Core Viewpoint - The article discusses the development of a pre-trained large generative model called scTranslator, which translates single-cell transcriptomes to proteomes, addressing challenges in single-cell proteomics and enabling multi-omics data generation [3][5]. Group 1: Technology Overview - Single-cell proteomics faces challenges such as limited coverage, low throughput and sensitivity, batch effects, high costs, and strict experimental protocols [3]. - The scTranslator model is inspired by natural language processing and genetic translation processes, allowing for the inference of missing single-cell proteomes from single-cell transcriptomes [5]. Group 2: Validation and Applications - The research team conducted systematic benchmarking and validation of scTranslator across various profiling technologies (e.g., CITE-seq, spatial CITE-seq, REAP-seq, NEAT-seq), cell types (e.g., monocytes, macrophages, T cells, B cells), and tissues (e.g., blood, lung, brain) [5]. - scTranslator demonstrates accuracy, stability, and flexibility in a wide range of disease contexts, including infections, metabolism, and tumors [5]. - The model shows superiority in assisting various downstream analyses and applications, such as gene/protein interaction inference, perturbation prediction, cell clustering, batch correction, and cell origin identification in pan-cancer data [5].

Core Viewpoint - The article highlights the advancements in proteomics, emphasizing the technological innovations and research developments that have significantly impacted the field over the past three decades [2][3]. Group 1: Technological Breakthroughs - Key innovations include new methods for ligand-target protein identification (PELSA), peptide preparation techniques (OPPRAD), and advancements in high-throughput sequencing platforms like DEEP-SEQ [3]. - The integration of cutting-edge technologies such as spatial proteomics and single-cell proteomics is also noted, showcasing the evolution of proteomics methodologies [3]. Group 2: Research Progress - The article discusses the latest developments in proteomics related to precision medicine, spatial proteomics, and post-translational modification proteomics [3]. - It mentions the participation of experts from prestigious institutions like Shanghai Jiao Tong University and Fudan University, who will share their latest research findings [3]. Group 3: Event Details - The "Seventh Proteomics New Technologies and Methods" online seminar is scheduled for August 28, 2025, organized by Instrument Information Network [5]. - The agenda includes various presentations from leading researchers and industry experts, covering topics such as automated high-throughput quality control in proteomics and the application of advanced mass spectrometry techniques [6].