Integrated systems analysis reveals a molecular network underlying autism spectrum disorders

Li, Jingjing, Shi, Minyi, Ma, Zhihai, Zhao, Shuchun, Euskirchen, Ghia, Ziskin, Jennifer, Urban, Alexander, Hallmayer, Joachim +1 more·2014·Molecular Systems Biology

Cited by (132)

Items 101–132 of 132

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  3. Comparing synaptic proteomes across seven mouse models for autism reveals molecular subtypes and deficits in Rho GTPase signaling
    Abigail U. Carbonell, Carmen Freire‐Cobo, Ilana V. Deyneko, Hediye Erdjument‐Bromage, Amy E. Clipperton‐Allen, Randall L. Rasmusson, Damon T. Page, Thomas A. Neubert, Bryen A. Jordan · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  4. Maternal immune activation imprints a regulatory T cell deficiency in offspring that drives an autism-like phenotype
    Pierre Ellul, Gwladys Fourcade, Vanessa Mhanna, Nicolas Coatnoan, Susana Bodula, Danielle Seilhean, Laura Mouton, Gwendolyn Marguerit, Richard Delorme, Mi Tian et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  5. Innovative biomarker exploration in ASD: Combining Graph Neural Networks and permutation testing on fMRI data
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  6. Evolution of sociability: genome scans and gene validation
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  7. Genetic influence on the dynamics of social group formation
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  8. Autism cornered: network analyses reveal mechanisms of autism spectrum disorders
    C. Auffray · 2014 · Molecular Systems Biology
  9. Gene Networks in Neuropsychiatric Disease
    Neelroop Parikshak, Daniel H. Geschwind · 2016 · Elsevier eBooks
  10. Autism Risk Classification Using Graph Neural Networks Applied to Gene Interaction Data
    Kyle Riccardi, Danushka Bandara · 2023 · Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE)
  11. Transcripts derived from AmnSINE1 repetitive sequences are depleted in the cortex of autism spectrum disorder patients
    Nicolina Sciaraffa, Daniele Santoni, Andrea Li Greci, Swonild Ilenia Genovese, Claudia Coronnello, Walter Arancio · 2025 · Frontiers in Bioinformatics
  12. Autism Spectrum Disorder
    Rebecca Muhle, Stephan Sanders, Hannah E. Reed, Matthew W. State · 2016 · Elsevier eBooks
  13. Network-based integrative analysis of lithium response in bipolar disorder using transcriptomic and GWAS data
    Vipavee Niemsiri, Sara Brin Rosenthal, Caroline M. Nievergelt, Adam X. Maihofer, Maria Carolina Marchetto, Renata Santos, Tatyana Shekhtman, Ney Alliey‐Rodriguez, Amit Anand, Yokesh Balaraman et al. · 2022 · medRxiv
  14. Sex-biased transcriptome in embryonic mouse cortices under Pax6 haploinsufficiency highlights Pbdc1 as a candidate regulator
    Shyu Manabe, Shohei Ochi, Takako Kikkawa, Sharmin Naher, Mai Saeki, Kohdai Yamada, Hidetaka Kosako, Yusuke Kishi, Tatsuya Sawasaki, Noriko Osumi · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  15. Neurotherapy and Connectivity
    Kirtley E. Thornton · 2016 · Biofeedback
  16. Chapter 9 Corpus callosum and autism
    Lawrence K. Fung, Antonio Y. Hardan · 2016 · CRC Press eBooks
  17. Characterisation of neuronal and autism-associated microRNAs through systems-based analysis
    Sarah Williams · 2017 · The University of Queensland
  18. Title:'Genetic'heterogeneity'in'autism:'from'single'gene'to'a' pathway'perspective'
    Charles Claudianos · 2016
  19. Gene modules associated with human diseases revealed by network analysis
    Shisong Ma, Jiazhen Gong, Wanzhu Zuo, Haiying Geng, Yu Zhang, Meng Wang, Ershang Han, Jing Peng, Yuzhou Wang, Yifan Wang et al. · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  20. Role of Long Noncoding RNAs in Aggressive Brain Tumors
    Brian J. Reon · 2017
  21. Human stem cell models linking biometal abnormalities and autism
    Andreas Martin Grabrucker · 2020 · Elsevier eBooks
  22. Perinatal Inflammation Disturbs Secondary Germinal Zone Neurogenesis and Gliogenesis Producing Deficits in Sociability
    Fernando Janczur Velloso, Anna Wadhwa, Ekta Kumari, Ioana Carcea, Ozlem Bozdagi-Gunal, Steven W. Levison · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  23. Single cell transcriptome identifies molecular subtype of autism spectrum disorder impacted by de novo loss of function mutation genes regulating glial cells
    Nasna Nassir, Asma Bankapur, Bisan Samara, Abdulrahman Y. Ali, Awab Ahmed, Ibrahim Muhammad Inuwa, Mehdi Zarrei, Seyed Ali Safizadeh Shabestari, Ammar Albanna, Jennifer Howe et al. · 2021 · Research Square
  24. Faculty Opinions recommendation of In vivo proximity proteomics of nascent synapses reveals a novel regulator of cytoskeleton-mediated synaptic maturation.
    Thomas Biederer · 2019 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
  25. Systems Analysis of de novo Mutations in Congenital Heart Diseases Identified a Molecular Network in Hypoplastic Left Heart Syndrome
    Yuejun Jessie Wang, Xicheng Zhang, Chi Keung Lam, Hongchao Guo, Cheng Wang, Sai Zhang, Joseph C. Wu, Michael P. Snyder, Jingjing Li · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  26. Identification of critical cell-types using genetic modules: A case study of neurodevelopmental disorders
    Julie C. Chow, Markéta Tomková, Ashleigh Thomas, Elior Rahmani, Sagiv Shifman, Fereydoun Hormozdiari · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  27. Corpus Callosum in Autism Spectrum Disorder
    William Smith, Cuong C. J. Bui, Richard Shane Tubbs · 2023 · Springer eBooks
  28. Autism Spectrum Disorder gene prediction using Machine learning model and Human brain Spatiotemporal gene expression Data
    Mouncef El ouardi, Ahmed S. Squalli Houssaini, Mohammed Oukabli, Hassan Kisra, Mounia Abık, Mounia Bensaid · 2024 · Research Square
  29. Additional file 1 of Dlgap1 negatively regulates browning of white fat cells through effects on cell proliferation and apoptosis
    Zhang, Ju, Yang, Jie, Yang, Nan, Jianfei Ma, Datong Lu, Dong, Yanhua, Hao Liang, D J Liu, Cang, Ming · 2020 · Figshare
  30. Knockdown of Ddx3x in mPFC induces autistic-like phenotype in mice via altered synaptic plasticity
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  31. Driver or passenger? A new assessment of genes in the schizophrenia-associated 3q29 deletion locus for contribution to neurodevelopmental disorders
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  32. Multi-Omic Analysis of Cerebrospinal Fluid Metabolites in Autism Spectrum Disorder: Biomarker Identification, Metabolic Genetics Insights, and Network Toxicology
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