Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases
Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the ma...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Okano, Tsubasa [verfasserIn] Tsujita, Yuki [verfasserIn] Kanegane, Hirokazu [verfasserIn] Mitsui-Sekinaka, Kanako [verfasserIn] Tanita, Kay [verfasserIn] Miyamoto, Satoshi [verfasserIn] Yeh, Tzu-Wen [verfasserIn] Yamashita, Motoi [verfasserIn] Terada, Naomi [verfasserIn] Ogura, Yumi [verfasserIn] Takagi, Masatoshi [verfasserIn] Imai, Kohsuke [verfasserIn] Nonoyama, Shigeaki [verfasserIn] Morio, Tomohiro [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of clinical immunology - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981, 38(2018), 3 vom: Apr., Seite 300-306 |
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| Übergeordnetes Werk: |
volume:38 ; year:2018 ; number:3 ; month:04 ; pages:300-306 |
| Links: |
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| DOI / URN: |
10.1007/s10875-018-0497-8 |
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| Katalog-ID: |
SPR014247992 |
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| 245 | 1 | 0 | |a Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases |
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| 520 | |a Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. | ||
| 650 | 4 | |a Droplet digital PCR |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a chimerism |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a severe combined immunodeficiency |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a hematopoietic stem cell transplantation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Tsujita, Yuki |e verfasserin |4 aut | |
| 700 | 1 | |a Kanegane, Hirokazu |e verfasserin |4 aut | |
| 700 | 1 | |a Mitsui-Sekinaka, Kanako |e verfasserin |4 aut | |
| 700 | 1 | |a Tanita, Kay |e verfasserin |4 aut | |
| 700 | 1 | |a Miyamoto, Satoshi |e verfasserin |4 aut | |
| 700 | 1 | |a Yeh, Tzu-Wen |e verfasserin |4 aut | |
| 700 | 1 | |a Yamashita, Motoi |e verfasserin |4 aut | |
| 700 | 1 | |a Terada, Naomi |e verfasserin |4 aut | |
| 700 | 1 | |a Ogura, Yumi |e verfasserin |4 aut | |
| 700 | 1 | |a Takagi, Masatoshi |e verfasserin |4 aut | |
| 700 | 1 | |a Imai, Kohsuke |e verfasserin |4 aut | |
| 700 | 1 | |a Nonoyama, Shigeaki |e verfasserin |4 aut | |
| 700 | 1 | |a Morio, Tomohiro |e verfasserin |4 aut | |
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10.1007/s10875-018-0497-8 doi (DE-627)SPR014247992 (SPR)s10875-018-0497-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.45 bkl Okano, Tsubasa verfasserin aut Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. Droplet digital PCR (dpeaa)DE-He213 chimerism (dpeaa)DE-He213 severe combined immunodeficiency (dpeaa)DE-He213 hematopoietic stem cell transplantation (dpeaa)DE-He213 Tsujita, Yuki verfasserin aut Kanegane, Hirokazu verfasserin aut Mitsui-Sekinaka, Kanako verfasserin aut Tanita, Kay verfasserin aut Miyamoto, Satoshi verfasserin aut Yeh, Tzu-Wen verfasserin aut Yamashita, Motoi verfasserin aut Terada, Naomi verfasserin aut Ogura, Yumi verfasserin aut Takagi, Masatoshi verfasserin aut Imai, Kohsuke verfasserin aut Nonoyama, Shigeaki verfasserin aut Morio, Tomohiro verfasserin aut Enthalten in Journal of clinical immunology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 38(2018), 3 vom: Apr., Seite 300-306 (DE-627)320573362 (DE-600)2016755-6 1573-2592 nnns volume:38 year:2018 number:3 month:04 pages:300-306 https://dx.doi.org/10.1007/s10875-018-0497-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.45 ASE AR 38 2018 3 04 300-306 |
| spelling |
10.1007/s10875-018-0497-8 doi (DE-627)SPR014247992 (SPR)s10875-018-0497-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.45 bkl Okano, Tsubasa verfasserin aut Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. Droplet digital PCR (dpeaa)DE-He213 chimerism (dpeaa)DE-He213 severe combined immunodeficiency (dpeaa)DE-He213 hematopoietic stem cell transplantation (dpeaa)DE-He213 Tsujita, Yuki verfasserin aut Kanegane, Hirokazu verfasserin aut Mitsui-Sekinaka, Kanako verfasserin aut Tanita, Kay verfasserin aut Miyamoto, Satoshi verfasserin aut Yeh, Tzu-Wen verfasserin aut Yamashita, Motoi verfasserin aut Terada, Naomi verfasserin aut Ogura, Yumi verfasserin aut Takagi, Masatoshi verfasserin aut Imai, Kohsuke verfasserin aut Nonoyama, Shigeaki verfasserin aut Morio, Tomohiro verfasserin aut Enthalten in Journal of clinical immunology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 38(2018), 3 vom: Apr., Seite 300-306 (DE-627)320573362 (DE-600)2016755-6 1573-2592 nnns volume:38 year:2018 number:3 month:04 pages:300-306 https://dx.doi.org/10.1007/s10875-018-0497-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.45 ASE AR 38 2018 3 04 300-306 |
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10.1007/s10875-018-0497-8 doi (DE-627)SPR014247992 (SPR)s10875-018-0497-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.45 bkl Okano, Tsubasa verfasserin aut Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. Droplet digital PCR (dpeaa)DE-He213 chimerism (dpeaa)DE-He213 severe combined immunodeficiency (dpeaa)DE-He213 hematopoietic stem cell transplantation (dpeaa)DE-He213 Tsujita, Yuki verfasserin aut Kanegane, Hirokazu verfasserin aut Mitsui-Sekinaka, Kanako verfasserin aut Tanita, Kay verfasserin aut Miyamoto, Satoshi verfasserin aut Yeh, Tzu-Wen verfasserin aut Yamashita, Motoi verfasserin aut Terada, Naomi verfasserin aut Ogura, Yumi verfasserin aut Takagi, Masatoshi verfasserin aut Imai, Kohsuke verfasserin aut Nonoyama, Shigeaki verfasserin aut Morio, Tomohiro verfasserin aut Enthalten in Journal of clinical immunology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 38(2018), 3 vom: Apr., Seite 300-306 (DE-627)320573362 (DE-600)2016755-6 1573-2592 nnns volume:38 year:2018 number:3 month:04 pages:300-306 https://dx.doi.org/10.1007/s10875-018-0497-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.45 ASE AR 38 2018 3 04 300-306 |
| allfieldsGer |
10.1007/s10875-018-0497-8 doi (DE-627)SPR014247992 (SPR)s10875-018-0497-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.45 bkl Okano, Tsubasa verfasserin aut Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. Droplet digital PCR (dpeaa)DE-He213 chimerism (dpeaa)DE-He213 severe combined immunodeficiency (dpeaa)DE-He213 hematopoietic stem cell transplantation (dpeaa)DE-He213 Tsujita, Yuki verfasserin aut Kanegane, Hirokazu verfasserin aut Mitsui-Sekinaka, Kanako verfasserin aut Tanita, Kay verfasserin aut Miyamoto, Satoshi verfasserin aut Yeh, Tzu-Wen verfasserin aut Yamashita, Motoi verfasserin aut Terada, Naomi verfasserin aut Ogura, Yumi verfasserin aut Takagi, Masatoshi verfasserin aut Imai, Kohsuke verfasserin aut Nonoyama, Shigeaki verfasserin aut Morio, Tomohiro verfasserin aut Enthalten in Journal of clinical immunology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 38(2018), 3 vom: Apr., Seite 300-306 (DE-627)320573362 (DE-600)2016755-6 1573-2592 nnns volume:38 year:2018 number:3 month:04 pages:300-306 https://dx.doi.org/10.1007/s10875-018-0497-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.45 ASE AR 38 2018 3 04 300-306 |
| allfieldsSound |
10.1007/s10875-018-0497-8 doi (DE-627)SPR014247992 (SPR)s10875-018-0497-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.45 bkl Okano, Tsubasa verfasserin aut Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. Droplet digital PCR (dpeaa)DE-He213 chimerism (dpeaa)DE-He213 severe combined immunodeficiency (dpeaa)DE-He213 hematopoietic stem cell transplantation (dpeaa)DE-He213 Tsujita, Yuki verfasserin aut Kanegane, Hirokazu verfasserin aut Mitsui-Sekinaka, Kanako verfasserin aut Tanita, Kay verfasserin aut Miyamoto, Satoshi verfasserin aut Yeh, Tzu-Wen verfasserin aut Yamashita, Motoi verfasserin aut Terada, Naomi verfasserin aut Ogura, Yumi verfasserin aut Takagi, Masatoshi verfasserin aut Imai, Kohsuke verfasserin aut Nonoyama, Shigeaki verfasserin aut Morio, Tomohiro verfasserin aut Enthalten in Journal of clinical immunology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 38(2018), 3 vom: Apr., Seite 300-306 (DE-627)320573362 (DE-600)2016755-6 1573-2592 nnns volume:38 year:2018 number:3 month:04 pages:300-306 https://dx.doi.org/10.1007/s10875-018-0497-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.45 ASE AR 38 2018 3 04 300-306 |
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Enthalten in Journal of clinical immunology 38(2018), 3 vom: Apr., Seite 300-306 volume:38 year:2018 number:3 month:04 pages:300-306 |
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Droplet digital PCR chimerism severe combined immunodeficiency hematopoietic stem cell transplantation |
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Journal of clinical immunology |
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Okano, Tsubasa @@aut@@ Tsujita, Yuki @@aut@@ Kanegane, Hirokazu @@aut@@ Mitsui-Sekinaka, Kanako @@aut@@ Tanita, Kay @@aut@@ Miyamoto, Satoshi @@aut@@ Yeh, Tzu-Wen @@aut@@ Yamashita, Motoi @@aut@@ Terada, Naomi @@aut@@ Ogura, Yumi @@aut@@ Takagi, Masatoshi @@aut@@ Imai, Kohsuke @@aut@@ Nonoyama, Shigeaki @@aut@@ Morio, Tomohiro @@aut@@ |
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2018-04-01T00:00:00Z |
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Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. 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Okano, Tsubasa |
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Okano, Tsubasa ddc 610 bkl 44.45 misc Droplet digital PCR misc chimerism misc severe combined immunodeficiency misc hematopoietic stem cell transplantation Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases |
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610 ASE 44.45 bkl Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases Droplet digital PCR (dpeaa)DE-He213 chimerism (dpeaa)DE-He213 severe combined immunodeficiency (dpeaa)DE-He213 hematopoietic stem cell transplantation (dpeaa)DE-He213 |
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ddc 610 bkl 44.45 misc Droplet digital PCR misc chimerism misc severe combined immunodeficiency misc hematopoietic stem cell transplantation |
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ddc 610 bkl 44.45 misc Droplet digital PCR misc chimerism misc severe combined immunodeficiency misc hematopoietic stem cell transplantation |
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Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases |
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Okano, Tsubasa Tsujita, Yuki Kanegane, Hirokazu Mitsui-Sekinaka, Kanako Tanita, Kay Miyamoto, Satoshi Yeh, Tzu-Wen Yamashita, Motoi Terada, Naomi Ogura, Yumi Takagi, Masatoshi Imai, Kohsuke Nonoyama, Shigeaki Morio, Tomohiro |
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droplet digital pcr-based chimerism analysis for primary immunodeficiency diseases |
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Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases |
| abstract |
Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. |
| abstractGer |
Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. |
| abstract_unstemmed |
Objective In the current study, we aimed to accurately evaluate donor/recipient or male/female chimerism in samples from patients who underwent hematopoietic stem cell transplantation (HSCT). Methods We designed the droplet digital polymerase chain reaction (ddPCR) for SRY and RPP30 to detect the male/female chimerism. We also developed mutation-specific ddPCR for four primary immunodeficiency diseases. Results The accuracy of the male/female chimerism analysis using ddPCR was confirmed by comparing the results with those of conventional methods (fluorescence in situ hybridization and short tandem repeat-PCR) and evaluating dilution assays. In particular, we found that this method was useful for analyzing small samples. Thus, this method could be used with patient samples, especially to sorted leukocyte subpopulations, during the early post-transplant period. Four mutation-specific ddPCR accurately detected post-transplant chimerism. Conclusion ddPCR-based male/female chimerism analysis and mutation-specific ddPCR were useful for all HSCT, and these simple methods contribute to following the post-transplant chimerism, especially in disease-specific small leukocyte fractions. |
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Droplet Digital PCR-Based Chimerism Analysis for Primary Immunodeficiency Diseases |
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Tsujita, Yuki Kanegane, Hirokazu Mitsui-Sekinaka, Kanako Tanita, Kay Miyamoto, Satoshi Yeh, Tzu-Wen Yamashita, Motoi Terada, Naomi Ogura, Yumi Takagi, Masatoshi Imai, Kohsuke Nonoyama, Shigeaki Morio, Tomohiro |
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| score |
7.4007273 |