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CAN-ASC publications:

First steps for integrating sex and gender considerations into basic experimental biomedical research. Ritz SA, Antle DM, Côté J, Deroy K, Fraleigh N, Messing K, Parent L, St-Pierre J, Vaillancourt C, Mergler D. 

FASEB J. 2014 Jan;28(1):4-13. doi: 10.1096/fj.13-233395. Epub 2013 Sep 20.

A standardized immune phenotyping and automated data analysis platform for multicenter biomarker studies. Ivison S, Malek M, Garcia RV, Broady R, Halpin A, Richaud M, Brant RF, Wang SI, Goupil M, Guan Q, Ashton P, Warren J, Rajab A, Urschel S, Kumar D, Streitz M, Sawitzki B, Schlickeiser S, Bijl JJ, Wall DA, Delisle JS, West LJ, Brinkman RR, Levings MK.

JCI Insight. 2018 Dec 6;3(23). pii: 121867. doi: 10.1172/jci.insight.121867.

Biomarker-guided stratification of autoimmune patients for biologic therapy. Ivison S, Des Rosiers C, Lesage S, Rioux JD, Levings MK

Curr Opin Immunol. 2017 Dec;49:56-63. doi: 10.1016/j.coi.2017.09.006. Epub 2017 Oct 17.

Presence of an interferon signature in individuals who are anti-nuclear antibody positive lacking a systemic autoimmune rheumatic disease diagnosis. Wither J, Johnson SR, Liu T, Noamani B, Bonilla D, Lisnevskaia L, Silverman E, Bookman A, Landolt-Marticorena C.

Arthritis Res Ther. 2017 Feb 28;19(1):41. doi: 10.1186/s13075-017-1243-y.

Other relevant publications:

A Call for Blood - in Human Immunology. Brodin P, Duffy D, Quintana-Murci L.

Immunity. 2019 June; 50(6):1335-1336. doi - 10.1016/j.immuni.2019.05.012
 

Monitoring regulatory T cells in clinical samples: consensus on an essential marker set and gating strategy for regulatory T cell analysis by flow cytometry. Santegoets SJAM,  Dijkgraaf EM, Battaglia A, Beckhove P, Britten CM, Gallimore A, Godkin A, Gouttefangeas C, de Gruijl TD, Koenen HJPM, Scheffold A, Shevach EM, Staats J, Taskén K, Whiteside TL, Kroep JR, Welters MJP, van der Burg SH.

Cancer Immunol Immunother. 2015 Oct; 64(10):1271-1286. doi - 10.1007/s00262-015-1729-x
 

Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology. Palit S, Heuser C, de Almeida GP, Theis FJ, Zielinski CE. 

Frontiers in Immunology. 2019 July; 10:1515  doi - https://doi.org/10.3389/fimmu.2019.01515

Systems-level immunomonitoring using self-sampled capillary blood. Josyula VS, Lakshmikanth T, Mikes J, Chen Y, Brodinlood P.

bioRxiv. Preprint July 2019. doi - https://doi.org/10.1101/694521

ImmGen report: sexual dimorphism in the immune system transcriptome. Gal-Oz ST, Maier B, Yoshida H, et al.

Nat Commun. 2019 10, 4295 (2019)  doi -10.1038/s41467-019-12348-6

Best practices in performing flow cytometry in a regulated environment: feedback from experience within the European Bioanalysis Forumvan der Strate B, Longdin R, Geerlings M,
Bachmayer N, Cavallin M, Litwin V, Patel M, Passe-Coutrin W, Schoelch C, Companjen A, Fjording MS.

Bioanalysis. August 2017 9(16) 1253-1264 doi - 10.4155/bio-2017-0093

Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE studyStreitz et al.

Transplantation Research 2013 2:17. doi - 10.1186/2047-1440-2-17

Standardisation of flow cytometry for whole blood immunophenotyping of islet transplant and transplant clinical trial recipients. Jimenez Vera E, Chew YV, Nicholson L, Burns H, Anderson P, Chen H-T, et al.

PLoS ONE (2019) 14(5): e0217163. doi - https://doi.org/10.1371/journal.pone.0217163

Guidelines for the use of flow cytometry and cell sorting in immunological studies. Cossarizza, A. et al. 

Eur. J. Immunol. (2017) 47: 1584-1797. doi - 10.1002/eji.201646632

The end of gating? An introduction to automated analysis of high dimensional cytometry data.
Mair F, Hartmann FJ, Mrdjen D, Tosevski V, Krieg C and Becher B.

Eur. J. Immunol. (2016) 46: 34-43. doi - 10.1002/eji.201545774

A Beginner’s Guide to Analyzing and Visualizing Mass Cytometry Data.
Kimball AK, Oko LM, Bullock BL, Nemenoff RA, van Dyk LF and Clambey ET.

The Journal of Immunology. January 2018, 200 (1) 3-22   doi - 10.4049/jimmunol.1701494