Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease

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Standard

Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease. / Velissari, Rania; Ilieva, Mirolyuba; Dao, James; Miller, Henry E.; Madsen, Jens Hedelund; Gorodkin, Jan; Aikawa, Masanori; Ishii, Hideshi; Uchida, Shizuka.

I: Briefings in Functional Genomics, 2024.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Velissari, R, Ilieva, M, Dao, J, Miller, HE, Madsen, JH, Gorodkin, J, Aikawa, M, Ishii, H & Uchida, S 2024, 'Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease', Briefings in Functional Genomics. https://doi.org/10.1093/bfgp/elad044

APA

Velissari, R., Ilieva, M., Dao, J., Miller, H. E., Madsen, J. H., Gorodkin, J., Aikawa, M., Ishii, H., & Uchida, S. (2024). Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease. Briefings in Functional Genomics. https://doi.org/10.1093/bfgp/elad044

Vancouver

Velissari R, Ilieva M, Dao J, Miller HE, Madsen JH, Gorodkin J o.a. Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease. Briefings in Functional Genomics. 2024. https://doi.org/10.1093/bfgp/elad044

Author

Velissari, Rania ; Ilieva, Mirolyuba ; Dao, James ; Miller, Henry E. ; Madsen, Jens Hedelund ; Gorodkin, Jan ; Aikawa, Masanori ; Ishii, Hideshi ; Uchida, Shizuka. / Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease. I: Briefings in Functional Genomics. 2024.

Bibtex

@article{f2e55e98dddd42aa9f7c3b65dccd1ed0,
title = "Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease",
abstract = "The cases of inflammatory bowel disease (IBD) are increasing rapidly around the world. Due to the multifactorial causes of IBD, there is an urgent need to understand the pathogenesis of IBD. As such, the usage of high-throughput techniques to profile genetic mutations, microbiome environments, transcriptome and proteome (e.g. lipidome) is increasing to understand the molecular changes associated with IBD, including two major etiologies of IBD: Crohn disease (CD) and ulcerative colitis (UC). In the case of transcriptome data, RNA sequencing (RNA-seq) technique is used frequently. However, only protein-coding genes are analyzed, leaving behind all other RNAs, including non-coding RNAs (ncRNAs) to be unexplored. Among these ncRNAs, long non-coding RNAs (lncRNAs) may hold keys to understand the pathogenesis of IBD as lncRNAs are expressed in a cell/tissue-specific manner and dysregulated in a disease, such as IBD. However, it is rare that RNA-seq data are analyzed for lncRNAs. To fill this gap in knowledge, we re-analyzed RNA-seq data of CD and UC patients compared with the healthy donors to dissect the expression profiles of lncRNA genes. As inflammation plays key roles in the pathogenesis of IBD, we conducted loss-of-function experiments to provide functional data of IBD-specific lncRNA, lung cancer associated transcript 1 (LUCAT1), in an in vitro model of macrophage polarization. To further facilitate the lncRNA research in IBD, we built a web database, IBDB (https://ibd-db.shinyapps.io/IBDB/), to provide a one-stop-shop for expression profiling of protein-coding and lncRNA genes in IBD patients compared with healthy donors.",
author = "Rania Velissari and Mirolyuba Ilieva and James Dao and Miller, {Henry E.} and Madsen, {Jens Hedelund} and Jan Gorodkin and Masanori Aikawa and Hideshi Ishii and Shizuka Uchida",
note = "{\textcopyright} The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.",
year = "2024",
doi = "10.1093/bfgp/elad044",
language = "English",
journal = "Briefings in Functional Genomics",
issn = "2041-2649",
publisher = "Oxford University Press",

}

RIS

TY - JOUR

T1 - Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease

AU - Velissari, Rania

AU - Ilieva, Mirolyuba

AU - Dao, James

AU - Miller, Henry E.

AU - Madsen, Jens Hedelund

AU - Gorodkin, Jan

AU - Aikawa, Masanori

AU - Ishii, Hideshi

AU - Uchida, Shizuka

N1 - © The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

PY - 2024

Y1 - 2024

N2 - The cases of inflammatory bowel disease (IBD) are increasing rapidly around the world. Due to the multifactorial causes of IBD, there is an urgent need to understand the pathogenesis of IBD. As such, the usage of high-throughput techniques to profile genetic mutations, microbiome environments, transcriptome and proteome (e.g. lipidome) is increasing to understand the molecular changes associated with IBD, including two major etiologies of IBD: Crohn disease (CD) and ulcerative colitis (UC). In the case of transcriptome data, RNA sequencing (RNA-seq) technique is used frequently. However, only protein-coding genes are analyzed, leaving behind all other RNAs, including non-coding RNAs (ncRNAs) to be unexplored. Among these ncRNAs, long non-coding RNAs (lncRNAs) may hold keys to understand the pathogenesis of IBD as lncRNAs are expressed in a cell/tissue-specific manner and dysregulated in a disease, such as IBD. However, it is rare that RNA-seq data are analyzed for lncRNAs. To fill this gap in knowledge, we re-analyzed RNA-seq data of CD and UC patients compared with the healthy donors to dissect the expression profiles of lncRNA genes. As inflammation plays key roles in the pathogenesis of IBD, we conducted loss-of-function experiments to provide functional data of IBD-specific lncRNA, lung cancer associated transcript 1 (LUCAT1), in an in vitro model of macrophage polarization. To further facilitate the lncRNA research in IBD, we built a web database, IBDB (https://ibd-db.shinyapps.io/IBDB/), to provide a one-stop-shop for expression profiling of protein-coding and lncRNA genes in IBD patients compared with healthy donors.

AB - The cases of inflammatory bowel disease (IBD) are increasing rapidly around the world. Due to the multifactorial causes of IBD, there is an urgent need to understand the pathogenesis of IBD. As such, the usage of high-throughput techniques to profile genetic mutations, microbiome environments, transcriptome and proteome (e.g. lipidome) is increasing to understand the molecular changes associated with IBD, including two major etiologies of IBD: Crohn disease (CD) and ulcerative colitis (UC). In the case of transcriptome data, RNA sequencing (RNA-seq) technique is used frequently. However, only protein-coding genes are analyzed, leaving behind all other RNAs, including non-coding RNAs (ncRNAs) to be unexplored. Among these ncRNAs, long non-coding RNAs (lncRNAs) may hold keys to understand the pathogenesis of IBD as lncRNAs are expressed in a cell/tissue-specific manner and dysregulated in a disease, such as IBD. However, it is rare that RNA-seq data are analyzed for lncRNAs. To fill this gap in knowledge, we re-analyzed RNA-seq data of CD and UC patients compared with the healthy donors to dissect the expression profiles of lncRNA genes. As inflammation plays key roles in the pathogenesis of IBD, we conducted loss-of-function experiments to provide functional data of IBD-specific lncRNA, lung cancer associated transcript 1 (LUCAT1), in an in vitro model of macrophage polarization. To further facilitate the lncRNA research in IBD, we built a web database, IBDB (https://ibd-db.shinyapps.io/IBDB/), to provide a one-stop-shop for expression profiling of protein-coding and lncRNA genes in IBD patients compared with healthy donors.

U2 - 10.1093/bfgp/elad044

DO - 10.1093/bfgp/elad044

M3 - Journal article

C2 - 37791426

JO - Briefings in Functional Genomics

JF - Briefings in Functional Genomics

SN - 2041-2649

ER -

ID: 370206588