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DriverDBv4:ã multi-omics integration database for cancer driv er g ene resear c h

Nucleic Acids Research 2024年第D1期52卷 D1246-D1252页

作者： Liu, Chia-Hsin Lai, Yo-Liang Shen, Pei-Chun Liu, Hsiu-Cheng Tsai, Meng-Hsin Wang, Yu-De Lin, Wen-Jen Chen, Fang-Hsin Li, Chia-Yang Wang, Shu-Chi Hung, Mien-Chie Cheng, Wei-Chung Cancer Biologyãnd Precision Therapeutics Center China Medical University Taichung 404328 Taiwan Department of Radiation Oncology China Medical University Taichung 404328 Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung 404328 Taiwan Department of Urology China Medical University Taichung 404328 Taiwan School of Medicine China Medical University Taichung 404328 Taiwan Institute of Nuclear Engineeringãnd Science National Tsing Hua University Hsinchu 300044 Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan Department of Medical Laboratory Scienceãnd Biotechnology Kaohsiung Medical University Kaohsiung 80708 Taiwan Institute of Biochemistryãnd Molecular Biology China Medical University Taichung 404328 Taiwan Molecular Medicine Center China Medical University Hospital China Medical University Taichung 404328 Taiwan Department of Biotechnology Asia University Taichung 413305 Taiwan The Ph.D. program for Cancer Biologyãnd Drug Discovery China Medical Universityãnd Academia Sinica Taichung 404328 Taiwan

A dvãncements in high-throughput technology offer researchersãn e xtensiv e range of multi-omics data that provide deep insights into the complex landscape of cancer biology . However , traditional statistical modelsãnd databasesãre inadequate to interpret these high-dimensional data withinã multi-omics frame w ork. Toãddress this limitation, we introduce DriverDBv4,ãn updated iteration of the DriverDB cancer driver gene database ( http://driv *** ***/). T his updated v ersion offers se v eral significant enhancements: (i)ãn increase in the number of cohorts from 33 to 70, encompassingãpproximately 24 0 0 0 samples;(ii) inclusion of proteomics data,ãugmenting the existing types of omics dataãnd thus expanding theãnalytical scope;(iii) implementation of multiple multi-omicsãlgorithms for identification of cancer drivers;(iv) new visualization features designed to succinctly summarize high-context dataãnd redesigned existing sections toãccommodate the increased volume of datasetsãnd (v) two new functions in Customized Analysis, specifically designed for multi-omics driver identificationãnd subgroup e xpressionãnaly sis. Driv erDBv4 fãcilitates comprehensiv e interpretãtion of multi-omics datããcross diverse cancer types, thereby enriching the understanding of cancer heterogeneityãndãiding in the de v elopment of personalized clinicalãpproaches. The database is designed to fosterã more nuanced understanding of the multi-faceted nature of cancer. © The Author(s) 2023.

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Author Correction: A recellularized human colon model identifies cancer driver genes

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Nature biotechnology 2019年第7期37卷 820页

作者： Huanhuan Joyce Chen Zhubo Wei Jian Sun Asmita Bhattacharya David J Savage Rita Serda Yuri Mackeyev Steven A Curley Pengcheng Bu Lihua Wang Shuibing Chen Leona Cohen-Gould Emina Huang Xiling Shen Steven M Lipkin Neal G Copeland Nancy A Jenkins Michael L Shuler Department of Biomedical Engineering Cornell University Ithaca New York USA. Cancer Research Program Houston Methodist Research Institute Houston Texas USA. Department of Medicine Weill Cornell Medical College New York New York USA. Department of Genetic Medicine Weill Cornell Medical College New York New York USA. Genetics Genomics and Development Cornell University Ithaca New York USA. University of Texas Medical School at Houston Houston Texas USA. Department of Chemistry Rice University Houston Texas USA. Department of Surgery Baylor College of Medicine Houston Texas USA. Department of Biological and Environmental Engineering Cornell University Ithaca New York USA. Chemical Biology in Surgery Weill Cornell Medical College New York New York USA. Department of Biochemistry Weill Cornell Medical College New York New York USA. Department of Stem Cell Biology and Regenerative Medicine Cleveland Clinic Cleveland Ohio USA. Department of Colorectal Surgery Cleveland Clinic Cleveland Ohio USA. Cancer Research Program Houston Methodist Research Institute Houston Texas USA. njenkins2@***. Department of Biomedical Engineering Cornell University Ithaca New York USA. mls50@cornell.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Real world fracture prediction of fracture risk assessment tool (FRAX), osteoporosis self-assessment tool for Asians (OSTA) and one-minute osteoporosis risk test: An 11-year longitudinal study

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Bone Reports 2024年 20卷 101742页

作者： Sheng, Yueh-Hsuan Wu, Tai-Yin Liaw, Chen-Kun Hsiao, Sheng-Huang Kuo, Kuan-Liang Tsai, Ching-Yao Department of Family Medicine Taipei City Hospital Renai Branch No. 10 Sec. 4 Renai Rd. Daan Dist. Taipei City Taiwan Department of Family Medicine Taipei City Hospital Zhongxing Branch No. 145 Zhengzhou Rd. Datong Dist. Taipei City Taiwan Institute of Epidemiology and Preventive Medicine National Taiwan University No. 17 Xuzhou Rd. Zhongzheng Dist. Taipei City Taiwan Department of Health and Welfare University of Taipei No. 101 Sec. 2 Zhongcheng Rd. Shilin Dist Taipei City Taiwan Department of Orthopedics School of Medicine College of Medicine Taipei Medical University No. 250 Wuxing St. Xinyi Dist. Taipei City Taiwan Department of Orthopedics Shuang Ho Hospital Taipei Medical University No. 291 Zhongzheng Rd. Zhonghe Dist. New Taipei City Taiwan Research Center of Biomedical Device College of Biomedical Engineering Graduate Institute of Biomedical Optomechatronics Taipei Medical University No. 250 Wuxing St. Xinyi Dist. Taipei City Taiwan TMU Biodesign Center Taipei Medical University No. 250 Wuxing St. Xinyi Dist. Taipei City Taiwan Department of Neurosurgery Taipei City Hospital Renai Branch No. 10 Sec. 4 Ren'ai Rd. Da'an Dist. Taipei City Taiwan Department of Psychology National Chengchi University No. 64 Sec. 2 Zhinan Rd. Wenshan Dist. Taipei City Taiwan Institute of Biomedical Informatics National Yang Ming Chiao Tung University No. 155 Sec. 2 Linong St. Beitou Dist. Taipei City Taiwan The Bachelor's Program in Medical Informatics and Innovative Applications Fu Jen University No. 510 Zhongzheng Rd. Xinzhuang Dist. New Taipei City Taiwan Department of Ophthalmology Taipei City Hospital No. 145 Zhengzhou Rd. Datong Dist. Taipei City Taiwan Institute of Public Health National Yang Ming Chiao Tung University No. 155 Sec. 2 Linong St. Beitou Dist. Taipei City Taiwan Department of Business Administration Fu Jen Catholic University No. 510 Zhongzheng Rd. Xinzhuang Dist. New Taipei City Taiwan

Introduction: Fractures affect people's quality of life especially in the elders. One of the most important risk factors is osteoporosis. There are many screening tools to predict osteoporosis and fractures. We aimed to compare the predictive validity of three commonly used screening tools: fracture risk assessment tool (FRAX), osteoporosis self-assessment tool for Asians (OSTA) and one-minute osteoporosis risk test. Among them, OSTA and one-minute osteoporosis risk test were originally developed to predict osteoporosis risks and FRAX was to predict fracture risks. Methods: This is an 11-year longitudinal study. We enrolled 708 senior people from health examinees in Taiwan in 2010. A standardized questionnaire and blood tests were provided. Annual telephone interview was conducted to assess the real fracture status. We calculated risk scores of FRAX, OSTA, and one-minute osteoporosis risk test and compared with real-world fracture records. Results: The mean age of the participants were 74.9 (SD 6.4). There were 356 (50.3 %) men. From 2010 to 2020, a total of 105 (14.8 %) persons suffered from fractures. Compared to people without fractures, people with fractures had higher FRAX major osteoporotic fracture risk scores (14.0 % ± 7.6 % vs.11.3 % ± 5.7 %), higher hip fracture risk scores, and higher OSTA risk (5.9 % ± 1.4 % vs. 5.3 % ± 1.3 %). Cox regression analysis showed that hazard ratios for fracture of high FRAX risk was 1.53 (95 % confidence interval (CI) 1.05–2.21), and for high OSTA risk was 1.37 (95 % CI 1.04–1.82). Conclusions: Only OSTA and FRAX scores were satisfactory in predicting 10-year fractures. © 2024

关键词： Fracture risk assessment tool (FRAX) Fractures One-minute osteoporosis risk test Osteoporosis self-assessment tool for Asians (OSTA)

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Preventing bad behavior in academia

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四川生理科学杂志 2024年第7期46卷 1615-1615页

作者： Rayane da Cruz Albino Faculty of Pharmacy Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil. Department of Host-Microbe Interactions St. Jude Children’s Research Hospital Memphis TN USA. School of the Environment The University of Queensland Whiterock QLD Australia. KU Leuven Ghent Belgium. Laboratory for Computational Social Systems Indraprastha Institute of Information Technology Delhi New Delhi India. University Medical College Shantou Guangdong China. Department of Ecoscience Aarhus Universitet Aarhus Denmark. Institute of Environment and Sustainable Development Banaras Hindu University Varanasi Uttar Pradesh India. Department of Medical Parasitology Faculty of Medicine and Health Sciences Sana’a University Sana’a Yemen and Tropical Disease Research Center Faculty of Medicine and Health Sciences University of Science and Technology Sana’a Yemen. Department of Medicine University of Montreal Montreal QC Canada. Electricity Infrastructure and Buildings Division Pacific Northwest National Laboratory Portland OR USA. Department of Biological Sciences University of New Brunswick Saint John Saint John NB Canada. Department of Biomedical Engineering The University of Melbourne Melbourne VIC Australia. Vagelos Molecular Life Sciences Program University of Pennsylvania Philadelphia PA USA. Doctoral Program in Neurobiology and Behavior Columbia University New York NY USA. Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York NY USA. Department of Engineering University of Cambridge Cambridge Cambridgeshire UK. Department of Geography Liverpool John Moores University Liverpool UK. Department of Biology Stanford University Stanford CA USA. Department of Psychology University of Nicosia Nicosia Cyprus. Department of Global Ecology Carnegie Institution for Science Stanford CA USA. Research and Support Division Stellenbosch University Cape Town South Africa.

We gave young scientists this prompt:Describe one change to scientific policy or culture that would substantially decrease incidents of scientific misconduct or other unethical behavior.

关键词： behavior. prompt culture

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Whole-genome and Transcriptome Sequencing of Prostate Cancer Identify New Genetic Alterations Driving Disease Progression

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European urology 2018年第3期73卷 322-339页

作者： Shancheng Ren Gong-Hong Wei Dongbing Liu Liguo Wang Yong Hou Shida Zhu Lihua Peng Qin Zhang Yanbing Cheng Hong Su Xiuqing Zhou Jibin Zhang Fuqiang Li Hancheng Zheng Zhikun Zhao Changjun Yin Zengquan He Xin Gao Haiyen E Zhau Chia-Yi Chu Jason Boyang Wu Colin Collins Stanislav V Volik Robert Bell Jiaoti Huang Kui Wu Danfeng Xu Dingwei Ye Yongwei Yu Lianhui Zhu Meng Qiao Hang-Mao Lee Yuehong Yang Yasheng Zhu Xiaolei Shi Rui Chen Yang Wang Weidong Xu Yanqiong Cheng Chuanliang Xu Xu Gao Tie Zhou Bo Yang Jianguo Hou Li Liu Zhensheng Zhang Yao Zhu Chao Qin Pengfei Shao Jun Pang Leland W K Chung Jianfeng Xu Chin-Lee Wu Weide Zhong Xun Xu Yingrui Li Xiuqing Zhang Jian Wang Huanming Yang Jun Wang Haojie Huang Yinghao Sun Department of Urology Shanghai Changhai Hospital Second Military Medical University Shanghai China. Biocenter Oulu Faculty of Biochemistry and Molecular Medicine University of Oulu Oulu Finland. BGI-Shenzhen Shenzhen China China National GeneBank-Shenzhen BGI-Shenzhen Shenzhen China. Division of Biomedical Statistics and Informatics Mayo Clinic College of Medicine Rochester MN USA. China National GeneBank-Shenzhen BGI-Shenzhen Shenzhen China State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China. Division of Genomics and Bioinformatics CUHK-BGI Innovation Institute of Trans-Omics The Chinese University of Hong Kong Hong Kong China. BGI Education Center University of Chinese Academy of Sciences Shenzhen China. BGI-Shenzhen Shenzhen China. School of Biological Science and Medical Engineering Southeast University Nanjing China State Key Laboratory of Bioelectronics Southeast University Nanjing China. Department of Urology The First Affiliated Hospital of Nanjing Medical University Nanjing China. Department of Urology The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou China. Uro-Oncology Research Program Department of Medicine Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center Los Angeles CA USA. Vancouver Prostate Centre and Department of Urologic Sciences University of British Columbia Vancouver BC Canada. Department of Pathology and Laboratory Medicine David Geffen School of Medicine University of California Los Angeles CA USA. Department of Urology Changzheng Hospital Second Military Medical University Shanghai China. Department of Urology Fudan University Shanghai Cancer Center Shanghai China. Department of Pathology Shanghai Changhai Hospital Second Military Medical University Shanghai China. State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China Program for Personalized Cancer Care NorthShore University HealthS

BACKGROUND:Global disparities in prostate cancer (PCa) incidence highlight the urgent need to identify genomic abnormalities in prostate tumors in different ethnic populations including Asian men. OBJECTIVE:To systematically explore the genomic complexity and define disease-driven genetic alterations in PCa. DESIGN, SETTING, AND PARTICIPANTS:The study sequenced whole-genome and transcriptome of tumor-benign paired tissues from 65 treatment-naive Chinese PCa patients. Subsequent targeted deep sequencing of 293 PCa-relevant genes was performed in another cohort of 145 prostate tumors. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS:The genomic alteration landscape in PCa was analyzed using an integrated computational pipeline. Relationships with PCa progression and survival were analyzed using nonparametric test, log-rank, and multivariable Cox regression analyses. RESULTS AND LIMITATIONS:We demonstrated an association of high frequency of CHD1 deletion with a low rate of TMPRSS2-ERG fusion and relatively high percentage of mutations in androgen receptor upstream activator genes in Chinese patients. We identified five putative clustered deleted tumor suppressor genes and provided experimental and clinical evidence that PCDH9, deleted/loss in approximately 23% of tumors, functions as a novel tumor suppressor gene with prognostic potential in PCa. Furthermore, axon guidance pathway genes were frequently deregulated, including gain/amplification of PLXNA1 gene in approximately 17% of tumors. Functional and clinical data analyses showed that increased expression of PLXNA1 promoted prostate tumor growth and independently predicted prostate tumor biochemical recurrence, metastasis, and poor survival in multi-institutional cohorts of patients with PCa. A limitation of this study is that other genetic alterations were not experimentally investigated. CONCLUSIONS:There are shared and salient genetic characteristics of PCa in Chinese and Caucasian men. Novel genetic alterations i

关键词： AR coactivator mutation Axon guidance pathway CHD1 deletion Chinese prostate cancer Clustered deleted tumor suppressor genes Personalized medicine Prognosis RNA-seq TMPRSS2-ERG fusion Whole genome sequencing

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Fano Resonances: Tunable Fano Resonance and Plasmon–Exciton Coupling in Single Au Nanotriangles on Monolayer WS2at Room Temperature (Adv. Mater. 22/2018)

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Advanced Materials 2018年第22期30卷

作者： Mingsong Wang Alex Krasnok Tianyi Zhang Leonardo Scarabelli He Liu Zilong Wu Luis M. Liz‐Marzán Mauricio Terrones Andrea Alù Yuebing Zheng Department of Mechanical Engineering Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 USA Department of Materials Science and Engineering The Pennsylvania State University University Park PA 16802 USA Bionanoplasmonics Laboratory CIC biomaGUNE Paseo de Miramón 182 20014 Donostia‐San Sebastián Spain Department of Chemistry and Biochemistry California NanoSystems Institute University of California Los Angeles Los Angeles CA 90095 USA Department of Chemistry The Pennsylvania State University University Park PA 16802 USA Ikerbasque Basque Foundation for Science 48013 Bilbao Spain Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine CIBER‐BBN 20014 Donostia‐San Sebastián Spain Department of Physics and Center for 2‐Dimensional and Layered Materials The Pennsylvania State University University Park PA 16802 USA Department of Materials Science and Engineering & Chemical Engineering Carlos III University of Madrid Avenida Universidad 30 28911 Leganés Madrid Spain IMDEA Materials Institute Eric Kandel 2 Getafe Madrid 28005 Spain

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Transcriptomic analysis of circulating extracellular vesicles during the perioperative period of Fontan and Glenn surgery

npj Cardiovascular Health

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npj Cardiovascular Health 2024年第1期1卷 1-12页

作者： Felipe Takaesu Evan Yang Michael E. Davis Khalid Yasseen Hyun-Ji Park John M. Kelly Christopher K. Breuer Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology & Emory University Atlanta GA USA Biochemistry Cell and Developmental Biology Graduate Training Program Graduate Division of Biological and Biomedical Sciences Laney Graduate School Emory University Atlanta GA USA Children’s Heart Research & Outcomes (HeRO) Center Children’s Healthcare of Atlanta & Emory University Atlanta GA USA Frank H. Netter School of Medicine Quinnipiac University North Haven CT USA Department of Molecular Science and Technology Ajou University Suwon 16499 Korea Center for Regenerative Medicine Abigail Wexner Research Institute at Nationwide Children’s Hospital Columbus OH USA The Heart Center Nationwide Children’s Hospital Columbus OH USA Department of Pediatrics The Ohio State University College of Medicine Columbus OH USA

Single-ventricle defects are treated with the Glenn and Fontan procedures, which offer lifesaving relief but result in lifelong complications. To address the lack of outcome predictors, we conducted an untargeted transcriptomic analysis to identify RNA biomarkers in serum and circulating sEVs from 25 Glenn or Fontan patients with three samples exclusively used for experimental assays. Unsupervised analysis revealed a distinction between pre-op and post-op samples in both surgical groups. Differential gene expression and pathway analysis showed enrichment for pro-angiogenic cargo in post-op sEVs compared to pre-op sEVs. Wound healing assays revealed post-op Fontan sEVs induce a stronger pro-angiogenic response than pre-op Fontan sEVs. A PLSR-guided approach revealed MAPK6, GLE1, hsa-miR-340-5p, and hsa-miR-199b-5p as key transcripts in the observed wound healing response. Lastly, EV-Origin revealed decreased secretion of sEV from cardiac tissue and increased secretion from brain tissue for both Fontan and Glenn samples. This work demonstrates the potential of sEV RNAs as biomarkers for patients with Fontan physiology, enabling quicker diagnosis for Fontan-associated complications.

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Publisher Correction: Early-onset colorectal cancer: initial clues and current views

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Nature reviews. Gastroenterology & hepatology 2020年第8期17卷 517页

作者： Lorne J Hofseth James R Hebert Anindya Chanda Hexin Chen Bryan L Love Maria M Pena E Angela Murphy Mathew Sajish Amit Sheth Phillip J Buckhaults Franklin G Berger Center for Colon Cancer Research University of South Carolina Columbia SC USA. hofseth@cop.sc.edu. Cancer Prevention and Control Program University of South Carolina Columbia SC USA. hofseth@cop.sc.edu. Department of Drug Discovery and Biomedical Sciences College of Pharmacy University of South Carolina Columbia SC USA. hofseth@cop.sc.edu. Center for Colon Cancer Research University of South Carolina Columbia SC USA. Cancer Prevention and Control Program University of South Carolina Columbia SC USA. Department of Epidemiology & Biostatistics University of South Carolina Columbia SC USA. Department of Environmental Health Sciences Arnold School of Public Health University of South Carolina Columbia SC USA. Department of Biology College of Arts and Sciences University of South Carolina Columbia SC USA. Department of Clinical Pharmacy and Outcomes Sciences College of Pharmacy University of South Carolina Columbia SC USA. Department of Pathology Microbiology & Immunology School of Medicine University of South Carolina Columbia SC USA. Department of Drug Discovery and Biomedical Sciences College of Pharmacy University of South Carolina Columbia SC USA. Department of Computer Science and Engineering College of Engineering University of South Carolina Columbia SC USA.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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A LRET Nanoplatform Consisting of Lanthanide and Amorphous Manganese Oxide for NIR-II Luminescence Lifetime Imaging of Tumor Redox Status

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Angewandte Chemie 2022年第47期134卷

作者： Dr. Mengyao Zhao Dr. Hongjun Zhuang Dr. Hongxin Zhang Dr. Benhao Li Jiang Ming Prof. Xiaoyuan Chen Prof. Meiwan Chen State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences University of Macau Macau 999078 China Departments of Diagnostic Radiology Surgery Chemical and Biomolecular Engineering and Biomedical Engineering Yong Loo Lin School of Medicine and Faculty of Engineering National University of Singapore Singapore 119074 Singapore Contribution: Conceptualization (lead) Investigation (lead) Writing - original draft (lead) Department of Chemistry State Key Laboratory of Molecular Engineering of Polymers and iChem Shanghai Key Laboratory of Molecular Catalysis and Innovative Material Fudan University Shanghai 200433 China Contribution: Investigation (supporting) Nanomedicine Translational Research Program NUS Center for Nanomedicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117597 Singapore Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore Institute of Molecular and Cell Biology Agency for Science Technology and Research (A*STAR) Singapore 138673 Singapore Contribution: Funding acquisition (lead) Supervision (lead)

Designing luminescence lifetime sensors in the second near-infrared (NIR-II) window is a great challenge due to the difficult structural construction. Here, we report a tumor redox responsive and easily synthesized material, amorphous manganese oxide (MnO x ) with indirect band gap of 1.02 eV, as an energy acceptor to build a luminescence resonance energy transfer (LRET) toolbox for universally regulating NIR-I to NIR-II luminescence lifetimes of lanthanide nanoparticles, in which energy transfer is based on matched energy gap instead of conventional overlapped spectra. We further utilize ytterbium (Yb 3+ )-doped YbNP@MnO x as an NIR-II luminescence lifetime sensor to realize in vitro quantitative redox visualization with relative errors under 5 % in samples covered with mouse skin. Furthermore, HepG2 cells and tumors with high redox state have been accurately distinguished by NIR-II luminescence lifetime imaging. The quantified intracellular and intratumor glutathione (GSH) levels are highly consistent with the commercial kit results, illustrating the reliable redox visualization ability in biological tissue.

关键词： Amorphous Manganese Oxide Lanthanide Luminescence Lifetime Imaging NIR-II LRET Quantitative Redox Visualization

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Reproducible brain-wide association studies require thousands of individuals (Mar, 10.1038/s41586-022-04492-9, 2022)

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NATURE 2022年第7911期605卷 E11-E11页

作者： Marek, Scott Tervo-Clemmens, Brenden Calabro, Finnegan J. Montez, David F. Kay, Benjamin P. Hatoum, Alexander S. Donohue, Meghan Rose Foran, William Miller, Ryland L. Hendrickson, Timothy J. Malone, Stephen M. Kandala, Sridhar Feczko, Eric Miranda-Dominguez, Oscar Graham, Alice M. Earl, Eric A. Perrone, Anders J. Cordova, Michaela Doyle, Olivia Moore, Lucille A. Conan, Gregory M. Uriarte, Johnny Snider, Kathy Lynch, Benjamin J. Wilgenbusch, James C. Pengo, Thomas Tam, Angela Chen, Jianzhong Newbold, Dillan J. Zheng, Annie Seider, Nicole A. Van, Andrew N. Metoki, Athanasia Chauvin, Roselyne J. Laumann, Timothy O. Greene, Deanna J. Petersen, Steven E. Garavan, Hugh Thompson, Wesley K. Nichols, Thomas E. Yeo, B. T. Thomas Barch, Deanna M. Luna, Beatriz Fair, Damien A. Dosenbach, Nico U. F. Department of Psychiatry Washington University School of Medicine St Louis MO USA Department of Neurology Washington University School of Medicine St Louis MO USA Department of Psychological and Brain Sciences Washington University in St Louis St Louis MO USA Department of Psychiatry Massachusetts General Hospital Harvard Medical School Boston MA USA Department of Psychology University of Pittsburgh Pittsburgh PA USA Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Department of Bioengineering University of Pittsburgh Pittsburgh PA USA Department of Biomedical Engineering Washington University in St Louis St Louis MO USA Department of Radiology Washington University School of Medicine St Louis MO USA Department of Neurological Surgery Washington University School of Medicine St Louis MO USA Program in Occupational Therapy Washington University School of Medicine St Louis MO USA Department of Pediatrics Washington University School of Medicine St Louis MO USA University of Minnesota Informatics Institute University of Minnesota Minneapolis MN USA Department of Psychology University of Minnesota Minneapolis MN USA Masonic Institute for the Developing Brain University of Minnesota Medical School Minneapolis MN USA Department of Pediatrics University of Minnesota Medical School Minneapolis MN USA Department of Psychiatry Oregon Health and Science University Portland OR USA Minnesota Supercomputing Institute University of Minnesota Minneapolis MN USA Institute of Child Development University of Minnesota Medical School Minneapolis MN USA Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore Centre for Sleep and Cognition National University of Singapore Singapore Singapore Centre for Translational MR Research National University of Singapore Singapore Singapore N.1 Institute for Health Institute for Digital Medicine National University of Singapore Singapore Sing

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