4.2 Article

Diversification of CpG-Island Promoters Revealed by Comparative Analysis Between Human and Rhesus Monkey Genomes

Journal

MAMMALIAN GENOME
Volume 31, Issue 7-8, Pages 240-251

Publisher

SPRINGER
DOI: 10.1007/s00335-020-09844-2

Keywords

-

Funding

  1. NCCHD [2019C15]
  2. KAKENHI [23770273]
  3. Grants-in-Aid for Scientific Research [23770273] Funding Source: KAKEN

Ask authors/readers for more resources

While CpG dinucleotides are significantly reduced compared to other dinucleotides in mammalian genomes, they can congregate and form CpG islands, which localize around the 5MODIFIER LETTER PRIME regions of genes, where they function as promoters. CpG-island promoters are generally unmethylated and are often found in housekeeping genes. However, their nucleotide sequences and existence per se are not conserved between humans and mice, which may be due to evolutionary gain and loss of the regulatory regions. In this study, human and rhesus monkey genomes, with moderately conserved sequences, were compared at base resolution. Using transcription start site data, we first validated our methods' ability to identify orthologous promoters and indicated a limitation using the 5MODIFIER LETTER PRIME end of curated gene models, such as NCBI RefSeq, as their transcription start sites. We found that, in addition to deamination mutations, insertions and deletions of bases, repeats, and long fragments contributed to the mutations of CpG dinucleotides. We also observed that the G + C contents tended to change in CpG-poor environments, while CpG content was altered in G + C-rich environments. While loss of CpG islands can be caused by gradual decreases in CpG sites, gain of these islands appear to require two distinct nucleotide altering steps. Taken together, our findings provide novel insights into the process of acquisition and diversification of CpG-island promoters in vertebrates.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Plant Sciences

SAP130 and CSN1 interact and regulate male gametogenesis in Arabidopsis thaliana

Shiori S. Aki, Kei Yura, Takashi Aoyama, Tomohiko Tsuge

Summary: The COP9 signalosome (CSN) complex in Arabidopsis thaliana governs various developmental processes, with a specific CSN1 subunit transgenic plant showing defects in pollen development related to SAP130. Analysis of their interaction revealed that approximately 100 amino-acid residues at the N-terminal end of CSN1 are essential for the interaction, supporting a model where CSN1 embeds itself in the complex and reaches out to targets through its N-terminal portion. This study is the first to document the identical loss-of-function phenotypes of CSN1 and SAP130 during male gametogenesis, suggesting coordinated regulation of male reproductive organ development by SAP130 and CSN1.

JOURNAL OF PLANT RESEARCH (2021)

Article Biology

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design

Keiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, Masae Konno, Daichi Yamada, Kentaro Mannen, Takashi Nagata, Yu Inatsu, Hiromu Yawo, Kei Yura, Oded Beja, Hideki Kandori, Ichiro Takeuchi

Summary: Inoue, Takeuchi and colleagues propose a machine learning-based protocol to screen rhodopsins for their likelihood to be red-shifted. After experimental verification, their tool shows remarkable success at identifying rhodopsins that showed red-shift gains.

COMMUNICATIONS BIOLOGY (2021)

Correction Biology

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design (vol 4, pg 362, 2021)

Keiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, Masae Konno, Daichi Yamada, Kentaro Mannen, Takashi Nagata, Yu Inatsu, Hiromu Yawo, Kei Yura, Oded Beja, Hideki Kandori, Ichiro Takeuchi

COMMUNICATIONS BIOLOGY (2021)

Article Plant Sciences

CFI 25 Subunit of Cleavage Factor I is Important for Maintaining the Diversity of 3MODIFIER LETTER PRIME UTR Lengths in Arabidopsis thaliana (L.) Heynh.

Xiaojuan Zhang, Mika Nomoto, Marta Garcia-Leon, Naoki Takahashi, Mariko Kato, Kei Yura, Masaaki Umeda, Vicente Rubio, Yasuomi Tada, Tsuyoshi Furumoto, Takashi Aoyama, Tomohiko Tsuge

Summary: This study found that the plant CFI 25 subunit plays an important role in maintaining the diversity of mRNA 3' ends. Multiple forms of CFI exist in plants, and AtCFI 25a is essential for maintaining the proper diversity of 3' end lengths of transcripts coding for CFI subunits and plays important roles in Arabidopsis development.

PLANT AND CELL PHYSIOLOGY (2022)

Article Biochemistry & Molecular Biology

Protein Data Bank Japan: Celebrating our 20th anniversary during a global pandemic as the Asian hub of three dimensional macromolecular structural data

Gert-Jan Bekker, Masashi Yokochi, Hirofumi Suzuki, Yasuyo Ikegawa, Takeshi Iwata, Takahiro Kudou, Kei Yura, Toshimichi Fujiwara, Takeshi Kawabata, Genji Kurisu

Summary: Protein Data Bank Japan (PDBj), a founding member of the worldwide Protein Data Bank (wwPDB), has continuously improved and expanded its query search interface and services over the past 20 years, making significant contributions to the acceptance, processing, and distribution of experimentally determined biological macromolecular structures. During the COVID-19 pandemic, PDBj has also provided feature pages for COVID-19 related entries and outreach content for high school students and teachers.

PROTEIN SCIENCE (2022)

Article Multidisciplinary Sciences

Collection of 2429 constrained headshots of 277 volunteers for deep learning

Saki Aoto, Mayumi Hangai, Hitomi Ueno-Yokohata, Aki Ueda, Maki Igarashi, Yoshikazu Ito, Motoko Tsukamoto, Tomoko Jinno, Mika Sakamoto, Yuka Okazaki, Fuyuki Hasegawa, Hiroko Ogata-Kawata, Saki Namura, Kazuaki Kojima, Masao Kikuya, Keiko Matsubara, Kosuke Taniguchi, Kohji Okamura

Summary: Deep learning has permeated many aspects of human life, particularly image recognition using convolutional neural networks. However, the need for big data and laborious manual annotation often hinders the application of deep learning. To address this issue, we collected 2429 constrained headshot images of 277 volunteers and established an online procedure to obtain informed consent and image data.

SCIENTIFIC REPORTS (2022)

Article Microbiology

Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral

Keigo Ide, Yohei Nishikawa, Toru Maruyama, Yuko Tsukada, Masato Kogawa, Hiroki Takeda, Haruka Ito, Ryota Wagatsuma, Rimi Miyaoka, Yoshikatsu Nakano, Koji Kinjo, Michihiro Ito, Masahito Hosokawa, Kei Yura, Shoichiro Suda, Haruko Takeyama

Summary: This study utilized a novel single-cell genomics technique to obtain the genomes of uncultured coral-associated Endozoicomonas spp. and discovered that different Endozoicomonas species may have varying host adaptation strategies and functional potentials.

MICROBIOME (2022)

Article Genetics & Heredity

Automated urinary sediment detection for Fabry disease using deep-learning algorithms

Hidetaka Uryu, Ohsuke Migita, Minami Ozawa, Chikako Kamijo, Saki Aoto, Kohji Okamura, Fuyuki Hasegawa, Torayuki Okuyama, Motomichi Kosuga, Kenichiro Hata

Summary: Fabry disease is a rare congenital lysosomal storage disease that is difficult to diagnose early. In this study, a deep neural network model was built using artificial intelligence and a novel image amplification method to detect Fabry disease from urine samples, achieving high sensitivity and specificity.

MOLECULAR GENETICS AND METABOLISM REPORTS (2022)

Article Biotechnology & Applied Microbiology

Isolation and genomic analysis of a type IV pili-independent Thermus thermophilus phage, OMN1 from a Japanese hot spring

Masatada Tamakoshi, Atsushi Hijikata, Kei Yura, Kenshiro Oshima, Hidehiro Toh, Kaoru Mitsuoka, Tairo Oshima, Yoshitaka Bessho

Summary: A Thermus thermophilus lytic phage OMN1 was isolated from a Japanese hot spring. OMN1 has a unique morphology, with an icosahedral head and a contractile tail, and belongs to Myoviridae family. The receptor molecules for the phage were uniformly distributed on the outer surface of the host cells. Analysis of the OMN1 genome revealed the presence of DNA fragments from different origins, suggesting a gradual evolution through gene recombination for host cell adaptation. This newly isolated phage provides important insights into the evolution of thermophilic phages.

JOURNAL OF GENERAL AND APPLIED MICROBIOLOGY (2023)

Article Biotechnology & Applied Microbiology

ThermusQ: Toward the cell simulation platform for Thermus thermophilus

Atsushi Hijikata, Tairo Oshima, Kei Yura, Yoshitaka Bessho

Summary: ThermusQ is a website that aims to gather and provide molecular information on Thermus thermophilus bacterium. It includes genome sequences of various strains and phages, and offers tools for retrieving sequence data. The website enables researchers to identify strain-specific characteristics and missing important data.

JOURNAL OF GENERAL AND APPLIED MICROBIOLOGY (2023)

Article Biotechnology & Applied Microbiology

Whole genome analyses for c-type cytochromes associated with respiratory chains in the extreme thermophile, Thermus thermophilus

Koyu Hon-nami, Atsushi Hijikata, Kei Yura, Yoshitaka Bessho

Summary: In this study, the confirmation of 19 c-type cytochromes among 27 selected genes in thermophilic microorganisms was described. The analysis of these genes using a bioinformatics approach revealed the presence of unique beta-strands in the c-type cytochrome domains of Thermus, leading to the proposal of new names for these genes.

JOURNAL OF GENERAL AND APPLIED MICROBIOLOGY (2023)

Article Biochemical Research Methods

O3C Glass-Class: A Machine-Learning Framework for Prognostic Prediction of Ovarian Clear-Cell Carcinoma

Ryo Yokomizo, Tiago J. S. Lopes, Nagisa Takashima, Sou Hirose, Ayako Kawabata, Masataka Takenaka, Yasushi Iida, Nozomu Yanaihara, Kei Yura, Haruhiko Sago, Aikou Okamoto, Akihiro Umezawa

Summary: The study analyzed pathological images of OCCC and used machine learning to establish a classifier that accurately predicted recurrence, progression-free survival, and overall survival of patients, providing valuable prognosis information and assisting in personalized treatment strategies.

BIOINFORMATICS AND BIOLOGY INSIGHTS (2022)

Article Ecology

Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater

Yohei Nishikawa, Masato Kogawa, Masahito Hosokawa, Ryota Wagatsuma, Katsuhiko Mineta, Kai Takahashi, Keigo Ide, Kei Yura, Hayedeh Behzad, Takashi Gojobori, Haruko Takeyama

Summary: An improved single-cell genomics platform, SAG-gel, was developed to overcome the limitations of current metagenomics. By using gel beads, SAG-gel achieved efficient single-cell isolation, lysis, and whole genome amplification. The versatility of SAG-gel was validated through single-cell genome sequencing of model bacteria and environmental samples. The results showed improved genome coverage and revealed virus-host linkages.

ISME COMMUNICATIONS (2022)

Article Biophysics

Computational study of the impact of nucleotide variations on highly conserved proteins: In the case of actin

Ha T. T. Duong, Hirofumi Suzuki, Saki Katagiri, Mayu Shibata, Misae Arai, Kei Yura

Summary: Sequencing individual human genomes allows for studying the relationship between nucleotide variations, amino acid substitutions, their effects on protein structures and diseases. This study focuses on actin, a highly conserved protein, and finds that variations on the surface of the protein tend to be pathogenic, while variations buried inside the protein are more benign.

BIOPHYSICS AND PHYSICOBIOLOGY (2022)

Article Multidisciplinary Sciences

Single-cell metabolite detection and genomics reveals uncultivated talented producer

Masato Kogawa, Rimi Miyaoka, Franziska Hemmerling, Masahiro Ando, Kei Yura, Keigo Ide, Yohei Nishikawa, Masahito Hosokawa, Yuji Ise, Jackson K. B. Cahn, Kentaro Takada, Shigeki Matsunaga, Tetsushi Mori, Joern Piel, Haruko Takeyama

Summary: This study presents an analysis pipeline for the efficient identification of uncultivated producers in the microbiomes, highlighting the importance of complementary technologies. It reveals a new bacterium as the producer of previously unassigned antifungal compounds in a chemically rich bacteriosponge, suggesting an even higher chemical richness than previously appreciated. The research also shows remarkable parallels between distantly related symbionts of the same host and adds functional support for diverse chemically prolific lineages in microbial dark matter.

PNAS NEXUS (2022)

No Data Available