{"doi":"10.1007/978-1-0716-0989-7_7","title":"Specimen Preparation for Single-Cell Sequencing Analysis of Skeletal Cells","abstract":null,"journal":"Methods in Molecular Biology","year":2021,"id":610580,"datarank":0.4797126635986157,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.16779643234664027,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.16779643234664027,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":7,"citers_with_citation_signal":5,"citers_with_endowment":5,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":106894,"name":"Matthew B. Greenblatt","orcid":"0000-0001-9794-8532","position":1,"is_corresponding":false},{"id":696507,"name":"Shawon Debnath","orcid":"0000-0003-2164-1213","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Specimen Preparation for Single-Cell Sequencing Analysis of Skeletal Cells","abstract":"Recent work emphasizes that bone comprises numerous mesenchymal cell types each with different biologic functions, and deconvoluting the functions of these cells requires technical approaches with single-cell resolution, such as single-cell RNA sequencing (scRNA-seq). A critical step in conducting a successful single-cell sequencing study of bone is generation of a single-cell suspension of skeletal cells while preserving cell viability. Here we describe a method to prepare single-cell suspensions from skeletal tissue in preparation for single-cell sequencing studies. Also included are optional steps for fluorescence-activated cell sorting (FACS) of skeletal cells, which allows subsequent scRNA-seq studies to be focused on specific populations of interest.","is_dataset_classified":null,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"32979200","pmcid":null,"openalex_id":"https://openalex.org/W3087879609","authors":[],"funders":[],"total_grants":0,"fwci":2.4475,"citation_percentile":0.90234538,"influential_citations":0,"citation_trend":[{"year":2020,"count":2},{"year":2022,"count":2},{"year":2023,"count":2},{"year":2024,"count":1}],"oa_status":"closed","license":"http://www.springer.com/tdm","oa_locations":[{"url":"http://link.springer.com/content/pdf/10.1007/978-1-0716-0989-7_7","host_type":"publisher"},{"url":"https://doi.org/10.1007/978-1-0716-0989-7_7","host_type":"book series"},{"url":"https://pubmed.ncbi.nlm.nih.gov/32979200","host_type":"repository"}],"fields_of_study":["Single-cell and spatial transcriptomics","Cancer Genomics and Diagnostics","Extracellular vesicles in disease"],"mesh_terms":["Animals","Bone and Bones","Osteocytes","Specimen Handling","Mice","Single-Cell Analysis"],"keywords":["Cell sorting","Cell","Single-cell analysis","Single cell sequencing","Mesenchymal stem cell","Cell biology","Computational biology","Biology","Gene","Biochemistry","Phenotype","Osteoblasts","Bone","FACS","Single-cell Sequencing"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-01T03:48:33.707234Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}