Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Luli S. Zou"'
Autor:
Luli S. Zou, Dylan M. Cable, Irving A. Barrera-Lopez, Tongtong Zhao, Evan Murray, Martin J. Aryee, Fei Chen, Rafael A. Irizarry
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Spatial transcriptomics technologies permit the study of the spatial distribution of RNA at near-single-cell resolution genome-wide. However, the feasibility of studying spatial allele-specific expression (ASE) from these data remains unchar
Externí odkaz:
https://doaj.org/article/243a30a797114d5ebbd7cb7d5e3cb877
Autor:
Vivek Rai, Daniel X. Quang, Michael R. Erdos, Darren A. Cusanovich, Riza M. Daza, Narisu Narisu, Luli S. Zou, John P. Didion, Yuanfang Guan, Jay Shendure, Stephen C.J. Parker, Francis S. Collins
Publikováno v:
Molecular Metabolism, Vol 32, Iss , Pp 109-121 (2020)
Objective: Type 2 diabetes (T2D) is a complex disease characterized by pancreatic islet dysfunction, insulin resistance, and disruption of blood glucose levels. Genome-wide association studies (GWAS) have identified > 400 independent signals that enc
Externí odkaz:
https://doaj.org/article/0652de6a60844aac846ea57777b9e833
Autor:
Luli S. Zou, Michael R. Erdos, D. Leland Taylor, Peter S. Chines, Arushi Varshney, The McDonnell Genome Institute, Stephen C. J. Parker, Francis S. Collins, John P. Didion
Publikováno v:
BMC Genomics, Vol 19, Iss 1, Pp 1-15 (2018)
Abstract Background Bisulfite sequencing is widely employed to study the role of DNA methylation in disease; however, the data suffer from biases due to coverage depth variability. Imputation of methylation values at low-coverage sites may mitigate t
Externí odkaz:
https://doaj.org/article/ca98178c6bb4404ca884764b5ac2aaff
Autor:
Dylan M. Cable, Evan Murray, Vignesh Shanmugam, Simon Zhang, Luli S. Zou, Michael Diao, Haiqi Chen, Evan Z. Macosko, Rafael A. Irizarry, Fei Chen
Publikováno v:
Nature Methods. 19:1076-1087
A central problem in spatial transcriptomics is detecting differentially expressed (DE) genes within cell types across tissue context. Challenges to learning DE include changing cell type composition across space and measurement pixels detecting tran
Autor:
Evan Z. Macosko, Dylan M. Cable, Aleksandrina Goeva, Luli S. Zou, Fei Chen, Evan Murray, Rafael A. Irizarry
Publikováno v:
Nat Biotechnol
Spatial transcriptomic technologies measure gene expression at increasing spatial resolution, approaching individual cells. However, a limitation of current technologies is that spatial measurements may contain contributions from multiple cells, hind
Autor:
Martin J. Aryee, Rafael A. Irizarry, Fei Chen, Tongtong Zhao, Evan Murray, Luli S. Zou, Dylan M Cable
Allele-specific expression (ASE), or the preferential expression of one allele, can be observed in transcriptomics data from early development throughout the lifespan. However, the prevalence of spatial and cell type-specific ASE variation remains un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb774fa5108621f939f198addc2f5738
https://doi.org/10.1101/2021.12.01.470861
https://doi.org/10.1101/2021.12.01.470861
Autor:
Y. Esther Tak, Joy E. Horng, Nicholas T. Perry, Hayley T. Schultz, Sowmya Iyer, Qiuming Yao, Luli S. Zou, Martin J. Aryee, Luca Pinello, J. Keith Joung
Publikováno v:
Nature Methods. 19:899-899
Autor:
Nicholas T. Perry, Martin J. Aryee, J. Keith Joung, Y. Esther Tak, Hayley T. Schultz, Luca Pinello, Luli S. Zou, Joy E. Horng, Qiuming Yao, Sowmya Iyer
Publikováno v:
Nature methods
Epigenetic editing is an emerging technology that uses artificial transcription factors (aTFs) to regulate expression of a target gene. Although human genes can be robustly upregulated by targeting aTFs to promoters, the activation induced by directi
Autor:
Stephen C. J. Parker, Jay Shendure, John P. Didion, Riza M. Daza, Daniel Quang, Narisu Narisu, Darren A. Cusanovich, Luli S. Zou, Vivek Rai, Yuanfang Guan, Michael R. Erdos, Francis S. Collins
Publikováno v:
Molecular Metabolism
Molecular Metabolism, Vol 32, Iss, Pp 109-121 (2020)
Molecular Metabolism, Vol 32, Iss, Pp 109-121 (2020)
Objective Type 2 diabetes (T2D) is a complex disease characterized by pancreatic islet dysfunction, insulin resistance, and disruption of blood glucose levels. Genome-wide association studies (GWAS) have identified > 400 independent signals that enco
Autor:
Riza M. Daza, Jay Shendure, Daniel Quang, Vivek Rai, John P. Didion, Francis S. Collins, Michael R. Erdos, Luli S. Zou, Narisu Narisu, Yuanfang Guan, Darren A. Cusanovich, Stephen C. J. Parker
ObjectiveType 2 diabetes (T2D) is a complex disease characterized by pancreatic islet dysfunction, insulin resistance, and disruption of blood glucose levels. Genome wide association studies (GWAS) have identified >400 independent signals that encode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54e7285c4a7cc6b1b33c3314006c07e2
https://doi.org/10.1101/749283
https://doi.org/10.1101/749283