CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq
CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the f...
Ausführliche Beschreibung
Autor*in: |
Li, Yanling [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2022 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2022 |
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Übergeordnetes Werk: |
Enthalten in: Molecular biology reports - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973, 50(2022), 2 vom: 06. Dez., Seite 1961-1966 |
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Übergeordnetes Werk: |
volume:50 ; year:2022 ; number:2 ; day:06 ; month:12 ; pages:1961-1966 |
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DOI / URN: |
10.1007/s11033-022-08138-x |
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Katalog-ID: |
SPR049200682 |
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100 | 1 | |a Li, Yanling |e verfasserin |4 aut | |
245 | 1 | 0 | |a Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq |
264 | 1 | |c 2022 | |
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520 | |a Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. | ||
650 | 4 | |a Leukemia |7 (dpeaa)DE-He213 | |
650 | 4 | |a Myeloid |7 (dpeaa)DE-He213 | |
650 | 4 | |a Acute |7 (dpeaa)DE-He213 | |
650 | 4 | |a Gene fusion |7 (dpeaa)DE-He213 | |
650 | 4 | |a RNA-seq |7 (dpeaa)DE-He213 | |
700 | 1 | |a Liu, Yao |4 aut | |
700 | 1 | |a Gao, Xinyu |4 aut | |
700 | 1 | |a Zhao, Weiwei |4 aut | |
700 | 1 | |a Zhou, Fanghui |4 aut | |
700 | 1 | |a Liu, Hongxing |4 aut | |
700 | 1 | |a Wang, Wei |4 aut | |
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10.1007/s11033-022-08138-x doi (DE-627)SPR049200682 (SPR)s11033-022-08138-x-e DE-627 ger DE-627 rakwb eng Li, Yanling verfasserin aut Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. Leukemia (dpeaa)DE-He213 Myeloid (dpeaa)DE-He213 Acute (dpeaa)DE-He213 Gene fusion (dpeaa)DE-He213 RNA-seq (dpeaa)DE-He213 Liu, Yao aut Gao, Xinyu aut Zhao, Weiwei aut Zhou, Fanghui aut Liu, Hongxing aut Wang, Wei aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 50(2022), 2 vom: 06. Dez., Seite 1961-1966 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:50 year:2022 number:2 day:06 month:12 pages:1961-1966 https://dx.doi.org/10.1007/s11033-022-08138-x 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 50 2022 2 06 12 1961-1966 |
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10.1007/s11033-022-08138-x doi (DE-627)SPR049200682 (SPR)s11033-022-08138-x-e DE-627 ger DE-627 rakwb eng Li, Yanling verfasserin aut Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. Leukemia (dpeaa)DE-He213 Myeloid (dpeaa)DE-He213 Acute (dpeaa)DE-He213 Gene fusion (dpeaa)DE-He213 RNA-seq (dpeaa)DE-He213 Liu, Yao aut Gao, Xinyu aut Zhao, Weiwei aut Zhou, Fanghui aut Liu, Hongxing aut Wang, Wei aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 50(2022), 2 vom: 06. Dez., Seite 1961-1966 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:50 year:2022 number:2 day:06 month:12 pages:1961-1966 https://dx.doi.org/10.1007/s11033-022-08138-x 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 50 2022 2 06 12 1961-1966 |
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10.1007/s11033-022-08138-x doi (DE-627)SPR049200682 (SPR)s11033-022-08138-x-e DE-627 ger DE-627 rakwb eng Li, Yanling verfasserin aut Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. Leukemia (dpeaa)DE-He213 Myeloid (dpeaa)DE-He213 Acute (dpeaa)DE-He213 Gene fusion (dpeaa)DE-He213 RNA-seq (dpeaa)DE-He213 Liu, Yao aut Gao, Xinyu aut Zhao, Weiwei aut Zhou, Fanghui aut Liu, Hongxing aut Wang, Wei aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 50(2022), 2 vom: 06. Dez., Seite 1961-1966 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:50 year:2022 number:2 day:06 month:12 pages:1961-1966 https://dx.doi.org/10.1007/s11033-022-08138-x 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 50 2022 2 06 12 1961-1966 |
allfieldsGer |
10.1007/s11033-022-08138-x doi (DE-627)SPR049200682 (SPR)s11033-022-08138-x-e DE-627 ger DE-627 rakwb eng Li, Yanling verfasserin aut Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. Leukemia (dpeaa)DE-He213 Myeloid (dpeaa)DE-He213 Acute (dpeaa)DE-He213 Gene fusion (dpeaa)DE-He213 RNA-seq (dpeaa)DE-He213 Liu, Yao aut Gao, Xinyu aut Zhao, Weiwei aut Zhou, Fanghui aut Liu, Hongxing aut Wang, Wei aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 50(2022), 2 vom: 06. Dez., Seite 1961-1966 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:50 year:2022 number:2 day:06 month:12 pages:1961-1966 https://dx.doi.org/10.1007/s11033-022-08138-x 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 50 2022 2 06 12 1961-1966 |
allfieldsSound |
10.1007/s11033-022-08138-x doi (DE-627)SPR049200682 (SPR)s11033-022-08138-x-e DE-627 ger DE-627 rakwb eng Li, Yanling verfasserin aut Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. Leukemia (dpeaa)DE-He213 Myeloid (dpeaa)DE-He213 Acute (dpeaa)DE-He213 Gene fusion (dpeaa)DE-He213 RNA-seq (dpeaa)DE-He213 Liu, Yao aut Gao, Xinyu aut Zhao, Weiwei aut Zhou, Fanghui aut Liu, Hongxing aut Wang, Wei aut Enthalten in Molecular biology reports Dordrecht [u.a.] : Springer Science + Business Media B.V, 1973 50(2022), 2 vom: 06. Dez., Seite 1961-1966 (DE-627)270930639 (DE-600)1478217-0 1573-4978 nnns volume:50 year:2022 number:2 day:06 month:12 pages:1961-1966 https://dx.doi.org/10.1007/s11033-022-08138-x 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 50 2022 2 06 12 1961-1966 |
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Li, Yanling @@aut@@ Liu, Yao @@aut@@ Gao, Xinyu @@aut@@ Zhao, Weiwei @@aut@@ Zhou, Fanghui @@aut@@ Liu, Hongxing @@aut@@ Wang, Wei @@aut@@ |
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The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. 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Li, Yanling misc Leukemia misc Myeloid misc Acute misc Gene fusion misc RNA-seq Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq |
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Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq Leukemia (dpeaa)DE-He213 Myeloid (dpeaa)DE-He213 Acute (dpeaa)DE-He213 Gene fusion (dpeaa)DE-He213 RNA-seq (dpeaa)DE-He213 |
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Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq |
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identification of novel piezo1::cbfa2t3 and ino80c::setbp1 fusion genes in an acute myeloid leukemia patient by rna-seq |
title_auth |
Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq |
abstract |
Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. © The Author(s), under exclusive licence to Springer Nature B.V. 2022 |
abstractGer |
Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. © The Author(s), under exclusive licence to Springer Nature B.V. 2022 |
abstract_unstemmed |
Background Fusion genes are recurrent molecular aberrations in acute myeloid leukemia, with significant diagnostic and therapeutic value. The identification of novel fusion genes provides advanced biomarkers for diagnosis and facilitates the discovery of drug targets. Methods Bone marrow sample was extracted from an acute myeloid leukemia patient and RNA-sequencing was performed. Several bioinformatic methods, including differential analysis and Gene Set Enrichment Analysis (GSEA) pathway analyses were conducted based on the expression data. Results Two novel fusion genes, PIEZO1::CBFA2T3 and INO80C::SETBP1, were identified by RNA-seq. Differential analysis found that SETBP1 and CBFA2T3 were overexpressed, and GSEA analysis showed the activation of immune-related pathways. These findings indicate dysfunction of the fusion related- genes and possible pathogenic effect of the fusion genes. Conclusion We reported a male AML patient with presence of PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes. © The Author(s), under exclusive licence to Springer Nature B.V. 2022 |
collection_details |
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container_issue |
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title_short |
Identification of novel PIEZO1::CBFA2T3 and INO80C::SETBP1 fusion genes in an acute myeloid leukemia patient by RNA-seq |
url |
https://dx.doi.org/10.1007/s11033-022-08138-x |
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author2 |
Liu, Yao Gao, Xinyu Zhao, Weiwei Zhou, Fanghui Liu, Hongxing Wang, Wei |
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doi_str |
10.1007/s11033-022-08138-x |
up_date |
2024-07-03T23:48:21.424Z |
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score |
7.3976994 |