Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Anna S. E. Cuomo"'
Autor:
Anna S. E. Cuomo, Giordano Alvari, Christina B. Azodi, single-cell eQTLGen consortium, Davis J. McCarthy, Marc Jan Bonder
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-30 (2021)
Abstract Background Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing imp
Externí odkaz:
https://doaj.org/article/8a394abc75d74d0981d05f5928015dd2
Autor:
Anna S. E. Cuomo, Daniel D. Seaton, Davis J. McCarthy, Iker Martinez, Marc Jan Bonder, Jose Garcia-Bernardo, Shradha Amatya, Pedro Madrigal, Abigail Isaacson, Florian Buettner, Andrew Knights, Kedar Nath Natarajan, HipSci Consortium, Ludovic Vallier, John C. Marioni, Mariya Chhatriwala, Oliver Stegle
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Studying the genetic effects on early stages of human development is challenging due to a scarcity of biological material. Here, the authors utilise induced pluripotent stem cells from 125 donors to track gene expression changes and expression quanti
Externí odkaz:
https://doaj.org/article/a7b1f1030ed944ff83690e903da90113
Autor:
Anna S. E. Cuomo, Daniel D. Seaton, Davis J. McCarthy, Iker Martinez, Marc Jan Bonder, Jose Garcia-Bernardo, Shradha Amatya, Pedro Madrigal, Abigail Isaacson, Florian Buettner, Andrew Knights, Kedar Nath Natarajan, HipSci Consortium, Ludovic Vallier, John C. Marioni, Mariya Chhatriwala, Oliver Stegle
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/a8a149af37a3453ea2499263f7e30501
CellRegMap: a statistical framework for mapping context‐specific regulatory variants using scRNA‐seq
Publikováno v:
Molecular Systems Biology, Vol 18, Iss 8, Pp n/a-n/a (2022)
Abstract Single‐cell RNA sequencing (scRNA‐seq) enables characterizing the cellular heterogeneity in human tissues. Recent technological advances have enabled the first population‐scale scRNA‐seq studies in hundreds of individuals, allowing t
Externí odkaz:
https://doaj.org/article/dd1f4450ca5c4d6f8d42bc6a9a7ce3e3
Publikováno v:
Nature Reviews Genetics.
Publikováno v:
Nature Biotechnology. 39:1202-1215
The development of single-cell multimodal assays provides a powerful tool for investigating multiple dimensions of cellular heterogeneity, enabling new insights into development, tissue homeostasis and disease. A key challenge in the analysis of sing
CellRegMap: A statistical framework for mapping context-specific regulatory variants using scRNA-seq
Single cell RNA sequencing (scRNA-seq) enables characterizing the cellular heterogeneity in human tissues. Technological advances have enabled the first population-scale scRNA-seq studies in hundreds of individuals, allowing to assay genetic effects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a568a26f0cc0918908942919b0fcec6
https://doi.org/10.1101/2021.09.01.458524
https://doi.org/10.1101/2021.09.01.458524
Publikováno v:
Genome Biology
Genome Biology, Vol 22, Iss 1, Pp 1-30 (2021)
Genome Biology, Vol 22, Iss 1, Pp 1-30 (2021)
BackgroundSingle-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing improving, po
Autor:
Minal Patel, Daniel J. Gaffney, Daniel D Seaton, Oliver Stegle, Julie Jerber, John C. Marioni, Florian T. Merkle, Madeline A. Lancaster, Malin Andersson, Marc Jan Bonder, Anna S E Cuomo, Maya Ghoussaini, Juliette Steer, Ed Mountjoy, James Haldane, Natsuhiko Kumasaka, Daniel Pearce
Publikováno v:
Nat Genet
Common genetic variants can have profound effects on cellular function, but studying these effects in primary human tissue samples and during development is challenging. Human induced pluripotent stem cell (iPSC) technology holds great promise for as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b238f35c6c691fa5beac98ce1d3c6112
https://europepmc.org/articles/PMC7610897/
https://europepmc.org/articles/PMC7610897/
Single-cell RNA-sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing improving, population-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44de3d96c5331fda0bae182101b8823e
https://doi.org/10.1101/2021.01.20.427401
https://doi.org/10.1101/2021.01.20.427401