrast to S-reactive CD4 + T 59 cells in HD, S-reactive CD4 + T cells from COVID-19 patients co-expressed CD38 and HLA-60DR, indivative of their recent in vivo activation. Our study is the first to directly measure SARS-61CoV-2-reactive T cell responses providing critical tools for large scale testing and 62 characterization of potential cross-reactive cellular immunity to SARS-CoV-2. The presence of 63 pre-existing SARS-CoV-2-reactive T cells in a subset of SARS-CoV-2 naïve HD is of high 64interest but larger scale prospective cohort studies are needed to assess whether their presence 65 is a correlate of protection or pathology for COVID-19. Results of such studies will be key for 66 a mechanistic understanding of the SARS-CoV-2 pandemic, adaptation of containment 67 methods and to support vaccine development.