title: Consistent quantitative gene product expression: #2. Antigen intensities on bone marrow cells are invariant between individuals.
abstract: Five reference populations in bone marrow specimens were identified by flow cytometry using specific combinations of reagents in order define the variation of gene product expression intensities both within and between individuals. Mature lymphocytes, uncommitted progenitor cells, promyelocytes, mature monocytes and mature neutrophils can be reproducibly identified as distinct clusters of events in heterogeneous, maturing bone marrow specimens. Support Vector Machines were used to identify the reference populations in order to reduce subjective bias in manually defining boundaries of these populations since they were not discretely separated from the remainder of the cells. Reference populations were identified in 50 randomly selected bone marrow aspirates obtained over a period spanning 3 years and 6 months from pediatric patients following chemotherapy for acute myeloid leukemia (AML). The quantitative expression of gene products (cell surface antigens) and light scattering characteristics on these stressed specimens were demonstrated to be tightly regulated both within individuals and between individuals. Within an individual most gene products (CD45, CD34, CD14, CD16, CD64, CD33) demonstrated limited variability with a standard deviation of <0.20 log units while CD13 and CD36 exhibited broader variation >0.25 log units. Surprisingly, with the exception of CD33, the variation of the mean intensities of each antigen between individuals was even less than the variation within an individual. These data confirm that the amounts of gene products expressed on normal developing cells are highly regulated but differ in intensities between different lineages and during the maturational pathway of those lineages. The amounts of gene products expressed at specific stages of development of each lineage are a biologic constant with minimal variation within or between individuals. © 2016 The Authors. Cytometry Part A Published by Wiley Periodicals, Inc. on behalf of ISAC.
authors.affiliation: HematoLogics, Inc, Seattle, Washington.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Loken
authors.affiliation: HematoLogics, Inc, Seattle, Washington.
authors.forename: Andrew P
authors.initials: AP
authors.lastname: Voigt
authors.affiliation: HematoLogics, Inc, Seattle, Washington.
authors.forename: Lisa
authors.initials: L
authors.lastname: Eidenschink Brodersen
authors.affiliation: HematoLogics, Inc, Seattle, Washington.
authors.forename: Wayne
authors.initials: W
authors.lastname: Fritschle
authors.affiliation: HematoLogics, Inc, Seattle, Washington.
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Menssen
authors.affiliation: Fred Hutchinson Cancer Research Center, Seattle, Washington.
authors.forename: Soheil
authors.initials: S
authors.lastname: Meshinchi
authors.affiliation: HematoLogics, Inc, Seattle, Washington.
authors.forename: Denise A
authors.initials: DA
authors.lastname: Wells
mesh_terms: D000954:Antigens, Surface / Q000032:analysis*; D002648:Child; D005260:Female; D005434:Flow Cytometry; D006412:Hematopoietic Stem Cells / Q000145:classification*; D006801:Humans; D015470:Leukemia, Myeloid, Acute / Q000473:pathology*; D008297:Male; D060388:Support Vector Machine; D059467:Transcriptome
chemical_list: D000954:Antigens, Surface
keywords: bone marrow aspirates; flow cytometry; quantitative antigen expression; support vector machines