Literature DB >> 30570217

Implementation and Validation of an Automated Flow Cytometry Analysis Pipeline for Human Immune Profiling.

Valerie K Conrad1, Christopher J Dubay1, Mehrnoush Malek2, Ryan R Brinkman2,3, Yoshinobu Koguchi1, William L Redmond1.   

Abstract

Automated reagent preparation, sample processing, and data acquisition have increased the rate at which flow cytometry data can be generated. Furthermore, advances in technology and flow cytometry instrumentation continually increase the complexity and dimensionality of this data. Together, this leads to increased pressure on manual data analysis, which has inherent limitations including subjectivity of the analyst and the length of time needed for data processing. These issues can create bottlenecks in the data processing workflow and potentially compromise data quality. To address these issues, as well as the challenges associated with manual gating in a high-volume human immune profiling laboratory, we sought to implement an automated analysis pipeline. In this report, we discuss considerations for selecting an automated analysis method, the process of implementing an automated pipeline, and detail our successful incorporation of an automated gating strategy with flowDensity into our analysis workflow. This validated pipeline augments our laboratory's ability to provide rapid high-throughput immune profiling for patients participating in cancer immunotherapy clinical trials. © International Society for Advancement of Cytometry. © International Society for Advancement of Cytometry.

Entities:  

Keywords:  T cells; automated analysis; automated gating; cancer; flowDensity; immune profiling; immunotherapy

Mesh:

Year:  2018        PMID: 30570217     DOI: 10.1002/cyto.a.23664

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  7 in total

1.  SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.

Authors:  Siwen Hu-Lieskovan; Srabani Bhaumik; Kavita Dhodapkar; Jean-Charles J B Grivel; Sumati Gupta; Brent A Hanks; Sylvia Janetzki; Thomas O Kleen; Yoshinobu Koguchi; Amanda W Lund; Cristina Maccalli; Yolanda D Mahnke; Ruslan D Novosiadly; Senthamil R Selvan; Tasha Sims; Yingdong Zhao; Holden T Maecker
Journal:  J Immunother Cancer       Date:  2020-12       Impact factor: 13.751

2.  Standardization procedure for flow cytometry data harmonization in prospective multicenter studies.

Authors:  Lucas Le Lann; Pierre-Emmanuel Jouve; Marta Alarcón-Riquelme; Christophe Jamin; Jacques-Olivier Pers
Journal:  Sci Rep       Date:  2020-07-14       Impact factor: 4.379

Review 3.  Flow-Cytometric Monitoring of Minimal Residual Disease in Pediatric Patients With Acute Myeloid Leukemia: Recent Advances and Future Strategies.

Authors:  Barbara Buldini; Margarita Maurer-Granofszky; Elena Varotto; Michael N Dworzak
Journal:  Front Pediatr       Date:  2019-10-11       Impact factor: 3.418

4.  T cell Co-Stimulatory molecules ICOS and CD28 stratify idiopathic pulmonary fibrosis survival.

Authors:  Catherine A Bonham; Cara L Hrusch; Kelly M Blaine; Stephenie T Manns; Rekha Vij; Justin M Oldham; Matthew M Churpek; Mary E Strek; Imre Noth; Anne I Sperling
Journal:  Respir Med X       Date:  2019-02-01

5.  Implementing flowDensity for Automated Analysis of Bone Marrow Lymphocyte Population.

Authors:  Ghazaleh Eskandari; Sishir Subedi; Paul Christensen; Randall J Olsen; Youli Zu; Scott W Long
Journal:  J Pathol Inform       Date:  2021-12-09

6.  Peripheral immunophenotyping of AITD subjects reveals alterations in immune cells in pediatric vs adult-onset AITD.

Authors:  Zachary C Stensland; Brianne M Coleman; Marynette Rihanek; Ryan M Baxter; Peter A Gottlieb; Elena W Y Hsieh; Virginia D Sarapura; Kimber M Simmons; John C Cambier; Mia J Smith
Journal:  iScience       Date:  2021-12-13

7.  An Extensive Quality Control and Quality Assurance (QC/QA) Program Significantly Improves Inter-Laboratory Concordance Rates of Flow-Cytometric Minimal Residual Disease Assessment in Acute Lymphoblastic Leukemia: An I-BFM-FLOW-Network Report.

Authors:  Margarita Maurer-Granofszky; Angela Schumich; Barbara Buldini; Giuseppe Gaipa; Janos Kappelmayer; Ester Mejstrikova; Leonid Karawajew; Jorge Rossi; Adın Çınar Suzan; Evangelina Agriello; Theodora Anastasiou-Grenzelia; Virna Barcala; Gábor Barna; Drago Batinić; Jean-Pierre Bourquin; Monika Brüggemann; Karolina Bukowska-Strakova; Hasan Burnusuzov; Daniela Carelli; Günnur Deniz; Klara Dubravčić; Tamar Feuerstein; Marie Isabel Gaillard; Adriana Galeano; Hugo Giordano; Alejandro Gonzalez; Stefanie Groeneveld-Krentz; Zsuzsanna Hevessy; Ondrej Hrusak; Maria Belen Iarossi; Pál Jáksó; Veronika Kloboves Prevodnik; Saskia Kohlscheen; Elena Kreminska; Oscar Maglia; Cecilia Malusardi; Neda Marinov; Bibiana Maria Martin; Claudia Möller; Sergey Nikulshin; Jorge Palazzi; Georgios Paterakis; Alexander Popov; Richard Ratei; Cecilia Rodríguez; Elisa Olga Sajaroff; Simona Sala; Gordana Samardzija; Mary Sartor; Pamela Scarparo; Łukasz Sędek; Bojana Slavkovic; Liliana Solari; Peter Svec; Tomasz Szczepanski; Anna Taparkou; Montserrat Torrebadell; Marianna Tzanoudaki; Elena Varotto; Helly Vernitsky; Andishe Attarbaschi; Martin Schrappe; Valentino Conter; Andrea Biondi; Marisa Felice; Myriam Campbell; Csongor Kiss; Giuseppe Basso; Michael N Dworzak
Journal:  Cancers (Basel)       Date:  2021-12-06       Impact factor: 6.639

  7 in total

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