TY - JOUR AU - Alfaro, Javier Antonio AU - Bohländer, Peggy AU - Dai, Mingjie AU - Filius, Mike AU - Howard, Cecil J. AU - van Kooten, Xander F. AU - Ohayon, Shilo AU - Pomorski, Adam AU - Schmid, Sonja AU - Aksimentiev, Aleksei AU - Anslyn, Eric V. AU - Bedran, Georges AU - Cao, Chan AU - Chinappi, Mauro AU - Coyaud, Etienne AU - Dekker, Cees AU - Dittmar, Gunnar AU - Drachman, Nicholas AU - Eelkema, Rienk AU - Goodlett, David AU - Hentz, Sébastien AU - Kalathiya, Umesh AU - Kelleher, Neil L. AU - Kelly, Ryan T. AU - Kelman, Zvi AU - Kim, Sung Hyun AU - Kuster, Bernhard AU - Rodriguez-Larrea, David AU - Lindsay, Stuart AU - Maglia, Giovanni AU - Marcotte, Edward M. AU - Marino, John P. AU - Masselon, Christophe AU - Mayer, Michael AU - Samaras, Patroklos AU - Sarthak, Kumar AU - Sepiashvili, Lusia AU - Stein, Derek AU - Wanunu, Meni AU - Wilhelm, Mathias AU - Yin, Peng AU - Meller, Amit AU - Joo, Chirlmin PY - 2021 DA - 2021/06/01 TI - The emerging landscape of single-molecule protein sequencing technologies JO - Nature Methods SP - 604 EP - 617 VL - 18 IS - 6 AB - Single-cell profiling methods have had a profound impact on the understanding of cellular heterogeneity. While genomes and transcriptomes can be explored at the single-cell level, single-cell profiling of proteomes is not yet established. Here we describe new single-molecule protein sequencing and identification technologies alongside innovations in mass spectrometry that will eventually enable broad sequence coverage in single-cell profiling. These technologies will in turn facilitate biological discovery and open new avenues for ultrasensitive disease diagnostics. SN - 1548-7105 UR - https://doi.org/10.1038/s41592-021-01143-1 DO - 10.1038/s41592-021-01143-1 ID - Alfaro2021 ER -