Matches in SemOpenAlex for { <https://semopenalex.org/work/W2151829671> ?p ?o ?g. }
- W2151829671 abstract "Abstract Background Immune monitoring by flow cytometry is a fast and highly informative way of studying the effects of novel therapeutics aimed at reducing transplant rejection or treating autoimmune diseases. The ONE Study consortium has recently initiated a series of clinical trials aimed at using different cell therapies to promote tolerance to renal allografts. To compare the effectiveness of different cell therapies, the consortium developed a robust immune monitoring strategy, including procedures for whole blood (WB) leukocyte subset profiling by flow cytometry. Methods Six leukocyte profiling panels computing 7- to 9-surface marker antigens for monitoring the major leukocyte subsets as well as characteristics of T cell, B cell, and dendritic cell (DC) subsets were designed. The precision and variability of these panels were estimated. The assay was standardized within eight international laboratories using Flow-Set Pro beads for mean fluorescence intensity target definition and the flow cytometer setup procedure. Standardization was demonstrated by performing inter-site comparisons. Results Optimized methods for sample collection, storage, preparation, and analysis were established, including protocols for gating target subsets. WB specimen age testing demonstrated that staining must be performed within 4 hours of sample collection to keep variability low, meaning less than or equal to 10% for the majority of defined leukocyte subsets. Inter-site comparisons between all participating centers testing shipped normal WB revealed good precision, with a variability of 0.05% to 30% between sites. Intra-assay analyses revealed a variability of 0.05% to 20% for the majority of subpopulations. This was dependent on the frequency of the particular subset, with smaller subsets showing higher variability. The intra-assay variability performance defined limits of quantitation (LoQ) for subsets, which will be the basis for assessing statistically significant differences achieved by the different cell therapies. Conclusions Local performance and central analysis of the ONE Study flow cytometry panel yields acceptable variability in a standardized assay at multiple international sites. These panels and procedures with WB allow unmanipulated analysis of changes in absolute cell numbers of leukocyte subsets in single- or multicenter clinical trials. Accordingly, we propose the ONE Study panel may be adopted as a standardized method for monitoring patients in clinical trials enrolling transplant patients, particularly trials of novel tolerance promoting therapies, to facilitate fair and meaningful comparisons between trials." @default.
- W2151829671 created "2016-06-24" @default.
- W2151829671 creator A5012236310 @default.
- W2151829671 creator A5020775252 @default.
- W2151829671 creator A5022581366 @default.
- W2151829671 creator A5025108864 @default.
- W2151829671 creator A5030126089 @default.
- W2151829671 creator A5042324453 @default.
- W2151829671 creator A5043305493 @default.
- W2151829671 creator A5046255653 @default.
- W2151829671 creator A5049060150 @default.
- W2151829671 creator A5059837000 @default.
- W2151829671 creator A5066358093 @default.
- W2151829671 creator A5069451422 @default.
- W2151829671 creator A5074475221 @default.
- W2151829671 date "2013-10-25" @default.
- W2151829671 modified "2023-10-13" @default.
- W2151829671 title "Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study" @default.
- W2151829671 cites W102704840 @default.
- W2151829671 cites W1497374306 @default.
- W2151829671 cites W1533083213 @default.
- W2151829671 cites W1597409170 @default.
- W2151829671 cites W1601595875 @default.
- W2151829671 cites W185336721 @default.
- W2151829671 cites W1941148137 @default.
- W2151829671 cites W1964130172 @default.
- W2151829671 cites W1965206352 @default.
- W2151829671 cites W1965827638 @default.
- W2151829671 cites W1973175840 @default.
- W2151829671 cites W1975039433 @default.
- W2151829671 cites W1975672348 @default.
- W2151829671 cites W1976574577 @default.
- W2151829671 cites W1978783901 @default.
- W2151829671 cites W1979123148 @default.
- W2151829671 cites W1984378291 @default.
- W2151829671 cites W1984835077 @default.
- W2151829671 cites W1991028571 @default.
- W2151829671 cites W1995333196 @default.
- W2151829671 cites W2023256644 @default.
- W2151829671 cites W2024410757 @default.
- W2151829671 cites W2025446247 @default.
- W2151829671 cites W2045429967 @default.
- W2151829671 cites W2046682570 @default.
- W2151829671 cites W2055594496 @default.
- W2151829671 cites W2065293336 @default.
- W2151829671 cites W207071210 @default.
- W2151829671 cites W2073045132 @default.
- W2151829671 cites W2085521487 @default.
- W2151829671 cites W2086516001 @default.
- W2151829671 cites W2087296000 @default.
- W2151829671 cites W2089408155 @default.
- W2151829671 cites W2089924897 @default.
- W2151829671 cites W2090185140 @default.
- W2151829671 cites W2111292033 @default.
- W2151829671 cites W2118861593 @default.
- W2151829671 cites W2121462928 @default.
- W2151829671 cites W2121571434 @default.
- W2151829671 cites W2122806193 @default.
- W2151829671 cites W2137442990 @default.
- W2151829671 cites W2141478377 @default.
- W2151829671 cites W2148675722 @default.
- W2151829671 cites W2152340623 @default.
- W2151829671 cites W2152792998 @default.
- W2151829671 cites W2153283070 @default.
- W2151829671 cites W2156860214 @default.
- W2151829671 cites W2157643208 @default.
- W2151829671 cites W2168401979 @default.
- W2151829671 cites W2329528536 @default.
- W2151829671 cites W26270621 @default.
- W2151829671 doi "https://doi.org/10.1186/2047-1440-2-17" @default.
- W2151829671 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3827923" @default.
- W2151829671 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24160259" @default.
- W2151829671 hasPublicationYear "2013" @default.
- W2151829671 type Work @default.
- W2151829671 sameAs 2151829671 @default.
- W2151829671 citedByCount "178" @default.
- W2151829671 countsByYear W21518296712014 @default.
- W2151829671 countsByYear W21518296712015 @default.
- W2151829671 countsByYear W21518296712016 @default.
- W2151829671 countsByYear W21518296712017 @default.
- W2151829671 countsByYear W21518296712018 @default.
- W2151829671 countsByYear W21518296712019 @default.
- W2151829671 countsByYear W21518296712020 @default.
- W2151829671 countsByYear W21518296712021 @default.
- W2151829671 countsByYear W21518296712022 @default.
- W2151829671 countsByYear W21518296712023 @default.
- W2151829671 crossrefType "journal-article" @default.
- W2151829671 hasAuthorship W2151829671A5012236310 @default.
- W2151829671 hasAuthorship W2151829671A5020775252 @default.
- W2151829671 hasAuthorship W2151829671A5022581366 @default.
- W2151829671 hasAuthorship W2151829671A5025108864 @default.
- W2151829671 hasAuthorship W2151829671A5030126089 @default.
- W2151829671 hasAuthorship W2151829671A5042324453 @default.
- W2151829671 hasAuthorship W2151829671A5043305493 @default.
- W2151829671 hasAuthorship W2151829671A5046255653 @default.
- W2151829671 hasAuthorship W2151829671A5049060150 @default.
- W2151829671 hasAuthorship W2151829671A5059837000 @default.
- W2151829671 hasAuthorship W2151829671A5066358093 @default.
- W2151829671 hasAuthorship W2151829671A5069451422 @default.
- W2151829671 hasAuthorship W2151829671A5074475221 @default.