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      Comparison of Automated and Manual Gating of Lymphocyte Subsets in Hematopoietic Stem Cell Transplantation Recipients

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      https://www.riss.kr/link?id=A107962225

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      다국어 초록 (Multilingual Abstract)

      Background: Lymphocyte subset analysis is essential to evaluate the engraftment status in hematopoietic stem cell transplantation (HSCT). Au- tomated gating tools are widely used for flow cytometry analysis. Unlike healthy individuals, different cell populations and aberrant expressions may occur in HSCT samples. In the present study, we evaluated the applicability of automated gating in HSCT recipients by comparing it to expert- based manual gating.
      Methods: Lymphocyte subset was performed using Beckman Coulter Navios (Beckman Coulter, USA) flow cytometry. Data files from 22 patients with hematologic malignancies were analyzed in parallel by manual gating and automated gating using Navios Tetra software. Quality control re- sults and reproducibility were evaluated using IMMUNO-TROL controls.
      Results: Spearman rank correlation coefficients between the two gating methods were > 0.970 in all cell populations except CD8+ T cells. CD8+ T cell counts via automated gating were higher than those of manual gating in all cases due to the T cell populations with reduced CD8 ex- pression. Automated gating program failed to identify CD4+CD8+ double-positive T cell population. Moreover, it excluded certain lymphocytes with low forward scatter (FSC) and high side scatter (SSC). Furthermore, two HSCT recipients revealed a high percentage of CD56−CD16+ NK cells, we found the need to add CD16 reagent to the Navios system. All coefficients of variation were < 10% except for CD56+ NK cells via auto- mated gating.
      Conclusions: Manual gating confirmation via flow cytometry histogram is necessary to identify the aberrant phenotypes and unexpected cell populations in HSCT recipients.
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      Background: Lymphocyte subset analysis is essential to evaluate the engraftment status in hematopoietic stem cell transplantation (HSCT). Au- tomated gating tools are widely used for flow cytometry analysis. Unlike healthy individuals, different cell ...

      Background: Lymphocyte subset analysis is essential to evaluate the engraftment status in hematopoietic stem cell transplantation (HSCT). Au- tomated gating tools are widely used for flow cytometry analysis. Unlike healthy individuals, different cell populations and aberrant expressions may occur in HSCT samples. In the present study, we evaluated the applicability of automated gating in HSCT recipients by comparing it to expert- based manual gating.
      Methods: Lymphocyte subset was performed using Beckman Coulter Navios (Beckman Coulter, USA) flow cytometry. Data files from 22 patients with hematologic malignancies were analyzed in parallel by manual gating and automated gating using Navios Tetra software. Quality control re- sults and reproducibility were evaluated using IMMUNO-TROL controls.
      Results: Spearman rank correlation coefficients between the two gating methods were > 0.970 in all cell populations except CD8+ T cells. CD8+ T cell counts via automated gating were higher than those of manual gating in all cases due to the T cell populations with reduced CD8 ex- pression. Automated gating program failed to identify CD4+CD8+ double-positive T cell population. Moreover, it excluded certain lymphocytes with low forward scatter (FSC) and high side scatter (SSC). Furthermore, two HSCT recipients revealed a high percentage of CD56−CD16+ NK cells, we found the need to add CD16 reagent to the Navios system. All coefficients of variation were < 10% except for CD56+ NK cells via auto- mated gating.
      Conclusions: Manual gating confirmation via flow cytometry histogram is necessary to identify the aberrant phenotypes and unexpected cell populations in HSCT recipients.

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      참고문헌 (Reference)

      1 Wood B, "Validation of cell-based fiuorescence assays : practice guidelines from the ICSH and ICCS-part V-assay performance criteria" 84 : 315-323, 2013

      2 Mair F, "The end of gating? An introduction to automated analysis of high dimensional cytometry data" 46 : 34-43, 2016

      3 Kim DH, "Rapid helper T-cell recovery above 200×106/l at 3 months correlates to successful transplant outcomes after allogeneic stem cell transplantation" 37 : 1119-1128, 2006

      4 Hu PF, "Natural killer cell immunodeflciency in HIV disease is manifest by profoundly decreased numbers of CD16+CD56+ cells and expansion of a population of CD16dimCD56-cells with low lytic activity" 10 : 331-340, 1995

      5 Frelinger J, "Modeling fiow cytometry data for cancer vaccine immune monitoring" 59 : 1435-1441, 2010

      6 Brinkman RR, "Improving the rigor and reproducibility of fiow cytometry-based clinical research and trials through automated data analysis" 97 : 107-112, 2020

      7 Linskens E, "Improved standardization of fiow cytometry diagnostic screening of primary immunodeflciency by software-based automated gating" 11 : 584646-, 2020

      8 Conrad VK, "Implementation and validation of an automated fiow cytometry analysis pipeline for human immune proflling" 95 : 183-191, 2019

      9 Peggs KS, "Immune reconstitution following haematopoietic stem cell transplantation" 124 : 407-420, 2004

      10 Williams KM, "Immune reconstitution and implications for immunotherapy following haematopoietic stem cell transplantation" 21 : 579-596, 2008

      1 Wood B, "Validation of cell-based fiuorescence assays : practice guidelines from the ICSH and ICCS-part V-assay performance criteria" 84 : 315-323, 2013

      2 Mair F, "The end of gating? An introduction to automated analysis of high dimensional cytometry data" 46 : 34-43, 2016

      3 Kim DH, "Rapid helper T-cell recovery above 200×106/l at 3 months correlates to successful transplant outcomes after allogeneic stem cell transplantation" 37 : 1119-1128, 2006

      4 Hu PF, "Natural killer cell immunodeflciency in HIV disease is manifest by profoundly decreased numbers of CD16+CD56+ cells and expansion of a population of CD16dimCD56-cells with low lytic activity" 10 : 331-340, 1995

      5 Frelinger J, "Modeling fiow cytometry data for cancer vaccine immune monitoring" 59 : 1435-1441, 2010

      6 Brinkman RR, "Improving the rigor and reproducibility of fiow cytometry-based clinical research and trials through automated data analysis" 97 : 107-112, 2020

      7 Linskens E, "Improved standardization of fiow cytometry diagnostic screening of primary immunodeflciency by software-based automated gating" 11 : 584646-, 2020

      8 Conrad VK, "Implementation and validation of an automated fiow cytometry analysis pipeline for human immune proflling" 95 : 183-191, 2019

      9 Peggs KS, "Immune reconstitution following haematopoietic stem cell transplantation" 124 : 407-420, 2004

      10 Williams KM, "Immune reconstitution and implications for immunotherapy following haematopoietic stem cell transplantation" 21 : 579-596, 2008

      11 Storek J, "Immune reconstitution after allogeneic marrow transplantation compared with blood stem cell transplantation" 97 : 3380-3389, 2001

      12 Trautmann A, "Human CD8 T cells of the peripheral blood contain a low CD8 expressing cytotoxic/effector subpopulation" 108 : 305-312, 2003

      13 Jacobson A, "Healthy neonates possess a CD56-negative NK cell population with reduced anti-viral activity" 8 : e67700-, 2013

      14 Favre D, "HIV disease progression correlates with the generation of dysfunctional naive CD8low T cells" 117 : 2189-2199, 2011

      15 Mandy FF, "Guidelines for performing single-platform absolute CD4+ T-cell determinations with CD45 gating for persons infected with human immunodeflciency virus. Centers for Disease Control and Prevention" 52 : 1-13, 2003

      16 Montante S, "Flow cytometry data analysis : Recent tools and algorithms" 41 (41): 56-62, 2019

      17 Savani BN, "Factors associated with early molecular remission after T cell-depleted allogeneic stem cell transplantation for chronic myelogenous leukemia" 107 : 1688-1695, 2006

      18 De Angelis C, "Expansion of CD56-negative, CD16-positive, KIR-expressing natural killer cells after T cell-depleted haploidentical hematopoietic stem cell transplantation" 126 : 13-20, 2011

      19 Flores-Montero J, "EuroFlow Lymphoid Screening Tube(LST)data base for automated identiflcation of blood lymphocyte subsets" 475 : 112662-, 2019

      20 Clinical and Laboratory Standards Institute, "Enumeration of immunologically deflned cell populations by fiow cytometry; Approved guideline-Second edition" Clinical and Laboratory Standards Institute 21-22, 2007

      21 Aghaeepour N, "Critical assessment of automated fiow cytometry data analysis techniques" 10 : 228-238, 2013

      22 Ouyang L, "CD8low T-cell subpopulation is increased in patients with chronic hepatitis B virus infection" 56 : 698-704, 2013

      23 Marins-Dos-Santos A, "CD8low T cells expanded following acute Trypanosoma cruzi infection and benznidazole treatment are a relevant subset of IFN-gamma producers" 14 : e0008969-, 2020

      24 Liu B, "CD8low CD100-T cells identify a novel CD8 T cell subset associated with viral control during human Hantaan virus infection" 89 : 11834-11844, 2015

      25 Xu H, "CD8 down-regulation and functional impairment of SIV-speciflc cytotoxic T lymphocytes in lymphoid and mucosal tissues during SIV infection" 93 : 943-950, 2013

      26 Milush JM, "CD56negCD16+ NK cells are activated mature NK cells with impaired effector function during HIV-1 infection" 10 : 158-, 2013

      27 Van Acker HH, "CD56 in the immune system : more than a marker for cytotoxicity?" 8 : 892-, 2017

      28 Alhaj Hussen K, "CD4+CD8+ T-lymphocytes in xenogeneic and human graft-versus-host disease" 11 : 579776-, 2020

      29 Overgaard NH, "CD4+/CD8+ double-positive T cells : more than just a developmental stage?" 97 : 31-38, 2015

      30 Lu X, "CD16+ CD56-NK cells in the peripheral blood of cord blood transplant recipients : a unique subset of NK cells possibly associated with graft-versus-leukemia effect" 81 : 18-25, 2008

      31 Diallo TO, "Automation for clinical CD4 T-cell enumeration, a desirable tool in the hands of skilled operators" 92 : 445-450, 2017

      32 Meehan S, "AutoGate : automating analysis of fiow cytometry data" 58 : 218-223, 2014

      33 Verschoor CP, "An introduction to automated fiow cytometry gating tools and their implementation" 6 : 380-, 2015

      34 Forconi CS, "A New Hope for CD56negCD16pos NK cells as unconventional cytotoxic mediators : An adaptation to chronic diseases" 10 : 162-, 2020

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2012-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2011-01-01 평가 학술지 분리 (기타) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.16 0.16 0.11
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.09 0.09 0.306 0.05
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