author_facet Lee, Carolyn S.
Ungewickell, Alexander
Bhaduri, Aparna
Qu, Kun
Webster, Dan E.
Armstrong, Randall
Weng, Wen-Kai
Aros, Cody J.
Mah, Angela
Chen, Richard O.
Lin, Meihong
Sundram, Uma
Chang, Howard Y.
Kretz, Markus
Kim, Youn H.
Khavari, Paul A.
Lee, Carolyn S.
Ungewickell, Alexander
Bhaduri, Aparna
Qu, Kun
Webster, Dan E.
Armstrong, Randall
Weng, Wen-Kai
Aros, Cody J.
Mah, Angela
Chen, Richard O.
Lin, Meihong
Sundram, Uma
Chang, Howard Y.
Kretz, Markus
Kim, Youn H.
Khavari, Paul A.
author Lee, Carolyn S.
Ungewickell, Alexander
Bhaduri, Aparna
Qu, Kun
Webster, Dan E.
Armstrong, Randall
Weng, Wen-Kai
Aros, Cody J.
Mah, Angela
Chen, Richard O.
Lin, Meihong
Sundram, Uma
Chang, Howard Y.
Kretz, Markus
Kim, Youn H.
Khavari, Paul A.
spellingShingle Lee, Carolyn S.
Ungewickell, Alexander
Bhaduri, Aparna
Qu, Kun
Webster, Dan E.
Armstrong, Randall
Weng, Wen-Kai
Aros, Cody J.
Mah, Angela
Chen, Richard O.
Lin, Meihong
Sundram, Uma
Chang, Howard Y.
Kretz, Markus
Kim, Youn H.
Khavari, Paul A.
Blood
Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
Cell Biology
Hematology
Immunology
Biochemistry
author_sort lee, carolyn s.
spelling Lee, Carolyn S. Ungewickell, Alexander Bhaduri, Aparna Qu, Kun Webster, Dan E. Armstrong, Randall Weng, Wen-Kai Aros, Cody J. Mah, Angela Chen, Richard O. Lin, Meihong Sundram, Uma Chang, Howard Y. Kretz, Markus Kim, Youn H. Khavari, Paul A. 0006-4971 1528-0020 American Society of Hematology Cell Biology Hematology Immunology Biochemistry http://dx.doi.org/10.1182/blood-2012-04-423061 <jats:title>Abstract</jats:title><jats:p>Sézary syndrome (SS) is an aggressive cutaneous T-cell lymphoma (CTCL) of unknown etiology in which malignant cells circulate in the peripheral blood. To identify viral elements, gene fusions, and gene expression patterns associated with this lymphoma, flow cytometry was used to obtain matched pure populations of malignant Sézary cells (SCs) versus nonmalignant CD4+ T cells from 3 patients for whole transcriptome, paired-end sequencing with an average depth of 112 million reads per sample. Pathway analysis of differentially expressed genes identified mis-regulation of PI3K/Akt, TGFβ, and NF-κB pathways as well as T-cell receptor signaling. Bioinformatic analysis did not detect either nonhuman transcripts to support a viral etiology of SS or recurrently expressed gene fusions, but it did identify 21 SC-associated annotated long noncoding RNAs (lncRNAs). Transcriptome assembly by multiple algorithms identified 13 differentially expressed unannotated transcripts termed Sézary cell-associated transcripts (SeCATs) that include 12 predicted lncRNAs and a novel transcript with coding potential. High-throughput sequencing targeting the 3′ end of polyadenylated transcripts in archived tumors from 24 additional patients with tumor-stage CTCL confirmed the differential expression of SC-associated lncRNAs and SeCATs in CTCL. Our findings characterize the SS transcriptome and support recent reports that implicate lncRNA dysregulation in human malignancies.</jats:p> Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts Blood
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source_id 49
title Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_unstemmed Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_full Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_fullStr Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_full_unstemmed Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_short Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_sort transcriptome sequencing in sézary syndrome identifies sézary cell and mycosis fungoides-associated lncrnas and novel transcripts
topic Cell Biology
Hematology
Immunology
Biochemistry
url http://dx.doi.org/10.1182/blood-2012-04-423061
publishDate 2012
physical 3288-3297
description <jats:title>Abstract</jats:title><jats:p>Sézary syndrome (SS) is an aggressive cutaneous T-cell lymphoma (CTCL) of unknown etiology in which malignant cells circulate in the peripheral blood. To identify viral elements, gene fusions, and gene expression patterns associated with this lymphoma, flow cytometry was used to obtain matched pure populations of malignant Sézary cells (SCs) versus nonmalignant CD4+ T cells from 3 patients for whole transcriptome, paired-end sequencing with an average depth of 112 million reads per sample. Pathway analysis of differentially expressed genes identified mis-regulation of PI3K/Akt, TGFβ, and NF-κB pathways as well as T-cell receptor signaling. Bioinformatic analysis did not detect either nonhuman transcripts to support a viral etiology of SS or recurrently expressed gene fusions, but it did identify 21 SC-associated annotated long noncoding RNAs (lncRNAs). Transcriptome assembly by multiple algorithms identified 13 differentially expressed unannotated transcripts termed Sézary cell-associated transcripts (SeCATs) that include 12 predicted lncRNAs and a novel transcript with coding potential. High-throughput sequencing targeting the 3′ end of polyadenylated transcripts in archived tumors from 24 additional patients with tumor-stage CTCL confirmed the differential expression of SC-associated lncRNAs and SeCATs in CTCL. Our findings characterize the SS transcriptome and support recent reports that implicate lncRNA dysregulation in human malignancies.</jats:p>
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author Lee, Carolyn S., Ungewickell, Alexander, Bhaduri, Aparna, Qu, Kun, Webster, Dan E., Armstrong, Randall, Weng, Wen-Kai, Aros, Cody J., Mah, Angela, Chen, Richard O., Lin, Meihong, Sundram, Uma, Chang, Howard Y., Kretz, Markus, Kim, Youn H., Khavari, Paul A.
author_facet Lee, Carolyn S., Ungewickell, Alexander, Bhaduri, Aparna, Qu, Kun, Webster, Dan E., Armstrong, Randall, Weng, Wen-Kai, Aros, Cody J., Mah, Angela, Chen, Richard O., Lin, Meihong, Sundram, Uma, Chang, Howard Y., Kretz, Markus, Kim, Youn H., Khavari, Paul A., Lee, Carolyn S., Ungewickell, Alexander, Bhaduri, Aparna, Qu, Kun, Webster, Dan E., Armstrong, Randall, Weng, Wen-Kai, Aros, Cody J., Mah, Angela, Chen, Richard O., Lin, Meihong, Sundram, Uma, Chang, Howard Y., Kretz, Markus, Kim, Youn H., Khavari, Paul A.
author_sort lee, carolyn s.
container_issue 16
container_start_page 3288
container_title Blood
container_volume 120
description <jats:title>Abstract</jats:title><jats:p>Sézary syndrome (SS) is an aggressive cutaneous T-cell lymphoma (CTCL) of unknown etiology in which malignant cells circulate in the peripheral blood. To identify viral elements, gene fusions, and gene expression patterns associated with this lymphoma, flow cytometry was used to obtain matched pure populations of malignant Sézary cells (SCs) versus nonmalignant CD4+ T cells from 3 patients for whole transcriptome, paired-end sequencing with an average depth of 112 million reads per sample. Pathway analysis of differentially expressed genes identified mis-regulation of PI3K/Akt, TGFβ, and NF-κB pathways as well as T-cell receptor signaling. Bioinformatic analysis did not detect either nonhuman transcripts to support a viral etiology of SS or recurrently expressed gene fusions, but it did identify 21 SC-associated annotated long noncoding RNAs (lncRNAs). Transcriptome assembly by multiple algorithms identified 13 differentially expressed unannotated transcripts termed Sézary cell-associated transcripts (SeCATs) that include 12 predicted lncRNAs and a novel transcript with coding potential. High-throughput sequencing targeting the 3′ end of polyadenylated transcripts in archived tumors from 24 additional patients with tumor-stage CTCL confirmed the differential expression of SC-associated lncRNAs and SeCATs in CTCL. Our findings characterize the SS transcriptome and support recent reports that implicate lncRNA dysregulation in human malignancies.</jats:p>
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spelling Lee, Carolyn S. Ungewickell, Alexander Bhaduri, Aparna Qu, Kun Webster, Dan E. Armstrong, Randall Weng, Wen-Kai Aros, Cody J. Mah, Angela Chen, Richard O. Lin, Meihong Sundram, Uma Chang, Howard Y. Kretz, Markus Kim, Youn H. Khavari, Paul A. 0006-4971 1528-0020 American Society of Hematology Cell Biology Hematology Immunology Biochemistry http://dx.doi.org/10.1182/blood-2012-04-423061 <jats:title>Abstract</jats:title><jats:p>Sézary syndrome (SS) is an aggressive cutaneous T-cell lymphoma (CTCL) of unknown etiology in which malignant cells circulate in the peripheral blood. To identify viral elements, gene fusions, and gene expression patterns associated with this lymphoma, flow cytometry was used to obtain matched pure populations of malignant Sézary cells (SCs) versus nonmalignant CD4+ T cells from 3 patients for whole transcriptome, paired-end sequencing with an average depth of 112 million reads per sample. Pathway analysis of differentially expressed genes identified mis-regulation of PI3K/Akt, TGFβ, and NF-κB pathways as well as T-cell receptor signaling. Bioinformatic analysis did not detect either nonhuman transcripts to support a viral etiology of SS or recurrently expressed gene fusions, but it did identify 21 SC-associated annotated long noncoding RNAs (lncRNAs). Transcriptome assembly by multiple algorithms identified 13 differentially expressed unannotated transcripts termed Sézary cell-associated transcripts (SeCATs) that include 12 predicted lncRNAs and a novel transcript with coding potential. High-throughput sequencing targeting the 3′ end of polyadenylated transcripts in archived tumors from 24 additional patients with tumor-stage CTCL confirmed the differential expression of SC-associated lncRNAs and SeCATs in CTCL. Our findings characterize the SS transcriptome and support recent reports that implicate lncRNA dysregulation in human malignancies.</jats:p> Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts Blood
spellingShingle Lee, Carolyn S., Ungewickell, Alexander, Bhaduri, Aparna, Qu, Kun, Webster, Dan E., Armstrong, Randall, Weng, Wen-Kai, Aros, Cody J., Mah, Angela, Chen, Richard O., Lin, Meihong, Sundram, Uma, Chang, Howard Y., Kretz, Markus, Kim, Youn H., Khavari, Paul A., Blood, Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts, Cell Biology, Hematology, Immunology, Biochemistry
title Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_full Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_fullStr Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_full_unstemmed Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_short Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
title_sort transcriptome sequencing in sézary syndrome identifies sézary cell and mycosis fungoides-associated lncrnas and novel transcripts
title_unstemmed Transcriptome sequencing in Sézary syndrome identifies Sézary cell and mycosis fungoides-associated lncRNAs and novel transcripts
topic Cell Biology, Hematology, Immunology, Biochemistry
url http://dx.doi.org/10.1182/blood-2012-04-423061