研究者詳細

顔写真

チヨウ リン
張 琳
Lin Zhang
所属
東北メディカル・メガバンク機構 ゲノム解析部門
職名
助教
学位
  • 博士(生命科学) (東北大学)

経歴 4

  • 2023年5月 ~ 継続中
    東北大学 大学院情報科学研究科 応用情報科学専攻 助教

  • 2023年5月 ~ 継続中
    東北大学 東北メディカル・メガバンク機構 ゲノム解析部門 助教

  • 2021年8月 ~ 2023年5月
    東北大学 大学院情報科学研究科 特任助教(研究)

  • 2019年6月 ~ 2021年7月
    東北大学 大学院情報科学研究科 学術研究員

学歴 3

  • 東北大学 大学院生命科学研究科

    2015年10月 ~ 2019年3月

  • 中国科学院大学 昆明動物学研究所

    2012年9月 ~ 2015年7月

  • 魯東大学 生命科学研究科

    2008年9月 ~ 2012年6月

論文 8

  1. Physicochemical, functional, and evolutionary characteristics of protein loop regions in human and Escherichia coli proteomes

    Lin Zhang, Hafumi Nishi

    Biophysics and Physicobiology 2025年11月

    出版者・発行元: Biophysical Society of Japan

    DOI: 10.2142/biophysico.bppb-v22.0031  

    eISSN:2189-4779

  2. Systemic activation of NRF2 contributes to the therapeutic efficacy of clinically-approved KRAS-G12C anti-cancer drugs

    Liam Baird, Lin Zhang, Takanori Hidaka, Lyu Xi, Ke Wang, Keiko Tateno, Tatsuro Iso, Takafumi Suzuki, Kazuki Kumada, Fumiki Katsuoka, Kengo Kinoshita, Masayuki Yamamoto

    British Journal of Cancer 133 (9) 1377-1390 2025年9月1日

    出版者・発行元: Springer Science and Business Media LLC

    DOI: 10.1038/s41416-025-03162-7  

    ISSN:0007-0920

    eISSN:1532-1827

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    Abstract Background The development and clinical success of KRAS G12C inhibitors was a landmark achievement in anti-cancer drug development, as oncogenic KRAS had long been considered an intractable therapeutic target. Patients with KRAS mutant lung cancers frequently present with co-mutations in the KEAP1-NRF2 pathway, and because genetic activation of NRF2 results in resistance to all current anti-cancer therapies, we were motivated to explore how aberrant activation of NRF2 impacts the clinical response to KRAS G12C inhibitors. Methods A broad range of techniques, including genetic knockouts, scRNA-seq and surface plasmon resonance, were used to determine the effect of KRAS G12C drugs on NRF2. Results At physiologically-relevant concentrations, both of the clinically-approved KRAS G12C inhibitors Sotorasib and Adagrasib also function as inducers of NRF2. Mechanistically, the same cysteine-targeting functionality which allows these electrophilic drugs to inhibit the mutant KRAS G12C protein also facilitates their binding to cysteine-based sensors in KEAP1, resulting in the upregulation of the NRF2-dependent gene expression program. Conclusions The activation of NRF2 by KRAS-G12C inhibitors represents a unique example of anti-cancer drugs which positively regulate the activity of a protein which is normally considered to be an oncogene. In both the malignant cells of the tumour and immune cells within the microenvironment, activation of NRF2 by electrophilic KRAS inhibitors positively contributes to the clinical efficacy of these drugs by promoting anti-cancer immunity. This unprecedented situation, in which the NRF2-dependent oxidative stress response is induced globally within cancer patients, has a number of important clinical implications, particularly in relation to ongoing combination chemotherapy clinical trials, as well as for selecting patient populations which may derive the most benefit from G12Ci anti-cancer drugs.

  3. Multi-Omics Profiling Reveals Phenotypic and Functional Heterogeneity of Neutrophils in COVID-19

    Lin Zhang, Hafumi Nishi, Kengo Kinoshita

    International Journal of Molecular Sciences 25 (7) 3841-3841 2024年3月29日

    出版者・発行元: MDPI AG

    DOI: 10.3390/ijms25073841  

    eISSN:1422-0067

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    Accumulating evidence has revealed unexpected phenotypic heterogeneity and diverse functions of neutrophils in several diseases. Coronavirus disease (COVID-19) can alter the leukocyte phenotype based on disease severity, including neutrophil activation in severe cases. However, the plasticity of neutrophil phenotypes and their relative impact on COVID-19 pathogenesis has not been well addressed. This study aimed to identify and validate the heterogeneity of neutrophils in COVID-19 and evaluate the functions of each subpopulation. We analyzed public single-cell RNA-seq, bulk RNA-seq, and proteome data from healthy donors and patients with COVID-19 to investigate neutrophil subpopulations and their response to disease pathogenesis. We identified eight neutrophil subtypes: pro-neutrophil, pre-neutrophil, immature neutrophil, and five mature neutrophil subpopulations. The subtypes exhibited distinct features, including diverse activation signatures and multiple enriched pathways. The pro-neutrophil subtype was associated with severe and fatal disease, while the pre-neutrophil subtype was particularly abundant in mild/moderate disease. One of the mature neutrophil subtypes showed consistently large fractions in patients with different disease severity. Bulk RNA-seq dataset analyses using a cellular deconvolution approach validated the relative abundances of neutrophil subtypes and the expansion of pro-neutrophils in severe COVID-19 patients. Cell–cell communication analysis revealed representative ligand–receptor interactions among the identified neutrophil subtypes. Further investigation into transcription factors and differential protein abundance revealed the regulatory network differences between healthy donors and patients with severe COVID-19. Overall, we demonstrated the complex interactions among heterogeneous neutrophil subtypes and other blood cell types during COVID-19 disease. Our work has great value in terms of both clinical and public health as it furthers our understanding of the phenotypic and functional heterogeneity of neutrophils and other cell populations in multiple diseases.

  4. Single-cell RNA-seq public data reveal the gene regulatory network landscape of respiratory epithelial and peripheral immune cells in COVID-19 patients

    Lin Zhang, Hafumi Nishi, Kengo Kinoshita

    Frontiers in Immunology 14 2023年10月23日

    出版者・発行元: Frontiers Media SA

    DOI: 10.3389/fimmu.2023.1194614  

    eISSN:1664-3224

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    Introduction Infection with SARS-CoV-2 leads to coronavirus disease 2019 (COVID-19), which can result in acute respiratory distress syndrome and multiple organ failure. However, its comprehensive influence on pathological immune responses in the respiratory epithelium and peripheral immune cells is not yet fully understood. Methods In this study, we analyzed multiple public scRNA-seq datasets of nasopharyngeal swabs and peripheral blood to investigate the gene regulatory networks (GRNs) of healthy individuals and COVID-19 patients with mild/moderate and severe disease, respectively. Cell-cell communication networks among cell types were also inferred. Finally, validations were conducted using bulk RNA-seq and proteome data. Results Similar and dissimilar regulons were identified within or between epithelial and immune cells during COVID-19 severity progression. The relative transcription factors (TFs) and their targets were used to construct GRNs among different infection sites and conditions. Between respiratory epithelial and peripheral immune cells, different TFs tended to be used to regulate the activity of a cell between healthy individuals and COVID-19 patients, although they had some TFs in common. For example, XBP1, FOS, STAT1, and STAT2 were activated in both the epithelial and immune cells of virus-infected individuals. In contrast, severe COVID-19 cases exhibited activation of CEBPD in peripheral immune cells, while CEBPB was exclusively activated in respiratory epithelial cells. Moreover, in patients with severe COVID-19, although some inflammatory genes, such as S100A8/A9, were found to be upregulated in both respiratory epithelial and peripheral immune cells, their relative regulators can differ in terms of cell types. The cell-cell communication analysis suggested that epidermal growth factor receptor signaling among epithelia contributes to mild/moderate disease, and chemokine signaling among immune cells contributes to severe disease. Conclusion This study identified cell type- and condition-specific regulons in a wide range of cell types from the initial infection site to the peripheral blood, and clarified the diverse mechanisms of maladaptive responses to SARS-CoV-2 infection.

  5. Selective Elimination of NRF2-Activated Cells by Competition With Neighboring Cells in the Esophageal Epithelium 国際誌

    Wataru Hirose, Makoto Horiuchi, Donghan Li, Ikuko N. Motoike, Lin Zhang, Hafumi Nishi, Yusuke Taniyama, Takashi Kamei, Mikiko Suzuki, Kengo Kinoshita, Fumiki Katsuoka, Keiko Taguchi, Masayuki Yamamoto

    Cellular and Molecular Gastroenterology and Hepatology 15 (1) 153-178 2022年9月15日

    出版者・発行元: Elsevier BV

    DOI: 10.1016/j.jcmgh.2022.09.004  

    ISSN:2352-345X

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    BACKGROUND & AIMS: NF-E2-related factor 2 (NRF2) is a transcription factor that regulates cytoprotective gene expression in response to oxidative and electrophilic stresses. NRF2 activity is mainly controlled by Kelch-like ECH-associated protein 1 (KEAP1). Constitutive NRF2 activation by NRF2 mutations or KEAP1 dysfunction results in a poor prognosis for esophageal squamous cell carcinoma (ESCC) through the activation of cytoprotective functions. However, the detailed contributions of NRF2 to ESCC initiation or promotion have not been clarified. Here, we investigated the fate of NRF2-activated cells in the esophageal epithelium. METHODS: We generated tamoxifen-inducible, squamous epithelium-specific Keap1 conditional knockout (Keap1-cKO) mice in which NRF2 was inducibly activated in a subset of cells at the adult stage. Histologic, quantitative reverse-transcription polymerase chain reaction, single-cell RNA-sequencing, and carcinogen experiments were conducted to analyze the Keap1-cKO esophagus. RESULTS: KEAP1-deleted/NRF2-activated cells and cells with normal NRF2 expression (KEAP1-normal cells) coexisted in the Keap1-cKO esophageal epithelium in approximately equal numbers, and NRF2-activated cells formed dysplastic lesions. NRF2-activated cells exhibited weaker attachment to the basement membrane and gradually disappeared from the epithelium. In contrast, neighboring KEAP1-normal cells exhibited accelerated proliferation and started dominating the epithelium but accumulated DNA damage that triggered carcinogenesis upon carcinogen exposure. CONCLUSIONS: Constitutive NRF2 activation promotes the selective elimination of epithelial cells via cell competition, but this competition induces DNA damage in neighboring KEAP1-normal cells, which predisposes them to chemical-induced ESCC.

  6. Transcriptome analysis of Homo sapiens and Mus musculus reveals mechanisms of CD8+ T cell exhaustion caused by different factors

    Lin Zhang, Hafumi Nishi

    PLOS ONE 17 (9) e0274494-e0274494 2022年9月9日

    出版者・発行元: Public Library of Science (PLoS)

    DOI: 10.1371/journal.pone.0274494  

    eISSN:1932-6203

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    T cell exhaustion is a state of T cell dysfunction during chronic infection and cancer. Antibody-targeting immune checkpoint inhibitors to reverse T cell exhaustion is a promising approach for cancer immunotherapy. However, molecular mechanisms of T cell exhaustion remain incompletely understood. Here, we performed a transcriptome analysis by integrating seven exhaustion datasets caused by multiple diseases in both humans and mice. In this study, an overlap of 21 upregulated and 37 downregulated genes was identified in human and mouse exhausted CD8+ T cells. These genes were significantly enriched in exhaustion response-related pathways, such as signal transduction, immune system processes, and regulation of cytokine production. Gene expression network analysis revealed that the well-documented exhaustion genes were defined as hub genes in upregulated genes. In addition, a weighted gene co-expression analysis identified 175 overlapping genes that were significantly correlated with the exhaustion trait in both humans and mice. This study found that overlapping six genes were significantly upregulated and highly related to T cell exhaustion. Finally, we revealed that CD200R1 and ADGRG1, less described previously in exhaustion, contributed to T cell exhaustion. Overall, our findings reveal the mechanisms of T cell exhaustion and provide an important reference to the immunology community.

  7. Divergent evolution of rice blast resistance Pi54 locus in the genus Oryza. 国際誌

    Lin Zhang, Yusuke Nakagomi, Takashi Endo, Mika Teranishi, Jun Hidema, Shusei Sato, Atsushi Higashitani

    Rice (New York, N.Y.) 11 (1) 63-63 2018年12月5日

    DOI: 10.1186/s12284-018-0256-8  

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    BACKGROUND: The rice blast resistance gene Pi54 was cloned from Oryza sativa ssp. indica cv. Tetep, which conferred broad-spectrum resistance against Magnaporthe oryzae. Pi54 allelic variants have been identified in not only domesticates but also wild rice species, but the majority of japonica and some indica cultivars lost the function. RESULTS: We here found that Pi54 (Os11g0639100) and its homolog Os11g0640600 (named as #11) were closely located on a 25 kbp region in japonica cv. Sasanishiki compared to a 99 kbp region in japonica cv. Nipponbare. Sasanishiki lost at least six genes containing one other R-gene cluster (Os11g0639600, Os11g0640000, and Os11g0640300). Eight AA-genome species including five wild rice species were classified into either Nipponbare or Sasanishiki type. The BB-genome wild rice species O. punctata was Sasanishiki type. The FF-genome wild rice species O. brachyantha (the basal lineage of Oryza) was neither, because Pi54 was absent and the orientation of the R-gene cluster was reversed in comparison with Nipponbare-type species. The phylogenetic analysis showed that #11gene of O. brachyantha was on the root of both Pi54 and #11 alleles. All Nipponbare-type Pi54 alleles were specifically disrupted by 143 and 37/44 bp insertions compared to Tetep and Sasanishiki type. In addition, Pi54 of japonica cv. Sasanishiki lost nucleotide-binding site and leucine-rich repeat (NBS-LRR) domains owing to additional mutations. CONCLUSIONS: These results suggest that Pi54 might be derived from a tandem duplication of the ancestor #11 gene in progenitor FF-genome species. Two divergent structures of Pi54 locus caused by a mobile unit containing the nearby R-gene cluster could be developed before domestication. This study provides a potential genetic resource of rice breeding for blast resistance in modern cultivars sustainability.

  8. Independent Evolution of Winner Traits without Whole Genome Duplication in Dekkera Yeasts. 国際誌

    Yi-Cheng Guo, Lin Zhang, Shao-Xing Dai, Wen-Xing Li, Jun-Juan Zheng, Gong-Hua Li, Jing-Fei Huang

    PloS one 11 (5) e0155140 2016年

    DOI: 10.1371/journal.pone.0155140  

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    Dekkera yeasts have often been considered as alternative sources of ethanol production that could compete with S. cerevisiae. The two lineages of yeasts independently evolved traits that include high glucose and ethanol tolerance, aerobic fermentation, and a rapid ethanol fermentation rate. The Saccharomyces yeasts attained these traits mainly through whole genome duplication approximately 100 million years ago (Mya). However, the Dekkera yeasts, which were separated from S. cerevisiae approximately 200 Mya, did not undergo whole genome duplication (WGD) but still occupy a niche similar to S. cerevisiae. Upon analysis of two Dekkera yeasts and five closely related non-WGD yeasts, we found that a massive loss of cis-regulatory elements occurred in an ancestor of the Dekkera yeasts, which led to improved mitochondrial functions similar to the S. cerevisiae yeasts. The evolutionary analysis indicated that genes involved in the transcription and translation process exhibited faster evolution in the Dekkera yeasts. We detected 90 positively selected genes, suggesting that the Dekkera yeasts evolved an efficient translation system to facilitate adaptive evolution. Moreover, we identified that 12 vacuolar H+-ATPase (V-ATPase) function genes that were under positive selection, which assists in developing tolerance to high alcohol and high sugar stress. We also revealed that the enzyme PGK1 is responsible for the increased rate of glycolysis in the Dekkera yeasts. These results provide important insights to understand the independent adaptive evolution of the Dekkera yeasts and provide tools for genetic modification promoting industrial usage.

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    張 琳

    2025年4月 ~ 2027年3月

  2. 2023年度 「TUMUG支援事業」スタートアップ研究費

    2023年8月 ~ 2024年3月

担当経験のある科目(授業) 1

  1. 生命情報システム科学 東北大学