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1. Developing a complete isoform view of biology
It is well established that the vast majority of mammalian genes can generate multiple isoforms. Yet, the majority of publications considers a "one-gene-one-protein" model, in which each gene's expression is represented by a single number. If we take the view that genes can talk - the "one-gene-one-number" approach is akin to judging each gene by how much it talks; not by what it is actually saying. We have made considerable progress (both on the informatic and experimental side) on the way to actually judging genes by what-they-say, yet important challenges still remain to be conquered.
2. Isoform usage patterns in the central nervous system
All cells in a mammalian brain have (approximately) the same genome - yet they have unique ways of interpreting this genome by producing characteristic expression patterns of genes - and unique sets of RNA and protein isoforms. We aim at finding these characteristic isoforms of a variety of cell types and establish if and how they are linked to the cell's function.
3. Isoform switches associated with development & aging
Complex organs such as the brain change dramatically first during development and then again during the aging process - despite only relatively small changes in DNA sequence. We aim at using our unique set of technological insights to understand how isoform usage is affected, both during development and aging - and at distinguishing causes from consequences.
4. Isoform usage in developmental disorders and neurodegenerative disease
Both developmental and neurodegenerative diseases have devastating consequences for the affected individuals. Yet a true isoform view of these diseases is lacking in almost all cases and may advance our understanding of the molecular causes for disease
It is well established that the vast majority of mammalian genes can generate multiple isoforms. Yet, the majority of publications considers a "one-gene-one-protein" model, in which each gene's expression is represented by a single number. If we take the view that genes can talk - the "one-gene-one-number" approach is akin to judging each gene by how much it talks; not by what it is actually saying. We have made considerable progress (both on the informatic and experimental side) on the way to actually judging genes by what-they-say, yet important challenges still remain to be conquered.
2. Isoform usage patterns in the central nervous system
All cells in a mammalian brain have (approximately) the same genome - yet they have unique ways of interpreting this genome by producing characteristic expression patterns of genes - and unique sets of RNA and protein isoforms. We aim at finding these characteristic isoforms of a variety of cell types and establish if and how they are linked to the cell's function.
3. Isoform switches associated with development & aging
Complex organs such as the brain change dramatically first during development and then again during the aging process - despite only relatively small changes in DNA sequence. We aim at using our unique set of technological insights to understand how isoform usage is affected, both during development and aging - and at distinguishing causes from consequences.
4. Isoform usage in developmental disorders and neurodegenerative disease
Both developmental and neurodegenerative diseases have devastating consequences for the affected individuals. Yet a true isoform view of these diseases is lacking in almost all cases and may advance our understanding of the molecular causes for disease
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论文共 56 篇作者统计合作学者相似作者
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bioRxiv the preprint server for biology (2024)
Binsheng Gong,Dan Li, Pawel P. Labaj,Bohu Pan,Natalia Novoradovskaya,Danielle Thierry-Mieg, Jean Thierry-Mieg,Guangchun Chen,Anne Bergstrom Lucas,Jennifer S. Lococo, Todd A. Richmond,Elizabeth Tseng,Rebecca Kusko,Scott Happe, Timothy R. Mercer,Carlos Pabon-Pena,Michael Salmans,Hagen U. Tilgner,Wenzhong Xiao,Donald J. Johann,Wendell Jones,Weida Tong, Christopher E. Mason,David P. Kreil,Joshua Xu
SCIENTIFIC DATAno. 1 (2024)
Luozixian Wang,Daniel Urrutia-Cabrera,Sandy Shen-Chi Hung, Alex W Hewitt, Samuel W Lukowski,Careen Foord,Peng-Yuan Wang,Hagen Tilgner,Raymond Wong
biorxiv(2024)
Seth A Ament,Rianne R Campbell, Mary Kay Lobo,Joseph P Receveur,Kriti Agrawal,Alejandra Borjabad,Siddappa N Byrareddy,Linda Chang,Declan Clarke,Prashant Emani,Dana Gabuzda, Kyle J Gaulton,Michelle Giglio,Federico M Giorgi, Busra Gok,Chittibabu Guda,Eran Hadas,Brian R Herb, Wen Hu, Anita Huttner, Mohammad R Ishmam,Michelle M Jacobs,Jennifer Kelschenbach, Dong-Wook Kim,Cheyu Lee, Shuhui Liu, Xiaokun Liu,Bertha K Madras,Anup A Mahurkar,Deborah C Mash,Eran A Mukamel,Meng Niu,Richard M O'Connor,Chelsea M Pagan,Alina P S Pang, Piya Pillai,Vez Repunte-Canonigo,W Brad Ruzicka, Jay Stanley,Timothy Tickle, Shang-Yi A Tsai, Allen Wang,Lauren Wills,Alyssa M Wilson,Susan N Wright,Siwei Xu,Junchen Yang,Maryam Zand, Le Zhang, Jing Zhang,Schahram Akbarian,Shilpa Buch,Christine S Cheng,Michael J Corley,Howard S Fox,Mark Gerstein,Suryaram Gummuluru,Myriam Heiman,Ya-Chi Ho,Manolis Kellis,Paul J Kenny,Yuval Kluger,Teresa A Milner, David J Moore,Susan Morgello,Lishomwa C Ndhlovu,Tariq M Rana,Pietro Paolo Sanna,John S Satterlee,Nenad Sestan, Stephen A Spector,Serena Spudich,Hagen U Tilgner,David J Volsky, Owen R White, Dionne W Williams,Hongkui Zeng
Molecular psychiatrypp.1-12, (2024)
Matthew T. Biegler, Kirubel Belay,Wei Wang, Christina Szialta,Paul Collier,Ji-Dung Luo,Bettina Haase,Gregory L. Gedman, Asha V. Sidhu, Elijah Harter,Carlos Rivera-López, Kwame Amoako-Boadu,Olivier Fedrigo,Hagen U. Tilgner, Thomas Carroll,Erich D. Jarvis,Anna L. Keyte
Developmental biology (2024)
bioRxiv the preprint server for biology (2023)
Francisco J. Pardo-Palacios,Dingjie Wang,Fairlie Reese,Mark Diekhans,Silvia Carbonell-Sala,Brian Williams, Jane E. Loveland,Maite De Maria,Matthew S. Adams,Gabriela Balderrama-Gutierrez,Amit K. Behera,Jose M. Gonzalez Martinez,Toby Hunt,Julien Lagarde, Cindy E. Liang, Haoran Li, Marcus Jerryd Meade,David A. Moraga Amador,Andrey D. Prjibelski,Inanc Birol, Hamed Bostan, Ashley M. Brooks,Muhammed Hasan Celik,Ying Chen,Mei R. M. Du, Colette Felton,Jonathan Goeke,Saber Hafezqorani,Ralf Herwig,Hideya Kawaji,Joseph Lee,Jian-Liang Li,Matthias Lienhard, Alla Mikheenko, Dennis Mulligan,Ka Ming Nip,Mihaela Pertea,Matthew E. Ritchie, Andre D. Sim,Alison D. Tang,Yuk Kei Wan, Changqing Wang,Brandon Y. Wong, Chen Yang, If Barnes,Andrew E. Berry, Salvador Capella-Gutierrez, Alyssa Cousineau,Namrita Dhillon, Jose M. Fernandez-Gonzalez, Luis Ferrandez-Peral, Natalia Garcia-Reyero, Stefan Goetz, Carles Hernandez-Ferrer, Liudmyla Kondratova,Tianyuan Liu, Alessandra Martinez-Martin, Carlos Menor,Jorge Mestre-Tomas,Jonathan M. Mudge, Nedka G. Panayotova, Alejandro Paniagua,Dmitry Repchevsky, Xingjie Ren,Eric Rouchka, Brandon Saint-John, Enrique Sapena, Leon Sheynkman,Melissa Laird Smith,Marie-Marthe Suner,Hazuki Takahashi,Ingrid A. Youngworth,Piero Carninci,Nancy D. Denslow,Roderic Guigo,Margaret E. Hunter, Rene Maehr, Yin Shen,Hagen U. Tilgner,Barbara J. Wold,Christopher Vollmers,Adam Frankish,Kin Fai Au,Gloria M. Sheynkman,Ali Mortazavi,Ana Conesa,Angela N. Brooks
biorxiv(2023)
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作者统计
#Papers: 56
#Citation: 15131
H-Index: 24
G-Index: 56
Sociability: 7
Diversity: 0
Activity: 1
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