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5 results on '"Safi, Alexias"'

1. Transcriptome and epigenome landscape of human cortical development modeled in organoids

Author

Amiri, Anahita, Coppola, Gianfilippo, Scuderi, Soraya, Wu, Feinan, Roychowdhury, Tanmoy, Liu, Fuchen, Pochareddy, Sirisha, Shin, Yurae, Safi, Alexias, Song, Lingyun, Zhu, Ying, Sousa, André MM, Gerstein, Mark, Crawford, Gregory E, Sestan, Nenad, Abyzov, Alexej, Vaccarino, Flora M, Akbarian, Schahram, An, Joon-Yong, Armoskus, Christoper, Ashley-Koch, Allison E, Beach, Thomas G, Belmont, Judson, Bendl, Jaroslav, Borrman, Tyler, Brown, Leanne, Brown, Miguel, Brown, Mimi, Brunetti, Tonya, Bryois, Julien, Burke, Emily E, Camarena, Adrian, Carlyle, Becky C, Chae, Yooree, Charney, Alexander W, Chen, Chao, Cheng, Lijun, Cherskov, Adriana, Choi, Jinmyung, Clarke, Declan, Collado-Torres, Leonardo, Dai, Rujia, De La Torre Ubieta, Luis, DelValle, Diane, Devillers, Olivia, Dracheva, Stella, Emani, Prashant S, Evgrafov, Oleg V, Farnham, Peggy J, Fitzgerald, Dominic, Flatow, Elie, Francoeur, Nancy, Fullard, John F, Gandal, Michael J, Gao, Tianliuyun, Garrett, Melanie E, Geschwind, Daniel H, Giase, Gina, Girdhar, Kiran, Giusti-Rodriguez, Paola, Goes, Fernando S, Goodman, Thomas, Grennan, Kay S, Gu, Mengting, Gürsoy, Gamze, Hadjimichael, Evi, Hahn, Chang-Gyu, Haroutunian, Vahram, Hauberg, Mads E, Hoffman, Gabriel E, Huey, Jack, Hyde, Thomas M, Ivanov, Nikolay A, Jacobov, Rivka, Jaffe, Andrew E, Jiang, Yan, Jiang, Yi, Johnson, Graham D, Kassim, Bibi S, Kefi, Amira, Kim, Yunjung, Kitchen, Robert R, Kleiman, Joel E, Knowles, James A, Kozlenkov, Alexey, Li, Mingfeng, Li, Zhen, Lipska, Barbara K, Liu, Chunyu, Liu, Shuang, Mangravite, Lara M, Mariani, Jessica, Mattei, Eugenio, Miller, Daniel J, Moore, Jill, Nairn, Angus C, Navarro, Fabio CP, Park, Royce B, Peters, Mette A, and Pinto, Dalila

Subjects
Stem Cell Research - Nonembryonic - Human, Stem Cell Research - Embryonic - Human, Stem Cell Research - Induced Pluripotent Stem Cell - Human, Stem Cell Research, Genetics, Stem Cell Research - Induced Pluripotent Stem Cell, Human Genome, Intellectual and Developmental Disabilities (IDD), Autism, Brain Disorders, Biotechnology, Clinical Research, Mental Health, Pediatric, Neurosciences, 2.1 Biological and endogenous factors, Underpinning research, Aetiology, 1.1 Normal biological development and functioning, Neurological, Cerebral Cortex, Enhancer Elements, Genetic, Epigenesis, Genetic, Gene Expression Regulation, Developmental, Humans, Induced Pluripotent Stem Cells, Models, Neurological, Neurogenesis, Organoids, Transcriptome, PsychENCODE Consortium, General Science & Technology
Abstract

Genes implicated in neuropsychiatric disorders are active in human fetal brain, yet difficult to study in a longitudinal fashion. We demonstrate that organoids from human pluripotent cells model cerebral cortical development on the molecular level before 16 weeks postconception. A multiomics analysis revealed differentially active genes and enhancers, with the greatest changes occurring at the transition from stem cells to progenitors. Networks of converging gene and enhancer modules were assembled into six and four global patterns of expression and activity across time. A pattern with progressive down-regulation was enriched with human-gained enhancers, suggesting their importance in early human brain development. A few convergent gene and enhancer modules were enriched in autism-associated genes and genomic variants in autistic children. The organoid model helps identify functional elements that may drive disease onset.

Published
2018

2. Comprehensive functional genomic resource and integrative model for the human brain

Author

Wang, Daifeng, Liu, Shuang, Warrell, Jonathan, Won, Hyejung, Shi, Xu, Navarro, Fabio CP, Clarke, Declan, Gu, Mengting, Emani, Prashant, Yang, Yucheng T, Xu, Min, Gandal, Michael J, Lou, Shaoke, Zhang, Jing, Park, Jonathan J, Yan, Chengfei, Rhie, Suhn Kyong, Manakongtreecheep, Kasidet, Zhou, Holly, Nathan, Aparna, Peters, Mette, Mattei, Eugenio, Fitzgerald, Dominic, Brunetti, Tonya, Moore, Jill, Jiang, Yan, Girdhar, Kiran, Hoffman, Gabriel E, Kalayci, Selim, Gümüş, Zeynep H, Crawford, Gregory E, Roussos, Panos, Akbarian, Schahram, Jaffe, Andrew E, White, Kevin P, Weng, Zhiping, Sestan, Nenad, Geschwind, Daniel H, Knowles, James A, Gerstein, Mark B, Ashley-Koch, Allison E, Garrett, Melanie E, Song, Lingyun, Safi, Alexias, Johnson, Graham D, Wray, Gregory A, Reddy, Timothy E, Goes, Fernando S, Zandi, Peter, Bryois, Julien, Price, Amanda J, Ivanov, Nikolay A, Collado-Torres, Leonardo, Hyde, Thomas M, Burke, Emily E, Kleiman, Joel E, Tao, Ran, Shin, Joo Heon, Kundakovic, Marija, Brown, Leanne, Kassim, Bibi S, Park, Royce B, Wiseman, Jennifer R, Zharovsky, Elizabeth, Jacobov, Rivka, Devillers, Olivia, Flatow, Elie, Lipska, Barbara K, Lewis, David A, Haroutunian, Vahram, Hahn, Chang-Gyu, Charney, Alexander W, Dracheva, Stella, Kozlenkov, Alexey, Belmont, Judson, DelValle, Diane, Francoeur, Nancy, Hadjimichael, Evi, Pinto, Dalila, van Bakel, Harm, Fullard, John F, Bendl, Jaroslav, Hauberg, Mads E, Mangravite, Lara M, Peters, Mette A, Chae, Yooree, Peng, Junmin, Niu, Mingming, Wang, Xusheng, Webster, Maree J, Beach, Thomas G, Chen, Chao, and Jiang, Yi

Subjects
Human Genome, Biotechnology, Schizophrenia, Mental Health, Brain Disorders, Genetics, Neurosciences, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Underpinning research, Aetiology, Mental health, Brain, Datasets as Topic, Deep Learning, Enhancer Elements, Genetic, Epigenesis, Genetic, Epigenomics, Gene Expression Regulation, Gene Regulatory Networks, Genome-Wide Association Study, Humans, Mental Disorders, Quantitative Trait Loci, Single-Cell Analysis, Transcriptome, PsychENCODE Consortium, General Science & Technology
Abstract

Despite progress in defining genetic risk for psychiatric disorders, their molecular mechanisms remain elusive. Addressing this, the PsychENCODE Consortium has generated a comprehensive online resource for the adult brain across 1866 individuals. The PsychENCODE resource contains ~79,000 brain-active enhancers, sets of Hi-C linkages, and topologically associating domains; single-cell expression profiles for many cell types; expression quantitative-trait loci (QTLs); and further QTLs associated with chromatin, splicing, and cell-type proportions. Integration shows that varying cell-type proportions largely account for the cross-population variation in expression (with >88% reconstruction accuracy). It also allows building of a gene regulatory network, linking genome-wide association study variants to genes (e.g., 321 for schizophrenia). We embed this network into an interpretable deep-learning model, which improves disease prediction by ~6-fold versus polygenic risk scores and identifies key genes and pathways in psychiatric disorders.

Published
2018

3. Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Author

Li, Mingfeng, Santpere, Gabriel, Imamura Kawasawa, Yuka, Evgrafov, Oleg V, Gulden, Forrest O, Pochareddy, Sirisha, Sunkin, Susan M, Li, Zhen, Shin, Yurae, Zhu, Ying, Sousa, André MM, Werling, Donna M, Kitchen, Robert R, Kang, Hyo Jung, Pletikos, Mihovil, Choi, Jinmyung, Muchnik, Sydney, Xu, Xuming, Wang, Daifeng, Lorente-Galdos, Belen, Liu, Shuang, Giusti-Rodríguez, Paola, Won, Hyejung, de Leeuw, Christiaan A, Pardiñas, Antonio F, Hu, Ming, Jin, Fulai, Li, Yun, Owen, Michael J, O’Donovan, Michael C, Walters, James TR, Posthuma, Danielle, Reimers, Mark A, Levitt, Pat, Weinberger, Daniel R, Hyde, Thomas M, Kleinman, Joel E, Geschwind, Daniel H, Hawrylycz, Michael J, State, Matthew W, Sanders, Stephan J, Sullivan, Patrick F, Gerstein, Mark B, Lein, Ed S, Knowles, James A, Sestan, Nenad, Willsey, A Jeremy, Oldre, Aaron, Szafer, Aaron, Camarena, Adrian, Cherskov, Adriana, Charney, Alexander W, Abyzov, Alexej, Kozlenkov, Alexey, Safi, Alexias, Jones, Allan R, Ashley-Koch, Allison E, Ebbert, Amanda, Price, Amanda J, Sekijima, Amanda, Kefi, Amira, Bernard, Amy, Amiri, Anahita, Sboner, Andrea, Clark, Andrew, Jaffe, Andrew E, Tebbenkamp, Andrew TN, Sodt, Andy J, Guillozet-Bongaarts, Angie L, Nairn, Angus C, Carey, Anita, Huttner, Anita, Chervenak, Ann, Szekely, Anna, Shieh, Annie W, Harmanci, Arif, Lipska, Barbara K, Carlyle, Becky C, Gregor, Ben W, Kassim, Bibi S, Sheppard, Brooke, Bichsel, Candace, Hahn, Chang-Gyu, Lee, Chang-Kyu, Chen, Chao, Kuan, Chihchau L, Dang, Chinh, Lau, Chris, Cuhaciyan, Christine, Armoskus, Christoper, Mason, Christopher E, Liu, Chunyu, Slaughterbeck, Cliff R, Bennet, Crissa, Pinto, Dalila, Polioudakis, Damon, Franjic, Daniel, Miller, Daniel J, Bertagnolli, Darren, and Lewis, David A

Subjects
Human Genome, Genetics, Neurosciences, Biotechnology, Pediatric, Mental Health, Brain, Epigenesis, Genetic, Epigenomics, Gene Expression Regulation, Developmental, Gene Regulatory Networks, Humans, Mental Disorders, Nervous System Diseases, Neurogenesis, Single-Cell Analysis, Transcriptome, BrainSpan Consortium, PsychENCODE Consortium, PsychENCODE Developmental Subgroup, General Science & Technology
Abstract

To broaden our understanding of human neurodevelopment, we profiled transcriptomic and epigenomic landscapes across brain regions and/or cell types for the entire span of prenatal and postnatal development. Integrative analysis revealed temporal, regional, sex, and cell type-specific dynamics. We observed a global transcriptomic cup-shaped pattern, characterized by a late fetal transition associated with sharply decreased regional differences and changes in cellular composition and maturation, followed by a reversal in childhood-adolescence, and accompanied by epigenomic reorganizations. Analysis of gene coexpression modules revealed relationships with epigenomic regulation and neurodevelopmental processes. Genes with genetic associations to brain-based traits and neuropsychiatric disorders (including MEF2C, SATB2, SOX5, TCF4, and TSHZ3) converged in a small number of modules and distinct cell types, revealing insights into neurodevelopment and the genomic basis of neuropsychiatric risks.

Published
2018

4. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder

Author

Gandal, Michael J, Zhang, Pan, Hadjimichael, Evi, Walker, Rebecca L, Chen, Chao, Liu, Shuang, Won, Hyejung, van Bakel, Harm, Varghese, Merina, Wang, Yongjun, Shieh, Annie W, Haney, Jillian, Parhami, Sepideh, Belmont, Judson, Kim, Minsoo, Moran Losada, Patricia, Khan, Zenab, Mleczko, Justyna, Xia, Yan, Dai, Rujia, Wang, Daifeng, Yang, Yucheng T, Xu, Min, Fish, Kenneth, Hof, Patrick R, Warrell, Jonathan, Fitzgerald, Dominic, White, Kevin, Jaffe, Andrew E, Peters, Mette A, Gerstein, Mark, Liu, Chunyu, Iakoucheva, Lilia M, Pinto, Dalila, Geschwind, Daniel H, Ashley-Koch, Allison E, Crawford, Gregory E, Garrett, Melanie E, Song, Lingyun, Safi, Alexias, Johnson, Graham D, Wray, Gregory A, Reddy, Timothy E, Goes, Fernando S, Zandi, Peter, Bryois, Julien, Price, Amanda J, Ivanov, Nikolay A, Collado-Torres, Leonardo, Hyde, Thomas M, Burke, Emily E, Kleiman, Joel E, Tao, Ran, Shin, Joo Heon, Akbarian, Schahram, Girdhar, Kiran, Jiang, Yan, Kundakovic, Marija, Brown, Leanne, Kassim, Bibi S, Park, Royce B, Wiseman, Jennifer R, Zharovsky, Elizabeth, Jacobov, Rivka, Devillers, Olivia, Flatow, Elie, Hoffman, Gabriel E, Lipska, Barbara K, Lewis, David A, Haroutunian, Vahram, Hahn, Chang-Gyu, Charney, Alexander W, Dracheva, Stella, Kozlenkov, Alexey, DelValle, Diane, Francoeur, Nancy, Roussos, Panos, Fullard, John F, Bendl, Jaroslav, Hauberg, Mads E, Mangravite, Lara M, Chae, Yooree, Peng, Junmin, Niu, Mingming, Wang, Xusheng, Webster, Maree J, Beach, Thomas G, Jiang, Yi, and Grennan, Kay S

Subjects
Pharmacology and Pharmaceutical Sciences, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Neurosciences, Intellectual and Developmental Disabilities (IDD), Brain Disorders, Mental Illness, Bipolar Disorder, Mental Health, Schizophrenia, Biotechnology, Serious Mental Illness, Autism, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Autism Spectrum Disorder, Brain, Genetic Predisposition to Disease, Humans, Protein Isoforms, RNA Splicing, Sequence Analysis, RNA, Transcriptome, PsychENCODE Consortium, General Science & Technology
Abstract

Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in brain samples from 1695 individuals with autism spectrum disorder (ASD), schizophrenia, and bipolar disorder, as well as controls. More than 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. Coexpression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon-response modules defining previously unidentified neural-immune mechanisms. We integrated genetic and genomic data to perform a transcriptome-wide association study, prioritizing disease loci likely mediated by cis effects on brain expression. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development.

Published
2018

5. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights.

Author

Gusev, Alexander, Mancuso, Nicholas, Won, Hyejung, Kousi, Maria, Finucane, Hilary K, Reshef, Yakir, Song, Lingyun, Safi, Alexias, Schizophrenia Working Group of the Psychiatric Genomics Consortium, McCarroll, Steven, Neale, Benjamin M, Ophoff, Roel A, O'Donovan, Michael C, Crawford, Gregory E, Geschwind, Daniel H, Katsanis, Nicholas, Sullivan, Patrick F, Pasaniuc, Bogdan, and Price, Alkes L

Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Brain, Chromatin, Animals, Zebrafish, Humans, Genetic Predisposition to Disease, Mitogen-Activated Protein Kinase 3, Microtubule-Associated Proteins, Zebrafish Proteins, Gene Expression Profiling, Schizophrenia, Gene Dosage, Multifactorial Inheritance, Quantitative Trait Loci, Protein Phosphatase 2, Genome-Wide Association Study, Human Genome, Genetics, Mental Health, Neurosciences, Brain Disorders, Serious Mental Illness, 2.1 Biological and endogenous factors, Mental health, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Genome-wide association studies (GWAS) have identified over 100 risk loci for schizophrenia, but the causal mechanisms remain largely unknown. We performed a transcriptome-wide association study (TWAS) integrating a schizophrenia GWAS of 79,845 individuals from the Psychiatric Genomics Consortium with expression data from brain, blood, and adipose tissues across 3,693 primarily control individuals. We identified 157 TWAS-significant genes, of which 35 did not overlap a known GWAS locus. Of these 157 genes, 42 were associated with specific chromatin features measured in independent samples, thus highlighting potential regulatory targets for follow-up. Suppression of one identified susceptibility gene, mapk3, in zebrafish showed a significant effect on neurodevelopmental phenotypes. Expression and splicing from the brain captured most of the TWAS effect across all genes. This large-scale connection of associations to target genes, tissues, and regulatory features is an essential step in moving toward a mechanistic understanding of GWAS.

Published
2018

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