{"doi":"10.1016/j.tig.2022.01.004","title":"A decade of molecular cell atlases","abstract":null,"journal":"Trends in Genetics","year":2022,"id":610603,"datarank":0.6190701577567639,"base_score":4.127134385045092,"endowment":4.127134385045092,"self_citation_contribution":0.6190701577567639,"citation_network_contribution":0.0,"self_endowment_contribution":0.6190701577567639,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":61,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"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":11049,"name":"Stephen R. Quake","orcid":"0000-0002-1613-0809","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A decade of molecular cell atlases","abstract":"In recent years there has been tremendous progress towards deep molecular characterization of cell types using single-cell transcriptome sequencing, creating so-called 'cell atlases'. These atlases provide a basic understanding of how different cell types of the same organism - which all share the genome - make distinct use of subsets of genes from the genome to create a variety of distinct cell types across tissues with specialized functions. In this opinion article I discuss some of the history and technological innovations that led to the development of whole-organism atlases.","is_dataset_classified":null,"base_score":4.127134385045092,"endowment":4.127134385045092,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"35105475","pmcid":null,"openalex_id":"https://openalex.org/W4210646164","authors":[],"funders":[],"total_grants":0,"fwci":4.5457,"citation_percentile":0.96296334,"influential_citations":0,"citation_trend":[{"year":2022,"count":5},{"year":2023,"count":13},{"year":2024,"count":27},{"year":2025,"count":13},{"year":2026,"count":3}],"oa_status":"hybrid","license":"cc-by-nc-nd","oa_locations":[{"url":"http://www.cell.com/article/S016895252200004X/pdf","host_type":"journal"},{"url":"http://www.cell.com/article/S016895252200004X/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S016895252200004X?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S016895252200004X?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.tig.2022.01.004","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/35105475","host_type":"repository"}],"fields_of_study":["Single-cell and spatial transcriptomics","Cell Image Analysis Techniques","Immune cells in cancer","Genome"],"mesh_terms":["Genome"],"keywords":["Biology","Organism","Computational biology","Genome","Transcriptome","Cell type","Model organism","Evolutionary biology","Gene","Cell","Genetics","Gene expression"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-01T06:58:51.935773Z","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":[]}