Updated on 2024/04/24

写真a

 
ZENG, Chao
 
Affiliation
Faculty of Science and Engineering, Waseda Research Institute for Science and Engineering
Job title
Junior Researcher(Assistant Professor)
Degree
Ph.D. (Science) ( The University of Tokyo )
修士(情報学) ( 京都大学 )
Homepage URL

Research Experience

  • 2021.04
    -
    Now

    Waseda University

  • 2018.11
    -
    2021.03

    National Institute of Advanced Industrial Science and Technology (AIST)   AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL)   Postdoctoral Researcher

  • 2018.05
    -
    2018.10

    Waseda University   Waseda Research Institute for Science and Engineering   Research Associate

  • 2016.12
    -
    2018.04

    National Institute of Advanced Industrial Science and Technology (AIST)   AIST-Waseda University Computational Bio Big-Data Open Innovation laboratory (CBBD-OIL)   Technical Staff

  • 2016.04
    -
    2016.11

    The University of Tokyo   Graduate School of Frontier Sciences   Project Researcher

Education Background

  • 2013.04
    -
    2016.03

    The University of Tokyo   Graduate School of Frontier Sciences   Department of Computational Biology and Medical Sciences  

  • 2011.04
    -
    2013.03

    Kyoto University   Graduate School of Informatics   Department of Intelligence Science and Technology  

Professional Memberships

  •  
     
     

    THE RNA SOCIETY OF JAPAN

  •  
     
     

    JAPANESE SOCIETY FOR BIOINFORMATICS

  •  
     
     

    THE MOLECULAR BIOLOGY SOCIETY OF JAPAN

Research Areas

  • Life, health and medical informatics

Research Interests

  • lncRNA

Awards

  • Waseda University Teaching Award (Fall 2022)

    2023.07   Waseda University  

    Winner: Michiaki Hamada, Chao Zeng

  • Research Award for Joint Conference of Informatics In Biology, Medicine and Pharmacology

    2017.07   Japanese Society for Bioinformatics (JSBi)  

    Winner: Chao Zeng

 

Papers

  • Identification of a novel RNA transcript TISPL upregulated by stressors that stimulate ATF4

    Yutaro Wakabayashi, Aika Shimono, Yuki Terauchi, Chao Zeng, Michiaki Hamada, Kentaro Semba, Shinya Watanabe, Kosuke Ishikawa

    Gene   917   148464 - 148464  2024.07  [Refereed]

    DOI

    Scopus

  • Inflammation primes the kidney for recovery by activating AZIN1 A-to-I editing.

    Segewkal Heruye, Jered Myslinski, Chao Zeng, Amy Zollman, Shinichi Makino, Azuma Nanamatsu, Quoseena Mir, Sarath Chandra Janga, Emma H Doud, Michael T Eadon, Bernhard Maier, Michiaki Hamada, Tuan M Tran, Pierre C Dagher, Takashi Hato

    bioRxiv : the preprint server for biology    2023.11  [International journal]

     View Summary

    The progression of kidney disease varies among individuals, but a general methodology to quantify disease timelines is lacking. Particularly challenging is the task of determining the potential for recovery from acute kidney injury following various insults. Here, we report that quantitation of post-transcriptional adenosine-to-inosine (A-to-I) RNA editing offers a distinct genome-wide signature, enabling the delineation of disease trajectories in the kidney. A well-defined murine model of endotoxemia permitted the identification of the origin and extent of A-to-I editing, along with temporally discrete signatures of double-stranded RNA stress and Adenosine Deaminase isoform switching. We found that A-to-I editing of Antizyme Inhibitor 1 (AZIN1), a positive regulator of polyamine biosynthesis, serves as a particularly useful temporal landmark during endotoxemia. Our data indicate that AZIN1 A-to-I editing, triggered by preceding inflammation, primes the kidney and activates endogenous recovery mechanisms. By comparing genetically modified human cell lines and mice locked in either A-to-I edited or uneditable states, we uncovered that AZIN1 A-to-I editing not only enhances polyamine biosynthesis but also engages glycolysis and nicotinamide biosynthesis to drive the recovery phenotype. Our findings implicate that quantifying AZIN1 A-to-I editing could potentially identify individuals who have transitioned to an endogenous recovery phase. This phase would reflect their past inflammation and indicate their potential for future recovery.

    DOI PubMed

  • Landscape of semi-extractable RNAs across five human cell lines.

    Chao Zeng, Takeshi Chujo, Tetsuro Hirose, Michiaki Hamada

    Nucleic acids research    2023.07  [Refereed]  [International journal]

    Authorship:Lead author

     View Summary

    Phase-separated membraneless organelles often contain RNAs that exhibit unusual semi-extractability using the conventional RNA extraction method, and can be efficiently retrieved by needle shearing or heating during RNA extraction. Semi-extractable RNAs are promising resources for understanding RNA-centric phase separation. However, limited assessments have been performed to systematically identify and characterize semi-extractable RNAs. In this study, 1074 semi-extractable RNAs, including ASAP1, DANT2, EXT1, FTX, IGF1R, LIMS1, NEAT1, PHF21A, PVT1, SCMH1, STRG.3024.1, TBL1X, TCF7L2, TVP23C-CDRT4, UBE2E2, ZCCHC7, ZFAND3 and ZSWIM6, which exhibited consistent semi-extractability were identified across five human cell lines. By integrating publicly available datasets, we found that semi-extractable RNAs tend to be distributed in the nuclear compartments but are dissociated from the chromatin. Long and repeat-containing semi-extractable RNAs act as hubs to provide global RNA-RNA interactions. Semi-extractable RNAs were divided into four groups based on their k-mer content. The NEAT1 group preferred to interact with paraspeckle proteins, such as FUS and NONO, implying that RNAs in this group are potential candidates of architectural RNAs that constitute nuclear bodies.

    DOI PubMed

    Scopus

  • Bioinformatics Approaches for Determining the Functional Impact of Repetitive Elements on Non-coding RNAs

    Chao Zeng, Atsushi Takeda, Kotaro Sekine, Naoki Osato, Tsukasa Fukunaga, Michiaki Hamada

    Methods in Molecular Biology   2509   315 - 340  2022  [Refereed]  [Invited]  [International journal]

    Authorship:Lead author, Corresponding author

     View Summary

    With a large number of annotated non-coding RNAs (ncRNAs), repetitive sequences are found to constitute functional components (termed as repetitive elements) in ncRNAs that perform specific biological functions. Bioinformatics analysis is a powerful tool for improving our understanding of the role of repetitive elements in ncRNAs. This chapter summarizes recent findings that reveal the role of repetitive elements in ncRNAs. Furthermore, relevant bioinformatics approaches are systematically reviewed, which promises to provide valuable resources for studying the functional impact of repetitive elements on ncRNAs.

    DOI PubMed

    Scopus

    2
    Citation
    (Scopus)
  • Impact of human gene annotations on RNA-seq differential expression analysis

    Yu Hamaguchi, Chao Zeng, Michiaki Hamada

    BMC Genomics   22   730  2021.10  [Refereed]

  • Binding patterns of RNA-binding proteins to repeat-derived RNA sequences reveal putative functional RNA elements

    Masahiro Onoguchi, Chao Zeng, Ayako Matsumaru, Michiaki Hamada

    NAR Genomics and Bioinformatics   3 ( 3 )  2021.07  [Refereed]

     View Summary

    <jats:title>Abstract</jats:title>
    <jats:p>Recent reports have revealed that repeat-derived sequences embedded in introns or long noncoding RNAs (lncRNAs) are targets of RNA-binding proteins (RBPs) and contribute to biological processes such as RNA splicing or transcriptional regulation. These findings suggest that repeat-derived RNAs are important as scaffolds of RBPs and functional elements. However, the overall functional sequences of the repeat-derived RNAs are not fully understood. Here, we show the putative functional repeat-derived RNAs by analyzing the binding patterns of RBPs based on ENCODE eCLIP data. We mapped all eCLIP reads to repeat sequences and observed that 10.75 % and 7.04 % of reads on average were enriched (at least 2-fold over control) in the repeats in K562 and HepG2 cells, respectively. Using these data, we predicted functional RNA elements on the sense and antisense strands of long interspersed element 1 (LINE1) sequences. Furthermore, we found several new sets of RBPs on fragments derived from other transposable element (TE) families. Some of these fragments show specific and stable secondary structures and are found to be inserted into the introns of genes or lncRNAs. These results suggest that the repeat-derived RNA sequences are strong candidates for the functional RNA elements of endogenous noncoding RNAs.</jats:p>

    DOI

    Scopus

    3
    Citation
    (Scopus)
  • Long Non-Coding RNA CRNDE Is Involved in Resistance to EGFR Tyrosine Kinase Inhibitor in EGFR-Mutant Lung Cancer via eIF4A3/MUC1/EGFR Signaling

    Satoshi Takahashi, Rintaro Noro, Masahiro Seike, Chao Zeng, Masaru Matsumoto, Akiko Yoshikawa, Shinji Nakamichi, Teppei Sugano, Mariko Hirao, Kuniko Matsuda, Michiaki Hamada, Akihiko Gemma

    International Journal of Molecular Sciences   22 ( 8 ) 4005 - 4005  2021.04  [Refereed]  [International journal]

     View Summary

    (1) Background: Acquired resistance to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) is an intractable problem for many clinical oncologists. The mechanisms of resistance to EGFR-TKIs are complex. Long non-coding RNAs (lncRNAs) may play an important role in cancer development and metastasis. However, the biological process between lncRNAs and drug resistance to EGFR-mutated lung cancer remains largely unknown. (2) Methods: Osimertinib- and afatinib-resistant EGFR-mutated lung cancer cells were established using a stepwise method. A microarray analysis of non-coding and coding RNAs was performed using parental and resistant EGFR-mutant non-small cell lung cancer (NSCLC) cells and evaluated by bioinformatics analysis through medical-industrial collaboration. (3) Results: Colorectal neoplasia differentially expressed (CRNDE) and DiGeorge syndrome critical region gene 5 (DGCR5) lncRNAs were highly expressed in EGFR-TKI-resistant cells by microarray analysis. RNA-protein binding analysis revealed eukaryotic translation initiation factor 4A3 (eIF4A3) bound in an overlapping manner to CRNDE and DGCR5. The CRNDE downregulates the expression of eIF4A3, mucin 1 (MUC1), and phospho-EGFR. Inhibition of CRNDE activated the eIF4A3/MUC1/EGFR signaling pathway and apoptotic activity, and restored sensitivity to EGFR-TKIs. (4) Conclusions: The results showed that CRNDE is associated with the development of resistance to EGFR-TKIs. CRNDE may be a novel therapeutic target to conquer EGFR-mutant NSCLC.

    DOI PubMed

    Scopus

    25
    Citation
    (Scopus)
  • Association analysis of repetitive elements and R-loop formation across species

      12 ( 3 )  2021.01  [Refereed]

    Authorship:Lead author, Corresponding author

  • Detection and Characterization of Ribosome-Associated Long Noncoding RNAs

    Chao Zeng, Michiaki Hamada

    Methods in Molecular Biology   2254   179 - 194  2021  [Refereed]  [Invited]  [International journal]

     View Summary

    Ribosome profiling shows potential for studying the function of long noncoding RNAs (lncRNAs). We introduce a bioinformatics pipeline for detecting ribosome-associated lncRNAs (ribo-lncRNAs) from ribosome profiling data. Further, we describe a machine-learning approach for the characterization of ribo-lncRNAs based on their sequence features. Scripts for ribo-lncRNA analysis can be accessed at ( https://ribolnc.hamadalab.com/ ).

    DOI PubMed

    Scopus

    2
    Citation
    (Scopus)
  • RNA-Seq Analysis Reveals Localization-Associated Alternative Splicing across 13 Cell Lines

    Chao Zeng, Michiaki Hamada

    Genes   11 ( 7 ) 820  2020.07  [Refereed]  [International journal]

    Authorship:Lead author, Corresponding author

     View Summary

    Alternative splicing, a ubiquitous phenomenon in eukaryotes, is a regulatory mechanism for the biological diversity of individual genes. Most studies have focused on the effects of alternative splicing for protein synthesis. However, the transcriptome-wide influence of alternative splicing on RNA subcellular localization has rarely been studied. By analyzing RNA-seq data obtained from subcellular fractions across 13 human cell lines, we identified 8720 switching genes between the cytoplasm and the nucleus. Consistent with previous reports, intron retention was observed to be enriched in the nuclear transcript variants. Interestingly, we found that short and structurally stable introns were positively correlated with nuclear localization. Motif analysis reveals that fourteen RNA-binding protein (RBPs) are prone to be preferentially bound with such introns. To our knowledge, this is the first transcriptome-wide study to analyze and evaluate the effect of alternative splicing on RNA subcellular localization. Our findings reveal that alternative splicing plays a promising role in regulating RNA subcellular localization.

    DOI PubMed

    Scopus

    8
    Citation
    (Scopus)
  • Identifying sequence features that drive ribosomal association for lncRNA.

    Chao Zeng, Michiaki Hamada

    BMC genomics   19 ( Suppl 10 ) 906 - 906  2018.12  [Refereed]  [International journal]

     View Summary

    BACKGROUND: With the increasing number of annotated long noncoding RNAs (lncRNAs) from the genome, researchers are continually updating their understanding of lncRNAs. Recently, thousands of lncRNAs have been reported to be associated with ribosomes in mammals. However, their biological functions or mechanisms are still unclear. RESULTS: In this study, we tried to investigate the sequence features involved in the ribosomal association of lncRNA. We have extracted ninety-nine sequence features corresponding to different biological mechanisms (i.e., RNA splicing, putative ORF, k-mer frequency, RNA modification, RNA secondary structure, and repeat element). An [Formula: see text]-regularized logistic regression model was applied to screen these features. Finally, we obtained fifteen and nine important features for the ribosomal association of human and mouse lncRNAs, respectively. CONCLUSION: To our knowledge, this is the first study to characterize ribosome-associated lncRNAs and ribosome-free lncRNAs from the perspective of sequence features. These sequence features that were identified in this study may shed light on the biological mechanism of the ribosomal association and provide important clues for functional analysis of lncRNAs.

    DOI PubMed

    Scopus

    15
    Citation
    (Scopus)
  • Identification and analysis of ribosome-associated lncRNAs using ribosome profiling data

    Chao Zeng, Tsukasa Fukunaga, Michiaki Hamada

    BMC Genomics   19 ( 414 )  2018.05  [Refereed]

    Authorship:Lead author, Corresponding author

  • Obstacle Avoidance and Path Planning Based on S-Type Double-Arc Insertion Method

    Xiao-tong Hu, Chao Zeng

    2010 International Conference on Computational Intelligence and Software Engineering    2010.09  [Refereed]

    Authorship:Corresponding author

    DOI

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Presentations

  • Landscape of semi-extractable RNAs across five human cell lines

    Chao Zeng, Takeshi Chujo, Tetsuro Hirose, Michiaki Hamada

    第24回日本RNA学会年会 

    Presentation date: 2023.07

    Event date:
    2023.07
     
     
  • Bioinformatic approaches for understanding RNA reincarnation

    Chao Zeng, Masahiro Onoguchi, Michiaki Hamada

    第43回日本分子生物学会 

    Presentation date: 2020.12

    Event date:
    2020.12
     
     
  • Identification and characterisation of ribosome-associated lncRNAs in human and mouse

    Chao Zeng, Michiaki Hamada

    RNA bioinformatics 

    Presentation date: 2019.09

  • Identifying sequence features that drive ribosomal association for lncRNA

    Chao Zeng, Michiaki Hamada

    The 29th International Conference on Genome Informatics(GIW2018) 

    Presentation date: 2018.12

  • A comprehensive analysis of the effects of alternative splicing on RNA localization in human

    Chao Zeng, Michiaki Hamada

    第7回生命医薬情報学連合大会(IIBMP2018) 

    Presentation date: 2018.09

  • Integrative analysis of multiple ribosome profiling datasets reveals widespread lncRNA-ribosome interaction in mammals

    Chao Zeng, Michiaki Hamada

    第6回生命医薬情報学連合大会(IIBMP2017) 

    Presentation date: 2017.09

  • Mapping and Aligning PacBio RNA-seq Data

    Chao Zeng, Hiroaki Iwata, Natsuhiro Ichinose, Tetsushi Yada, Osamu Gotoh

    The Asian Young Researchers Conference on Computational and Omics Biology (AYRCOB) 

    Presentation date: 2012.12

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Research Projects

  • Overview and Systematic Understanding of Biological Phase Separation Based on RNA-Centric Molecular Networks

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research

    Project Year :

    2023.04
    -
    2026.03
     

  • Identification of repetitive elements involving genome regulation

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists

    Project Year :

    2022.04
    -
    2025.03
     

  • RNA品質管理機構によるイントロン-エクソン化RNA生成と癌維持機構への関与

    日本学術振興会  科学研究費助成事業

    Project Year :

    2021.07
    -
    2023.03
     

    谷上 賢瑞, 曽 超

     View Summary

    RNAプロセシング、RNA分解、RNA 修飾などの「RNA品質管理機構」は、様々な外部刺激に応じて適切に遺伝子発現レベルを調節するために非常に重要な制御機構であり、その中心的な役割をRNA結合タンパク質 (RBP) が担っている。「RNA品質管理機構」の破綻が、癌化等の様々な疾患の原因になっているが、「RNA品質管理機構」の異常が生じる分子機構については十分に明らかになっていない。申請者は、核内RNA分解機構であるRNAエキソソーム-MTR4複合体に着目し、癌における「RNA品質管理機構」の解明を進め、下記の2点を見出した。1) RNAエキソソーム構成因子及びMTR4は、様々な癌で発現が亢進している。2) MTR4の発現を抑制すると、様々な構造異常RNAが生成される。本研究課題では、「RNAエキソソーム-MTR4複合体はRNAが持つどのようなメッセージを識別して生成及び分解を制御するのか」、また「構造異常RNAがどのような機能を有するか」に焦点を当て、RNAエキソソーム-MTR4複合体の機能解析を進める。
    本年は、新規MTR4 結合タンパク質としてhnRNP H1 を同定し、MTR4-hnRNPH1複合体がlncRNA NEAT1を認識して分解を促進することを明らかにした。また、MTR4の発現抑制によって安定化したNEAT1が、核内構造体パラスペックルの形成を促進し、標的遺伝子である免疫応答因子IL8の発現を制御することを明らかにした (RNA biology 2021)。また、エキソソームバレル因子EXOSC4が複数の癌種で遺伝子増幅していることを見出し、膵癌細胞でEXOSC4の発現を抑制すると膵癌細胞がアポトーシスを引き起こすことを明らかにした (International Journal of Molecular Sciences 2022)。

  • Identification and characterization of lncRNAs involved in genetic compensation

    日本学術振興会  科学研究費助成事業 若手研究

    Project Year :

    2020.04
    -
    2022.03
     

    曽 超

     View Summary

    GCRに関わる分子メカニズムを検証するために、対応する細胞株におけるRNA-Chromatin相互作用の実験データを収集し、RNA-クロマチン相互作用部位を定義した。さらに、RNA-クロマチン相互作用に起因すると想定されるGCR関連遺伝子ペアのリストが得られた。

Misc

 

Syllabus

  • Bioinformatics

    School of Advanced Science and Engineering

    2024   fall semester

 

Sub-affiliation

  • Faculty of Science and Engineering   School of Advanced Science and Engineering