Yuta Kochi

Dr. Yuta Kochi


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 November 2022 in Nature Genetics
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KIKazuyoshi Ishigaki
Kazuyoshi Ishigaki
SSSaori Sakaue
Saori Sakaue
CTChikashi Terao
Chikashi Terao
YLYang Luo
Yang Luo
KSKyuto Sonehara
Kyuto Sonehara
SRSoumya Raychaudhuri
Soumya Raychaudhuri

24 August 2022 in Nature Communications
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KYKensuke Yamaguchi
Kensuke Yamaguchi
KIKazuyoshi Ishigaki
Kazuyoshi Ishigaki
ASAkari Suzuki
Akari Suzuki
YTYumi Tsuchida
Yumi Tsuchida
HTHaruka Tsuchiya
Haruka Tsuchiya
YKYuta Kochi
Yuta Kochi
Splicing quantitative trait loci (sQTLs) are one of the major causal mechanisms in genome-wide association study (GWAS) loci, but their role in disease pathogenesis is poorly understood. One reason is the complexity of alternative splicing events producing many unknown isoforms. Here, we propose two approaches, namely integration and selection, for this complexity by focusing on protein-structure of isoforms. First, we integrate isoforms with the same coding sequence (CDS) and identify 369-601 integrated-isoform ratio QTLs (i2-rQTLs), which altered protein-structure, in six immune subsets. Second, we select CDS incomplete isoforms annotated in GENCODE and identify 175-337 isoform-ratio QTL (i-rQTL). By comprehensive long-read capture RNA-sequencing among these incomplete isoforms, we reveal 29 full-length isoforms with unannotated CDSs associated with GWAS traits. Furthermore, we show that disease-causal sQTL genes can be identified by evaluating their trans-eQTL effects. Our approaches highlight the understudied role of protein-altering sQTLs and are broadly applicable to other tissues and diseases.

2 March 2022 in Annals of the Rheumatic Diseases
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YTYusuke Takeshima
Yusuke Takeshima
YIYukiko Iwasaki
Yukiko Iwasaki
MNMasahiro Nakano
Masahiro Nakano
YNYuta Narushima
Yuta Narushima
MOMineto Ota
Mineto Ota
KFKeishi Fujio
Keishi Fujio
Objective Systemic lupus erythematosus (SLE) is the prototypical systemic autoimmune disease. While the long-term prognosis has greatly improved, better long-term survival is still necessary. The type I interferon (IFN) signature, a prominent feature of SLE, is not an ideal therapeutic target or outcome predictor. To explore immunological pathways in SLE more precisely, we performed transcriptomic, epigenomic and genomic analyses using 19 immune cell subsets from peripheral blood. Methods We sorted 19 immune cell subsets and identified the mRNA expression profiles and genetic polymorphisms in 107 patients with SLE and 92 healthy controls. Combined differentially expressed genes and expression quantitative trait loci analysis was conducted to find key driver genes in SLE pathogenesis. Results We found transcriptomic, epigenetic and genetic importance of oxidative phosphorylation (OXPHOS)/mitochondrial dysfunction in SLE memory B cells. Particularly, we identified an OXPHOS-regulating gene, PRDX6 (peroxiredoxin 6), as a key driver in SLE B cells. Prdx6-deficient B cells showed upregulated mitochondrial respiration as well as antibody production. We revealed OXPHOS signature was associated with type I IFN signalling-related genes (ISRGs) signature in SLE memory B cells. Furthermore, the gene sets related to innate immune signalling among ISRGs presented correlation with OXPHOS and these two signatures showed associations with SLE organ damage as well as specific clinical phenotypes. Conclusion This work elucidated the potential prognostic marker for SLE. Since OXPHOS consists of the electron transport chain, a functional unit in mitochondria, these findings suggest the importance of mitochondrial dysfunction as a key immunological pathway involved in SLE.

25 January 2008 in Journal of Human Genetics
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TOTetsuya Oishi
Tetsuya Oishi
AIAritoshi Iida
Aritoshi Iida
SOShigeru Otsubo
Shigeru Otsubo
YKYoichiro Kamatani
Yoichiro Kamatani
MUMasayuki Usami
Masayuki Usami
KMKoichi Matsuda
Koichi Matsuda
Journal of Human Genetics, official journal of the Japan Society of Human Genetics, publishes original articles and reviews on all aspects of human genetics, including medical genetics and genomics

28 May 2024 in Nature Communications
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JIJun Inamo
Jun Inamo
ASAkari Suzuki
Akari Suzuki
MUMahoko Takahashi Ueda
Mahoko Takahashi Ueda
KYKensuke Yamaguchi
Kensuke Yamaguchi
HNHiroshi Nishida
Hiroshi Nishida
YKYuta Kochi
Yuta Kochi
Alternative splicing events are a major causal mechanism for complex traits, but they have been understudied due to the limitation of short-read sequencing. Here, we generate a full-length isoform annotation of human immune cells from an individual by long-read sequencing for 29 cell subsets. This contains a number of unannotated transcripts and isoforms such as a read-through transcript of TOMM40-APOE in the Alzheimer’s disease locus. We profile characteristics of isoforms and show that repetitive elements significantly explain the diversity of unannotated isoforms, providing insight into the human genome evolution. In addition, some of the isoforms are expressed in a cell-type specific manner, whose alternative 3’-UTRs usage contributes to their specificity. Further, we identify disease-associated isoforms by isoform switch analysis and by integration of several quantitative trait loci analyses with genome-wide association study data. Our findings will promote the elucidation of the mechanism of complex diseases via alternative splicing.

24 May 2022 in Annals of the Rheumatic Diseases
Verified
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XYXianyong Yin
Xianyong Yin
KKKwangwoo Kim
Kwangwoo Kim
HSHiroyuki Suetsugu
Hiroyuki Suetsugu
SBSo-Young Bang
So-Young Bang
LWLeilei Wen
Leilei Wen
SBSuk-Chul Bae
Suk-Chul Bae
Objective Genome-wide association studies (GWAS) have identified >100 risk loci for systemic lupus erythematosus (SLE), but the disease genes at most loci remain unclear, hampering translation of these genetic discoveries. We aimed to prioritise genes underlying the 110 SLE loci that were identified in the latest East Asian GWAS meta-analysis. Methods We built gene expression predictive models in blood B cells, CD4+ and CD8+ T cells, monocytes, natural killer cells and peripheral blood cells of 105 Japanese individuals. We performed a transcriptome-wide association study (TWAS) using data from the latest genome-wide association meta-analysis of 208 370 East Asians and searched for candidate genes using TWAS and three data-driven computational approaches. Results TWAS identified 171 genes for SLE (p<1.0×10–5); 114 (66.7%) showed significance only in a single cell type; 127 (74.3%) were in SLE GWAS loci. TWAS identified a strong association between CD83 and SLE (p<7.7×10–8). Meta-analysis of genetic associations in the existing 208 370 East Asian and additional 1498 cases and 3330 controls found a novel single-variant association at rs72836542 (OR=1.11, p=4.5×10–9) around CD83. For the 110 SLE loci, we identified 276 gene candidates, including 104 genes at recently-identified SLE novel loci. We demonstrated in vitro that putative causal variant rs61759532 exhibited an allele-specific regulatory effect on ACAP1, and that presence of the SLE risk allele decreased ACAP1 expression. Conclusions Cell-level TWAS in six types of immune cells complemented SLE gene discovery and guided the identification of novel genetic associations. The gene findings shed biological insights into SLE genetic associations.