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Nagai LAE, Lee S, Nakato R. Protocol for identifying differentially expressed genes using the RumBall RNA-seq analysis platform. STAR Protoc 2024; 5:102926. [PMID: 38461412 PMCID: PMC10940175 DOI: 10.1016/j.xpro.2024.102926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/30/2023] [Accepted: 02/15/2024] [Indexed: 03/12/2024] Open
Abstract
Here, we present a protocol for the identification of differentially expressed genes through RNA sequencing analysis. Starting with FASTQ files from public datasets, this protocol leverages RumBall within a self-contained Docker system. We describe the steps for software setup, obtaining data, read mapping, sample normalization, statistical modeling, and gene ontology enrichment. We then detail procedures for interpreting results with plots and tables. RumBall internally utilizes popular tools, ensuring a comprehensive understanding of the analysis process.
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Affiliation(s)
- Luis Augusto Eijy Nagai
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, Bunkyo, Tokyo 113-0032, Japan.
| | - Seohyun Lee
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, Bunkyo, Tokyo 113-0032, Japan
| | - Ryuichiro Nakato
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, Bunkyo, Tokyo 113-0032, Japan.
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Nagai H, Nagai LAE, Tasaki S, Nakato R, Umetsu D, Kuranaga E, Miura M, Nakajima Y. Nutrient-driven dedifferentiation of enteroendocrine cells promotes adaptive intestinal growth in Drosophila. Dev Cell 2023; 58:1764-1781.e10. [PMID: 37689060 DOI: 10.1016/j.devcel.2023.08.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 05/05/2023] [Accepted: 08/16/2023] [Indexed: 09/11/2023]
Abstract
Post-developmental organ resizing improves organismal fitness under constantly changing nutrient environments. Although stem cell abundance is a fundamental determinant of adaptive resizing, our understanding of its underlying mechanisms remains primarily limited to the regulation of stem cell division. Here, we demonstrate that nutrient fluctuation induces dedifferentiation in the Drosophila adult midgut to drive adaptive intestinal growth. From lineage tracing and single-cell RNA sequencing, we identify a subpopulation of enteroendocrine (EE) cells that convert into functional intestinal stem cells (ISCs) in response to dietary glucose and amino acids by activating the JAK-STAT pathway. Genetic ablation of EE-derived ISCs severely impairs ISC expansion and midgut growth despite the retention of resident ISCs, and in silico modeling further indicates that EE dedifferentiation enables an efficient increase in the midgut cell number while maintaining epithelial cell composition. Our findings identify a physiologically induced dedifferentiation that ensures ISC expansion during adaptive organ growth in concert with nutrient conditions.
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Affiliation(s)
- Hiroki Nagai
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan; Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Miyagi 980-0845, Japan.
| | | | - Sohei Tasaki
- Graduate School of Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan
| | - Ryuichiro Nakato
- Institute for Quantitative Biosciences, The University of Tokyo, Tokyo 113-0033, Japan
| | - Daiki Umetsu
- Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi 980-0845, Japan; Graduate School of Science, Osaka University, Osaka 560-0043, Japan
| | - Erina Kuranaga
- Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi 980-0845, Japan
| | - Masayuki Miura
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan
| | - Yuichiro Nakajima
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan; Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Miyagi 980-0845, Japan; Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi 980-0845, Japan.
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Nakato R, Sakata T, Wang J, Nagai LAE, Nagaoka Y, Oba GM, Bando M, Shirahige K. Context-dependent perturbations in chromatin folding and the transcriptome by cohesin and related factors. Nat Commun 2023; 14:5647. [PMID: 37726281 PMCID: PMC10509244 DOI: 10.1038/s41467-023-41316-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023] Open
Abstract
Cohesin regulates gene expression through context-specific chromatin folding mechanisms such as enhancer-promoter looping and topologically associating domain (TAD) formation by cooperating with factors such as cohesin loaders and the insulation factor CTCF. We developed a computational workflow to explore how three-dimensional (3D) structure and gene expression are regulated collectively or individually by cohesin and related factors. The main component is CustardPy, by which multi-omics datasets are compared systematically. To validate our methodology, we generated 3D genome, transcriptome, and epigenome data before and after depletion of cohesin and related factors and compared the effects of depletion. We observed diverse effects on the 3D genome and transcriptome, and gene expression changes were correlated with the splitting of TADs caused by cohesin loss. We also observed variations in long-range interactions across TADs, which correlated with their epigenomic states. These computational tools and datasets will be valuable for 3D genome and epigenome studies.
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Affiliation(s)
- Ryuichiro Nakato
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan.
| | - Toyonori Sakata
- Laboratory of Genome Structure and Function, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan
- Karolinska Institutet, Department of Biosciences and Nutrition, Biomedicum, Quarter A6, 171 77, Stockholm, Sweden
- Karolinska Institutet, Department of Cell and Molecular Biology, Biomedicum, Quarter A6, 171 77, Stockholm, Sweden
| | - Jiankang Wang
- School of Biomedical Sciences, Hunan University, Changsha, China
| | - Luis Augusto Eijy Nagai
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan
| | - Yuya Nagaoka
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan
| | - Gina Miku Oba
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan
| | - Masashige Bando
- Laboratory of Genome Structure and Function, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan
| | - Katsuhiko Shirahige
- Laboratory of Genome Structure and Function, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan.
- Karolinska Institutet, Department of Biosciences and Nutrition, Biomedicum, Quarter A6, 171 77, Stockholm, Sweden.
- Karolinska Institutet, Department of Cell and Molecular Biology, Biomedicum, Quarter A6, 171 77, Stockholm, Sweden.
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Wei L, Luan S, Nagai LAE, Su R, Zou Q. Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinformatics 2020; 35:1326-1333. [PMID: 30239627 DOI: 10.1093/bioinformatics/bty824] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 09/12/2018] [Accepted: 09/18/2018] [Indexed: 12/20/2022] Open
Abstract
MOTIVATION As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) is recently shown to play crucial roles in restriction-modification systems. For better understanding of their functional mechanisms, it is fundamentally important to identify 4mC modification. Machine learning methods have recently emerged as an effective and efficient approach for the high-throughput identification of 4mC sites, although high predictive error rates are still challenging for existing methods. Therefore, it is highly desirable to develop a computational method to more accurately identify m4C sites. RESULTS In this study, we propose a machine learning based predictor, namely 4mcPred-SVM, for the genome-wide detection of DNA 4mC sites. In this predictor, we present a new feature representation algorithm that sufficiently exploits sequence-based information. To improve the feature representation ability, we use a two-step feature optimization strategy, thereby obtaining the most representative features. Using the resulting features and Support Vector Machine (SVM), we adaptively train the optimal models for different species. Comparative results on benchmark datasets from six species indicate that our predictor is able to achieve generally better performance in predicting 4mC sites as compared to the state-of-the-art predictors. Importantly, the sequence-based features can reliably and robust predict 4mC sites, facilitating the discovery of potentially important sequence characteristics for the prediction of 4mC sites. AVAILABILITY AND IMPLEMENTATION The user-friendly webserver that implements the proposed 4mcPred-SVM is well established, and is freely accessible at http://server.malab.cn/4mcPred-SVM. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Leyi Wei
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China
| | - Shasha Luan
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China
| | - Luis Augusto Eijy Nagai
- Lab of Functional Analysis In Silico, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Ran Su
- School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China
| | - Quan Zou
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China.,Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
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Nagai LAE, Park SJ, Nakai K. Analyzing the 3D chromatin organization coordinating with gene expression regulation in B-cell lymphoma. BMC Med Genomics 2019; 11:127. [PMID: 30894186 PMCID: PMC7402584 DOI: 10.1186/s12920-018-0437-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 11/21/2018] [Indexed: 01/11/2023] Open
Abstract
Background Eukaryotes compact chromosomes densely and non-randomly, forming three-dimensional structures. Alterations of the chromatin structures are often associated with diseases. In particular, aggressive cancer development from the disruption of the humoral immune system presents abnormal gene regulation which is accompanied by chromatin reorganizations. How the chromatin structures orchestrate the gene expression regulation is still poorly understood. Herein, we focus on chromatin dynamics in normal and abnormal B cell lymphocytes, and investigate its functional impact on the regulation of gene expression. Methods We conducted an integrative analysis using publicly available multi-omics data that include Hi-C, RNA-seq and ChIP-seq experiments with normal B cells, lymphoma and ES cells. We processed and re-analyzed the data exhaustively and combined different scales of genome structures with transcriptomic and epigenetic features. Results We found that the chromatin organizations are highly preserved among the cells. 5.2% of genes at the specific repressive compartment in normal pro-B cells were switched to the permissive compartment in lymphoma along with increased gene expression. The genes are involved in B-cell related biological processes. Remarkably, the boundaries of topologically associating domains were not enriched by CTCF motif, but significantly enriched with Prdm1 motif that is known to be the key factor of B-cell dysfunction in aggressive lymphoma. Conclusions This study shows evidence of a complex relationship between chromatin reorganization and gene regulation. However, an unknown mechanism may exist to restrict the structural and functional changes of genomic regions and cognate genes in a specific manner. Our findings suggest the presence of an intricate crosstalk between the higher-order chromatin structure and cancer development. Electronic supplementary material The online version of this article (10.1186/s12920-018-0437-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Luis Augusto Eijy Nagai
- Department of Computational Biology and Medical Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba, 277-8562, Japan
| | - Sung-Joon Park
- Human Genome Center, the Institute of Medical Science, the University of Tokyo, 4-6-1 Shirokanedai Minato-ku, Tokyo, 108-8639, Japan
| | - Kenta Nakai
- Department of Computational Biology and Medical Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba, 277-8562, Japan. .,Human Genome Center, the Institute of Medical Science, the University of Tokyo, 4-6-1 Shirokanedai Minato-ku, Tokyo, 108-8639, Japan.
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