{"doi":"10.1101/2020.12.03.410894","title":"A Quantitative Hematopoietic Stem Cell Reconstitution Protocol: Accounting for Recipient Variability, Tissue Distribution and Cell Half-Lives","abstract":"Abstract Hematopoietic stem and progenitor cell (HSPC) transplantation is the paradigm for stem cell therapies. The protocol described here enables quantitative assessment of the body-wide HSPC reconstitution of different mature hematopoietic cells in mice based on their presence in circulating blood. The method determines donor-derived mature cell populations per mouse, over time, by quantitatively obtaining their absolute numbers in the peripheral blood and utilizing previously assessed tissue-distribution factors. A Markov-based birth/death computational model accounts for the drastic differences in mature cell half-lives. By quantifying the number of cells produced and eliminating host variability, the protocol can be used to directly compare the lineage output of different types of HSPCs on a per cell basis, thereby clarifying the lineage potential and expansion capacity of different cell populations. These protocols were developed for hematopoiesis, but can readily be extended to other contexts by simply replacing the cell types and distributions. Highlights Quantitative assessment of stem and progenitor cell reconstitution capacity Elimination of cell-specific recipient variability for accurate donor cell potential Directly comparable lineage output within and between stem and progenitor cells Blood-based absolute quantification of whole-body repopulation over time Markov modelling-based consideration of differential mature cell half-lives","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":127738,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9601,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":577988,"name":"Scott W. Boyer","orcid":null,"position":1,"is_corresponding":false},{"id":492139,"name":"E. Camilla Forsberg","orcid":"0000-0002-8740-4299","position":2,"is_corresponding":false},{"id":577206,"name":"Smrithi Rajendiran","orcid":"0000-0001-5259-2579","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-18T23:15:34.966380Z","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":[]}