Literature DB >> 27153384

PA-seq for Global Identification of RNA Polyadenylation Sites of Kaposi's Sarcoma-Associated Herpesvirus Transcripts.

Ting Ni1,2, Vladimir Majerciak3,2, Zhi-Ming Zheng3, Jun Zhu4,5.   

Abstract

Kaposi's sarcoma-associated herpesvirus (KSHV) is a human oncovirus linked to the development of several malignancies in immunocompromised patients. Like other herpesviruses, KSHV has a large DNA genome encoding more than 100 distinct gene products. Despite being transcribed and processed by cellular machinery, the structure and organization of KSHV genes in the virus genome differ from what is observed in cellular genes from the human genome. A typical feature of KSHV expression is the production of polycistronic transcripts initiated from different promoters but sharing the same polyadenylation site (pA site). This represents a challenge in determination of the 3' end of individual viral transcripts. Such information is critical for generation of a virus transcriptional map for genetic studies. Here we present PA-seq, a high-throughput method for genome-wide analysis of pA sites of KSHV transcripts in B lymphocytes with latent or lytic KSHV infection. Besides identification of all viral pA sites, PA-seq also provides quantitative information about the levels of viral transcripts associated with each pA site, making it possible to determine the relative expression levels of viral genes at various stages of infection. Due to the indiscriminate nature of PA-seq, the pA sites of host transcripts are also concurrently mapped in the testing samples. Therefore, this technology can simultaneously estimate the expression changes of host genes and RNA polyadenylation upon KSHV infection. © 2016 by John Wiley & Sons, Inc.
Copyright © 2016 John Wiley & Sons, Inc.

Entities:  

Keywords:  KSHV; PA-seq; herpesvirus; polyadenylation; transcript

Mesh:

Substances:

Year:  2016        PMID: 27153384      PMCID: PMC4910627          DOI: 10.1002/cpmc.1

Source DB:  PubMed          Journal:  Curr Protoc Microbiol        ISSN: 1934-8525


  34 in total

1.  Patterns of variant polyadenylation signal usage in human genes.

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Review 2.  Protein factors in pre-mRNA 3'-end processing.

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Review 3.  Ending the message: poly(A) signals then and now.

Authors:  Nick J Proudfoot
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Authors:  Xiaohong Wang; Zhi-Ming Zheng
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5.  Comprehensive polyadenylation site maps in yeast and human reveal pervasive alternative polyadenylation.

Authors:  Fatih Ozsolak; Philipp Kapranov; Sylvain Foissac; Sang Woo Kim; Elane Fishilevich; A Paula Monaghan; Bino John; Patrice M Milos
Journal:  Cell       Date:  2010-12-10       Impact factor: 41.582

6.  The 160-kD subunit of human cleavage-polyadenylation specificity factor coordinates pre-mRNA 3'-end formation.

Authors:  K G Murthy; J L Manley
Journal:  Genes Dev       Date:  1995-11-01       Impact factor: 11.361

7.  Kaposi's sarcoma-associated herpesvirus-like DNA sequences in multicentric Castleman's disease.

Authors:  J Soulier; L Grollet; E Oksenhendler; P Cacoub; D Cazals-Hatem; P Babinet; M F d'Agay; J P Clauvel; M Raphael; L Degos
Journal:  Blood       Date:  1995-08-15       Impact factor: 22.113

8.  Formation, regulation and evolution of Caenorhabditis elegans 3'UTRs.

Authors:  Calvin H Jan; Robin C Friedman; J Graham Ruby; David P Bartel
Journal:  Nature       Date:  2010-11-17       Impact factor: 49.962

9.  A large-scale analysis of mRNA polyadenylation of human and mouse genes.

Authors:  Bin Tian; Jun Hu; Haibo Zhang; Carol S Lutz
Journal:  Nucleic Acids Res       Date:  2005-01-12       Impact factor: 16.971

10.  Genome-wide identification and predictive modeling of tissue-specific alternative polyadenylation.

Authors:  Dina Hafez; Ting Ni; Sayan Mukherjee; Jun Zhu; Uwe Ohler
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

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  2 in total

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Journal:  J Virol       Date:  2019-01-04       Impact factor: 5.103

2.  Alternative polyadenylated mRNAs behave as asynchronous rhythmic transcription in Arabidopsis.

Authors:  Juncheng Lin; Zhibo Yu; Congting Ye; Liwei Hong; Yiru Chu; Yingjia Shen; Qingshun Q Li
Journal:  RNA Biol       Date:  2021-06-07       Impact factor: 4.766

  2 in total

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