{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Momenzadeh A"],"funding":["NIH National Institute of General Medical Sciences","NIGMS NIH HHS"],"pagination":["100973"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12534698"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["5(9)"],"pubmed_abstract":["Over the past 2 to 3 years, mass-spectrometry-based single-cell proteomics (SCP) has experienced transformative improvements in microfluidic and robotic sample preparation, innovative MS1- and MS2-based multiplexing strategies, and specialized hardware (e.g., timsTOF Ultra 2, Astral), which have dramatically boosted sensitivity, throughput, and proteome coverage from picogram-level protein inputs. Concurrently, tailored computational workflows that encompass normalization, imputation, and no-code platforms have addressed pervasive missing data challenges and standardized analyses, collectively enabling high-throughput, reproducible profiling of cellular heterogeneity. This minireview summarizes the latest progress in SCP technology and software solutions, highlighting how the closer integr"],"journal":["Cell genomics"],"pubmed_title":["Single-cell proteomics using mass spectrometry."],"pmcid":["PMC12534698"],"funding_grant_id":["R35GM142502","R35 GM142502"],"pubmed_authors":["Momenzadeh A","Meyer JG"],"additional_accession":[]},"is_claimable":false,"name":"Single-cell proteomics using mass spectrometry.","description":"Over the past 2 to 3 years, mass-spectrometry-based single-cell proteomics (SCP) has experienced transformative improvements in microfluidic and robotic sample preparation, innovative MS1- and MS2-based multiplexing strategies, and specialized hardware (e.g., timsTOF Ultra 2, Astral), which have dramatically boosted sensitivity, throughput, and proteome coverage from picogram-level protein inputs. Concurrently, tailored computational workflows that encompass normalization, imputation, and no-code platforms have addressed pervasive missing data challenges and standardized analyses, collectively enabling high-throughput, reproducible profiling of cellular heterogeneity. This minireview summarizes the latest progress in SCP technology and software solutions, highlighting how the closer integr","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-05-09T03:22:35.932Z","creation":"2026-05-09T03:12:11.327Z"},"accession":"S-EPMC12534698","cross_references":{"pubmed":["40840452"],"doi":["10.1016/j.xgen.2025.100973"]}}