KEGG: Kyoto Encyclopedia of Genes and Genomes

Cited by (416)

Items 201–300 of 416

1. A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1
   Sigurdsson, Martin I, Jamshidi, Neema, Steingrimsson, Eirikur, Thiele, Ines, Palsson, Bernhard Ø · 2010 · BMC Systems Biology
2. Microbiota and cancer immunotherapy: in search of microbial signals
   Gharaibeh, Raad Z, Jobin, Christian · 2019 · Gut
3. Single-cell ATAC sequencing analysis: From data preprocessing to hypothesis generation
   Baek, Seungbyn, Lee, Insuk · 2020 · Computational and Structural Biotechnology Journal
4. A human multi-lineage hepatic organoid model for liver fibrosis
   Guan, Yuan, Enejder, Annika, Wang, Meiyue, Fang, Zhuoqing, Cui, Lu, Chen, Shih-Yu, Wang, Jingxiao, Tan, Yalun, Wu, Manhong, Chen, Xinyu et al. · 2021 · Nature Communications
5. Accurately assessing the risk of schizophrenia conferred by rare copy-number variation affecting genes with brain function
   Raychaudhuri, Soumya, Korn, Joshua M., McCarroll, Steven A., The International Schizophrenia Consortium, Altshuler, David, Sklar, Pamela, Purcell, Shaun, Daly, Mark J. · 2010 · PLoS Genetics
6. Transcriptional consequences of 16p11.2 deletion and duplication in mouse cortex and multiplex autism families
   Blumenthal, Ian, Ragavendran, Ashok, Erdin, Serkan, Klei, Lambertus, Sugathan, Aarathi, Guide, Jolene R., Manavalan, Poornima, Zhou, Julian Q., Wheeler, Vanessa C., Levin, Joshua Z. et al. · 2014 · The American Journal of Human Genetics
7. Red fox genome assembly identifies genomic regions associated with tame and aggressive behaviours
   Kukekova, Anna V., Johnson, Jennifer L., Xiang, Xueyan, Feng, Shaohong, Liu, Shiping, Rando, Halie M., Kharlamova, Anastasiya V., Herbeck, Yury, Serdyukova, Natalya A., Xiong, Zijun et al. · 2018 · Nature Ecology & Evolution
8. Transcriptional and functional insights into the host immune response against the emerging fungal pathogen Candida auris
   Bruno, Mariolina, Kersten, Simone, Bain, Judith M., Jaeger, Martin, Rosati, Diletta, Kruppa, Michael D., Lowman, Douglas W., Rice, Peter J., Graves, Bridget, Ma, Zuchao et al. · 2020 · Nature Microbiology
9. A comprehensive modular map of molecular interactions in RB/E2F pathway
   Calzone, Laurence, Gelay, Amélie, Zinovyev, Andrei, Radvanyi, François, Barillot, Emmanuel · 2008 · Molecular Systems Biology
10. Exploration of databases and methods supporting drug repurposing: a comprehensive survey
    Tanoli, Ziaurrehman, Seemab, Umair, Scherer, Andreas, Wennerberg, Krister, Tang, Jing, Vähä-Koskela, Markus · 2021 · Briefings in Bioinformatics
11. The goose genome sequence leads to insights into the evolution of waterfowl and susceptibility to fatty liver
    Lu, Lizhi, Chen, Yan, Wang, Zhuo, Li, Xiaofeng, Chen, Weihu, Tao, Zhengrong, Shen, Junda, Tian, Yong, Wang, Deqian, Li, Guoqin et al. · 2015 · Genome biology
12. DNA methylation across the genome in aged human skeletal muscle tissue and muscle-derived cells: The role of HOX genes and physical activity
    Turner, D. C., Gorski, P. P., Maasar, M. F., Seaborne, R. A., Baumert, P., Brown, A. D., Kitchen, M. O., Erskine, R. M., Dos-Remedios, I., Voisin, S. et al. · 2020 · Scientific Reports
13. Acute sleep loss results in tissue-specific alterations in genome-wide DNA methylation state and metabolic fuel utilization in humans
    Cedernaes, Jonathan, Schönke, Milena, Westholm, Jakub Orzechowski, Mi, Jia, Chibalin, Alexander, Voisin, Sarah, Osler, Megan, Vogel, Heike, Hörnaeus, Katarina, Dickson, Suzanne L. et al. · 2018 · Science Advances
14. Serum Biomarkers of Habitual Coffee Consumption May Provide Insight into the Mechanism Underlying the Association between Coffee Consumption and Colorectal Cancer
    Guertin, Kristin A, Loftfield, Erikka, Boca, Simina M, Sampson, Joshua N, Moore, Steven C, Xiao, Qian, Huang, Wen-Yi, Xiong, Xiaoqin, Freedman, Neal D, Cross, Amanda J et al. · 2015 · The American Journal of Clinical Nutrition
15. Weaning age influences the severity of gastrointestinal microbiome shifts in dairy calves
    Meale, S. J., Li, S. C., Azevedo, P., Derakhshani, H., DeVries, T. J., Plaizier, J. C., Steele, M. A., Khafipour, E. · 2017 · Scientific Reports
16. The Role of Energy Metabolism Dysfunction and Oxidative Stress in Schizophrenia Revealed by Proteomics
    Martins-de-Souza, Daniel, Harris, Laura W., Guest, Paul C., Bahn, Sabine · 2011 · Antioxidants & Redox Signaling
17. Deep learning allows genome-scale prediction of Michaelis constants from structural features
    Kroll, Alexander, Engqvist, Martin K. M., Heckmann, David, Lercher, Martin J. · 2021 · PLOS Biology
18. Short-term high fat-feeding results in morphological and metabolic adaptations in the skeletal muscle of C57BL/6J mice
    de Wilde, Janneke, Mohren, Ronny, van den Berg, Sjoerd, Boekschoten, Mark, Dijk, Ko Willems-Van, de Groot, Philip, Müller, Michael, Mariman, Edwin, Smit, Egbert · 2008 · Physiological Genomics
19. Multi‐omic rejuvenation of naturally aged tissues by a single cycle of transient reprogramming
    Chondronasiou, Dafni, Gill, Diljeet, Mosteiro, Lluc, Urdinguio, Rocio G., Berenguer‐Llergo, Antonio, Aguilera, Mònica, Durand, Sylvere, Aprahamian, Fanny, Nirmalathasan, Nitharsshini, Abad, Maria et al. · 2022 · Aging Cell
20. Drug databases and their contributions to drug repurposing
    Masoudi-Sobhanzadeh, Yosef, Omidi, Yadollah, Amanlou, Massoud, Masoudi-Nejad, Ali · 2020 · Genomics
21. Machine Learning in Pharmacometrics: Opportunities and Challenges
    McComb, Mason, Bies, Robert, Ramanathan, Murali · 2022 · British Journal of Clinical Pharmacology
22. Genolevures: protein families and synteny among complete hemiascomycetous yeast proteomes and genomes.
    Sherman, David J., Martin, Tiphaine, Nikolski, Macha, Cayla, Cyril, Souciet, Jean-Luc, Durrens, Pascal · 2009 · Nucleic Acids Research
23. Skeletal muscle gene expression in response to resistance exercise: sex specific regulation
    Liu, Dongmei, Sartor, Maureen A, Nader, Gustavo A, Gutmann, Laurie, Treutelaar, Mary K, Pistilli, Emidio E, IglayReger, Heidi B, Burant, Charles F, Hoffman, Eric P, Gordon, Paul M · 2010 · BMC Genomics
24. A missing link between complex I and group 4 membrane-bound [NiFe] hydrogenases
    Marreiros, Bruno C., Batista, Ana P., Duarte, Afonso M.S., Pereira, Manuela M. · 2013 · Biochimica et Biophysica Acta (BBA) - Bioenergetics
25. Mining microbes for mental health: determining the role of microbial metabolic pathways in human brain health and disease
    Spichak, Simon, Bastiaanssen, Thomaz F.S., Berding, Kirsten, Vlckova, Klara, Clarke, Gerard, Dinan, Timothy G., Cryan, John F. · 2021 · Neuroscience & Biobehavioral Reviews
26. Deep proteome analysis identifies age-related processes in C. elegans
    Narayan, Vikram, Ly, Tony, Pourkarimi, Ehsan, Murillo, Alejandro Brenes, Gartner, Anton, Lamond, Angus I., Kenyon, Cynthia · 2016 · Cell Systems
27. The alteration of gut microbiome and metabolism in amyotrophic lateral sclerosis patients
    Zeng, Qianqian, Shen, Jie, Chen, Kangzhi, Zhou, Jinxia, Liao, Qiao, Lu, Ke, Yuan, Jiao, Bi, Fangfang · 2020 · Scientific Reports
28. Colonic Transit Time Is a Driven Force of the Gut Microbiota Composition and Metabolism: In Vitro Evidence
    Tottey, William, Feria-Gervasio, David, Gaci, Nadia, Laillet, Brigitte, Pujos, Estelle, Martin, Jean-François, Sebedio, Jean-Louis, Sion, Benoit, Jarrige, Jean-François, Alric, Monique et al. · 2017 · Journal of Neurogastroenterology and Motility
29. Orally administered Odoribacter laneus improves glucose control and inflammatory profile in obese mice by depleting circulating succinate
    Huber-Ruano, Isabel, Calvo, Enrique, Mayneris-Perxachs, Jordi, Rodríguez-Peña, M-Mar, Ceperuelo-Mallafré, Victòria, Cedó, Lídia, Núñez-Roa, Catalina, Miro-Blanch, Joan, Arnoriaga-Rodríguez, María, Balvay, Aurélie et al. · 2022 · Microbiome
30. Bioinformatics opportunities for identification and study of medicinal plants
    Sharma, V., Sarkar, I. N. · 2013 · Briefings in Bioinformatics
31. Genomic factors shape carbon and nitrogen metabolic niche breadth across Saccharomycotina yeasts
    Opulente, Dana A., LaBella, Abigail Leavitt, Harrison, Marie-Claire, Wolters, John F., Liu, Chao, Li, Yonglin, Kominek, Jacek, Steenwyk, Jacob L., Stoneman, Hayley R., VanDenAvond, Jenna et al. · 2024 · Science
32. Genome-wide association study of severity in multiple sclerosis
    International Multiple Sclerosis Genetics Consortium, Briggs, Farren B S, Shao, Xiaorong, Goldstein, Benjamin A, Oksenberg, Jorge R, Barcellos, Lisa F, De Jager, Philip L · 2011 · Genes & Immunity
33. A central metabolic circuit controlled by QseC in pathogenic <i>Escherichia coli</i>
    Hadjifrangiskou, Maria, Kostakioti, Maria, Chen, Swaine L., Henderson, Jeffrey P., Greene, Sarah E., Hultgren, Scott J. · 2011 · Molecular Microbiology
34. Analysis of 1321 Eubacterium rectale genomes from metagenomes uncovers complex phylogeographic population structure and subspecies functional adaptations
    Karcher, Nicolai, Pasolli, Edoardo, Asnicar, Francesco, Huang, Kun D., Tett, Adrian, Manara, Serena, Armanini, Federica, Bain, Debbie, Duncan, Sylvia H., Louis, Petra et al. · 2020 · Genome Biology
35. Reference genome of wild goat (Capra aegagrus) and sequencing of goat breeds provide insight into genic basis of goat domestication
    Dong, Yang, Zhang, Xiaolei, Xie, Min, Arefnezhad, Babak, Wang, Zongji, Wang, Wenliang, Feng, Shaohong, Huang, Guodong, Guan, Rui, Shen, Wenjing et al. · 2015 · BMC Genomics
36. Dyslipidemia, inflammation, calcification, and adiposity in aortic stenosis: a genome-wide study
    Yu Chen, Hao, Dina, Christian, Small, Aeron M, Shaffer, Christian M, Levinson, Rebecca T, Helgadóttir, Anna, Capoulade, Romain, Munter, Hans Markus, Martinsson, Andreas, Cairns, Benjamin J et al. · 2023 · European Heart Journal
37. Temporal analyses of postnatal liver development and maturation by single-cell transcriptomics
    Liang, Yan, Kaneko, Kota, Xin, Bing, Lee, Jin, Sun, Xin, Zhang, Kun, Feng, Gen-Sheng · 2022 · Developmental Cell
38. A spatial vascular transcriptomic, proteomic, and phosphoproteomic atlas unveils an angiocrine Tie-Wnt signaling axis in the liver
    Inverso, Donato, Shi, Jingjing, Lee, Ki Hong, Jakab, Moritz, Ben-Moshe, Shani, Kulkarni, Shubhada R., Schneider, Martin, Wang, Guanxiong, Komeili, Marziyeh, Vélez, Paula Argos et al. · 2021 · Developmental Cell
39. Toolbox model of evolution of prokaryotic metabolic networks and their regulation
    Maslov, Sergei, Krishna, Sandeep, Pang, Tin Yau, Sneppen, Kim · 2009 · Proceedings of the National Academy of Sciences
40. Large Scale Foundation Model on Single-cell Transcriptomics
    Hao, Minsheng, Gong, Jing, Zeng, Xin, Liu, Chiming, Guo, Yucheng, Cheng, Xingyi, Wang, Taifeng, Ma, Jianzhu, Song, Le, Zhang, Xuegong · 2023
41. Role of the Astroglial Glutamate Exchanger xCT in Ventral Hippocampus in Resilience to Stress
    Nasca, Carla, Bigio, Benedetta, Zelli, Danielle, de Angelis, Paolo, Lau, Timothy, Okamoto, Masahiro, Soya, Hideyo, Ni, Jason, Brichta, Lars, Greengard, Paul et al. · 2017 · Neuron
42. Genetic variability in a frozen batch of MCF-7 cells invisible in routine authentication affecting cell function
    Kleensang, Andre, Vantangoli, Marguerite M., Odwin-DaCosta, Shelly, Andersen, Melvin E., Boekelheide, Kim, Bouhifd, Mounir, Fornace, Albert J., Li, Heng-Hong, Livi, Carolina B., Madnick, Samantha et al. · 2016 · Scientific Reports
43. Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis
    Blaser, Mark C., Kraler, Simon, Lüscher, Thomas F., Aikawa, Elena · 2021 · Circulation Research
44. A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics
    Oftadeh, Omid, Salvy, Pierre, Masid, Maria, Curvat, Maxime, Miskovic, Ljubisa, Hatzimanikatis, Vassily · 2021 · Nature Communications
45. Autoreactive CD8+ T cells are restrained by an exhaustion-like program that is maintained by LAG3
    Grebinoski, Stephanie, Zhang, Qianxia, Cillo, Anthony R., Manne, Sasikanth, Xiao, Hanxi, Brunazzi, Erin A., Tabib, Tracy, Cardello, Carly, Lian, Christine G., Murphy, George F. et al. · 2022 · Nature Immunology
46. Metabolic independence drives gut microbial colonization and resilience in health and disease
    Watson, Andrea R., Füssel, Jessika, Veseli, Iva, DeLongchamp, Johanna Zaal, Silva, Marisela, Trigodet, Florian, Lolans, Karen, Shaiber, Alon, Fogarty, Emily, Runde, Joseph M. et al. · 2023 · Genome Biology
47. Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging
    Lehallier, Benoit, Shokhirev, Maxim N., Wyss‐Coray, Tony, Johnson, Adiv A. · 2020 · Aging Cell
48. Imaging transcriptomics of brain disorders
    Arnatkeviciute, Aurina, Fulcher, Ben D., Bellgrove, Mark A., Fornito, Alex · 2022 · Biological Psychiatry Global Open Science
49. Fetal lung and placental methylation is associated with in utero nicotine exposure
    Chhabra, Divya, Sharma, Sunita, Kho, Alvin T, Gaedigk, Roger, Vyhlidal, Carrie A, Leeder, J Steven, Morrow, Jarrett, Carey, Vincent J, Weiss, Scott T, Tantisira, Kelan G et al. · 2014 · Epigenetics
50. Multiomics of Tissue Extracellular Vesicles Identifies Unique Modulators of Atherosclerosis and Calcific Aortic Valve Stenosis
    Blaser, Mark C., Buffolo, Fabrizio, Halu, Arda, Turner, Mandy E., Schlotter, Florian, Higashi, Hideyuki, Pantano, Lorena, Clift, Cassandra L., Saddic, Louis A., Atkins, Samantha K. et al. · 2023 · Circulation
51. Neuronal Apolipoprotein E4 Expression Results in Proteome-Wide Alterations and Compromises Bioenergetic Capacity by Disrupting Mitochondrial Function
    Orr, Adam L., Kim, Chaeyoung, Jimenez-Morales, David, Newton, Billy W., Johnson, Jeffrey R., Krogan, Nevan J., Swaney, Danielle L., Mahley, Robert W. · 2019 · Journal of Alzheimer's Disease
52. The Importance of the Biological Impact of Exposure to the Concept of the Exposome
    Dennis, Kristine K., Auerbach, Scott S., Balshaw, David M., Cui, Yuxia, Fallin, Margaret Daniele, Smith, Martyn T., Spira, Avrum, Sumner, Susan, Miller, Gary W. · 2016 · Environmental Health Perspectives
53. Gut bacterial composition in a mouse model of Parkinson’s disease
    Perez-Pardo, P., Dodiya, H.B., Engen, P.A., Naqib, A., Forsyth, C.B., Green, S.J., Garssen, J., Keshavarzian, A., Kraneveld, A.D. · 2018 · Beneficial Microbes
54. GAM: a web-service for integrated transcriptional and metabolic network analysis
    Sergushichev, Alexey A., Loboda, Alexander A., Jha, Abhishek K., Vincent, Emma E., Driggers, Edward M., Jones, Russell G., Pearce, Edward J., Artyomov, Maxim N. · 2016 · Nucleic Acids Research
55. Gradient boosting decision tree-based method for predicting interactions between target genes and drugs
    Xuan, Ping, Sun, Chang, Zhang, Tiangang, Ye, Yilin, Shen, Tonghui, Dong, Yihua · 2019 · Frontiers in Genetics
56. Genomic responses to selection for tame/aggressive behaviors in the silver fox ( <i>Vulpes vulpes</i> )
    Wang, Xu, Pipes, Lenore, Trut, Lyudmila N., Herbeck, Yury, Vladimirova, Anastasiya V., Gulevich, Rimma G., Kharlamova, Anastasiya V., Johnson, Jennifer L., Acland, Gregory M., Kukekova, Anna V. et al. · 2018 · Proceedings of the National Academy of Sciences
57. Evaluation of large language models for discovery of gene set function
    Hu, Mengzhou, Alkhairy, Sahar, Lee, Ingoo, Pillich, Rudolf T., Fong, Dylan, Smith, Kevin, Bachelder, Robin, Ideker, Trey, Pratt, Dexter · 2025 · Nature Methods
58. Testing for ancient selection using cross-population allele frequency differentiation
    Racimo, Fernando · 2016 · Genetics
59. PP2A-B′ holoenzyme substrate recognition, regulation and role in cytokinesis
    Wu, Cheng-Guo, Chen, Hui, Guo, Feng, Yadav, Vikash K, Mcilwain, Sean J, Rowse, Michael, Choudhary, Alka, Lin, Ziqing, Li, Yitong, Gu, Tingjia et al. · 2017 · Cell Discovery
60. Translational research platforms integrating clinical and omics data: a review of publicly available solutions
    Canuel, V., Rance, B., Avillach, P., Degoulet, P., Burgun, A. · 2015 · Briefings in Bioinformatics
61. Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
    Ma, Ying, Sun, Shiquan, Shang, Xuequn, Keller, Evan T., Chen, Mengjie, Zhou, Xiang · 2020 · Nature Communications
62. A meta-learning approach for genomic survival analysis
    Qiu, Yeping Lina, Zheng, Hong, Devos, Arnout, Selby, Heather, Gevaert, Olivier · 2020 · Nature Communications
63. IMG/PR: a database of plasmids from genomes and metagenomes with rich annotations and metadata
    Camargo, Antonio Pedro, Call, Lee, Roux, Simon, Nayfach, Stephen, Huntemann, Marcel, Palaniappan, Krishnaveni, Ratner, Anna, Chu, Ken, Mukherjeep, Supratim, Reddy, T B K et al. · 2024 · Nucleic Acids Research
64. Dissecting the energy metabolism in Mycoplasma pneumoniae through genome-scale metabolic modeling
    Wodke, Judith A H, Puchałka, Jacek, Lluch‐Senar, Maria, Marcos, Josep, Yus, Eva, Godinho, Miguel, Gutiérrez‐Gallego, Ricardo, dos Santos, Vitor A P Martins, Serrano, Luis, Klipp, Edda et al. · 2013 · Molecular Systems Biology
65. Prenatal metformin exposure in mice programs the metabolic phenotype of the offspring during a high fat diet at adulthood
    Salomäki, Henriikka, Vähätalo, Laura H., Laurila, Kirsti, Jäppinen, Norma T., Penttinen, Anna-Maija, Ailanen, Liisa, Ilyasizadeh, Juan, Pesonen, Ullamari, Koulu, Markku · 2013 · PLoS ONE
66. Extensive accumulation of misfolded protein aggregates during natural aging and senescence
    Cuanalo-Contreras, Karina, Schulz, Jonathan, Mukherjee, Abhisek, Park, Kyung-Won, Armijo, Enrique, Soto, Claudio · 2023 · Frontiers in Aging Neuroscience
67. Metabolomics of Childhood Exposure to Perfluoroalkyl Substances: A Cross-Sectional Study
    Kingsley, Samantha L., Walker, Douglas I., Calafat, Antonia M., Chen, Aimin, Papandonatos, George D., Xu, Yingying, Jones, Dean P., Lanphear, Bruce P., Pennell, Kurt D., Braun, Joseph M. · 2019 · Metabolomics
68. Exercise-induced microbiota metabolite enhances CD8 T cell antitumor immunity promoting immunotherapy efficacy
    Phelps, Catherine M., Willis, Nathaniel B., Duan, Tingting, Lee, Amanda H., Zhang, Yue, Rodriguez J, Daphne M., Pandey, Surya P., Laughlin, Colin R., Rosen, Aaron B.I., McPherson, Alex C. et al. · 2025 · Cell
69. Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model
    Wang, Hong, Li, Yupeng, Ryder, John W., Hole, Justin T., Ebert, Philip J., Airey, David C., Qian, Hui-Rong, Logsdon, Benjamin, Fisher, Alice, Ahmed, Zeshan et al. · 2018 · Molecular Neurodegeneration
70. Fermentation Conditions that Affect Clavulanic Acid Production in Streptomyces clavuligerus: A Systematic Review
    Ser, Hooi-Leng, Law, Jodi Woan-Fei, Chaiyakunapruk, Nathorn, Jacob, Sabrina Anne, Palanisamy, Uma Devi, Chan, Kok-Gan, Goh, Bey-Hing, Lee, Learn-Han · 2016 · Frontiers in Microbiology
71. Taxa-function robustness in microbial communities
    Eng, Alexander, Borenstein, Elhanan · 2018 · Microbiome
72. Altered miRNA expression network in locus coeruleus of depressed suicide subjects
    Roy, Bhaskar, Wang, Qingzhong, Palkovits, Miklos, Faludi, Gabor, Dwivedi, Yogesh · 2017 · Scientific Reports
73. Molecular Profiles of Pyramidal Neurons in the Superior Temporal Cortex in Schizophrenia
    Pietersen, Charmaine Y., Mauney, Sarah A., Kim, Susie S., Lim, Maribel P., Rooney, Robert J., Goldstein, Jill M., Petryshen, Tracey L., Seidman, Larry J., Shenton, Martha E., McCarley, Robert W. et al. · 2014 · Journal of Neurogenetics
74. Meta-Analysis of Parkinson’s Disease and Alzheimer’s Disease Revealed Commonly Impaired Pathways and Dysregulation of NRF2-Dependent Genes
    Wang, Qian, Li, Wen-Xing, Dai, Shao-Xing, Guo, Yi-Cheng, Han, Fei-Fei, Zheng, Jun-Juan, Li, Gong-Hua, Huang, Jing-Fei · 2017 · Journal of Alzheimer s Disease
75. Critical assessment of genome-scale metabolic networks: the need for a unified standard
    Ravikrishnan, A., Raman, K. · 2015 · Briefings in Bioinformatics
76. Comprehensive Analysis Revealed that CDKN2A is a Biomarker for Immune Infiltrates in Multiple Cancers
    Chen, Zheng, Guo, Yingjie, Zhao, Da, Zou, Quan, Yu, Fusheng, Zhang, Lijun, Xu, Lei · 2021 · Frontiers in Cell and Developmental Biology
77. Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome
    Thévenin, Annelyse, Ein-Dor, Liat, Ozery-Flato, Michal, Shamir, Ron · 2014 · Nucleic Acids Research
78. Outer Membrane Vesicle‐Based Nanohybrids Target Tumor‐Associated Macrophages to Enhance Trained Immunity‐Related Vaccine‐Generated Antitumor Activity
    Liang, Jie, Zhu, Fei, Cheng, Keman, Ma, Nana, Ma, Xiaotu, Feng, Qingqing, Xu, Chen, Gao, Xiaoyu, Wang, Xinwei, Shi, Jian et al. · 2023 · Advanced Materials
79. Metabolic framework of spontaneous and synthetic sourdough metacommunities to reveal microbial players responsible for resilience and performance
    Calabrese, Francesco Maria, Ameur, Hana, Nikoloudaki, Olga, Celano, Giuseppe, Vacca, Mirco, Junior, Wilson JFLemos, Manzari, Caterina, Vertè, Fabienne, Di Cagno, Raffaella, Pesole, Graziano et al. · 2022 · Microbiome
80. Mapping posttranscriptional regulation of the human glycome uncovers microRNA defining the glycocode
    Agrawal, Praveen, Kurcon, Tomasz, Pilobello, Kanoelani T., Rakus, John F., Koppolu, Sujeethraj, Liu, Zhongyin, Batista, Bianca S., Eng, William S., Hsu, Ku-Lung, Liang, Yaxuan et al. · 2014 · Proceedings of the National Academy of Sciences
81. Blood‐based gene‐expression predictors of PTSD risk and resilience among deployed marines: A pilot study
    Glatt, Stephen J., Tylee, Daniel S., Chandler, Sharon D., Pazol, Joel, Nievergelt, Caroline M., Woelk, Christopher H., Baker, Dewleen G., Lohr, James B., Kremen, William S., Litz, Brett T. et al. · 2013 · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
82. Cancer cells depend on environmental lipids for proliferation when electron acceptors are limited
    Li, Zhaoqi, Ji, Brian W., Dixit, Purushottam D., Tchourine, Konstantine, Lien, Evan C., Hosios, Aaron M., Abbott, Keene L., Rutter, Justine C., Westermark, Anna M., Gorodetsky, Elizabeth F. et al. · 2022 · Nature Metabolism
83. Proteomic characterization of gastric cancer response to chemotherapy and targeted therapy reveals potential therapeutic strategies
    Li, Yan, Xu, Chen, Wang, Bing, Xu, Fujiang, Ma, Fahan, Qu, Yuanyuan, Jiang, Dongxian, Li, Kai, Feng, Jinwen, Tian, Sha et al. · 2022 · Nature Communications
84. Microbiota-Derived Short-Chain Fatty Acids Promote LAMTOR2-Mediated Immune Responses in Macrophages
    Wu, Ting, Li, Hongru, Su, Cong, Xu, Fangming, Yang, Guangwei, Sun, Kaili, Xu, Mengran, Lv, Na, Meng, Bao, Liu, Yanyan et al. · 2020 · mSystems
85. De novo mutations from whole exome sequencing in neurodevelopmental and psychiatric disorders: From discovery to application
    Wang, Weidi, Corominas, Roser, Lin, Guan Ning · 2019 · Frontiers in Genetics
86. Mechanistic Target of Rapamycin Complex 1 Promotes the Expression of Genes Encoding Electron Transport Chain Proteins and Stimulates Oxidative Phosphorylation in Primary Human Trophoblast Cells by Regulating Mitochondrial Biogenesis
    Rosario, Fredrick J., Gupta, Madhulika B., Myatt, Leslie, Powell, Theresa L., Glenn, Jeremy P., Cox, Laura, Jansson, Thomas · 2019 · Scientific Reports
87. Coordinate changes in histone modifications, mRNA levels, and metabolite profiles in clonal INS-1 832/13 β-cells accompany functional adaptations to lipotoxicity
    Malmgren, Siri, Spégel, Peter, Danielsson, Anders P.H., Nagorny, Cecilia L., Andersson, Lotta E., Nitert, Marloes Dekker, Ridderstråle, Martin, Mulder, Hindrik, Ling, Charlotte · 2013 · Journal of Biological Chemistry
88. Metabolic switching of human myotubes is improved by n-3 fatty acids
    Hessvik, N.P., Bakke, S.S., Fredriksson, K., Boekschoten, M.V., Fj⊘rkenstad, A., Koster, G., Hesselink, M.K., Kersten, S., Kase, E.T., Rustan, A.C. et al. · 2010 · Journal of Lipid Research
89. Parallel social information processing circuits are differentially impacted in autism
    Lewis, Eastman M., Stein-O’Brien, Genevieve L., Patino, Alejandra V., Nardou, Romain, Grossman, Cooper D., Brown, Matthew, Bangamwabo, Bidii, Ndiaye, Ndeye, Giovinazzo, Daniel, Dardani, Ian et al. · 2020 · Neuron
90. Pathway-Guided Deep Neural Network toward Interpretable and Predictive Modeling of Drug Sensitivity
    Deng, Lei, Cai, Yideng, Zhang, Wenhao, Yang, Wenyi, Gao, Bo, Liu, Hui · 2020 · Journal of Chemical Information and Modeling
91. Tet2 deficiency drives liver microbiome dysbiosis triggering Tc1 cell autoimmune hepatitis
    Pandey, Surya P., Bender, Mackenzie J., McPherson, Alex C., Phelps, Catherine M., Sanchez, Luzmariel Medina, Rana, Mohit, Hedden, Lee, Sangani, Kishan A., Chen, Li, Shapira, Jake H. et al. · 2022 · Cell Host &amp; Microbe
92. FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data
    DeTomaso, David, Yosef, Nir · 2016 · BMC Bioinformatics
93. An Untargeted Metabolomics Approach to Characterize Short-Term and Long-Term Metabolic Changes after Bariatric Surgery
    Narath, Sophie H., Mautner, Selma I., Svehlikova, Eva, Schultes, Bernd, Pieber, Thomas R., Sinner, Frank M., Gander, Edgar, Libiseller, Gunnar, Schimek, Michael G., Sourij, Harald et al. · 2016 · PLOS ONE
94. A strategy for multimodal data integration: application to biomarkers identification in spinocerebellar ataxia
    Garali, Imene, Adanyeguh, Isaac M, Ichou, Farid, Perlbarg, Vincent, Seyer, Alexandre, Colsch, Benoit, Moszer, Ivan, Guillemot, Vincent, Durr, Alexandra, Mochel, Fanny et al. · 2018 · Briefings in Bioinformatics
95. Non-Invasive Tumor Genotyping Using Radiogenomic Biomarkers, a Systematic Review and Oncology-Wide Pathway Analysis
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