{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T16:40:19Z","timestamp":1742661619341,"version":"3.40.2"},"reference-count":35,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2012,3,7]],"date-time":"2012-03-07T00:00:00Z","timestamp":1331078400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cytometry Pt A"],"published-print":{"date-parts":[[2012,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Herein, we describe an experimental and computational approach to perform quantitative carboxyfluorescein diacetate succinimidyl ester (CFSE) cell\u2010division tracking in cultures of primary colony\u2010forming unit\u2010erythroid (CFU\u2010E) cells, a hematopoietic progenitor cell type, which is an important target for the treatment of blood disorders and for the manufacture of red blood cells. CFSE labeling of CFU\u2010Es isolated from mouse fetal livers was performed to examine the effects of stem cell factor (SCF) and erythropoietin (EPO) in culture. We used a dynamic model of proliferation based on the Smith\u2010Martin representation of the cell cycle to extract proliferation rates and death rates from CFSE time\u2010series. However, we found that to accurately represent the cell population dynamics in differentiation cultures of CFU\u2010Es, it was necessary to develop a model with generation\u2010specific rate parameters. The generation\u2010specific rates of proliferation and death were extracted for six generations (<jats:italic>G<\/jats:italic><jats:sub>0<\/jats:sub>\u2013<jats:italic>G<\/jats:italic><jats:sub>5<\/jats:sub>) and they revealed that, although SCF alone or EPO alone supported similar total cell outputs in culture, stimulation with EPO resulted in significantly higher proliferation rates from<jats:italic>G<\/jats:italic><jats:sub>2<\/jats:sub>to<jats:italic>G<\/jats:italic><jats:sub>5<\/jats:sub>and higher death rates in<jats:italic>G<\/jats:italic><jats:sub>2<\/jats:sub>,<jats:italic>G<\/jats:italic><jats:sub>3<\/jats:sub>, and<jats:italic>G<\/jats:italic><jats:sub>5<\/jats:sub>compared with SCF. In addition, proliferation rates tended to increase from<jats:italic>G<\/jats:italic><jats:sub>1<\/jats:sub>to<jats:italic>G<\/jats:italic><jats:sub>5<\/jats:sub>in cultures supplemented with EPO and EPO + SCF, while they remained lower and more constant across generations with SCF. The results are consistent with the notion that SCF promotes CFU\u2010E self\u2010renewal while EPO promotes CFU\u2010E differentiation in culture. \u00a9 2012 International Society for Advancement of Cytometry<\/jats:p>","DOI":"10.1002\/cyto.a.22031","type":"journal-article","created":{"date-parts":[[2012,3,7]],"date-time":"2012-03-07T19:01:18Z","timestamp":1331146878000},"page":"382-389","source":"Crossref","is-referenced-by-count":9,"title":["Measurement of generation\u2010dependent proliferation rates and death rates during mouse erythroid progenitor cell differentiation"],"prefix":"10.1002","volume":"81A","author":[{"given":"Vahe","family":"Akbarian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weijia","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julie","family":"Audet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2012,3,7]]},"reference":[{"key":"e_1_2_6_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/0022-1759(94)90236-4"},{"key":"e_1_2_6_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/nprot.2007.296"},{"key":"e_1_2_6_4_2","doi-asserted-by":"publisher","DOI":"10.1002\/cyto.a.21010"},{"key":"e_1_2_6_5_2","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2141.1997.2823097.x"},{"key":"e_1_2_6_6_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood.V95.3.855.003k41_855_862"},{"key":"e_1_2_6_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0320(20010101)43:1<69::AID-CYTO1020>3.0.CO;2-5"},{"key":"e_1_2_6_8_2","doi-asserted-by":"publisher","DOI":"10.1002\/cyto.a.20437"},{"key":"e_1_2_6_9_2","doi-asserted-by":"publisher","DOI":"10.1046\/j.1440-1711.1999.00869.x"},{"key":"e_1_2_6_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jim.2005.01.011"},{"key":"e_1_2_6_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11538-006-9094-8"},{"key":"e_1_2_6_12_2","doi-asserted-by":"publisher","DOI":"10.1038\/nprot.2007.297"},{"key":"e_1_2_6_13_2","first-page":"5","article-title":"Stochastic models of lymphocyte proliferation and death","author":"Zilman A","year":"2010","journal-title":"PLoS One"},{"key":"e_1_2_6_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtbi.2011.02.006"},{"key":"e_1_2_6_15_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.70.4.1263"},{"key":"e_1_2_6_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(03)70063-0"},{"key":"e_1_2_6_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-5193(03)00245-5"},{"key":"e_1_2_6_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/0022-5193(80)90069-7"},{"key":"e_1_2_6_19_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2010-07-295550"},{"key":"e_1_2_6_20_2","doi-asserted-by":"publisher","DOI":"10.1038\/nbt1047"},{"key":"e_1_2_6_21_2","doi-asserted-by":"publisher","DOI":"10.1038\/nprot.2006.250"},{"key":"e_1_2_6_22_2","doi-asserted-by":"publisher","DOI":"10.1002\/0471142735.im22b02s80"},{"key":"e_1_2_6_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/0092-8674(95)90234-1"},{"volume-title":"Mathematica navigator:mathematics, statistics, and graphics","year":"2009","author":"Ruskeep\u00e4\u00e4 H","key":"e_1_2_6_24_2"},{"key":"e_1_2_6_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00285-006-0046-6"},{"key":"e_1_2_6_26_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2003-05-1479"},{"key":"e_1_2_6_27_2","doi-asserted-by":"publisher","DOI":"10.1083\/jcb.96.2.386"},{"key":"e_1_2_6_28_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2004-09-3459"},{"key":"e_1_2_6_29_2","doi-asserted-by":"publisher","DOI":"10.1038\/ni713"},{"key":"e_1_2_6_30_2","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2005.3432"},{"key":"e_1_2_6_31_2","doi-asserted-by":"publisher","DOI":"10.1002\/bit.21677"},{"key":"e_1_2_6_32_2","first-page":"656","volume-title":"Design and analysis of experiments","author":"Montgomery DC","year":"2009"},{"key":"e_1_2_6_33_2","doi-asserted-by":"publisher","DOI":"10.1083\/jcb.200702080"},{"key":"e_1_2_6_34_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2007-06-098178"},{"key":"e_1_2_6_35_2","doi-asserted-by":"crossref","unstructured":"BanjerdpongchaiD DejnakarintraM.A novel numerical convolution of rational laplace transform inversion. 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