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2017 | OriginalPaper | Buchkapitel

Flow Cytometry in Multi-center and Longitudinal Studies

verfasst von : Anis Larbi

Erschienen in: Single Cell Analysis

Verlag: Springer Singapore

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Abstract

In the era of consortium-based studies, “omics,” and data sharing, flow cytometry needs to match other technological platforms in terms of standard operating procedures, reduced variability, and reproducibility. While tools such as gene-expression platforms have proven robustness and reproducibility, flow cytometry still relies heavily on scientists for the development of antibody panels as well as detailed experimental procedures. This is expected to remain for several decades, as the limit of markers to be assessed in a single staining does not allow attainment of the “omic” level of other technological platforms. This chapter presents a non-exhaustive series of multi-centric and longitudinal studies and their integration of flow cytometry measures. We also discuss recommendations made by key consortia to minimize variability in flow cytometry experiments. This chapter also aims to raise awareness of factors that may influence flow cytometry data obtained in large studies.

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Literatur
1.
Zurück zum Zitat Cossarizza A, Ortolani C, Mussini C, Borghi V, Guaraldi G, Mongiardo N, Bellesia E, Franceschini MG, De Rienzo B, Franceschi C (1995) Massive activation of immune cells with an intact T cell repertoire in acute human immunodeficiency virus syndrome. J Infect Dis 172:105–112CrossRef Cossarizza A, Ortolani C, Mussini C, Borghi V, Guaraldi G, Mongiardo N, Bellesia E, Franceschini MG, De Rienzo B, Franceschi C (1995) Massive activation of immune cells with an intact T cell repertoire in acute human immunodeficiency virus syndrome. J Infect Dis 172:105–112CrossRef
2.
Zurück zum Zitat Gatti L, Tenconi PM, Guarneri D, Bertulessi C, Ossola MW, Bosco P, Gianotti GA (1994) Hemostatic parameters and platelet activation by flow-cytometry in normal pregnancy: a longitudinal study. Int J Clin Lab Res 24:217–219CrossRef Gatti L, Tenconi PM, Guarneri D, Bertulessi C, Ossola MW, Bosco P, Gianotti GA (1994) Hemostatic parameters and platelet activation by flow-cytometry in normal pregnancy: a longitudinal study. Int J Clin Lab Res 24:217–219CrossRef
3.
Zurück zum Zitat Bradstock K, Matthews J, Benson E, Page F, Bishop J (1994) Prognostic value of immunophenotyping in acute myeloid leukemia. Australian Leukaemia Study Group. Blood 84:1220–1225 Bradstock K, Matthews J, Benson E, Page F, Bishop J (1994) Prognostic value of immunophenotyping in acute myeloid leukemia. Australian Leukaemia Study Group. Blood 84:1220–1225
4.
Zurück zum Zitat Benevolo G, Stacchini A, Spina M, Ferreri AJ, Arras M, Bellio L, Botto B, Bulian P, Cantonetti M, Depaoli L, Di Renzo N, Di Rocco A, Evangelista A, Franceschetti S, Godio L, Mannelli F, Pavone V, Pioltelli P, Vitolo U, Pogliani EM (2012) Final results of a multicenter trial addressing role of CSF flow cytometric analysis in NHL patients at high risk for CNS dissemination. Blood 120:3222–3228CrossRef Benevolo G, Stacchini A, Spina M, Ferreri AJ, Arras M, Bellio L, Botto B, Bulian P, Cantonetti M, Depaoli L, Di Renzo N, Di Rocco A, Evangelista A, Franceschetti S, Godio L, Mannelli F, Pavone V, Pioltelli P, Vitolo U, Pogliani EM (2012) Final results of a multicenter trial addressing role of CSF flow cytometric analysis in NHL patients at high risk for CNS dissemination. Blood 120:3222–3228CrossRef
5.
Zurück zum Zitat Della Porta MG1, Picone C, Pascutto C, Malcovati L, Tamura H, Handa H, Czader M, Freeman S, Vyas P, Porwit A, Saft L, Westers TM, Alhan C, Cali C, van de Loosdrecht AA, Ogata K (2012) Multicenter validation of a reproducible flow cytometric score for the diagnosis of low-grade myelodysplastic syndromes: results of a European LeukemiaNET study. Haematologica 97:1209–1217 Della Porta MG1, Picone C, Pascutto C, Malcovati L, Tamura H, Handa H, Czader M, Freeman S, Vyas P, Porwit A, Saft L, Westers TM, Alhan C, Cali C, van de Loosdrecht AA, Ogata K (2012) Multicenter validation of a reproducible flow cytometric score for the diagnosis of low-grade myelodysplastic syndromes: results of a European LeukemiaNET study. Haematologica 97:1209–1217
6.
Zurück zum Zitat Wikby A, Maxson P, Olsson J, Johansson B, Ferguson FG (1998) Changes in CD8 and CD4 lymphocyte subsets, T cell proliferation responses and non-survival in the very old: the Swedish longitudinal OCTO-immune study. Mech Ageing Dev 102:187–198CrossRef Wikby A, Maxson P, Olsson J, Johansson B, Ferguson FG (1998) Changes in CD8 and CD4 lymphocyte subsets, T cell proliferation responses and non-survival in the very old: the Swedish longitudinal OCTO-immune study. Mech Ageing Dev 102:187–198CrossRef
7.
Zurück zum Zitat Adriaensen W, Pawelec G, Vaes B, Hamprecht K, Derhovanessian E, van Pottelbergh G, Degryse JM, Matheï C (2016) CD4:8 ratio above 5 is associated with all-cause mortality in cmv-seronegative very old women: results from the BELFRAIL study. J Gerontol A Biol Sci Med Sci (in press) Adriaensen W, Pawelec G, Vaes B, Hamprecht K, Derhovanessian E, van Pottelbergh G, Degryse JM, Matheï C (2016) CD4:8 ratio above 5 is associated with all-cause mortality in cmv-seronegative very old women: results from the BELFRAIL study. J Gerontol A Biol Sci Med Sci (in press)
8.
Zurück zum Zitat Irving J, Jesson J, Virgo P, Case M, Minto L, Eyre L, Noel N, Johansson U, Macey M, Knotts L, Helliwell M, Davies P, Whitby L, Barnett D, Hancock J, Goulden N, Lawson S; UKALL Flow MRD Group; UK MRD steering Group (2009) Establishment and validation of a standard protocol for the detection of minimal residual disease in B lineage childhood acute lymphoblastic leukemia by flow cytometry in a multi-center setting. Haematologica 94:870–874 Irving J, Jesson J, Virgo P, Case M, Minto L, Eyre L, Noel N, Johansson U, Macey M, Knotts L, Helliwell M, Davies P, Whitby L, Barnett D, Hancock J, Goulden N, Lawson S; UKALL Flow MRD Group; UK MRD steering Group (2009) Establishment and validation of a standard protocol for the detection of minimal residual disease in B lineage childhood acute lymphoblastic leukemia by flow cytometry in a multi-center setting. Haematologica 94:870–874
9.
Zurück zum Zitat McGowan I, Anton PA, Elliott J, Cranston RD, Duffill K, Althouse AD, Hawkins KL, De Rosa SC (2015) Exploring the feasibility of multi-site flow cytometric processing of gut associated lymphoid tissue with centralized data analysis for multi-site clinical trials. PLoS ONE 10:e0126454CrossRef McGowan I, Anton PA, Elliott J, Cranston RD, Duffill K, Althouse AD, Hawkins KL, De Rosa SC (2015) Exploring the feasibility of multi-site flow cytometric processing of gut associated lymphoid tissue with centralized data analysis for multi-site clinical trials. PLoS ONE 10:e0126454CrossRef
10.
Zurück zum Zitat Freeman CM, Crudgington S, Stolberg VR, Brown JP, Sonstein J, Alexis NE, Doerschuk CM, Basta PV, Carretta EE, Couper DJ, Hastie AT, Kaner RJ, O’Neal WK, Paine R 3rd, Rennard SI, Shimbo D, Woodruff PG, Zeidler M, Curtis JL (2015) Design of a multi-center immunophenotyping analysis of peripheral blood, sputum and bronchoalveolar lavage fluid in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS). J Transl Med 13:19CrossRef Freeman CM, Crudgington S, Stolberg VR, Brown JP, Sonstein J, Alexis NE, Doerschuk CM, Basta PV, Carretta EE, Couper DJ, Hastie AT, Kaner RJ, O’Neal WK, Paine R 3rd, Rennard SI, Shimbo D, Woodruff PG, Zeidler M, Curtis JL (2015) Design of a multi-center immunophenotyping analysis of peripheral blood, sputum and bronchoalveolar lavage fluid in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS). J Transl Med 13:19CrossRef
11.
Zurück zum Zitat Giorgi JV, Cheng HL, Margolick JB, Bauer KD, Ferbas J, Waxdal M, Schmid I, Hultin LE, Jackson AL, Park L (1990) Quality control in the flow cytometric measurement of T-lymphocyte subsets: the multicenter AIDS cohort study experience. The Multicenter AIDS Cohort Study Group. Clin Immunol Immunopathol 55:173–186CrossRef Giorgi JV, Cheng HL, Margolick JB, Bauer KD, Ferbas J, Waxdal M, Schmid I, Hultin LE, Jackson AL, Park L (1990) Quality control in the flow cytometric measurement of T-lymphocyte subsets: the multicenter AIDS cohort study experience. The Multicenter AIDS Cohort Study Group. Clin Immunol Immunopathol 55:173–186CrossRef
12.
Zurück zum Zitat Stewart JC1, Villasmil ML, Frampton MW (2007) Changes in fluorescence intensity of selected leukocyte surface markers following fixation. Cytometry A 71:379–385 Stewart JC1, Villasmil ML, Frampton MW (2007) Changes in fluorescence intensity of selected leukocyte surface markers following fixation. Cytometry A 71:379–385
13.
Zurück zum Zitat Mair F, Hartmann FJ, Mrdjen D, Tosevski V, Krieg C, Becher B. The end of gating? An introduction to automated analysis of high dimensional cytometry data. Eur J Immunol. 46:34–43 Mair F, Hartmann FJ, Mrdjen D, Tosevski V, Krieg C, Becher B. The end of gating? An introduction to automated analysis of high dimensional cytometry data. Eur J Immunol. 46:34–43
16.
Zurück zum Zitat Kalina T, Flores-Montero J, van der Velden VH, Martin-Ayuso M, Böttcher S, Ritgen M, Almeida J, Lhermitte L, Asnafi V, Mendonça A, de Tute R, Cullen M, Sedek L, Vidriales MB, Pérez JJ, te Marvelde JG, Mejstrikova E, Hrusak O, Szczepański T, van Dongen JJ, Orfao A (2012) EuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocols. Leukemia 26:1986–2010CrossRef Kalina T, Flores-Montero J, van der Velden VH, Martin-Ayuso M, Böttcher S, Ritgen M, Almeida J, Lhermitte L, Asnafi V, Mendonça A, de Tute R, Cullen M, Sedek L, Vidriales MB, Pérez JJ, te Marvelde JG, Mejstrikova E, Hrusak O, Szczepański T, van Dongen JJ, Orfao A (2012) EuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocols. Leukemia 26:1986–2010CrossRef
17.
Zurück zum Zitat Streitz M, Miloud T, Kapinsky M, Reed MR, Magari R, Geissler EK, Hutchinson JA, Vogt K, Schlickeiser S, Kverneland AH, Meisel C, Volk HD, Sawitzki B (2013) Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study. Transplant Res 2:17CrossRef Streitz M, Miloud T, Kapinsky M, Reed MR, Magari R, Geissler EK, Hutchinson JA, Vogt K, Schlickeiser S, Kverneland AH, Meisel C, Volk HD, Sawitzki B (2013) Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study. Transplant Res 2:17CrossRef
18.
Zurück zum Zitat Finak G, Langweiler M, Jaimes M, Malek M, Taghiyar J, Korin Y, Raddassi K, Devine L, Obermoser G, Pekalski ML, Pontikos N, Diaz A, Heck S, Villanova F, Terrazzini N, Kern F, Qian Y, Stanton R, Wang K, Brandes A, Ramey J, Aghaeepour N, Mosmann T, Scheuermann RH, Reed E, Palucka K, Pascual V, Blomberg BB, Nestle F, Nussenblatt RB, Brinkman RR, Gottardo R, Maecker H, McCoy JP (2016) Standardizing flow cytometry immunophenotyping analysis from the human immunophenotyping consortium. Sci Rep 6:20686CrossRef Finak G, Langweiler M, Jaimes M, Malek M, Taghiyar J, Korin Y, Raddassi K, Devine L, Obermoser G, Pekalski ML, Pontikos N, Diaz A, Heck S, Villanova F, Terrazzini N, Kern F, Qian Y, Stanton R, Wang K, Brandes A, Ramey J, Aghaeepour N, Mosmann T, Scheuermann RH, Reed E, Palucka K, Pascual V, Blomberg BB, Nestle F, Nussenblatt RB, Brinkman RR, Gottardo R, Maecker H, McCoy JP (2016) Standardizing flow cytometry immunophenotyping analysis from the human immunophenotyping consortium. Sci Rep 6:20686CrossRef
19.
Zurück zum Zitat Bainbridge J, Wilkening CL, Rountree W, Louzao R, Wong J, Perza N, Garcia A, Denny TN (2014) The immunology quality assessment proficiency testing program for CD3+ 4+ and CD3+ 8+ lymphocyte subsets: a ten year review via longitudinal mixed effects modeling. J Immunol Methods 409:82–90CrossRef Bainbridge J, Wilkening CL, Rountree W, Louzao R, Wong J, Perza N, Garcia A, Denny TN (2014) The immunology quality assessment proficiency testing program for CD3+ 4+ and CD3+ 8+ lymphocyte subsets: a ten year review via longitudinal mixed effects modeling. J Immunol Methods 409:82–90CrossRef
20.
Zurück zum Zitat White S, Laske K, Welters MJ, Bidmon N, van der Burg SH, Britten CM, Enzor J, Staats J, Weinhold KJ, Gouttefangeas C, Chan C (2015) managing multi-center flow cytometry data for immune monitoring. Cancer Inf 13:111–122 White S, Laske K, Welters MJ, Bidmon N, van der Burg SH, Britten CM, Enzor J, Staats J, Weinhold KJ, Gouttefangeas C, Chan C (2015) managing multi-center flow cytometry data for immune monitoring. Cancer Inf 13:111–122
21.
Zurück zum Zitat Schadt EE, Linderman MD, Sorenson J, Lee L, Nolan GP (2016) Computational solutions to large-scale data management and analysis. Nat Rev Genet 11:647–657CrossRef Schadt EE, Linderman MD, Sorenson J, Lee L, Nolan GP (2016) Computational solutions to large-scale data management and analysis. Nat Rev Genet 11:647–657CrossRef
22.
Zurück zum Zitat Monaco G, Chen H, Poidinger M, Chen J, de Magalhães JP, Larbi A (2016) flowAI: automatic and interactive anomaly discerning tools for flow cytometry data. Bioinformatics 32:2473–2480CrossRef Monaco G, Chen H, Poidinger M, Chen J, de Magalhães JP, Larbi A (2016) flowAI: automatic and interactive anomaly discerning tools for flow cytometry data. Bioinformatics 32:2473–2480CrossRef
23.
Zurück zum Zitat Fletez-Brant K, Špidlen J, Brinkman RR, Roederer M, Chattopadhyay PK (2016) flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data. Cytometry A 89:461–471CrossRef Fletez-Brant K, Špidlen J, Brinkman RR, Roederer M, Chattopadhyay PK (2016) flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data. Cytometry A 89:461–471CrossRef
24.
Zurück zum Zitat Finak G, Jiang W, Pardo J, Asare A, Gottardo R (2012) QUAliFiER: an automated pipeline for quality assessment of gated flow cytometry data. BMC Bioinform 13:252CrossRef Finak G, Jiang W, Pardo J, Asare A, Gottardo R (2012) QUAliFiER: an automated pipeline for quality assessment of gated flow cytometry data. BMC Bioinform 13:252CrossRef
26.
Zurück zum Zitat Brinkman RR, Aghaeepour N, Finak G, Gottardo R, Mosmann T, Scheuermann RH. Automated analysis of flow cytometry data comes of age. Cytometry A 89:13–15 Brinkman RR, Aghaeepour N, Finak G, Gottardo R, Mosmann T, Scheuermann RH. Automated analysis of flow cytometry data comes of age. Cytometry A 89:13–15
27.
Zurück zum Zitat Kvistborg Pia, Gouttefangeas Cécile, Aghaeepour Nima, Cazaly Angelica, Chattopadhyay Pratip K, Chan Cliburn, Eckl Judith, Finak Greg, Hadrup Sine Reker, Maecker Holden T, Maurer Dominik, Mosmann Tim, Qiu Peng, Scheuermann Richard H, Welters Marij JP, Ferrari Guido, Brinkman Ryan R, Britten Cedrik M (2016) Thinking outside the gate: single-cell assessments in multiple dimensions. Immunity 42:591–592CrossRef Kvistborg Pia, Gouttefangeas Cécile, Aghaeepour Nima, Cazaly Angelica, Chattopadhyay Pratip K, Chan Cliburn, Eckl Judith, Finak Greg, Hadrup Sine Reker, Maecker Holden T, Maurer Dominik, Mosmann Tim, Qiu Peng, Scheuermann Richard H, Welters Marij JP, Ferrari Guido, Brinkman Ryan R, Britten Cedrik M (2016) Thinking outside the gate: single-cell assessments in multiple dimensions. Immunity 42:591–592CrossRef
28.
Zurück zum Zitat Guilliams M, Dutertre CA, Scott CL, McGovern N, Sichien D, Chakarov S, Van Gassen S, Chen J, Poidinger M, De Prijck S, Tavernier SJ, Low I, Irac SE, Mattar CN, Sumatoh HR, Low GH, Chung TJ, Chan DK, Tan KK, Hon TL, Fossum E, Bogen B, Choolani M, Chan JK, Larbi A, Luche H, Henri S, Saeys Y, Newell EW, Lambrecht BN, Malissen B, Ginhoux F (2016) Unsupervised high-dimensional analysis aligns dendritic cells across tissues and species. Immunity 45:669–684CrossRef Guilliams M, Dutertre CA, Scott CL, McGovern N, Sichien D, Chakarov S, Van Gassen S, Chen J, Poidinger M, De Prijck S, Tavernier SJ, Low I, Irac SE, Mattar CN, Sumatoh HR, Low GH, Chung TJ, Chan DK, Tan KK, Hon TL, Fossum E, Bogen B, Choolani M, Chan JK, Larbi A, Luche H, Henri S, Saeys Y, Newell EW, Lambrecht BN, Malissen B, Ginhoux F (2016) Unsupervised high-dimensional analysis aligns dendritic cells across tissues and species. Immunity 45:669–684CrossRef
29.
Zurück zum Zitat Aghaeepour N, Chattopadhyay P, Chikina M, Dhaene T, Van Gassen S, Kursa M, Lambrecht BN, Malek M, McLachlan GJ, Qian Y, Qiu P, Saeys Y, Stanton R, Tong D, Vens C, Walkowiak S, Wang K, Finak G, Gottardo R, Mosmann T, Nolan GP, Scheuermann RH, Brinkman RR (2016) A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes. Cytometry A 89:16–21CrossRef Aghaeepour N, Chattopadhyay P, Chikina M, Dhaene T, Van Gassen S, Kursa M, Lambrecht BN, Malek M, McLachlan GJ, Qian Y, Qiu P, Saeys Y, Stanton R, Tong D, Vens C, Walkowiak S, Wang K, Finak G, Gottardo R, Mosmann T, Nolan GP, Scheuermann RH, Brinkman RR (2016) A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes. Cytometry A 89:16–21CrossRef
30.
Zurück zum Zitat Kleinsteuber K, Corleis B, Rashidi N, Nchinda N, Lisanti A, Cho JL, Medoff BD, Kwon D, Walker BD (2016) Standardization and quality control for high-dimensional mass cytometry studies of human samples. Cytometry A 89:903–913CrossRef Kleinsteuber K, Corleis B, Rashidi N, Nchinda N, Lisanti A, Cho JL, Medoff BD, Kwon D, Walker BD (2016) Standardization and quality control for high-dimensional mass cytometry studies of human samples. Cytometry A 89:903–913CrossRef
Metadaten
Titel
Flow Cytometry in Multi-center and Longitudinal Studies
verfasst von
Anis Larbi
Copyright-Jahr
2017
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-4499-1_5

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