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Swarup, Vivek

0000-0003-3762-2746

Mayo Clinic

University of California, Los Angeles

Citations 2

Transcriptome and epigenome landscape of human cortical development modeled in organoids
Amiri, Anahita , Coppola, Gianfilippo , Scuderi, Soraya , Wu, Feinan , Roychowdhury, Tanmoy , Liu, Fuchen , Pochareddy, Sirisha , Shin, Yurae , Safi, Alexias , Song, Lingyun , Sousa, André M. M. , Crawford, Gregory E. , Šestan, Nenad , Abyzov, Alexej , Vaccarino, Flora M. , An, Joon‐Yong , Armoskus, Christoper, Beach, Thomas G., Belmont, Judson, Bendl, Jaroslav , Borrman, Tyler , Brown, Leanne, Brown, Miguel , Brown, Mimi, Brunetti, Tonya M. , Burke, Emily E., Chae, Yooree, Charney, Alexander W. , Cherskov, Adriana , Choi, Jinmyung , Clarke, Declan , Valle, Diane M. Del , Devillers, Olivia, Dracheva, Stella , Emani, Prashant S. , Evgrafov, Oleg V. , Fitzgerald, Dominic , Flatow, Elie, Francoeur, Nancy , Fullard, John F. , Gao, Tianliuyun , Geschwind, Daniel H. , Giase, Gina , Goodman, Thomas, Grennan, Kay, Gu, Mengting , Hadjimichael, Evi , Hahn, Chang-Gyu, Haroutunian, Vahram , Huey, Jack , Ivanov, Nikolay A. , Jacobov, Rivka, Jiang, Yan , Jiang, Yi , Kassim, Bibi, Kefi, Amira , Kleiman, Joel E., Knowles, James A. , Kozlenkov, Alexey , Li, Zhen , Lipska, Barbara K., Mangravite, Lara M. , Mariani, Jessica , Mattei, Eugenio , Miller, Daniel J. , Moore, J. Russell, Peters, Mette A. , Pinto, Dalila , Polioudakis, Damon, Ray, Mohana, Reddy, Timothy E. , Rhie, Suhn K. , Santpere, Gabriel , Sheppard, Brooke , Shi, Xu , Shieh, Annie W. , Shin, Joo Heon , Spitsyna, Valeria N. , Szatkiewicz, Jin , Szekely, Anna , Wang, Yongjun , Weissman, Sherman M., Weng, Zhiping , White, Kevin P. , Willsey, Jeremy A., Witt, Heather , Won, Hyejung , Xia, Yan , Xu, Min , Yang, Mo , Zandi, Peter P. , Zhang, Jing , Zharovsky, Elizabeth , Sousa, André M M , Gerstein, Mark , Crawford, Gregory E , Sestan, Nenad , Abyzov, Alexej , Vaccarino, Flora M , Del Valle, Diane M , Zhu, Ying , Gerstein, Mark , Akbarian, Schahram , Ashley‐Koch, Allison E. , Bryois, Julien , Camarena, Adrian , Carlyle, Becky Catherine , Chen, Chao , Cheng, Lijun , Collado‐Torres, Leonardo , Dai, Rujia , Torre-Ubieta, Luis de la , Farnham, Peggy , Gandal, Michael J. , Garrett, Melanie E , Girdhar, Kiran Kumar , Giusti‐Rodríguez, Paola , Goes, Fernando , Goodman, Thomas, Gürsoy, Gamze , Hauberg, Mads E. , Hoffman, Gabriel E. , Hyde, Thomas M , Jaffe, Andrew E. , Johnson, Graham D. , Kim, Yunjung , Kitchen, Robert , Li, Mingfeng , Liu, Chunyu , Liu, Shuang , Moore, Jill, Nairn, Angus C. , Navarro, Fábio C. P. , Park, Royce , Pratt, Henry , Price, Amanda J. , Purcaro, Michael J. , Roussos, Panos , Sanders, Stephan , Schreiner, Shannon , Škarica, Mario , State, Matthew W. , Sullivan, Patrick F. , Swarup, Vivek , Tao, Ran , Bakel, Harm van , Wang, Daifeng , Warrell, Jonathan , Webster, Maree J. , Werling, Donna M. , Wiseman, Jennifer R. , Wray, Gregory A. , Yang, Yucheng

Science | December 13, 2018 | Volume: 362 | Issue: 6420 | Pages: No page available

10.1126/science.aat6720 Get It

INTRODUCTION The human cerebral cortex has undergone an extraordinary increase in size and complexity during mammalian evolution. Cortical cell lineages are specified in the embryo, and genetic and epidemiological evidence implicates early cortical development in the etiology of neuropsychiatric disorders such as autism spectrum disorder (ASD), intellectual disabilities, and schizophrenia. Most of the disease-implicated genomic variants are located outside of genes, and the interpretation of noncoding mutations is lagging behind owing to limited annotation of functional elements in the noncoding genome. RATIONALE We set out to discover gene-regulatory elements and chart their dynamic activity during prenatal human cortical development, focusing on enhancers, which carry most of the weight upon regulation of gene expression. We longitudinally modeled human brain development using human induced pluripotent stem cell (hiPSC)–derived cortical organoids and compared organoids to isogenic fetal brain tissue. RESULTS Fetal fibroblast–derived hiPSC lines were used to generate cortically patterned organoids and to compare oganoids’ epigenome and transcriptome to that of isogenic fetal brains and external datasets. Organoids model cortical development between 5 and 16 postconception weeks, thus enabling us to study transitions from cortical stem cells to progenitors to early neurons. The greatest changes occur at the transition from stem cells to progenitors. The regulatory landscape encompasses a total set of 96,375 enhancers linked to target genes, with 49,640 enhancers being active in organoids but not in mid-fetal brain, suggesting major roles in cortical neuron specification. Enhancers that gained activity in the human lineage are active in the earliest stages of organoid development, when they target genes that regulate the growth of radial glial cells. Parallel weighted gene coexpression network analysis (WGCNA) of transcriptome and enhancer activities defined a number of modules of coexpressed genes and coactive enhancers, following just six and four global temporal patterns that we refer to as supermodules, likely reflecting fundamental programs in embryonic and fetal brain. Correlations between gene expression and enhancer activity allowed stratifying enhancers into two categories: activating regulators (A-regs) and repressive regulators (R-regs). Several enhancer modules converged with gene modules, suggesting that coexpressed genes are regulated by enhancers with correlated patterns of activity. Furthermore, enhancers active in organoids and fetal brains were enriched for ASD de novo variants that disrupt binding sites of homeodomain, Hes1, NR4A2, Sox3, and NFIX transcription factors. CONCLUSION We validated hiPSC-derived cortical organoids as a suitable model system for studying gene regulation in human embryonic brain development, evolution, and disease. Our results suggest that organoids may reveal how noncoding mutations contribute to ASD etiology. Summary of the study, analyses, and main results. Data were generated for iPSC-derived human telencephalic organoids and isogenic fetal cortex. Organoids modeled embryonic and early fetal cortex and show a larger repertoire of enhancers. Enhancers could be divided into activators and repressors of gene expression. We derived networks of modules and supermodules with correlated gene and enhancer activities, some of which were implicated in autism spectrum disorders (ASD).
Conserved brain myelination networks are altered in Alzheimer's and other neurodegenerative diseases
Allen, Mariet , Wang, Xue , Burgess, Jeremy D. , Serie, Daniel, Younkin, Curtis, Nguyen, Thuy , Malphrus, Kimberly G., Lincoln, Sarah, Carrasquillo, Minerva M. , Ho, Charlotte C.G. , Chakrabarty, Paramita , Strickland, Samantha L. , Murray, Melissa E. , Geschwind, Daniel H. , Seyfried, Nicholas T. , Dammer, Eric B. , Levey, Allan I. , Golde, Todd E. , Funk, Cory C. , Li, Hongdong , Price, Nathan D. , Petersen, Ronald C. , Graff‐Radford, Neill R. , Younkin, Steven G. , Crook, Julia, Asmann, Yan W. , Ertekin‐Taner, Nilüfer , Watzlawik, Jens, Serie, Daniel J, Younkin, Curtis S, Ho, Charlotte, Crook, Julia R, Price, Nathan D , Murray, Melissa E , Watzlawik, Jens O. , Carrasquillo, Minerva M. , Swarup, Vivek , Lah, James J. , Li, Hongdong, Dickson, Dennis W. , Dammer, Eric B , Levey, Allan I

Alzheimer's & Dementia | October 31, 2017 | Volume: 14 | Issue: 3 | Pages: 352-366

10.1016/j.jalz.2017.09.012 Get It

Abstract Introduction Comparative transcriptome analyses in Alzheimer's disease (AD) and other neurodegenerative proteinopathies can uncover both shared and distinct disease pathways. Methods We analyzed 940 brain transcriptomes including patients with AD, progressive supranuclear palsy (PSP; a primary tauopathy), and control subjects. Results We identified transcriptional coexpression networks implicated in myelination, which were lower in PSP temporal cortex (TCX) compared with AD. Some of these associations were retained even after adjustments for brain cell population changes. These TCX myelination network structures were preserved in cerebellum but they were not differentially expressed in cerebellum between AD and PSP. Myelination networks were downregulated in both AD and PSP, when compared with control TCX samples. Discussion Downregulation of myelination networks may underlie both PSP and AD pathophysiology, but may be more pronounced in PSP. These data also highlight conservation of transcriptional networks across brain regions and the influence of cell type changes on these networks.