Literature DB >> 24451106

MePIC, metagenomic pathogen identification for clinical specimens.

Fumihiko Takeuchi1, Tsuyoshi Sekizuka, Akifumi Yamashita, Yumiko Ogasawara, Katsumi Mizuta, Makoto Kuroda.   

Abstract

Next-generation DNA sequencing technologies have led to a new method of identifying the causative agents of infectious diseases. The analysis comprises three steps. First, DNA/RNA is extracted and extensively sequenced from a specimen that includes the pathogen, human tissue and commensal microorganisms. Second, the sequenced reads are matched with a database of known sequences, and the organisms from which the individual reads were derived are inferred. Last, the percentages of the organisms' genomic sequences in the specimen (i.e., the metagenome) are estimated, and the pathogen is identified. The first and last steps have become easy due to the development of benchtop sequencers and metagenomic software. To facilitate the middle step, which requires computational resources and skill, we developed a cloud-computing pipeline, MePIC: "Metagenomic Pathogen Identification for Clinical specimens." In the pipeline, unnecessary bases are trimmed off the reads, and human reads are removed. For the remaining reads, similar sequences are searched in the database of known nucleotide sequences. The search is drastically sped up by using a cloud-computing system. The webpage interface can be used easily by clinicians and epidemiologists. We believe that the use of the MePIC pipeline will promote metagenomic pathogen identification and improve the understanding of infectious diseases.

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Year:  2014        PMID: 24451106     DOI: 10.7883/yoken.67.62

Source DB:  PubMed          Journal:  Jpn J Infect Dis        ISSN: 1344-6304            Impact factor:   1.362


  16 in total

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2.  Deep-Sequence Identification and Role in Virus Replication of a JC Virus Quasispecies in Patients with Progressive Multifocal Leukoencephalopathy.

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3.  VirusSeeker, a computational pipeline for virus discovery and virome composition analysis.

Authors:  Guoyan Zhao; Guang Wu; Efrem S Lim; Lindsay Droit; Siddharth Krishnamurthy; Dan H Barouch; Herbert W Virgin; David Wang
Journal:  Virology       Date:  2017-01-18       Impact factor: 3.616

4.  A Case of an Aortic Abscess around the Elephant Trunk.

Authors:  Takeshiro Fujii; Muneyasu Kawasaki; Tomoyuki Katayanagi; Shinnosuke Okuma; Hiroshi Masuhara; Noritsugu Shiono; Yoshinori Watanabe
Journal:  Ann Thorac Cardiovasc Surg       Date:  2015-07-27       Impact factor: 1.520

5.  Using populations of human and microbial genomes for organism detection in metagenomes.

Authors:  Sasha K Ames; Shea N Gardner; Jose Manuel Marti; Tom R Slezak; Maya B Gokhale; Jonathan E Allen
Journal:  Genome Res       Date:  2015-04-29       Impact factor: 9.043

6.  MetaGeniE: characterizing human clinical samples using deep metagenomic sequencing.

Authors:  Arun Rawat; David M Engelthaler; Elizabeth M Driebe; Paul Keim; Jeffrey T Foster
Journal:  PLoS One       Date:  2014-11-03       Impact factor: 3.240

7.  Comprehensive pathogen detection associated with four recurrent episodes of Kawasaki disease in a patient during a single year using next-generation sequencing.

Authors:  Hiromichi Hamada; Tsuyoshi Sekizuka; Kunihiro Oba; Harutaka Katano; Akiko Kinumaki; Masaru Terai; Tetsuya Mizutani; Makoto Kuroda
Journal:  JMM Case Rep       Date:  2016-02-01

8.  Comprehensive Diagnosis of Bacterial Infection Associated with Acute Cholecystitis Using Metagenomic Approach.

Authors:  Manabu Kujiraoka; Makoto Kuroda; Koji Asai; Tsuyoshi Sekizuka; Kengo Kato; Manabu Watanabe; Hiroshi Matsukiyo; Tomoaki Saito; Tomotaka Ishii; Natsuya Katada; Yoshihisa Saida; Shinya Kusachi
Journal:  Front Microbiol       Date:  2017-04-20       Impact factor: 5.640

9.  Comprehensive detection of pathogens in immunocompromised children with bloodstream infections by next-generation sequencing.

Authors:  Kazuhiro Horiba; Jun-Ichi Kawada; Yusuke Okuno; Nobuyuki Tetsuka; Takako Suzuki; Shotaro Ando; Yasuko Kamiya; Yuka Torii; Tetsuya Yagi; Yoshiyuki Takahashi; Yoshinori Ito
Journal:  Sci Rep       Date:  2018-02-28       Impact factor: 4.379

10.  Identification of Viruses in Cases of Pediatric Acute Encephalitis and Encephalopathy Using Next-Generation Sequencing.

Authors:  Jun-Ichi Kawada; Yusuke Okuno; Yuka Torii; Ryo Okada; Satoshi Hayano; Shotaro Ando; Yasuko Kamiya; Seiji Kojima; Yoshinori Ito
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

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